{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](../docs/banner.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 3: Introduction to Pytorch & Neural Networks\n",
    "\n",
    "**By [Tomas Beuzen](https://www.tomasbeuzen.com/) 🚀**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](img/torch.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chapter Outline\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Chapter-Learning-Objectives\" data-toc-modified-id=\"Chapter-Learning-Objectives-2\">Chapter Learning Objectives</a></span></li><li><span><a href=\"#Imports\" data-toc-modified-id=\"Imports-3\">Imports</a></span></li><li><span><a href=\"#1.-Introduction\" data-toc-modified-id=\"1.-Introduction-4\">1. Introduction</a></span></li><li><span><a href=\"#2.-PyTorch's-Tensor\" data-toc-modified-id=\"2.-PyTorch's-Tensor-5\">2. PyTorch's Tensor</a></span></li><li><span><a href=\"#3.-Neural-Network-Basics\" data-toc-modified-id=\"3.-Neural-Network-Basics-6\">3. Neural Network Basics</a></span></li><li><span><a href=\"#4.-Activation-Functions\" data-toc-modified-id=\"4.-Activation-Functions-7\">4. Activation Functions</a></span></li><li><span><a href=\"#5.-Neural-Network-Classification\" data-toc-modified-id=\"5.-Neural-Network-Classification-8\">5. Neural Network Classification</a></span></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chapter Learning Objectives\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Describe the difference between `NumPy` and `torch` arrays (`np.array` vs. `torch.Tensor`).\n",
    "- Explain fundamental concepts of neural networks such as layers, nodes, activation functions, etc.\n",
    "- Create a simple neural network in PyTorch for regression or classification."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import NumPy as np\n",
    "import pandas as pd\n",
    "import torch\n",
    "from torchsummary import summary\n",
    "from torch import nn, optim\n",
    "from torch.utils.data import DataLoader, TensorDataset\n",
    "from sklearn.datasets import make_regression, make_circles, make_blobs\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from utils.plotting import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Introduction\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PyTorch is a Python-based tool for scientific computing that provides several main features:\n",
    "- `torch.Tensor`, an n-dimensional array similar to that of `NumPy`, but which can run on GPUs\n",
    "- Computational graphs and an automatic differentiation enginge for building and training neural networks\n",
    "\n",
    "You can install PyTorch from: https://pytorch.org/."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. PyTorch's Tensor\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In PyTorch a tensor is just like NumPy's `ndarray` which most readers will be familiar with already (if not, check out [Chapter 5](https://www.tomasbeuzen.com/python-programming-for-data-science/chapters/chapter5-numpy.html) and [Chapter 6](https://www.tomasbeuzen.com/python-programming-for-data-science/chapters/chapter6-numpy-addendum.html) of my [Python Programming for Data Science](https://www.tomasbeuzen.com/python-programming-for-data-science/README.html) course).\n",
    "\n",
    "A key difference between PyTorch's `torch.Tensor` and NumPy's `np.array` is that `torch.Tensor` was constructed to integrate with GPUs and PyTorch's computational graphs (more on that next chapter though)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1. `ndarray` vs `tensor`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating and working with tensors is much the same as with NumPy `ndarrays`. You can create a tensor with `torch.tensor()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([1, 2, 3]), dtype: torch.int64\n",
      "tensor([1., 2., 3.]), dtype: torch.float32\n",
      "tensor([1, 2, 3]), dtype: torch.int64\n"
     ]
    }
   ],
   "source": [
    "tensor_1 = torch.tensor([1, 2, 3])\n",
    "tensor_2 = torch.tensor([1, 2, 3], dtype=torch.float32)\n",
    "tensor_3 = torch.tensor(np.array([1, 2, 3]))\n",
    "\n",
    "for t in [tensor_1, tensor_2, tensor_3]:\n",
    "    print(f\"{t}, dtype: {t.dtype}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PyTorch also comes with most of the `NumPy` functions you're probably already familiar with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0., 0.],\n",
       "        [0., 0.]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.zeros(2, 2)  # zeroes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1., 1.],\n",
       "        [1., 1.]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.ones(2, 2)  # ones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[-1.1988, -0.7157],\n",
       "        [-0.1942, -1.7273],\n",
       "        [-1.0674,  0.4149]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.randn(3, 2)  # random normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[[0.0583, 0.3669],\n",
       "         [0.0315, 0.9852],\n",
       "         [0.1880, 0.5039]],\n",
       "\n",
       "        [[0.0234, 0.7198],\n",
       "         [0.5472, 0.1252],\n",
       "         [0.1728, 0.3510]]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.rand(2, 3, 2)  # rand uniform"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just like in NumPy we can look at the shape of a tensor with the `.shape` attribute:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2, 3, 2, 2])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = torch.rand(2, 3, 2, 2)\n",
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.ndim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2. Tensors and Data Types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Different data types have different memory and computational implications (see [Chapter 6 of Python Programming for Data Science](https://www.tomasbeuzen.com/python-programming-for-data-science/chapters/chapter6-numpy-addendum.html) for more). In Pytorch we'll be building networks that require thousands or even millions of floating point calculations! In such cases, using a smaller dtype like `float32` can significantly speed up computations and reduce memory requirements. The default float dtype in pytorch `float32`, as opposed to NumPy's `float64`. In fact some operations in Pytorch will even throw an error if you pass a high-memory `dtype`!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "float64\n",
      "torch.float32\n"
     ]
    }
   ],
   "source": [
    "print(np.array([3.14159]).dtype)\n",
    "print(torch.tensor([3.14159]).dtype)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But just like in NumPy, you can always specify the particular dtype you want using the `dtype` argument:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.float64\n"
     ]
    }
   ],
   "source": [
    "print(torch.tensor([3.14159], dtype=torch.float64).dtype)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3. Operations on Tensors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tensors operate just like `ndarrays` and have a variety of familiar methods that can be called off them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1.3773, 1.5033, 1.1765],\n",
       "        [0.9496, 1.0756, 0.7488],\n",
       "        [1.3639, 1.4899, 1.1631]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = torch.rand(1, 3)\n",
    "b = torch.rand(3, 1)\n",
    "\n",
    "a + b  # broadcasting betweean a 1 x 3 and 3 x 1 tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0.4183, 0.5349, 0.2325],\n",
       "        [0.2249, 0.2876, 0.1250],\n",
       "        [0.4122, 0.5271, 0.2292]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a * b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(0.4272)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(1.2816)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4. Indexing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again, same as NumPy!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[0.2803, 0.1461],\n",
      "        [0.1740, 0.9460],\n",
      "        [0.1257, 0.3427],\n",
      "        [0.7001, 0.3810],\n",
      "        [0.6504, 0.6580]])\n"
     ]
    }
   ],
   "source": [
    "X = torch.rand(5, 2)\n",
    "print(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([0.2803, 0.1461])\n",
      "tensor([0.2803, 0.1461])\n",
      "tensor([0.2803, 0.1740, 0.1257, 0.7001, 0.6504])\n"
     ]
    }
   ],
   "source": [
    "print(X[0, :])\n",
    "print(X[0])\n",
    "print(X[:, 0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.5. NumPy Bridge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sometimes we might want to convert a tensor back to a NumPy array. We can do that using the `.numpy()` method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'torch.Tensor'>\n",
      "<class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "X = torch.rand(3,3)\n",
    "print(type(X))\n",
    "X_NumPy = X.NumPy()\n",
    "print(type(X_NumPy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.6. GPU and CUDA Tensors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "GPU stands for \"graphical processing unit\" (as opposed to a CPU: central processing unit). GPUs were originally developed for gaming, they are very fast at performing operations on large amounts of data by performing them in parallel (think about updating the value of all pixels on a screen very quickly as a player moves around in a game). More recently, GPUs have been adapted for more general purpose programming. Neural networks can typically be broken into smaller computations that can be performed in parallel on a GPU. PyTorch is tightly integrated with CUDA - a software layer that facilitates interactions with a GPU (if you have one). You can check if you have GPU capability using:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cuda.is_available()  # my MacBook Pro does not have a GPU"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When training on a machine that has a GPU, you need to tell PyTorch you want to use it. You'll see the following at the top of most PyTorch code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cpu\n"
     ]
    }
   ],
   "source": [
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "print(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can then use the `device` argument when creating tensors to specify whether you wish to use a CPU or GPU. Or if you want to move a tensor between the CPU and GPU, you can use the `.to()` method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cpu\n"
     ]
    }
   ],
   "source": [
    "X = torch.rand(2, 2, 2, device=device)\n",
    "print(X.device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# X.to('cuda')  # this would give me an error as I don't have a GPU so I'm commenting out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll revisit GPUs later in the course when we are working with bigger datasets and more complex networks. For now, we can work on the CPU just fine."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Neural Network Basics\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's probably that you've already learned about several machine learning algorithms (kNN, Random Forest, SVM, etc.). Neural networks are simply another algorithm and actually one of the simplest in my opinion! As we'll see, a neural network is just a sequence of linear and non-linear transformations. Often you see something like this when learning about/using neural networks:\n",
    "\n",
    "![](img/nn-6.png)\n",
    "\n",
    "So what on Earth does that all mean? Well we are going to build up some intuition one step at a time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1. Simple Linear Regression with a Neural Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a simple regression dataset with 500 observations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(A,H)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,X)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,X)|0,n=n+Math.imul(A,J)|0,i=(i=i+Math.imul(A,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,X)|0,n=n+Math.imul(C,J)|0,i=(i=i+Math.imul(C,K)|0)+Math.imul(L,J)|0,a=a+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var Mt=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,J)|0,i=(i=i+Math.imul(P,K)|0)+Math.imul(z,J)|0,a=a+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),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(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ft)|0,i=(i=i+Math.imul(C,ht)|0)+Math.imul(L,ft)|0,a=a+Math.imul(L,ht)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(i=(i=i+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(z,ft)|0,a=a+Math.imul(z,ht)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,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]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(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<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var 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<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),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,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=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<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(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 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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 m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff 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r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:108}],100:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function 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       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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       " * @license   Licensed under MIT license\n",
       " *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE\n",
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a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function a(t){if(t<0)return Number(\"0/0\");for(var e=i[0],r=i.length-1;r>0;--r)e+=i[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(a(e));e-=1;for(var r=n[0],i=1;i<9;i++)r+=n[i]/(e+i);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=a},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,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 g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||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<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={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||m;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,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=f[M],this.lastCubeProps.axis[M]=h[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,f,h);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=h[M]:E[M]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var C=[0,0,0];h[M]>0?C[M]=a[1][M]:C[M]=a[0][M];for(var L=0;L<2;++L){var I=(M+1+L)%3,P=(M+1+(1^L))%3;this.gridEnable[I]&&this._lines.drawGrid(I,P,this.bounds,C,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(L=0;L<2;++L){I=(M+1+L)%3,P=(M+1+(1^L))%3;this.zeroEnable[P]&&Math.min(a[0][P],a[1][P])<=0&&Math.max(a[0][P],a[1][P])>=0&&this._lines.drawZero(I,P,this.bounds,C,this.zeroLineColor[P],this.zeroLineWidth[P]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*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(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[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\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[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 g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}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\":254,\"gl-buffer\":259,\"gl-vao\":358}],252:[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]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<M)+(L<<A)+(1-L<<S),P=z+(1-L<<A)+(L<<S);o(c[z],c[I],c[P],f)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){I=(z=L<<M)+(L<<A)+(1-L<<S),P=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;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=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":295,\"robust-orientation\":548,\"split-polygon\":566}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":259,\"gl-vao\":358}],254:[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;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);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\":335,glslify:257}],255:[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 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n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":295,\"gl-mat4/transpose\":306,\"gl-vec4/transformMat4\":429,\"split-polygon\":566}],259:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var 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:495,\"ndarray-ops\":490,\"typedarray-pool\":595}],260:[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,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.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(m)||(m=1),a.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],I=n.length(L)*k,P=0;P<8;P++){a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vertexIntensity.push(I,I,I),a.vertexIntensity.push(I,I,I);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":261,\"./lib/shaders\":262,\"gl-vec3\":377}],261:[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(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=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,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=h;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.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=g(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),m=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:m,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,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495}],262:[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:263}],263:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],264:[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\"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p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":335,glslify:267}],269:[function(t,e,r){\"use strict\";var 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 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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var 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):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?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;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":353}],270:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":265,\"glsl-shader-name\":431,\"sprintf-js\":567}],271:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=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),M=a.mallocUint8(2*w),A=a.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),a.free(k),a.free(T),a.free(M),a.free(A)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":272,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"iota-array\":463,\"typedarray-pool\":595}],272:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:273}],273:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],274:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":335,glslify:276}],275:[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 g=new v(e,r,o,s,l,d);return g.update(t),g};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 g(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 m(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:g(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:g(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],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!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(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],285:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],286:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],287:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],288:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],289:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],291:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],292:[function(t,e,r){e.exports={create:t(\"./create\"),clone:t(\"./clone\"),copy:t(\"./copy\"),identity:t(\"./identity\"),transpose:t(\"./transpose\"),invert:t(\"./invert\"),adjoint:t(\"./adjoint\"),determinant:t(\"./determinant\"),multiply:t(\"./multiply\"),translate:t(\"./translate\"),scale:t(\"./scale\"),rotate:t(\"./rotate\"),rotateX:t(\"./rotateX\"),rotateY:t(\"./rotateY\"),rotateZ:t(\"./rotateZ\"),fromRotation:t(\"./fromRotation\"),fromRotationTranslation:t(\"./fromRotationTranslation\"),fromScaling:t(\"./fromScaling\"),fromTranslation:t(\"./fromTranslation\"),fromXRotation:t(\"./fromXRotation\"),fromYRotation:t(\"./fromYRotation\"),fromZRotation:t(\"./fromZRotation\"),fromQuat:t(\"./fromQuat\"),frustum:t(\"./frustum\"),perspective:t(\"./perspective\"),perspectiveFromFieldOfView:t(\"./perspectiveFromFieldOfView\"),ortho:t(\"./ortho\"),lookAt:t(\"./lookAt\"),str:t(\"./str\")}},{\"./adjoint\":277,\"./clone\":278,\"./copy\":279,\"./create\":280,\"./determinant\":281,\"./fromQuat\":282,\"./fromRotation\":283,\"./fromRotationTranslation\":284,\"./fromScaling\":285,\"./fromTranslation\":286,\"./fromXRotation\":287,\"./fromYRotation\":288,\"./fromZRotation\":289,\"./frustum\":290,\"./identity\":291,\"./invert\":293,\"./lookAt\":294,\"./multiply\":295,\"./ortho\":296,\"./perspective\":297,\"./perspectiveFromFieldOfView\":298,\"./rotate\":299,\"./rotateX\":300,\"./rotateY\":301,\"./rotateZ\":302,\"./scale\":303,\"./str\":304,\"./translate\":305,\"./transpose\":306}],293:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,M=u*m-h*d,A=u*v-p*d,S=f*m-h*g,E=f*v-p*g,C=h*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(i*E-n*C-a*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(h*w-f*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-i*A+a*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-h*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-a*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(f*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+i*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-f*x+h*y)*L,t}},{}],294:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":291}],295:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],296:[function(t,e,r){e.exports=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}},{}],297:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],298:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],299:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],I=Math.sqrt(E*E+C*C+L*L);if(Math.abs(I)<1e-6)return null;E*=I=1/I,C*=I,L*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=C*E*o+L*i,_=L*E*o-C*i,w=E*C*o-L*i,T=C*C*o+a,k=L*C*o+E*i,M=E*L*o+C*i,A=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+f*A+g*S,t[9]=l*M+h*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],300:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],301:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],302:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],303:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],304:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],305:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],306:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],307:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":525}],308:[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:310}],309:[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\"),g=t(\"./lib/closest-point\"),m=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,g,m,v,y,x,b,_,T,k,M,A,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=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,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 M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.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 C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(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 I(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*M(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=I||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(Z[0],Z[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),f=L(t),h=I(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,M,P,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":307,\"./lib/shaders\":308,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,normals:498,\"simplicial-complex-contour\":556,\"typedarray-pool\":595}],310:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],311:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],312:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*f[0].length,P=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),z=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,O,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,O,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335}],313:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],314:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:316}],315:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var A=2/h[2+(1^t)]-h[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t]&&T&&(u[1^t]-=A*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]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t+2]&&T&&(u[1^t]+=A*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))}),g.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)}}}(),g.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],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/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()}),g.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<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"text-cache\":575}],316:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],317:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();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;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":311,\"./lib/grid\":312,\"./lib/line\":313,\"./lib/text\":315,\"gl-select-static\":334}],318:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,f*(Math.exp(A)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,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\":54,\"has-passive-events\":441,\"mouse-change\":483,\"mouse-event-offset\":484,\"mouse-wheel\":486,\"right-now\":542}],319:[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\":335,glslify:320}],320:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],321:[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 g(){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 m(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 g,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||{},M=i(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],I=[],P=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!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:M,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,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},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\",P=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,F);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function q(){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||{},P=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),P=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<I.length;++t)I[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,P=P||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,P=P||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}P=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(P=!0,Y())},N},createCamera:n}},{\"./camera.js\":318,\"./lib/shader\":319,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":258,\"gl-fbo\":269,\"gl-mat4/ortho\":296,\"gl-mat4/perspective\":297,\"gl-select-static\":334,\"gl-spikes3d\":345,\"is-mobile\":467,\"mouse-change\":483}],322:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),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:323}],323:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],324:[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<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var 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||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\":322,\"gl-buffer\":259,\"gl-shader\":335,\"typedarray-pool\":595}],325:[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],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);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*g,t[3]=s*h+l*m,t}},{}],326:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],327:[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<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":600}],328:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],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},g={vertex:o,fragment:c,attributes:u},m={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,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":335,glslify:329}],329:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],330:[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 g(t){return!0===t||t>1?1:t}function m(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),g=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 m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.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],M=[[0,0,0],[0,0,0]];function A(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 C(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,g=function(t){for(var e=M,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=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,I=(m+2)%3,P=A(x),z=A(b);P[L]=1,z[I]=1;var O=p(0,0,0,S(_,P)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=L;L=I,I=F}O[0]<0&&(P[L]=-1),D[1]>0&&(z[I]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*I+C],2);P[L]/=Math.sqrt(B),z[I]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&C(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=L,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 P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},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]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(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;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),I=o.mallocUint32(S);if(S>0){var z=0,O=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=P(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];I[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];I[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(I),o.free(E),o.free(C),o.free(L),o.free(I)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":326,\"./lib/glyphs\":327,\"./lib/shaders\":328,\"gl-buffer\":259,\"gl-mat4/multiply\":295,\"gl-vao\":358,\"is-string-blank\":470,\"typedarray-pool\":595}],331:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:332}],332:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],333:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){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\":331,\"gl-buffer\":259,\"gl-shader\":335}],334:[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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a=[t.id,e.id,r.join(\":\"),i.join(\":\")].join(\"@\"),o=this.programs[a];return o&&this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s<i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,\"Error linking program: \"+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{\"./GLError\":336,\"gl-format-compiler-error\":270,\"weakmap-shim\":605}],342:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}e.exports=function(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r};var i=n.prototype;i.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map((function(t){return t.slice()})),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},i.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],343:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],344:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":335,glslify:343}],345:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var 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.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":344,\"gl-buffer\":259,\"gl-vao\":358}],346:[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 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:347}],347:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],348:[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;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=h;h=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,M,A=a[0][d],S=a[0][v],E=a[1][g],C=a[1][y],L=a[2][m],I=(o-A)/(S-A),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,M=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,M=x*h*f;break;case 1:b=d,_=v,k=m*f,M=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,M=x*f*h}var O=i[b+w+k],D=i[b+w+M],R=i[b+T+k],F=i[b+T+M],B=i[_+w+k],N=i[_+w+M],j=i[_+T+k],U=i[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Y=n.create(),W=n.create();n.lerp(Y,V,H,P),n.lerp(W,q,G,P);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=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},m=[],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!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*i&&I.length<i&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){I.push(N),O=N,P.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*A/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\":346,\"gl-cone3d\":260,\"gl-vec3\":377,\"gl-vec4\":413}],349:[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\":335,glslify:350}],350:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],351:[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}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,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\",m.update(v),m};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\"),g=t(\"binary-search-bounds\"),m=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 M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,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 M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,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=A.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;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},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],C={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 L(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=C.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=C.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 C.showSurface=o,C.showContour=s,C}var I={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},P=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;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=z,n.vertexColor=this.vertexColor;var s=P;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=L(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<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var 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,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[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 g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,C=A*w-S*_,L=_*M-w*k,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),b.set(o,v,0,E*I),b.set(o,v,1,C*I),b.set(o,v,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),C=b.get(Y+1,W+1,1),L=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=C,N[j++]=L,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,J),z[0]=Math.max(z[0],X+this.objectOffset[0]),z[1]=Math.max(z[1],Z+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){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;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,i[1]),E=M-A,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*f.get(_,A)+I*f.get(_,S)+P*f.get(w,A)+z*f.get(w,S),D=L*p.get(_,A)+I*p.get(_,S)+P*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":349,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,\"ndarray-gradient\":488,\"ndarray-ops\":490,\"ndarray-pack\":491,\"surface-nets\":570,\"typedarray-pool\":595}],352:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var O=this.counts[P],D=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],I[2*z]=D.width[B],F){var j=I[2*z-2],U=I[2*z],V=I[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}I[2*z+1]=V}else I[2*z+1]=.5*I[2*z];z++}this.textWidth.push(I.length?.5*I[2*z-2]+I[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:I,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(I),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":354,\"is-plain-obj\":469,\"object-assign\":499,\"parse-rect\":504,\"parse-unit\":506,\"pick-by-alias\":511,regl:540,\"to-px\":578,\"typedarray-pool\":595}],353:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var 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strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var i=t[0].length;if(r<=i)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,i+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(i+1),u=0;u<=i;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var f=new a(l,new Array(i+1),!1),h=f.adjacent,p=new Array(i+2);for(u=0;u<=i;++u){for(var d=l.slice(),g=0;g<=i;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new a(d,new Array(i+1),!0);h[u]=v,p[u]=v}p[i+1]=f;for(u=0;u<=i;++u){d=h[u].vertices;var y=h[u].adjacent;for(g=0;g<=i;++g){var x=d[g];if(x<0)y[g]=f;else for(var b=0;b<=i;++b)h[b].vertices.indexOf(x)<0&&(y[g]=h[b])}}var _=new c(i,o,p),w=!!e;for(u=i+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),i=t(\"simplicial-complex\").compareCells;function a(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function o(t,e,r){this.vertices=t,this.cell=e,this.index=r}function s(t,e){return i(t.vertices,e.vertices)}a.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var l=[];function c(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter((function(t){return!t.boundary})),this.tuple=new Array(t+1);for(var i=0;i<=t;++i)this.tuple[i]=this.vertices[i];var a=l[t];a||(a=l[t]=function(t){for(var e=[\"function orient(){var tuple=this.tuple;return test(\"],r=0;r<=t;++r)r>0&&e.push(\",\"),e.push(\"tuple[\",r,\"]\");e.push(\")}return orient\");var i=new Function(\"test\",e.join(\"\")),a=n[t+1];return a||(a=n),i(a)}(t)),this.orient=a}var u=c.prototype;u.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;){(t=o.pop()).vertices;for(var s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,f=0;f<=r;++f){var h=u[f];i[f]=h<0?e:a[h]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)a[u]=i[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var f=c[u];if(!(f.lastVisited>=r)){var h=a[u];a[u]=t;var p=this.orient();if(a[u]=h,p<0){s=f;continue t}f.boundary?f.lastVisited=-r:f.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,f=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var h=[];f.length>0;){var p=(e=f.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=i[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),f.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new a(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}h.push(new o(S,k,b))}}}}}}h.sort(s);for(m=0;m+1<h.length;m+=2){var I=h[m],P=h[m+1],z=I.index,O=P.index;z<0||O<0||(I.cell.adjacent[I.index]=P.cell,P.cell.adjacent[P.index]=I.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var f=o[0];o[0]=o[1],o[1]=f}e.push(o)}}return e}},{\"robust-orientation\":548,\"simplicial-complex\":558}],460:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function i(t,e,r,n,i){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=i,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var a=i.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var i=r(t[n]);if(i)return i}}function f(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var i=r(t[n]);if(i)return i}}function h(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],a=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?a.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new i(n,m(a),m(o),c,u)}function v(t){this.root=t}a.intervals=function(t){return t.push.apply(t,this.leftPoints),this.left&&this.left.intervals(t),this.right&&this.right.intervals(t),t},a.insert=function(t){var e=this.count-this.leftPoints.length;if(this.count+=1,t[1]<this.mid)this.left?4*(this.left.count+1)>3*(e+1)?l(this,t):this.left.insert(t):this.left=m([t]);else if(t[0]>this.mid)this.right?4*(this.right.count+1)>3*(e+1)?l(this,t):this.right.insert(t):this.right=m([t]);else{var r=n.ge(this.leftPoints,t,d),i=n.ge(this.rightPoints,t,g);this.leftPoints.splice(r,0,t),this.rightPoints.splice(i,0,t)}},a.remove=function(t){var e=this.count-this.leftPoints;if(t[1]<this.mid)return this.left?4*(this.right?this.right.count:0)>3*(e-1)?c(this,t):2===(s=this.left.remove(t))?(this.left=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(t[0]>this.mid)return this.right?4*(this.left?this.left.count:0)>3*(e-1)?c(this,t):2===(s=this.right.remove(t))?(this.right=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(1===this.count)return this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,i=this.left;i.right;)r=i,i=i.right;if(r===this)i.right=this.right;else{var a=this.left,s=this.right;r.count-=i.count,r.right=i.left,i.left=a,i.right=s}o(this,i),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(a=n.ge(this.leftPoints,t,d);a<this.leftPoints.length&&this.leftPoints[a][0]===t[0];++a)if(this.leftPoints[a]===t){this.count-=1,this.leftPoints.splice(a,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},a.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return f(this.rightPoints,t,e)}return h(this.leftPoints,e)},a.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?f(this.rightPoints,t,r):h(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new i(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":461}],461:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],462:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],463:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],464:[function(t,e,r){e.exports=!0},{}],465:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],466:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],467:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],468:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],469:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],470:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],471:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],472:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],473:[function(t,e,r){!function(t,n){\"object\"==typeof r&&\"undefined\"!=typeof e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,i){if(t)if(e){var a=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=i(o)).workerUrl=window.URL.createObjectURL(new Blob([a],{type:\"text/javascript\"}))}else e=i;else t=i}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return 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r={transparent:[0,0,0,0],aliceblue:[240,248,255,1],antiquewhite:[250,235,215,1],aqua:[0,255,255,1],aquamarine:[127,255,212,1],azure:[240,255,255,1],beige:[245,245,220,1],bisque:[255,228,196,1],black:[0,0,0,1],blanchedalmond:[255,235,205,1],blue:[0,0,255,1],blueviolet:[138,43,226,1],brown:[165,42,42,1],burlywood:[222,184,135,1],cadetblue:[95,158,160,1],chartreuse:[127,255,0,1],chocolate:[210,105,30,1],coral:[255,127,80,1],cornflowerblue:[100,149,237,1],cornsilk:[255,248,220,1],crimson:[220,20,60,1],cyan:[0,255,255,1],darkblue:[0,0,139,1],darkcyan:[0,139,139,1],darkgoldenrod:[184,134,11,1],darkgray:[169,169,169,1],darkgreen:[0,100,0,1],darkgrey:[169,169,169,1],darkkhaki:[189,183,107,1],darkmagenta:[139,0,139,1],darkolivegreen:[85,107,47,1],darkorange:[255,140,0,1],darkorchid:[153,50,204,1],darkred:[139,0,0,1],darksalmon:[233,150,122,1],darkseagreen:[143,188,143,1],darkslateblue:[72,61,139,1],darkslategray:[47,79,79,1],darkslategrey:[47,79,79,1],darkturquoise:[0,206,209,1],darkviolet:[148,0,211,1],deeppink:[255,20,147,1],deepskyblue:[0,191,255,1],dimgray:[105,105,105,1],dimgrey:[105,105,105,1],dodgerblue:[30,144,255,1],firebrick:[178,34,34,1],floralwhite:[255,250,240,1],forestgreen:[34,139,34,1],fuchsia:[255,0,255,1],gainsboro:[220,220,220,1],ghostwhite:[248,248,255,1],gold:[255,215,0,1],goldenrod:[218,165,32,1],gray:[128,128,128,1],green:[0,128,0,1],greenyellow:[173,255,47,1],grey:[128,128,128,1],honeydew:[240,255,240,1],hotpink:[255,105,180,1],indianred:[205,92,92,1],indigo:[75,0,130,1],ivory:[255,255,240,1],khaki:[240,230,140,1],lavender:[230,230,250,1],lavenderblush:[255,240,245,1],lawngreen:[124,252,0,1],lemonchiffon:[255,250,205,1],lightblue:[173,216,230,1],lightcoral:[240,128,128,1],lightcyan:[224,255,255,1],lightgoldenrodyellow:[250,250,210,1],lightgray:[211,211,211,1],lightgreen:[144,238,144,1],lightgrey:[211,211,211,1],lightpink:[255,182,193,1],lightsalmon:[255,160,122,1],lightseagreen:[32,178,170,1],lightskyblue:[135,206,250,1],lightslategray:[119,136,153,1],lightslategrey:[119,136,153,1],lightsteelblue:[176,196,222,1],lightyellow:[255,255,224,1],lime:[0,255,0,1],limegreen:[50,205,50,1],linen:[250,240,230,1],magenta:[255,0,255,1],maroon:[128,0,0,1],mediumaquamarine:[102,205,170,1],mediumblue:[0,0,205,1],mediumorchid:[186,85,211,1],mediumpurple:[147,112,219,1],mediumseagreen:[60,179,113,1],mediumslateblue:[123,104,238,1],mediumspringgreen:[0,250,154,1],mediumturquoise:[72,209,204,1],mediumvioletred:[199,21,133,1],midnightblue:[25,25,112,1],mintcream:[245,255,250,1],mistyrose:[255,228,225,1],moccasin:[255,228,181,1],navajowhite:[255,222,173,1],navy:[0,0,128,1],oldlace:[253,245,230,1],olive:[128,128,0,1],olivedrab:[107,142,35,1],orange:[255,165,0,1],orangered:[255,69,0,1],orchid:[218,112,214,1],palegoldenrod:[238,232,170,1],palegreen:[152,251,152,1],paleturquoise:[175,238,238,1],palevioletred:[219,112,147,1],papayawhip:[255,239,213,1],peachpuff:[255,218,185,1],peru:[205,133,63,1],pink:[255,192,203,1],plum:[221,160,221,1],powderblue:[176,224,230,1],purple:[128,0,128,1],rebeccapurple:[102,51,153,1],red:[255,0,0,1],rosybrown:[188,143,143,1],royalblue:[65,105,225,1],saddlebrown:[139,69,19,1],salmon:[250,128,114,1],sandybrown:[244,164,96,1],seagreen:[46,139,87,1],seashell:[255,245,238,1],sienna:[160,82,45,1],silver:[192,192,192,1],skyblue:[135,206,235,1],slateblue:[106,90,205,1],slategray:[112,128,144,1],slategrey:[112,128,144,1],snow:[255,250,250,1],springgreen:[0,255,127,1],steelblue:[70,130,180,1],tan:[210,180,140,1],teal:[0,128,128,1],thistle:[216,191,216,1],tomato:[255,99,71,1],turquoise:[64,224,208,1],violet:[238,130,238,1],wheat:[245,222,179,1],white:[255,255,255,1],whitesmoke:[245,245,245,1],yellow:[255,255,0,1],yellowgreen:[154,205,50,1]};function n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return n(\"%\"===t[t.length-1]?parseFloat(t)/100*255:parseInt(t))}function a(t){return(e=\"%\"===t[t.length-1]?parseFloat(t)/100:parseFloat(t))<0?0:e>1?1:e;var e}function o(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,s=t.replace(/ /g,\"\").toLowerCase();if(s in r)return r[s].slice();if(\"#\"===s[0])return 4===s.length?(e=parseInt(s.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===s.length&&(e=parseInt(s.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=s.indexOf(\"(\"),c=s.indexOf(\")\");if(-1!==l&&c+1===s.length){var u=s.substr(0,l),f=s.substr(l+1,c-(l+1)).split(\",\"),h=1;switch(u){case\"rgba\":if(4!==f.length)return null;h=a(f.pop());case\"rgb\":return 3!==f.length?null:[i(f[0]),i(f[1]),i(f[2]),h];case\"hsla\":if(4!==f.length)return 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Qt=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};Qt.prototype.compare=function(t,e){return this.collator.compare(t,e)},Qt.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var $t=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},te=function(t){this.sections=t};te.fromString=function(t){return new te([new $t(t,null,null,null,null)])},te.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},te.factory=function(t){return t instanceof te?t:te.fromString(t)},te.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},te.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ee=function(t){this.name=t.name,this.available=t.available};function re(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function ne(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof Kt)return!0;if(t instanceof Qt)return!0;if(t instanceof te)return!0;if(t instanceof ee)return!0;if(Array.isArray(t)){for(var e=0,r=t;e<r.length;e+=1)if(!ne(r[e]))return!1;return!0}if(\"object\"==typeof t){for(var n in t)if(!ne(t[n]))return!1;return!0}return!1}function ie(t){if(null===t)return Ot;if(\"string\"==typeof t)return Rt;if(\"boolean\"==typeof t)return Ft;if(\"number\"==typeof t)return Dt;if(t instanceof Kt)return Bt;if(t instanceof Qt)return Ut;if(t instanceof te)return Vt;if(t instanceof ee)return qt;if(Array.isArray(t)){for(var e,r=t.length,n=0,i=t;n<i.length;n+=1){var a=ie(i[n]);if(e){if(e===a)continue;e=jt;break}e=a}return Ht(e||jt,r)}return Nt}function ae(t){var e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Kt||t instanceof te||t instanceof ee?t.toString():JSON.stringify(t)}ee.prototype.toString=function(){return this.name},ee.fromString=function(t){return t?new ee({name:t,available:!1}):null},ee.prototype.serialize=function(){return[\"image\",this.name]};var oe=function(t,e){this.type=t,this.value=e};oe.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!ne(t[1]))return e.error(\"invalid value\");var r=t[1],n=ie(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new oe(n,r)},oe.prototype.evaluate=function(){return this.value},oe.prototype.eachChild=function(){},oe.prototype.outputDefined=function(){return!0},oe.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof Kt?[\"rgba\"].concat(this.value.toArray()):this.value instanceof te?this.value.serialize():this.value};var se=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};se.prototype.toJSON=function(){return this.message};var le={string:Rt,number:Dt,boolean:Ft,object:Nt},ce=function(t,e){this.type=t,this.args=e};ce.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in le)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=le[s],n++}else a=jt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=Ht(a,o)}else r=le[i];for(var l=[];n<t.length;n++){var c=e.parse(t[n],n,jt);if(!c)return null;l.push(c)}return new ce(r,l)},ce.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!Wt(this.type,ie(r)))return r;if(e===this.args.length-1)throw new se(\"Expected value to be of type \"+Gt(this.type)+\", but found \"+Gt(ie(r))+\" instead.\")}return null},ce.prototype.eachChild=function(t){this.args.forEach(t)},ce.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ce.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var ue=function(t){this.type=Vt,this.sections=t};ue.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Dt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Ht(Rt))))return null;var c=null;if(o[\"text-color\"]&&!(c=e.parse(o[\"text-color\"],1,Bt)))return null;var u=n[n.length-1];u.scale=s,u.font=l,u.textColor=c}else{var f=e.parse(t[a],1,jt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new ue(n)},ue.prototype.evaluate=function(t){return new te(this.sections.map((function(e){var r=e.content.evaluate(t);return ie(r)===qt?new $t(\"\",r,null,null,null):new $t(ae(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},ue.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},ue.prototype.outputDefined=function(){return!1},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var fe=function(t){this.type=qt,this.input=t};fe.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Rt);return r?new fe(r):e.error(\"No image name provided.\")},fe.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ee.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},fe.prototype.eachChild=function(t){t(this.input)},fe.prototype.outputDefined=function(){return!1},fe.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var he={\"to-boolean\":Ft,\"to-color\":Bt,\"to-number\":Dt,\"to-string\":Rt},pe=function(t,e){this.type=t,this.args=e};pe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[0];if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");for(var n=he[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,jt);if(!o)return null;i.push(o)}return new pe(n,i)},pe.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof Kt)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":re(e[0],e[1],e[2],e[3])))return new Kt(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new se(r||\"Could not parse color from value '\"+(\"string\"==typeof e?e:String(JSON.stringify(e)))+\"'\")}if(\"number\"===this.type.kind){for(var o=null,s=0,l=this.args;s<l.length;s+=1){if(null===(o=l[s].evaluate(t)))return 0;var c=Number(o);if(!isNaN(c))return c}throw new se(\"Could not convert \"+JSON.stringify(o)+\" to number.\")}return\"formatted\"===this.type.kind?te.fromString(ae(this.args[0].evaluate(t))):\"resolvedImage\"===this.type.kind?ee.fromString(ae(this.args[0].evaluate(t))):ae(this.args[0].evaluate(t))},pe.prototype.eachChild=function(t){this.args.forEach(t)},pe.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},pe.prototype.serialize=function(){if(\"formatted\"===this.type.kind)return new ue([{content:this.args[0],scale:null,font:null,textColor:null}]).serialize();if(\"resolvedImage\"===this.type.kind)return new fe(this.args[0]).serialize();var t=[\"to-\"+this.type.kind];return this.eachChild((function(e){t.push(e.serialize())})),t};var de=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],ge=function(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null};ge.prototype.id=function(){return this.feature&&\"id\"in this.feature?this.feature.id:null},ge.prototype.geometryType=function(){return this.feature?\"number\"==typeof this.feature.type?de[this.feature.type]:this.feature.type:null},ge.prototype.geometry=function(){return this.feature&&\"geometry\"in this.feature?this.feature.geometry:null},ge.prototype.canonicalID=function(){return this.canonical},ge.prototype.properties=function(){return this.feature&&this.feature.properties||{}},ge.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=Kt.parse(t)),e};var me=function(t,e,r,n){this.name=t,this.type=e,this._evaluate=r,this.args=n};me.prototype.evaluate=function(t){return 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a=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[a],e[a+1]),s=r[a].evaluate(t),l=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ir=function(t,e){this.type=t,this.args=e};ir.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=e.parse(o[a],1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,i.push(s)}var l=n&&i.some((function(t){return Wt(n,t.type)}));return new ir(l?jt:r,i)},ir.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},ir.prototype.eachChild=function(t){this.args.forEach(t)},ir.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ir.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};ar.prototype.evaluate=function(t){return this.result.evaluate(t)},ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new ar(r,o):null},ar.prototype.outputDefined=function(){return this.result.outputDefined()},ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e];t.push(n[0],n[1].serialize())}return t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Xt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ie(e))+\" instead.\");if(!Zt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ie(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Xt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Dt);return i?new lr(r,n,i):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ie(e))+\" instead.\");if(!Zt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ie(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var 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e=this.input.evaluate(t);return(ie(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];e.push(1===h.length?s(h[0]):h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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fr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function hr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,jt);if(!a)return null;if(!hr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(a.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!hr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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0,o={}),e=e.concat(Xr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Vr(It(a[1]))?e.concat([new St(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return Lr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(It(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". 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en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(It(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+i+\" found\"));for(var s=2;s<r.length;s++)i=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:a.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==i&&\"number\"!==i&&\"boolean\"!==i&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+i+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==i&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+i+\" found\"));break;case\"within\":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==i&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+i+\" found\"))}return o}(t)}function fn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,a,'unknown property \"'+o+'\"')];if(\"string\"===zr(a)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new St(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new St(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(It(a))&&\"identity\"===Lt(a.type)&&f.push(new St(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Lt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Xr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Xr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Xr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return hn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,gn({key:e+\".\"+i,value:r[i]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var a,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Xr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(a=Xr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),a.push.apply(a,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return Xr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return Xr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return $r({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function yn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=zr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new St(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=a.concat(l&&n[l[1]]&&n[l[1]].transition?bn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r}):n[s]?bn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r}):[new St(s,e[s],'unknown property \"'+s+'\"')])}return a}var xn={\"*\":function(){return[]},array:Zr,boolean:function(t){var e=t.value,r=t.key,n=zr(e);return\"boolean\"!==n?[new St(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Jr,color:function(t){var e=t.key,r=t.value,n=zr(r);return\"string\"!==n?[new St(e,r,\"color expected, \"+n+\" 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r=r.concat(bn({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:_n,\"*\":function(){return[]}}})),t.constants&&(r=r.concat(Et({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),Tn(r)}function Tn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function kn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Tn(t.apply(this,e))}}wn.source=kn(vn),wn.light=kn(yn),wn.layer=kn(dn),wn.filter=kn(un),wn.paintProperty=kn(hn),wn.layoutProperty=kn(pn);var Mn=wn,An=Mn.light,Sn=Mn.paintProperty,En=Mn.layoutProperty;function Cn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1)t.fire(new kt(new Error(i[n].message))),r=!0;return r}var Ln=In;function In(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],this.d=(e=i[1])+2*(r=i[2]);for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length+1];this.keys=i.subarray(i[3+n.length],l),this.bboxes=i.subarray(l),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var u=r/e*t;this.min=-u,this.max=t+u}In.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},In.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},In.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},In.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},In.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[h]=!0,a.push(c[h])):o[h]=!1}}},In.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},In.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},In.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},In.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),i[3+t.length+1]=a+=this.keys.length,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Pn=self.ImageData,zn=self.ImageBitmap,On={};function Dn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),On[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var Rn in Dn(\"Object\",Object),Ln.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Ln.deserialize=function(t){return new Ln(t.buffer)},Dn(\"Grid\",Ln),Dn(\"Color\",Kt),Dn(\"Error\",Error),Dn(\"ResolvedImage\",ee),Dn(\"StylePropertyFunction\",Wr),Dn(\"StyleExpression\",Ur,{omit:[\"_evaluator\"]}),Dn(\"ZoomDependentExpression\",Gr),Dn(\"ZoomConstantExpression\",Hr),Dn(\"CompoundExpression\",me,{omit:[\"_evaluate\"]}),Tr)Tr[Rn]._classRegistryKey||Dn(\"Expression_\"+Rn,Tr[Rn]);function Fn(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function Bn(t){return zn&&t instanceof zn}function Nn(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(Fn(t)||Bn(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Pn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1)n.push(Nn(a[i],e));return n}if(\"object\"==typeof t){var o=t.constructor,s=o._classRegistryKey;if(!s)throw new Error(\"can't serialize object of unregistered class\");var l=o.serialize?o.serialize(t,e):{};if(!o.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(On[s].omit.indexOf(c)>=0)){var u=t[c];l[c]=On[s].shallow.indexOf(c)>=0?u:Nn(u,e)}t instanceof Error&&(l.message=t.message)}if(l.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==s&&(l.$name=s),l}throw new Error(\"can't serialize object of type \"+typeof t)}function jn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||Fn(t)||Bn(t)||ArrayBuffer.isView(t)||t instanceof Pn)return t;if(Array.isArray(t))return t.map(jn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=On[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if(\"$name\"!==o){var s=t[o];n[o]=On[e].shallow.indexOf(o)>=0?s:jn(s)}}return n}throw new Error(\"can't deserialize object of type \"+typeof t)}var Un=function(){this.first=!0};Un.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var Vn={\"Latin-1 Supplement\":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},\"Arabic Supplement\":function(t){return t>=1872&&t<=1919},\"Arabic Extended-A\":function(t){return t>=2208&&t<=2303},\"Hangul Jamo\":function(t){return t>=4352&&t<=4607},\"Unified Canadian Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description Characters\":function(t){return t>=12272&&t<=12287},\"CJK Symbols and Punctuation\":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},\"Hangul Compatibility Jamo\":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},\"Bopomofo Extended\":function(t){return t>=12704&&t<=12735},\"CJK Strokes\":function(t){return t>=12736&&t<=12783},\"Katakana Phonetic Extensions\":function(t){return t>=12784&&t<=12799},\"Enclosed CJK Letters and Months\":function(t){return t>=12800&&t<=13055},\"CJK Compatibility\":function(t){return t>=13056&&t<=13311},\"CJK Unified Ideographs Extension A\":function(t){return t>=13312&&t<=19903},\"Yijing Hexagram Symbols\":function(t){return t>=19904&&t<=19967},\"CJK Unified Ideographs\":function(t){return t>=19968&&t<=40959},\"Yi Syllables\":function(t){return t>=40960&&t<=42127},\"Yi Radicals\":function(t){return t>=42128&&t<=42191},\"Hangul Jamo Extended-A\":function(t){return t>=43360&&t<=43391},\"Hangul Syllables\":function(t){return t>=44032&&t<=55215},\"Hangul Jamo Extended-B\":function(t){return t>=55216&&t<=55295},\"Private Use Area\":function(t){return t>=57344&&t<=63743},\"CJK Compatibility Ideographs\":function(t){return t>=63744&&t<=64255},\"Arabic Presentation Forms-A\":function(t){return t>=64336&&t<=65023},\"Vertical Forms\":function(t){return t>=65040&&t<=65055},\"CJK Compatibility Forms\":function(t){return t>=65072&&t<=65103},\"Small Form Variants\":function(t){return t>=65104&&t<=65135},\"Arabic Presentation Forms-B\":function(t){return t>=65136&&t<=65279},\"Halfwidth and Fullwidth Forms\":function(t){return t>=65280&&t<=65519}};function qn(t){for(var e=0,r=t;e<r.length;e+=1)if(Hn(r[e].charCodeAt(0)))return!0;return!1}function Hn(t){return!(746!==t&&747!==t&&(t<4352||!(Vn[\"Bopomofo Extended\"](t)||Vn.Bopomofo(t)||Vn[\"CJK Compatibility 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},ii.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ai=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ai.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ai.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oi=function(t){this.property=t,this.value=new ai(t,void 0)};oi.prototype.transitioned=function(t,e){return new li(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oi.prototype.untransitioned=function(){return new li(this.property,this.value,null,{},0)};var si=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};si.prototype.getValue=function(t){return x(this._values[t].value.value)},si.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].value=new ai(this._values[t].property,null===e?void 0:x(e))},si.prototype.getTransition=function(t){return x(this._values[t].transition)},si.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].transition=x(e)||void 0},si.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},si.prototype.transitioned=function(t,e){for(var r=new ci(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},si.prototype.untransitioned=function(){for(var t=new ci(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var li=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};li.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ci.prototype.possiblyEvaluate=function(t,e,r){for(var n=new hi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ci.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ui=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ui.prototype.getValue=function(t){return x(this._values[t].value)},ui.prototype.setValue=function(t,e){this._values[t]=new ai(this._values[t].property,null===e?void 0:x(e))},ui.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ui.prototype.possiblyEvaluate=function(t,e,r){for(var n=new hi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var fi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};fi.prototype.isConstant=function(){return\"constant\"===this.value.kind},fi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},fi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var hi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};hi.prototype.get=function(t){return this._values[t]};var pi=function(t){this.specification=t};pi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pi.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var di=function(t,e){this.specification=t,this.overrides=e};di.prototype.possiblyEvaluate=function(t,e,r,n){return new fi(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},di.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new fi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new fi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},di.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new fi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new fi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new fi(this,{kind:\"constant\",value:s},e)}return new fi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(di),mi=function(t){this.specification=t};mi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new ii(Math.floor(e.zoom-1),e)),t.expression.evaluate(new ii(Math.floor(e.zoom),e)),t.expression.evaluate(new ii(Math.floor(e.zoom+1),e)),e)}},mi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},mi.prototype.interpolate=function(t){return t};var vi=function(t){this.specification=t};vi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},vi.prototype.interpolate=function(){return!1};var yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ai(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new oi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",di),Dn(\"DataConstantProperty\",pi),Dn(\"CrossFadedDataDrivenProperty\",gi),Dn(\"CrossFadedProperty\",mi),Dn(\"ColorRampProperty\",vi);var xi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ui(r.layout)),r.paint)){for(var n in this._transitionablePaint=new si(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new hi(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],i=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],a=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||a||i||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof fi&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),bi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ti(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i=bi[t.type].BYTES_PER_ELEMENT,a=r=ki(r,Math.max(e,i)),o=t.components||1;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ki(r,Math.max(n,e)),alignment:e}}function ki(t,e){return Math.ceil(t/e)*e}wi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wi.prototype.clear=function(){this.length=0},wi.prototype.resize=function(t){this.reserve(t),this.length=t},wi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Mi.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Mi);var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ai.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Ai);var Si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Si.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Si);var Ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ei.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ei);var Ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ci.prototype.bytesPerElement=18,Dn(\"StructArrayLayout8ui2ub18\",Ci);var Li=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Li.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",Li);var Ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ii.prototype.bytesPerElement=12,Dn(\"StructArrayLayout3f12\",Ii);var Pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){return this.uint32[1*t+0]=e,t},e}(wi);Pi.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1ul4\",Pi);var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);zi.prototype.bytesPerElement=20,Dn(\"StructArrayLayout6i1ul2ui20\",zi);var Oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Oi.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i2i2i12\",Oi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Di.prototype.bytesPerElement=16,Dn(\"StructArrayLayout2f1f2i16\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ri.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2ub2f12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Fi.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3ui6\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,g,m){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,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,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]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wi);Bi.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,g,m,v,y,x,b,_,w,T,k,M,A,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,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=f,this.uint16[C+11]=h,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wi);Ni.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){return this.float32[1*t+0]=e,t},e}(wi);ji.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ui.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ui);var 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a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Sa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Sa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ea=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ea.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new ii(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new ii(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ea.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ea.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=ka(r),a=ka(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ea.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ea.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ea.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ea.prototype.getBinding=function(t,e,r){return new va(t,e)};var Ca=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Ca.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ca.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Ca.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=n[r.min],a=n[r.mid],o=n[r.max];if(i&&a&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],i.tl[0],i.tl[1],i.br[0],i.br[1],a.pixelRatio,i.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],a.pixelRatio,o.pixelRatio)}},Ca.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oa.members,this.expression.isStateDependent))},Ca.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var La=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof fi&&Lr(o.property.specification)){var s=Pa(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Aa(l.value,s):new Ma(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=za(a,c,\"source\");this.binders[a]=h?new Ca(l,c,u,e,p,t.id):new Sa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=za(a,c,\"composite\");this.binders[a]=new Ea(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};La.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Sa||e instanceof Ea?e.maxValue:0},La.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Sa||o instanceof Ea||o instanceof Ca)&&o.populatePaintArray(t,e,r,n,i)}},La.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Aa&&n.setConstantPatternPositions(t,e)}},La.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Sa||h instanceof Ea||h instanceof Ca)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},La.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Ma||r instanceof Aa)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},La.prototype.getPaintVertexBuffers=function(){return this._buffers},La.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Ma||i instanceof Aa||i instanceof Ea)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},La.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},La.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ca){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Sa||r instanceof Ea)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},La.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Sa||r instanceof Ea||r instanceof Ca)&&r.upload(t)}this.updatePaintBuffers()},La.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Sa||e instanceof Ea||e instanceof Ca)&&e.destroy()}};var Ia=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new La(o,r,n,t)}this.needsUpload=!1,this._featureMap=new fa,this._bufferOffset=0};function Pa(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function za(t,e,r){var n={color:{source:Gi,composite:Yi},number:{source:ji,composite:Gi}},i=function(t){return{\"line-pattern\":{source:Ci,composite:Ci},\"fill-pattern\":{source:Ci,composite:Ci},\"fill-extrusion-pattern\":{source:Ci,composite:Ci}}[t]}(t);return i&&i[r]||n[e][r]}Ia.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ia.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ia.prototype.get=function(t){return this.programConfigurations[t]},Ia.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ia.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Ma),Dn(\"CrossFadedConstantBinder\",Aa),Dn(\"SourceExpressionBinder\",Sa),Dn(\"CrossFadedCompositeBinder\",Ca),Dn(\"CompositeExpressionBinder\",Ea),Dn(\"ProgramConfiguration\",La,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Ia);var Oa={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Da(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oa.min||o.x>Oa.max||o.y<Oa.min||o.y>Oa.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oa.min,Oa.max),o.y=l(o.y,Oa.min,Oa.max))}return r}function Ra(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Fa=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Mi,this.indexArray=new Fi,this.segments=new ia,this.programConfigurations=new Ia(na,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ba(t,e){for(var r=0;r<t.length;r++)if(Wa(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wa(t,e[n]))return!0;return!!Va(t,e)}function Na(t,e,r){return!!Wa(t,e)||!!Ha(e,t,r)}function ja(t,e){if(1===t.length)return Ya(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Wa(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ya(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Va(t,e[o]))return!0;return!1}function Ua(t,e,r){if(t.length>1){if(Va(t,e))return!0;for(var n=0;n<e.length;n++)if(Ha(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(Ha(t[i],e,r))return!0;return!1}function Va(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(qa(n,i,e[a],e[a+1]))return!0;return!1}function qa(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Ha(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Ga(t,e[i-1],e[i])<n)return!0;return!1}function Ga(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(i<0?e:i>1?r:r.sub(e)._mult(i)._add(e))}function Ya(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(i=r[l]).y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Wa(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Xa(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function Za(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ja(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ka(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fa.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Da(c):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),d,r)){p||(d.geometry=Da(c));var g=a?a.evaluate(d,{},r):void 0;i.push({id:u,properties:c.properties,type:c.type,sourceLayerIndex:h,index:f,geometry:d.geometry,patterns:{},sortKey:g})}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y.geometry,b=y.index,_=y.sourceLayerIndex,w=t[b].feature;this.addFeature(y,x,b,r),e.featureIndex.insert(w,x,b,_,this.index)}},Fa.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Fa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Fa.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fa.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,na),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fa.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=f.vertexLength;Ra(this.layoutVertexArray,c,u,-1,-1),Ra(this.layoutVertexArray,c,u,1,-1),Ra(this.layoutVertexArray,c,u,1,1),Ra(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),f.vertexLength+=4,f.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Dn(\"CircleBucket\",Fa,{omit:[\"layers\"]});var Qa=new yi({\"circle-sort-key\":new di(At.layout_circle[\"circle-sort-key\"])}),$a={paint:new yi({\"circle-radius\":new di(At.paint_circle[\"circle-radius\"]),\"circle-color\":new di(At.paint_circle[\"circle-color\"]),\"circle-blur\":new di(At.paint_circle[\"circle-blur\"]),\"circle-opacity\":new di(At.paint_circle[\"circle-opacity\"]),\"circle-translate\":new pi(At.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=us(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var fs=hs;function hs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new fs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}hs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:fs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,i*vs*2,a*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Si,this.indexArray=new Fi,this.programConfigurations=new Ia(os,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Da(o):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Da(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Qo(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>8192}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){f.vertexLength+4>ia.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>ia.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=f.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var 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a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Ts(s,s),f=Ts(s,l),h=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=i.z*(1-m-v)+r.z*m+a.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ti([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ei,this.indexArray=new Fi,this.programConfigurations=new Ia(Ms,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return 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a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1)this.addLine(f[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Cs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 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o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,a,!1,r,i),this.addHalfVertex(t,o,s,a,!0,-n,i),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Cs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),i?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new yi({\"line-cap\":new 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n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Zs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Zs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,il,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var hl=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(hl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=fl(i),o=new po({width:a.w||1,height:a.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var f=e[u],h=n[u].paddedRect,p=h.x+1,d=h.y+1,g=f.data.width,m=f.data.height;po.copy(f.data,o,{x:0,y:0},{x:p,y:d},f.data),po.copy(f.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(f.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(f.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(f.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new hl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",hl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=vl.fromFeature(t,i);f===gl.vertical&&v.verticalizePunctuation();var y=ni.processBidirectionalText,x=ni.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,a,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,Ml(v,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,I=null,P=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,L=w+(24-F[1]*S.scale),O=(I={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:h,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),h+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:h,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),h+=I.advance*S.scale+c)}0!==k.length&&(d=Math.max(h-c,d),Sl(k,0,k.length-1,m,M)),h=0;var q=a*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=a,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,X=Y.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c,u=(e-r)*i;c=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,X,d,g,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||i&&Gn(i)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(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 wl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,i,a){for(var o=null,s=wl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],f=wl(e-u.x,r,i,a)+u.badness;f<=s&&(o=u,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"\\u200b\")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(xl[d]||(f+=_l(d,p,n,i,e,o)),h<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,g=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+g+n[1]):f=(p=i[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*a,v=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+m-n[0],h=i[1]+v+n[2]):h=(u=i[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:f,bottom:h,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);function Ll(t,e){var r=e.expression;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new ii(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:i}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new ii(s)),maxSize:r.evaluate(new ii(l)),interpolationType:i}}function Il(t,e,r){var n=e.uSize,i=r.lowerSize;return\"source\"===t.kind?i/128:\"composite\"===t.kind?Ue(i/128,r.upperSize/128,e.uSizeT):n}function Pl(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var i=t.interpolationType,a=i?l(rr.interpolationFactor(i,e,t.minZoom,t.maxZoom),0,1):0;\"camera\"===t.kind?n=Ue(t.minSize,t.maxSize,a):r=a}return{uSizeT:r,uSize:n}}Dn(\"Anchor\",Cl);var 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h=Hl(n.stretch-x,b,u,t.left),p=Gl(n.fixed-T,k,n.stretch,g),d=Hl(a.stretch-_,w,f,t.top),v=Gl(a.fixed-M,A,a.stretch,m),y=Hl(l.stretch-x,b,u,t.left),S=Gl(l.fixed-T,k,l.stretch,g),E=Hl(c.stretch-_,w,f,t.top),C=Gl(c.fixed-M,A,c.stretch,m),L=new i(h,d),I=new i(y,d),P=new i(y,E),z=new i(h,E),O=new i(p/s,v/s),D=new i(S/s,C/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];L._matMult(N),I._matMult(N),z._matMult(N),P._matMult(N)}var j=n.stretch+n.fixed,U=a.stretch+a.fixed;return{tl:L,tr:I,bl:z,br:P,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+U,w:l.stretch+l.fixed-j,h:c.stretch+c.fixed-U},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:O,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var C=ql(h,v,g),L=ql(p,y,m),I=0;I<C.length-1;I++)for(var P=C[I],z=C[I+1],O=0;O<L.length-1;O++)a.push(E(P,L[O],z,L[O+1]));else 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k=s[m.imageName];x=k.sdf,y=1/(b=k.pixelRatio)}var M=a?[m.x+T,m.y]:[0,0],A=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],S=[0,0];w&&(S=A,A=[0,0]);var E=(m.metrics.left-y)*m.scale-T+A[0],C=(-m.metrics.top-y)*m.scale+A[1],L=E+v.w*m.scale/b,I=C+v.h*m.scale/b,P=new i(E,C),z=new i(L,C),O=new i(E,I),D=new i(L,I);if(w){var R=new i(-T,T- -17),F=-Math.PI/2,B=12-T,N=new i(22-B,-(m.imageName?B:0)),j=new(Function.prototype.bind.apply(i,[null].concat(S)));P._rotateAround(F,R)._add(N)._add(j),z._rotateAround(F,R)._add(N)._add(j),O._rotateAround(F,R)._add(N)._add(j),D._rotateAround(F,R)._add(N)._add(j)}if(c){var U=Math.sin(c),V=Math.cos(c),q=[V,-U,U,V];P._matMult(q),z._matMult(q),O._matMult(q),D._matMult(q)}var H=new i(0,0),G=new i(0,0);u.push({tl:P,tr:z,bl:O,br:D,tex:v,writingMode:e.writingMode,glyphOffset:M,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:H,pixelOffsetBR:G,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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Fi,this.programConfigurations=t,this.segments=new ia,this.dynamicLayoutVertexArray=new Ii,this.opacityVertexArray=new Pi,this.placedSymbolArray=new Ji};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ac,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ia,this.collisionVertexArray=new Ri};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var fc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fc.prototype.createArrays=function(){this.text=new cc(new Ia(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Ia(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $i,this.lineVertexArray=new ta,this.symbolInstances=new Qi},fc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Us[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new ii(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Da(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Da(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ei()||this.hasRTLText&&ni.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Da(y),properties:y.properties,type:ic[y.type],sortKey:C};if(this.features.push(L),S&&(f[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)f[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||I,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},fc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},fc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,I=b.isSDF,P=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,I,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,I,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,I,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,I,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(z,z+1,z+2),h.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i);this.addCollisionDebugVertices(a.x1,a.y1,a.x2,a.y2,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oi,Bs.members,qi),this.iconCollisionBox=new uc(Oi,Bs.members,qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},fc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},fc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},fc.prototype.hasTextData=function(){return this.text.segments.get().length>0},fc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},fc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},fc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=this.symbolInstances.get(n[r]);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,i.verticalPlacedTextSymbolIndex),i.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.placedIconSymbolIndex),i.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",fc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fc.MAX_GLYPHS=65535,fc.addDynamicAttributes=sc;var hc=new yi({\"symbol-placement\":new pi(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pi(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pi(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new di(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pi(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pi(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pi(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pi(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pi(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new di(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pi(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pi(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new di(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new di(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pi(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pi(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new di(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new di(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pi(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pi(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pi(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new di(At.layout_symbol[\"text-field\"]),\"text-font\":new di(At.layout_symbol[\"text-font\"]),\"text-size\":new di(At.layout_symbol[\"text-size\"]),\"text-max-width\":new di(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pi(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new di(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new di(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new di(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pi(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new di(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pi(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pi(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new di(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pi(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pi(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new di(At.layout_symbol[\"text-transform\"]),\"text-offset\":new di(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pi(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pi(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pi(At.layout_symbol[\"text-optional\"])}),pc={paint:new yi({\"icon-opacity\":new di(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new di(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new di(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new di(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new di(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pi(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pi(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new di(At.paint_symbol[\"text-opacity\"]),\"text-color\":new di(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new di(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new di(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new di(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pi(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pi(At.paint_symbol[\"text-translate-anchor\"])}),layout:hc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.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},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Vr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new dc(a),s=new Ur(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new fi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){i||(t instanceof oe&&ie(t.value)===Vt?a(t.value.sections):t instanceof ue?a(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(xi),mc={paint:new yi({\"background-color\":new pi(At.paint_background[\"background-color\"]),\"background-pattern\":new mi(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pi(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),yc={paint:new yi({\"raster-opacity\":new pi(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pi(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pi(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pi(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pi(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pi(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pi(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pi(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xi),_c={circle:oo,heatmap:vo,hillshade:xo,fill:as,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===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)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(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:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,a)},a)}:function(t){i=!0},s=null,l=jn(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)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Ic=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]))};Ic.prototype.setNorthEast=function(t){return this._ne=t instanceof Pc?new Pc(t.lng,t.lat):Pc.convert(t),this},Ic.prototype.setSouthWest=function(t){return this._sw=t instanceof Pc?new Pc(t.lng,t.lat):Pc.convert(t),this},Ic.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Pc)e=t,r=t;else{if(!(t instanceof Ic))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Ic.convert(t)):this.extend(Pc.convert(t)):this;if(r=t._ne,!(e=t._sw)||!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 Pc(e.lng,e.lat),this._ne=new Pc(r.lng,r.lat)),this},Ic.prototype.getCenter=function(){return new Pc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ic.prototype.getSouthWest=function(){return this._sw},Ic.prototype.getNorthEast=function(){return this._ne},Ic.prototype.getNorthWest=function(){return new Pc(this.getWest(),this.getNorth())},Ic.prototype.getSouthEast=function(){return new Pc(this.getEast(),this.getSouth())},Ic.prototype.getWest=function(){return this._sw.lng},Ic.prototype.getSouth=function(){return this._sw.lat},Ic.prototype.getEast=function(){return this._ne.lng},Ic.prototype.getNorth=function(){return this._ne.lat},Ic.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ic.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ic.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ic.prototype.contains=function(t){var e=Pc.convert(t),r=e.lng,n=e.lat,i=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(i=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&i},Ic.convert=function(t){return!t||t instanceof Ic?t:new Ic(t)};var Pc=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\")};Pc.prototype.wrap=function(){return new Pc(c(this.lng,-180,180),this.lat)},Pc.prototype.toArray=function(){return[this.lng,this.lat]},Pc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Pc.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))},Pc.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 Ic(new Pc(this.lng-r,this.lat-e),new Pc(this.lng+r,this.lat+e))},Pc.convert=function(t){if(t instanceof Pc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Pc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Pc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Pc.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Pc(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,i,a,o,s=(n=this.y,i=this.z,a=Lc(256*(r=this.x),256*(n=Math.pow(2,i)-n-1),i),o=Lc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+i),this.key=qc(e,t,r,n,i)};function qc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(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 Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Xc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Xc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Xc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Xc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var i=this.deletedStates[t][e];if(null===i)return{};for(var a in i)delete n[a]}return n},Xc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Xc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1)delete this.state[o][c][h[f]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ra,this.promoteId=e};function Jc(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof hi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Qc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=Kc(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=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<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=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<f.length;u+=1)if(Wa(t,f[u]))return!0;for(var h=0;h<t.length-1;h++)if(Xa(t[h],t[h+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)}));d<g.length;d+=1)h.push(g[d]);h.sort(Qc);for(var m,v={},y=function(i){var u=h[i];if(u!==m){m=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(v,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Da(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<h.length;x++)y(x);return v},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new ii(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=rn(i),u=0,f=t;u<f.length;u+=1)this.loadMatchingFeature(l,r,n,f[u],c,a,o,s,e);return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof fc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fc&&o.hasRTLText){this.hasRTLText=!0,ni.isLoading()||ni.isLoaded()||\"deferred\"!==ei()||ri();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Xi},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new ii(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new Yc(p,l,c,u,d);g.tile=f,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=this.dependencies[n[r]];if(i)for(var a=0,o=e;a<o.length;a+=1)if(i[o[a]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=ho,t.CanonicalTileID=jc,t.CollisionBoxArray=Xi,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pi,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=ii,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Zc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=hl,t.LineBucket=Cs,t.LngLat=Pc,t.LngLatBounds=Ic,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=i,t.Point$1=i,t.Properties=yi,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ht,t.SegmentVector=ia,t.SourceFeatureState=Xc,t.StructArrayLayout1ui2=Hi,t.StructArrayLayout2f1f2i16=Di,t.StructArrayLayout2i4=Mi,t.StructArrayLayout3ui6=Fi,t.StructArrayLayout4i8=Ai,t.SymbolBucket=fc,t.Texture=Sc,t.Tile=$c,t.Transitionable=si,t.Uniform1f=va,t.Uniform1i=ma,t.Uniform2f=ya,t.Uniform3f=xa,t.Uniform4f=ba,t.UniformColor=_a,t.UniformMatrix4f=Ta,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ut=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=jl,t.clone=function(t){var e=new to(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 to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return to!=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 to(9);return to!=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 to(4);return to!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=qr,t.createLayout=Ti,t.createStyleLayer=function(t){return\"custom\"===t.type?new bc(t):new _c[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=Cn,t.endsWith=m,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Il,t.evaluateSizeForZoom=Pl,t.evaluateVariableOffset=$l,t.evented=ti,t.extend=u,t.featureFilter=rn,t.filterObject=y,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Al,t.getAnchorJustification=tc,t.getArrayBuffer=yt,t.getImage=bt,t.getJSON=function(t,e){return vt(u(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=ei,t.getReferrer=mt,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement(\"source\");r=t[a],n=void 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r}function ft(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ht(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(pt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function pt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function dt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function gt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)mt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)mt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function mt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=rt(t,1,-1-r,r,0,-1,2,e),a=rt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=ut(i,1).concat(n)),a&&(n=n.concat(ut(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[i+1]=new D(s,G,Y,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.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(V(r),q(a),V(i),q(n));u<f.length;u+=1){var h=l.points[f[u]];c.push(h.numPoints?j(h):this.points[h.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=i.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.radius/a.extent,s=(r-o)/i,l=(r+1+o)/i,c={features:[]};return this._addTileFeatures(n.range((e-o)/i,s,(e+1+o)/i,l),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-o/i,s,1,l),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,s,o/i,l),n.points,-1,r,i,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},F.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?U(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.reduce,a=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,a),u=s.numPoints||1,f=s.x*u,h=s.y*u,p=i&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;f+=v.x*y,h+=v.y*y,u+=y,v.parentId=d,i&&(p||(p=this._map(s,!0)),i(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(f/u,h/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=yt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=dt(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<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=rt(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=rt(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=rt(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],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)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ht(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[yt(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]?ht(this.tiles[s],i):null):null};var bt=function(e){function r(t,r,n,i){e.call(this,t,r,n,xt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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.\"));!function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===i)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===i)t(e.geometry,r);else if(\"Polygon\"===i)f(e.coordinates,r);else if(\"MultiPolygon\"===i)for(n=0;n<e.coordinates.length;n++)f(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(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<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=t.createExpression(h[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=d.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new this.workerSourceTypes[e]({send:function(e,r,i){n.actor.send(e,r,i,t)}},this.getLayerIndex(t),this.getAvailableImages(t))),this.workerSources[t][e][r]},_t.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},_t.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new _t(t.window)),_t})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"==typeof window||\"undefined\"==typeof document?\"not a browser\":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1)this.images[i[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1)i.push({stack:a,id:s[o]});t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:i=s*r,right:a=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.width*(this.nextRow+r+i),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),f=Math.min(c,u),h=void 0,p=i/r*(n+1);if(s.isDash){var d=n-Math.abs(p);h=Math.sqrt(f*f+d*d)}else h=n-Math.sqrt(f*f+p*p);this.data[a+l]=Math.max(0,Math.min(255,h+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;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?h:-h)+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<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=new e.Actor(i[a],n,this.id);o.name=\"Worker \"+a,this.actors.push(o)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(i,{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},(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),I=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),P=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)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=Math.max(i-r,a-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),f=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+i)/2*f),Math.floor((n+a)/2*f))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,I.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(i[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,I.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}(P),O=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)).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,I.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(P),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:P,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];f[g.featureIndex]||(f[g.featureIndex]=!0,h.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},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];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var 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e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),i=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(i)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var i=this._tiles[n];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),r[i.tileID.key]=i}for(var a in this._tiles=r,this._timers)clearTimeout(this._timers[a]),delete this._timers[a];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},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(Pt(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;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=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1)this._loadedParentTiles[o[a]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=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:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Pt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Pt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Yi.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}var Zt=function(t,e){this.reset(t,e)};Zt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Zt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function Qt(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,f)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,a).point,M={},A=ae(y,w,!1,l,r,a,o,e.glyphOffsetArray,p,h,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ae(y,w,!0,l,r,a,o,e.glyphOffsetArray,p,h,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,h)}else ce(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ne(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=se(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ie(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ae(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(i&&!n){var M=ie(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=$t(h,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,a),I=L.signedDistanceFromCamera>0?L.point:oe(h,C,S,1,a),P=ie(e.writingMode,S,I,d);if(P)return P}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,i){var a=$t(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function se(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.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)},Jt.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)},Jt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Jt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Jt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:i,seenUids:{box:{},circle:{}}},a),i?o.length>0:o},Jt.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=[];return this._forEachCell(a,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},i),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Jt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.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<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++)if(i.call(this,t,e,r,n,this.xCellCount*p+h,a,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Jt.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 le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var fe=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function he(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}fe.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},fe.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Zt,E=b.first,C=b.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,X=Y-k,Z=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,X,Z,J),w=w||this.isInsideGrid(W,X,Z,J),!e&&this.grid.hitTestCircle(G,Y,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},fe.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},fe.prototype.insertCollisionBox=function(t,e,r,n,i){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:i},t[0],t[1],t[2],t[3])},fe.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},fe.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return ue(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},fe.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},fe.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},fe.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,i){this.text=new pe(t?t.text:null,e,r,i),this.icon=new pe(t?t.icon:null,e,n,i)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function be(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new fe(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}_e.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=he(n,1,this.transform.zoom),g=Kt(f,h,p,this.transform,d),m=null;if(h){var v=Qt(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ve(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=xe(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.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,g=a.collisionGroup,m=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),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,i.markUsedOrientation(o,n=a,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=i.attemptAnchorPlacement(N[d%N.length],t,a,s,c,b,_,f,l,g,d>=N.length,e,o,n,u);if(m&&(h=m.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=m.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");I=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?be(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};A=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var Z=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(Z||J?J?Z||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new me);for(var $=0;$<I.circles.length;$+=4)Q.circles.push(I.circles[$+0]),Q.circles.push(I.circles[$+1]),Q.circles.push(I.circles[$+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,i){var a;a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=a>=0&&l!==a?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new de(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=i.opacities[g];r[g]?m=o:m||(i.opacities[g]=m=p),r[g]=!0;var v=a.numIconVertices>0,y=i.placedOrientations[a.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Ie:_),d(e.text,l,b?Ie:_);var w=m.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=i.variableOffsets[a.crossTileID];T&&i.markUsedJustification(e,T.anchor,a,y);var k=i.placedOrientations[a.crossTileID];k&&(i.markUsedJustification(e,\"left\",a,k),i.markUsedOrientation(e,k,a))}if(v){var M=Le(m.icon),A=!(h&&a.verticalPlacedIconSymbolIndex&&x);a.placedIconSymbolIndex>=0&&(d(e.icon,a.numIconVertices,A?M:Ie),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=m.icon.isHidden()),a.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,a.numVerticalIconVertices,A?Ie:M),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=i.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(f?i.transform.angle:-i.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var I=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,I,h?E.x:0,h?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!I,h?E.x:0,h?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(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*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Ie=0,Pe=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=[]};Pe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(a,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,i())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;)if(e.placeLayerBucketPart(a[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0;return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new _e(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Pe(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 Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1)delete this.usedCrossTileIDs[t][i[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i,a=t.styleSpec.$root[n];a.required&&null!=(i=\"version\"===n?r:\"array\"===a.type?[]:{})&&(e[n]=i)}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=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:g,stretchY:m,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;r<n.length;r+=1){var i=this._layers[n[r]];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=this._layers[u[c]];f.recalculate(e,this._availableImages),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)d.hasOwnProperty(o=f[i])?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)g[g.length-1-i]!==(o=h[h.length-1-i])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-i]]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in je)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Lt(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(Ne(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1)i.push(f[u])}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var h=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=i.length-1;g>=0;g--){var m=i[g].feature;if(n[m.layer.id]<p)break;h.push(m),i.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)h.push(_[b].feature)}}return h},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1)c.push(o[f[u]]);c.sort(B);for(var h=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1)o.push(f[u])}},p=0,d=c;p<d.length;p+=1)h();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=r[t[e].source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=a}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=this._layers[u[c]];if(\"symbol\"===f.type){if(!l[f.source]){var h=this.sourceCaches[f.source];l[f.source]=h.getRenderableIds(!0).map((function(t){return h.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Xe=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Ze=vr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"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);}\"),tr=vr(\"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);}\"),er=vr(\"#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);}\"),rr=vr(\"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;}\"),nr=vr(\"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;}\"),ir=vr(\"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);}\"),ar=vr(\"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;}\"),or=vr(\"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;}\"),sr=vr(\"#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;}\"),lr=vr(\"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;}\"),cr=vr(\"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);}\"),ur=vr(\"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);}\"),fr=vr(\"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;}\"),hr=vr(\"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);}\"),pr=vr(\"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;}\"),dr=vr(\"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=vr(\"#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);}\"),mr=vr(\"#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 vr(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 yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Xe,clippingMask:Ze,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ir,fillExtrusion:ar,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:fr,lineSDF:hr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===i&&this.boundVertexOffset===a&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind()):this.freshBind(e,r,n,i,a,o,s)},xr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/he(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,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=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=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}},Tr=function(e,r,n,i,a,o,s){return t.extend(wr(e,r,n,i),_r(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(kr(e),_r(n,r,i))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Er=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=he(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=he(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}},Lr=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}},Pr=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:he(e,1,r),u_intensity:n}},Or=function(e,r,n){var i=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/he(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,i){var a=e.transform,o=Br(r,a);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/he(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]]}},Fr=function(e,r,n,i,a){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(i.from,l),u=o.getDash(i.to,l),f=c.width*a.fromScale,h=u.width*a.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/f,-c.height/2],u_patternscale_b:[s/h,-u.height/2],u_sdfgamma:o.width/(256*Math.min(f,h)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:a.t})};function Br(t,e){return 1/he(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=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:Ur(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ur(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 Vr,qr=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}},Hr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(qr(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})},Gr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Hr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=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/he(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})},Xr={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 Zr(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;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){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,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),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 M=0,A=0,S=f;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,I,P,z,O,0),k.emplace(M++,I,P,z,O,1),k.emplace(M++,I,P,z,O,2),k.emplace(M++,I,P,z,O,3)}(!Vr||Vr.length<2*h)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function Qr(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:i[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=a.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(f){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var I=0;I<C.numGlyphs;I++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=i;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=a?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),I=a||E.sdfIcons,P=a?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(I,a,E),L),D=t.evaluateSizeForZoom(P,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===P.kind||\"camera\"===P.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=I||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=he(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,a,H,G,v,u);var X=e.translatePosMatrix(A.posMatrix,S,o,s),Z=y||a&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=I&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:I?E.iconsInText?Gr(P.kind,D,x,v,e,X,Z,J,R,F):Hr(P.kind,D,x,v,e,X,Z,J,a,R,!0):qr(P.kind,D,x,v,e,X,Z,J,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:I,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var it=nt[rt],at=it.state;if(p.activeTexture.set(d.TEXTURE0),at.atlasTexture.bind(at.atlasInterpolation,d.CLAMP_TO_EDGE),at.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),at.atlasTextureIcon&&at.atlasTextureIcon.bind(at.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),at.isSDF){var ot=at.uniformValues;at.hasHalo&&(ot.u_is_halo=1,en(at.buffers,it.segments,n,e,at.program,_,f,h,ot)),ot.u_is_halo=0}en(at.buffers,it.segments,n,e,at.program,_,f,h,at.uniformValues)}}function en(t,e,r,n,i,a,o,s,l){var c=n.context;i.draw(c,c.gl.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,h,g,f,m):wr(k,t,M,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,i,a,o,Et.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),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 ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),fn=new t.Color(1,0,1,1),hn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(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 mn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.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),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=Math.floor((f&&f.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+h+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=At.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;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=he(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Zr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Zr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,f,h,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(a,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,f,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],I=C.patternPositions[E.from.toString()];L&&I&&k.setConstantPatternPositions(L,I)}var P=f?Rr(e,w,n,p):c?Fr(e,w,n,c,p):h?Dr(e,w,n):Or(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,a,At.disabled,St.disabled),nn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,a,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,a,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof P?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof P?s.draw(i,a.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=At.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,i,t,c,{tileID:x,tileSize:l},m):Yr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1)this.style._layers[i[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,I.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Pr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Pr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++)if(this.style._layers[i[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=i;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=f[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,a[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[i[this.currentLayer]],_=a[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var T=this.style._layers[i[this.currentLayer]],k=a[T.source],M=(\"symbol\"===T.type?h:f)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,fn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,hn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},yn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:he(r,n[0],this.transform.zoom),a?n[1]:he(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.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},yn.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 br(this.context,yr[t],e,Xr[t],this._showOverdrawInspector)),this.cache[r]},yn.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()},yn.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)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.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 xn(a,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new bn(n,i)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=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};_n.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},_n.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)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=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 _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={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}};wn.prototype.clone=function(){var t=new wn(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},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.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))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.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())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.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())},Tn.zoom.get=function(){return this._zoom},Tn.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())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.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)},wn.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},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=xn.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 bn([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 g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===h||w>3+(1<<h-g.zoom)-2&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.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)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.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())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.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[1]/i,s=n[1]/a,l=r[2]/i,c=n[2]/a,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/i,n[0]/a,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.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])},wn.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)))},wn.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},wn.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])},wn.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]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.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)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(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}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),i=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),a=this.point,o=a.x,s=a.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*i+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,h=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*f+d*h,m=s-Math.round(s)+p*h+d*f,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.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},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,i,a;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,i=null,a=function(){i=null,n&&(r(),i=setTimeout(a,300),n=!1)},function(){return n=!0,i||a(),i})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function In(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Pn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Pn(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,In(s,l)}if(r.zoom){var c=Pn(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,In(s,c)}if(r.bearing){var u=Pn(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),In(s,u)}if(r.pitch){var f=Pn(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+f.amount,In(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),On=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1)r._add(i[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var i in this.touches){var a=n[i];(!a||a.dist(this.touches[i])>30)&&(this.aborted=!0)}}},jn.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 Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.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 Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.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},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Nn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(){this.reset()};function Zn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Xn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Xn.prototype._start=function(t){},Xn.prototype._move=function(t,e,r){return{}},Xn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Xn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[1],a=Zn(r,e,n[0]),o=Zn(r,e,i);if(a&&o){var s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}}},Xn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[1],o=Zn(n,e,i[0]),s=Zn(n,e,a);o&&s||(this._active&&r.suppressClick(),this.reset())}},Xn.prototype.touchcancel=function(){this.reset()},Xn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Xn.prototype.disable=function(){this._enabled=!1,this.reset()},Xn.prototype.isEnabled=function(){return this._enabled},Xn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Xn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Xn);function ti(t){return Math.abs(t.y)>Math.abs(t.x)}var ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,ti(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ti(t)&&ti(e)&&a}},e}(Xn),ri={panStep:100,bearingStep:15,pitchStep:10},ni=function(){var t=ri;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ii(t){return t*(2-t)}ni.prototype.reset=function(){this._active=!1},ni.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:ii,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})}}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ai=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)};ai.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ai.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ai.prototype.isEnabled=function(){return!!this._enabled},ai.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ai.prototype.isZooming=function(){return!!this._zooming},ai.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ai.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ai.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()}},ai.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ai.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())}},ai.prototype.renderFrame=function(){return this._onScrollFrame()},ai.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}}},ai.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},ai.prototype.reset=function(){this._active=!1};var oi=function(t,e){this._clickZoom=t,this._tapZoom=e};oi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var si=function(){this.reset()};si.prototype.reset=function(){this._active=!1},si.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})}}},si.prototype.enable=function(){this._enabled=!0},si.prototype.disable=function(){this._enabled=!1,this.reset()},si.prototype.isEnabled=function(){return this._enabled},si.prototype.isActive=function(){return this._active};var li=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};li.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},li.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))},li.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)},li.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)},li.prototype.touchcancel=function(){this.reset()},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ci.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ci.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ci.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ci.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ui=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ui.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ui.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ui.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ui.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var fi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};fi.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\")},fi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},fi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},fi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},fi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},fi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var hi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function di(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var gi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};gi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0];r.removeEventListener(a,i[1],a===t.window.document?this.handleWindowEvent:this.handleEvent,i[2])}},gi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var i=new Vn,a=new si;e.doubleClickZoom=new oi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new li;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ei;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ui(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),f=new Wn(t);e.dragPan=new ci(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new $n,p=new Kn;e.touchZoomRotate=new fi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ai(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new ni;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},gi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},gi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},gi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},gi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},gi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},gi.prototype.isMoving=function(){return Boolean(hi(this._eventsInProgress))||this.isZooming()},gi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},gi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},gi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r];this._el.contains(i.target)&&e.push(i)}return e},gi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||di(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||di(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},gi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},gi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},gi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!di(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},gi.prototype._fireEvents=function(e,r){var n=this,i=hi(this._eventsInProgress),a=hi(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,f={};for(var h in this._eventsInProgress){var p=this._eventsInProgress[h],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[h],f[h+\"end\"]=u=r[d]||g)}for(var m in f)this._fireEvent(m,f[m]);var v=hi(this._eventsInProgress);if((i||a)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},gi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},gi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var mi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=new t.Point(x.x+(i.padding.left-i.padding.right)/2,x.y+(i.padding.top-i.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));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),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),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 M=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),A=w/a.zoomScale(M-o);_=Math.sqrt(A/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 C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+_*t)},z=function(t){return w*((L(I)*(C(e=I+_*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},P=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(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),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),vi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};vi.prototype.getDefaultPosition=function(){return\"bottom-right\"},vi.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},vi.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},vi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},vi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},vi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},vi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var yi=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};yi.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},yi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},yi.prototype.getDefaultPosition=function(){return\"bottom-left\"},yi.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},yi.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}},yi.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 xi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},xi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var bi={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},_i=t.window.HTMLImageElement,wi=t.window.HTMLElement,Ti=t.window.ImageBitmap,ki={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Mi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},ki,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new wn(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 xi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},bi,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 wi))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 gi(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).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 vi({customAttribution:e.customAttribution})),this.addControl(new yi,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)).constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>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 zn(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 zn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new zn(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;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this)},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _i||Ti&&r instanceof Ti){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof _i||Ti&&r instanceof Ti?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;return void 0===a||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):a!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _i||Ti&&r instanceof Ti)),void this.style.updateImage(e,n))},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ai(this._canvasContainer),Ai(this._controlContainer),Ai(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(mi);function Ai(t){t.parentNode&&t.parentNode.removeChild(t)}var Si={showCompass:!0,showZoom:!0,visualizePitch:!1},Ei=function(e){var n=this;this.options=t.extend({},Si,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ei.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ei.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ei.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ci(this._map,this._compass,this.options.visualizePitch)),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ei.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ei.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ci=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Li(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ci.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ci.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)}},Ci.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()},Ci.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ci.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)},Ci.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ci.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ci.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))},Ci.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))},Ci.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ci.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ii={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Pi(t,e,r){var n=t.classList;for(var i in Ii)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var zi,Oi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Pi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Li(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ii[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Di={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ri=0,Fi=!1,Bi=function(e){function n(r){e.call(this),this.options=t.extend({},Di,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==zi?n(zi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(zi=\"denied\"!==t.state)})):n(zi=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ri=0,Fi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fi)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 Oi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oi({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){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(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\":Ri--,Fi=!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\"),++Ri>1?(e={maximumAge:6e5,timeout:0},Fi=!0):(e=this.options.positionOptions,Fi=!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),Ni={maxWidth:100,unit:\"metric\"},ji=function(e){this.options=t.extend({},Ni,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ui(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Vi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Vi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Vi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Vi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Vi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Vi(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)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},ji.prototype._onMove=function(){Ui(this._map,this._container,this.options)},ji.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},ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ji.prototype.setUnit=function(t){this.options.unit=t,Ui(this._map,this._container,this.options)};var qi=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\")};qi.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},qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qi.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)},qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qi.prototype._isFullscreen=function(){return this._fullscreen},qi.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())},qi.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 Hi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Gi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Hi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&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=Li(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var i=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),a=this.options.anchor,o=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(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,Ii[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Pi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Yi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Mi,NavigationControl:Ei,GeolocateControl:Bi,AttributionControl:vi,ScaleControl:ji,FullscreenControl:qi,Popup:Gi,Marker:Oi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),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 Yi})),r}))},{}],474:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\"convex-hull\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\"convex-hull\":135}],475:[function(t,e,r){var n=t(\"./normalize\"),i=t(\"gl-mat4/create\"),a=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],I=u[15];if(0!==M||0!==A||0!==S){if(h[0]=M,h[1]=A,h[2]=S,h[3]=I,!s(f,f))return!1;l(f,f),y=m,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var P=0;P<3;P++)r[P]*=-1,p[P][0]*=-1,p[P][1]*=-1,p[P][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":476,\"gl-mat4/clone\":278,\"gl-mat4/create\":280,\"gl-mat4/determinant\":281,\"gl-mat4/invert\":293,\"gl-mat4/transpose\":306,\"gl-vec3/cross\":365,\"gl-vec3/dot\":370,\"gl-vec3/length\":380,\"gl-vec3/normalize\":387}],476:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],477:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),i=t(\"mat4-recompose\"),a=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function h(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,f){if(0===o(e)||0===o(r))return!1;var h=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!h||!p)&&(n(u.translate,l.translate,c.translate,f),n(u.skew,l.skew,c.skew,f),n(u.scale,l.scale,c.scale,f),n(u.perspective,l.perspective,c.perspective,f),s(u.quaternion,l.quaternion,c.quaternion,f),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":281,\"gl-vec3/lerp\":381,\"mat4-decompose\":475,\"mat4-recompose\":478,\"quat-slerp\":527}],478:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\"gl-mat4/create\":280,\"gl-mat4/fromRotationTranslation\":284,\"gl-mat4/identity\":291,\"gl-mat4/multiply\":295,\"gl-mat4/scale\":303,\"gl-mat4/translate\":305}],479:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],480:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"mat4-interpolate\"),a=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),f=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),h=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],h=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)h[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&h[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=h[c];else i(o,h,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],f(g,g);var m=this.computedInverse;a(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var 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\"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",a.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var f=function(t){if(i(t))return\"buffer\";if(a)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),h=c[f];h.length<=o+1;)h.push(l(f,h.length-1));return(0,h[o+1])(t,e,r,n)}},{\"iota-array\":463,\"is-buffer\":465}],496:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),i=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-i:i;var r=n.hi(t),a=n.lo(t);e>t==t>0?a===-1>>>0?(r+=1,a=0):a+=1:0===a?(a=-1>>>0,r-=1):a-=1;return n.pack(a,r)}},{\"double-bits\":173}],497:[function(t,e,r){var n=Math.PI,i=c(120);function a(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,i,a){return[\"C\",t/3+2/3*r,e/3+2/3*n,i/3+2/3*r,a/3+2/3*n,i,a]}function 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h=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=h[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>a){var b=i[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=i[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>a)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return i},r.faceNormals=function(t,e,r){for(var n=t.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),f=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],f[c]=l[2][c]-l[0][c];var h=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;h[c]=u[d]*f[g]-u[g]*f[d],p+=h[c]*h[c]}p=p>a?1/Math.sqrt(p):0;for(c=0;c<3;++c)h[c]*=p;i[o]=h}return i}},{}],499:[function(t,e,r){\n",
       "/*\n",
       "object-assign\n",
       "(c) Sindre Sorhus\n",
       "@license MIT\n",
       "*/\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
       "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":70,\"color-normalize\":125,\"flatten-vertex-data\":244,\"object-assign\":499,\"pick-by-alias\":511,\"to-float32\":577,\"update-diff\":599}],535:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function m(t,e){if(!(this instanceof m))return new m(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=m.shaders.has(t)?m.shaders.get(t):m.shaders.set(t,m.createShaders(t)).get(t),this.update(e)}e.exports=m,m.dashMult=2,m.maxPatternLength=256,m.precisionThreshold=3e6,m.maxPoints=1e4,m.maxLines=2048,m.shaders=new d,m.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<m.maxLines&&(d.depth=2*(m.maxLines-1-f%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=i(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var I=c(T,d.hole||[]),P=0,z=I.length;P<z;P++)null!=k[I[P]]&&(I[P]=k[I[P]]);d.triangles=I}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(h(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var X=0,Z=t.dashes[W]*m.dashMult*.5;X<Z;++X)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:536,\"object-assign\":499,\"parse-rect\":504,\"pick-by-alias\":511,\"to-float32\":577}],536:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],537:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{n||null==s.return||s.return()}finally{if(i)throw a}}return r}(t,e)||a(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||a(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),f=t(\"object-assign\"),h=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),f(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=f({},o);s.frag=h([\"precision 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fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new 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t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}return i({data:v.float(t),usage:\"dynamic\"}),a({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,I=C.color,P=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(I.length||P.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=I[O];E[8*O]=h[4*D],E[8*O+1]=h[4*D+1],E[8*O+2]=h[4*D+2],E[8*O+3]=h[4*D+3];var R=P[O];E[8*O+4]=h[4*R],E[8*O+5]=h[4*R+1],E[8*O+6]=h[4*R+2],E[8*O+7]=h[4*R+3]}}}else if(I.length||P.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=I[F]&&(E[4*F]=I[F]%c,E[4*F+1]=Math.floor(I[F]/c)),null!=P[F]&&(E[4*F+2]=P[F]%c,E[4*F+3]=Math.floor(P[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":57,\"array-bounds\":70,\"color-id\":123,\"color-normalize\":125,\"flatten-vertex-data\":244,glslify:538,\"is-iexplorer\":466,\"object-assign\":499,\"parse-rect\":504,\"pick-by-alias\":511,\"to-float32\":577,\"update-diff\":599}],538:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],539:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var 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u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var M=f(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:A.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},A.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),C=E[0],L=E[1],I=E[2],P=E[3];A.viewport=[x+C*v+S[0],b+L*y+S[1],x+I*v-S[2],b+P*y-S[3]]}else A.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(A.color=s.color),o.size&&(A.size=s.size),o.marker&&(A.marker=s.marker),o.borderSize&&(A.borderSize=s.borderSize),o.borderColor&&(A.borderColor=s.borderColor),o.opacity&&(A.opacity=s.opacity),o.range&&(A.range=n?h(s.range,T,k):s.range||A.bounds),s.passes.push(M)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},{\"array-bounds\":70,\"array-range\":72,\"flatten-vertex-data\":244,\"parse-rect\":504,\"pick-by-alias\":511,raf:528,\"regl-scatter2d\":537}],540:[function(t,e,r){!function(t,n){\"object\"==typeof r&&\"undefined\"!=typeof e?e.exports=n():t.createREGL=n()}(this,(function(){function t(t,e){this.id=V++,this.type=t,this.data=e}function e(t){return\"[\"+function t(e){if(0===e.length)return[];var r=e.charAt(0),n=e.charAt(e.length-1);if(1<e.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+e.substr(1,e.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(e))return 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r,n=parseInt(e);if(isNaN(n))\"\\u95f0\"===e[0]&&(r=!0,e=e.substring(1)),\"\\u6708\"===e[e.length-1]&&(e=e.substring(0,e.length-1)),n=1+[\"\\u4e00\",\"\\u4e8c\",\"\\u4e09\",\"\\u56db\",\"\\u4e94\",\"\\u516d\",\"\\u4e03\",\"\\u516b\",\"\\u4e5d\",\"\\u5341\",\"\\u5341\\u4e00\",\"\\u5341\\u4e8c\"].indexOf(e);else{var i=e[e.length-1];r=\"i\"===i||\"I\"===i}return this.toMonthIndex(t,n,r)},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}},_validateYear:function(t,e){if(t.year&&(t=t.year()),\"number\"!=typeof t||t<1888||t>2111)throw e.replace(/\\{0\\}/,this.local.name);return t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),f[t-f[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=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 r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a=i||{}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=f[o.year-f[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++){s+=u&1<<12-d?30:29}var g=h[o.year-h[0]],m=new Date(g>>9&4095,(g>>5&15)-1,(31&g)+s);return a.year=m.getFullYear(),a.month=1+m.getMonth(),a.day=m.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a=n||{}}var o=h[i.year-h[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=h[a.year-h[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=f[a.year-f[0]];for(p=0;p<13;p++){var g=d&1<<12-p?30:29;if(l<g)break;l-=g}var m=d>>13;!m||p<m?(a.isIntercalary=!1,a.month=1+p):p===m?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p);return 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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:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},{\"../main\":621,\"object-assign\":499}],609:[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:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":621,\"object-assign\":499}],610:[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\":621,\"object-assign\":499}],611:[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<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":621,\"object-assign\":499}],612:[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:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":621,\"object-assign\":499}],613:[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:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":621,\"object-assign\":499}],614:[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)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((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\":621,\"object-assign\":499}],615:[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<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":621,\"object-assign\":499}],616:[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 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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;r<t+2;r++)\"undefined\"==typeof 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);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\":621,\"object-assign\":499}],619:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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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\":621,\"object-assign\":499}],620:[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;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=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(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":778,\"../../plot_api/plot_template\":816,\"../../registry\":910}],629:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":778,\"../color\":643}],630:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":804,\"fast-isnumeric\":241}],631:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/cartesian/axes\":827,\"./attributes\":626,\"./common_defaults\":629}],632:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var M=g(t.layout,_,e),A=M.modifyBase,S=M.modifyItem,E=M.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var C=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var L={x:{},y:{}},I=+e.textangle||0,P=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),z=P.append(\"g\").classed(\"annotation-text-g\",!0),O=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||O,R=z.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+C).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",C).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&A(v._name+\".autorange\",!0),x&&x.autorange&&A(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+C).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,M=e.width||b,D=e.height||_,B=Math.round(M+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(I+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=L[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*H($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(M-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?C:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?C:null,t)}V.select(\"rect\").call(u.setRect,N,N,M,D),j.call(u.setRect,F/2,F/2,B-F,q-F),R.call(u.setTranslate,Math.round(L.x.text-B/2),Math.round(L.y.text-q/2)),z.attr({transform:\"rotate(\"+I+\",\"+L.x.text+\",\"+L.y.text+\")\"});var kt,Mt=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=L.x.head,f=L.y.head,h=L.x.tail+r,p=L.y.tail+n,g=L.x.text+r,b=L.y.text+n,_=o.rotationXYMatrix(I,g,b),w=o.apply2DTransform(_),M=o.apply2DTransform2(_),C=+j.attr(\"width\"),O=+j.attr(\"height\"),D=g-.5*C,F=D+C,B=b-.5*O,N=B+O,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(M);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(m(Y,H,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var 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n=t(\"../annotations/attributes\"),i=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../plot_api/plot_template\").templatedArray;e.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":809,\"../../plot_api/plot_template\":816,\"../annotations/attributes\":626}],636:[function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/cartesian/axes\":827,\"../annotations/common_defaults\":629,\"./attributes\":635}],638:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,i=t(\"../../plots/gl3d/project\"),a=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var 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If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)c(t,e,r[i]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:h,worldCalFmt:function(t,e,r){for(var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../../plot_api/plot_template\":816,\"../../plots/animation_attributes\":821,\"../../plots/font_attributes\":855,\"../../plots/pad_attributes\":889,\"./constants\":734}],734:[function(t,e,r){\"use 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T={y:e.y,b:u.height*g[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*g[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*g[b]),i.autoMargin(t,m(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var g=c.lineCount(l),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*p;return 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w=e._anchorAxis;w&&w.autorange&&-1!==(e.ticklabelposition||\"\").indexOf(\"inside\")&&!V(a,e._id)&&(a._insideTickLabelsAutorange||(a._insideTickLabelsAutorange={}),a._insideTickLabelsAutorange[w._name+\".autorange\"]=w.autorange,_.push((function(){v.each((function(t,r){var n=dt(this);e._vals[r].bb=h.bBox(n.node())}))})));var T=s.syncOrAsync(_);return T&&T.then&&t._promises.push(T),T},B.getPxPosition=function(t,e){var r,n=t._fullLayout._size,i=e._id.charAt(0),a=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===i?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===i&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===a||\"left\"===a?r._offset:\"bottom\"===a||\"right\"===a?r._offset+r._length:void 0},B.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===P)&&(pt(e,0)||!function(t,e,r,n){var i=r._mainAxis;if(!i)return;var 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r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":833,\"has-passive-events\":441,\"mouse-change\":483,\"mouse-event-offset\":484,\"mouse-wheel\":486}],866:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":801,\"../cartesian/axes\":827}],867:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../plot_api/edit_types\":809,\"../cartesian\":840,\"../cartesian/attributes\":825,\"../cartesian/constants\":833,\"../get_data\":864,\"../layout_attributes\":881,\"./scene2d\":868}],868:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},M.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":661,\"../../components/fx\":683,\"../../lib/show_no_webgl_msg\":799,\"../../plots/cartesian/axes\":827,\"../../registry\":910,\"../cartesian/autorange\":826,\"../cartesian/constants\":833,\"../cartesian/constraints\":834,\"./camera\":865,\"./convert\":866,\"gl-plot2d\":317,\"gl-select-box\":333,\"gl-spikes2d\":342,\"webgl-context\":606}],869:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../lib\":778,\"../../plot_api/edit_types\":809,\"../get_data\":864,\"./layout/attributes\":870,\"./layout/defaults\":874,\"./layout/layout_attributes\":875,\"./scene\":879}],870:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],871:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":643,\"../../../lib/extend\":768,\"../../../plot_api/edit_types\":809,\"../../cartesian/layout_attributes\":841}],872:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":778,\"../../../plot_api/plot_template\":816,\"../../cartesian/axis_defaults\":829,\"../../cartesian/type_defaults\":852,\"./axis_attributes\":871,tinycolor2:576}],873:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":778,\"../../../lib/str2rgbarray\":801}],874:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":643,\"../../../lib\":778,\"../../../registry\":910,\"../../get_data\":864,\"../../subplot_defaults\":904,\"./axis_defaults\":872,\"./layout_attributes\":875}],875:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}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\":778,\"../../../lib/extend\":768,\"../../domain\":854,\"./axis_attributes\":871}],876:[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\":801}],877:[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<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=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;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":778,\"../../cartesian/axes\":827}],878:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],879:[function(t,e,r){\"use strict\";var n,i,a=t(\"gl-plot3d\"),o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T)e=!1;else try{f.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(r){b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,e=!1}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!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),x(e),e.glplot.axes.update(e.axesOptions);for(var c,u=Object.keys(e.traces),d=null,g=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(g)&&(d=t),t.setContourLevels&&t.setContourLevels();function y(t,r){var n=e.fullSceneLayout[t];return h.tickText(n,n.d2l(r),\"hover\").text}if(null!==d){var b=m(e.glplot.cameraParams,g.dataCoordinate);t=d.data;var _,w=r._fullData[t.index],T=g.index,k={xLabel:y(\"xaxis\",g.traceCoordinate[0]),yLabel:y(\"yaxis\",g.traceCoordinate[1]),zLabel:y(\"zaxis\",g.traceCoordinate[2])},M=p.castHoverinfo(w,e.fullLayout,T),A=(M||\"\").split(\"+\"),S=M&&\"all\"===M;w.hovertemplate||S||(-1===A.indexOf(\"x\")&&(k.xLabel=void 0),-1===A.indexOf(\"y\")&&(k.yLabel=void 0),-1===A.indexOf(\"z\")&&(k.zLabel=void 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C={x:g.traceCoordinate[0],y:g.traceCoordinate[1],z:g.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};p.appendArrayPointValue(C,w,T),t._module.eventData&&(C=w._module.eventData(C,g,w,{},T));var L={points:[C]};e.fullSceneLayout.hovermode&&p.loneHover({trace:w,x:(.5+.5*b[0]/b[3])*s,y:(.5-.5*b[1]/b[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:d.name,color:p.castHoverOption(w,T,\"bgcolor\")||d.color,borderColor:p.castHoverOption(w,T,\"bordercolor\"),fontFamily:p.castHoverOption(w,T,\"font.family\"),fontSize:p.castHoverOption(w,T,\"font.size\"),fontColor:p.castHoverOption(w,T,\"font.color\"),nameLength:p.castHoverOption(w,T,\"namelength\"),textAlign:p.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},C,k),eventData:[C]},{container:n,gd:r}),g.buttons&&g.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),c=L}else 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n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&M(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-A),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var C=m[1][a]-m[0][a];m[0][a]-=C/32,m[1][a]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][a];m[0][a]=m[1][a],m[1][a]=L}}else{var I=s.range;m[0][a]=s.r2l(I[0]),m[1][a]=s.r2l(I[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var P=c.aspectmode;if(\"cube\"===P)g=[1,1,1];else if(\"manual\"===P){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==P&&\"data\"!==P)throw new Error(\"scene.js aspectRatio was not one 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r=t.visible;return\"undefined\"==typeof r||!0===r})),d=!1,g=p.map((function(t,e){return d=d||\"undefined\"!=typeof t.groupId,t}));if(d){var m=n.nest().key((function(t,e){return\"undefined\"!=typeof t.groupId?t.groupId:\"unstacked\"})).entries(g),v=[],y=m.map((function(t,e){if(\"unstacked\"===t.key)return t.values;var r=t.values[0].r.map((function(t,e){return 0}));return t.values.forEach((function(t,e,n){t.yStack=[r],v.push(r),r=o.util.sumArrays(t.r,r)})),t.values}));p=n.merge(y)}p.forEach((function(t,e){t.t=Array.isArray(t.t[0])?t.t:[t.t],t.r=Array.isArray(t.r[0])?t.r:[t.r]}));var x=Math.min(h.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2;x=Math.max(10,x);var b,_=[h.margin.left+x,h.margin.top+x];d?b=[0,n.max(o.util.sumArrays(o.util.arrayLast(p).r[0],o.util.arrayLast(v)))]:b=n.extent(o.util.flattenArray(p.map((function(t,e){return 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P=n.range.apply(this,C);if(P=P.map((function(t,e){return parseFloat(t.toPrecision(12))})),s=n.scale.linear().domain(C.slice(0,2)).range(\"clockwise\"===h.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=A?E:0,\"undefined\"==typeof(t=n.select(this).select(\"svg.chart-root\"))||t.empty()){var z=(new DOMParser).parseFromString(\"<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + '</svg>\",\"application/xml\"),O=this.appendChild(this.ownerDocument.importNode(z.documentElement,!0));t=n.select(O)}t.select(\".guides-group\").style({\"pointer-events\":\"none\"}),t.select(\".angular.axis-group\").style({\"pointer-events\":\"none\"}),t.select(\".radial.axis-group\").style({\"pointer-events\":\"none\"});var D,R=t.select(\".chart-group\"),F={fill:\"none\",stroke:h.tickColor},B={\"font-size\":h.font.size,\"font-family\":h.font.family,fill:h.font.color,\"text-shadow\":[\"-1px 0px\",\"1px -1px\",\"-1px 1px\",\"1px 1px\"].map((function(t,e){return\" \"+t+\" 0 \"+h.font.outlineColor})).join(\",\")};if(h.showLegend){D=t.select(\".legend-group\").attr({transform:\"translate(\"+[x,h.margin.top]+\")\"}).style({display:\"block\"});var N=p.map((function(t,e){var r=o.util.cloneJson(t);return r.symbol=\"DotPlot\"===t.geometry?t.dotType||\"circle\":\"LinePlot\"!=t.geometry?\"square\":\"line\",r.visibleInLegend=\"undefined\"==typeof 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U=[(h.width-(h.margin.left+h.margin.right+2*x+(j?j.width:0)))/2,(h.height-(h.margin.top+h.margin.bottom+2*x))/2];if(U[0]=Math.max(0,U[0]),U[1]=Math.max(0,U[1]),t.select(\".outer-group\").attr(\"transform\",\"translate(\"+U+\")\"),h.title&&h.title.text){var V=t.select(\"g.title-group text\").style(B).text(h.title.text),q=V.node().getBBox();V.attr({x:_[0]-q.width/2,y:_[1]-x-20})}var H=t.select(\".radial.axis-group\");if(h.radialAxis.gridLinesVisible){var G=H.selectAll(\"circle.grid-circle\").data(r.ticks(5));G.enter().append(\"circle\").attr({class:\"grid-circle\"}).style(F),G.attr(\"r\",r),G.exit().remove()}H.select(\"circle.outside-circle\").attr({r:x}).style(F);var Y=t.select(\"circle.background-circle\").attr({r:x}).style({fill:h.backgroundColor,stroke:h.stroke});function W(t,e){return s(t)%360+h.orientation}if(h.radialAxis.visible){var 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i=o.util.convertToCartesian(x+12,r+180);lt.text(o.util.round(it)).move([i[0]+_[0],i[1]+_[1]])})).on(\"mouseout.angular-guide\",(function(t,e){ot.select(\"line\").style({opacity:0})}))}var ht=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",(function(t,e){var n=o.util.getMousePos(Y).radius;ht.attr({r:n}).style({opacity:.5}),at=r.invert(o.util.getMousePos(Y).radius);var i=o.util.convertToCartesian(n,h.radialAxis.orientation);ct.text(o.util.round(at)).move([i[0]+_[0],i[1]+_[1]])})).on(\"mouseout.radial-guide\",(function(t,e){ht.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()})),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",(function(e,r){var i=n.select(this),a=this.style.fill,s=\"black\",l=this.style.opacity||1;if(i.attr({\"data-opacity\":l}),a&&\"none\"!==a){i.attr({\"data-fill\":a}),s=n.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};k&&(c.t=w[e[0]]);var u=\"t: 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o=n.hsl(a.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",f=i||\"\";e.style({fill:u,\"font-size\":a.fontSize+\"px\"}).text(f);var h=a.padding,p=e.node().getBBox(),d={fill:a.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*h+l,m=p.height+2*h;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[a.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*h]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return i(a,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var 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s=i({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof 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e,r,n,i,a=t[0],o=t[1]-a,s=L(a,360),l=s+o,c=Math.cos(I(s)),u=Math.sin(I(s)),f=Math.cos(I(l)),h=Math.sin(I(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(g=f*T))/n.h/2,m=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(g=h,y=(f-(d=h/T))/n.w/2,m=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=g,this.xDomain2=m,this.yDomain2=v;var 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e=m(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+u*r,p-u*n]+\"L\"+[f+a*r,p-a*n]},transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:w,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return v(m(t))},labelFns:x})}F(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},O.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},O.updateMainDrag=function(t){var e,r,s=this,c=s.gd,u=s.layers,f=t._zoomlayer,h=S.MINZOOM,p=S.OFFEDGE,d=s.radius,g=s.innerRadius,x=s.cx,T=s.cy,k=s.cxx,M=s.cyy,A=s.sectorInRad,C=s.vangles,L=s.radialAxis,I=E.clampTiny,P=E.findXYatLength,z=E.findEnclosingVertexAngles,O=S.cornerHalfWidth,D=S.cornerLen/2,R=m.makeDragger(u,\"path\",\"maindrag\",\"crosshair\");n.select(R).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(x,T));var F,B,N,j,U,V,q,H,G,Y={element:R,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-k,e-M)}function Z(t,e){return Math.atan2(M-e,t-k)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*O);var r=D/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,d)),o=a-O,l=a+O;return\"M\"+J(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+J(o,i)+\"L\"+J(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+J(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*O);var n,i,a=J(t,e),o=J(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=P(O,u,l,c);n=P(D,f,h[0][0],h[0][1]),i=P(D,f,h[1][0],h[1][1])}else{var p,d;c?(p=D,d=O):(p=O,d=D),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 $(t,e){return e=Math.max(Math.min(e,d),g),t<p?t=0:d-t<p?t=d:e<p?e=0:d-e<p&&(e=d),Math.abs(e-t)>h?(t<e?(N=t,j=e):(N=e,j=t),!0):(N=null,j=null,!1)}function tt(t,e){t=t||U,e=e||\"M0,0Z\",H.attr(\"d\",t),G.attr(\"d\",e),m.transitionZoombox(H,G,V,q),V=!0;var r={};at(r),c.emit(\"plotly_relayouting\",r)}function et(t,n){var i,a,o=F+(t*=e),l=B+(n*=r),c=X(F,B),u=Math.min(X(o,l),d),f=Z(F,B);$(c,u)&&(i=U+s.pathSector(j),N&&(i+=s.pathSector(N)),a=K(N,f)+K(j,f)),tt(i,a)}function rt(t,e,r,n){var i=E.findIntersectionXY(r,n,r,[t-k,M-e]);return W(i[0],i[1])}function nt(t,e){var r,n,i=F+t,a=B+e,o=Z(F,B),l=Z(i,a),c=z(o,C),u=z(l,C);$(rt(F,B,c[0],c[1]),Math.min(rt(i,a,u[0],u[1]),d))&&(r=U+s.pathSector(j),N&&(r+=s.pathSector(N)),n=[Q(N,c[0],c[1]),Q(j,c[0],c[1])].join(\" \")),tt(r,n)}function it(){if(m.removeZoombox(c),null!==N&&null!==j){var t={};at(t),m.showDoubleClickNotifier(c),a.call(\"_guiRelayout\",c,t)}}function at(t){var e=L._rl,r=(e[1]-e[0])/(1-g/d)/d,n=[e[0]+(N-g)*r,e[0]+(j-g)*r];t[s.id+\".radialaxis.range\"]=n}function ot(t,e){var r=c._fullLayout.clickmode;if(m.removeZoombox(c),2===t){var n={};for(var i in s.viewInitial)n[s.id+\".\"+i]=s.viewInitial[i];c.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",c,n)}r.indexOf(\"select\")>-1&&1===t&&_(e,c,[s.xaxis],[s.yaxis],s.id,Y),r.indexOf(\"event\")>-1&&y.click(c,e,s.id)}Y.prepFn=function(t,n,a){var l=c._fullLayout.dragmode,u=R.getBoundingClientRect();c._fullLayout._calcInverseTransform(c);var h=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var p=o.apply3DTransform(h)(n-u.left,a-u.top);if(F=p[0],B=p[1],C){var g=E.findPolygonOffset(d,A[0],A[1],C);F+=k+g[0],B+=M+g[1]}switch(l){case\"zoom\":Y.moveFn=C?nt:et,Y.clickFn=ot,Y.doneFn=it,function(){N=null,j=null,U=s.pathSubplot(),V=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(H=m.makeZoombox(f,q,x,T,U)).attr(\"fill-rule\",\"evenodd\"),G=m.makeCorners(f,x,T),w(c)}();break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},R.onmousemove=function(t){y.hover(c,t,s.id),c._fullLayout._lasthover=R,c._fullLayout._hoversubplot=s.id},R.onmouseout=function(t){c._dragging||v.unhover(c,t)},v.init(Y)},O.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,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,A=I(i.radialAxisAngle),E=g._rl,C=E[0],L=E[1],z=E[r],O=.75*(E[1]-E[0])/(1-e.hole)/f;r?(b=p+(f+x)*Math.cos(A),_=d-(f+x)*Math.sin(A),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(A),_=d-(h-x)*Math.sin(A),T=\"radialdrag-inner\");var D,B,N,j=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),U={element:j,gd:c};F(n.select(j),g.visible&&h<f,{transform:l(b,_)}),U.prepFn=function(){D=null,B=null,N=null,U.moveFn=V,U.doneFn=q,w(c)},U.clampFn=function(t,e){return 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v=e.gd._fullLayout,y=v[e.id],x=_(A+c*t._invScaleX,E+m*t._invScaleY),b=P(x-z);if(L=C+b,i.frontplot.attr(\"transform\",l(e.xOffset2,e.yOffset2)+s([-b,d,g])),e.vangles){I=e.radialAxisAngle+b;var w=l(h,p)+s(-b),T=l(h,p)+s(-I);i.bg.attr(\"transform\",w),i[\"radial-grid\"].attr(\"transform\",w),i[\"radial-axis\"].attr(\"transform\",T),i[\"radial-line\"].select(\"line\").attr(\"transform\",T),e.updateRadialAxisTitle(v,y,I)}else e.clipPaths.forTraces.select(\"path\").attr(\"transform\",l(d,g)+s(b));D.each((function(){var t=n.select(this),e=u.getTranslate(t);t.attr(\"transform\",l(e.x,e.y)+s([b]))})),R.each((function(){var t=n.select(this),e=t.select(\"text\"),r=u.getTranslate(t);t.attr(\"transform\",s([b,e.attr(\"x\"),e.attr(\"y\")])+l(r.x,r.y))})),f.rotation=o.modHalf(L,360),e.updateAngularAxis(v,y),e._hasClipOnAxisFalse&&!o.isFullCircle(e.sectorInRad)&&O.call(u.hideOutsideRangePoints,e);var S=!1;for(var F in e.traceHash)if(a.traceIs(F,\"gl\")){var 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x={};x[h]=[v/d,(v+1)/d],a(l,e,m,x),o.id=y,f(s,l,m,o)}}},{\"../lib\":778,\"../plot_api/plot_template\":816,\"./domain\":854}],905:[function(t,e,r){\"use strict\";['Variables are inserted using %{variable}, for example \"y: %{y}\".','Numbers are formatted using d3-format\\'s syntax %{variable:d3-format}, for example \"Price: %{y:$.2f}\".',t(\"../constants/docs\").FORMAT_LINK,\"for details on the formatting syntax.\",'Dates are formatted using d3-time-format\\'s syntax %{variable|d3-time-format}, for example \"Day: %{2019-01-01|%A}\".',t(\"../constants/docs\").DATE_FORMAT_LINK,\"for details on the date formatting syntax.\"].join(\" \");function n(t){var e=t.description?\" \"+t.description:\"\",r=t.keys||[];if(r.length>0){for(var n=[],i=0;i<r.length;i++)n[i]=\"`\"+r[i]+\"`\";e+=\"Finally, the template string has access to \",e=1===r.length?\"variable \"+n[0]:\"variables \"+n.slice(0,-1).join(\", \")+\" and \"+n.slice(-1)+\".\"}return e}r.hovertemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"none\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"calc\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{\"../constants/docs\":748}],906:[function(t,e,r){\"use strict\";var n=t(\"./ternary\"),i=t(\"../../plots/get_data\").getSubplotCalcData,a=t(\"../../lib\").counterRegex;r.name=\"ternary\";var o=r.attr=\"subplot\";r.idRoot=\"ternary\",r.idRegex=r.attrRegex=a(\"ternary\"),(r.attributes={})[o]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots.ternary,o=0;o<a.length;o++){var s=a[o],l=i(r,\"ternary\",s),c=e[s]._subplot;c||(c=new 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":642,\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../cartesian/layout_attributes\":841,\"../domain\":854}],908:[function(t,e,r){\"use 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n=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,p=t(\"../plots\"),d=t(\"../cartesian/axes\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/dragelement/helpers\"),y=v.freeMode,x=v.rectMode,b=t(\"../../components/titles\"),_=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,T=t(\"../cartesian/select\").clearSelect,k=t(\"../cartesian/select\").clearSelectionsCache,M=t(\"../cartesian/constants\");function A(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=A;var S=A.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;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below 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E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-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:[g-o/2,g+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:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var 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z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-A._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var 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n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../bar/hover\").getTraceColor,o=i.fillText,s=t(\"../scatterpolar/hover\").makeHoverPointText,l=t(\"../../plots/polar/helpers\").isPtInsidePolygon;e.exports=function(t,e,r){var c=t.cd,u=c[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,g=d?l:i.isPtInsideSector,m=t.maxHoverDistance,v=p._period||2*Math.PI,y=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);h.range[0]>h.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return g(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?m+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,f,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 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n=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c(\"labels\"),f=c(\"values\"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),m=c(\"texttemplate\");if(m||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),m||d&&\"none\"!==d){var v=c(\"textposition\");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1167}],1061:[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(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":778,\"./layout_attributes\":1060}],1062:[function(t,e,r){\"use strict\";var 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0===d._deltaLastValue&&(d._deltaLastValue=a(r[0]));var l=C.select(\"text.delta\");function p(){l.text(o(a(r[0]),i)).call(m.fill,s(r[0])).call(f.convertToTspans,t)}return l.call(c.font,d.delta.font).call(m.fill,s({delta:d._deltaLastValue})),b(S)?l.transition().duration(S.duration).ease(S.easing).tween(\"text\",(function(){var t=n.select(this),e=a(r[0]),l=d._deltaLastValue,c=P(d.delta.valueformat,i,l,e),u=n.interpolateNumber(l,e);return d._deltaLastValue=e,function(e){t.text(o(u(e),c)),t.call(m.fill,s({delta:u(e)}))}})).each(\"end\",(function(){p(),E&&E()})).each(\"interrupt\",(function(){p(),E&&E()})):p(),u=k(o(a(r[0]),i),d.delta.font,A,t),l}(),O+=d.delta.position+d.delta.font.size+d.delta.font.family+d.delta.valueformat,O+=d.delta.increasing.symbol+d.delta.decreasing.symbol,p=u);d._hasNumber&&(!function(){var e=w(t,{tickformat:d.number.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=d.number.suffix,o=d.number.prefix,s=C.select(\"text.number\");function u(){var e=\"number\"==typeof r[0].y?o+i(r[0].y)+a:\"-\";s.text(e).call(c.font,d.number.font).call(f.convertToTspans,t)}b(S)?s.transition().duration(S.duration).ease(S.easing).each(\"end\",(function(){u(),E&&E()})).each(\"interrupt\",(function(){u(),E&&E()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);d._lastValue=r[0].y;var s=P(d.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(o+s(e(r))+a)}})):u(),l=k(o+i(r[0].y)+a,d.number.font,A,t)}(),O+=d.number.font.size+d.number.font.family+d.number.valueformat+d.number.suffix+d.number.prefix,p=l);if(d._hasDelta&&d._hasNumber){var D,R,F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=.75*d.delta.font.size;\"left\"===d.delta.position&&(D=M(d,\"deltaPos\",0,-1*(l.width*y[d.align]+u.width*(1-y[d.align])+N),O,Math.min),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:u.left+D,right:l.right,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"right\"===d.delta.position&&(D=M(d,\"deltaPos\",0,l.width*(1-y[d.align])+u.width*y[d.align]+N,O,Math.max),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:l.left,right:u.right+D,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"bottom\"===d.delta.position&&(D=null,R=u.height,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height,bottom:l.bottom+u.height}),\"top\"===d.delta.position&&(D=null,R=l.top,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height-u.height,bottom:l.bottom}),z.attr({dx:D,dy:R})}(d._hasNumber||d._hasDelta)&&C.attr(\"transform\",(function(){var t=s.numbersScaler(p);O+=t[2];var e,r=M(d,\"numbersScale\",1,t[0],O,Math.min);d._scaleNumbers||(r=1),e=d._isAngular?_-r*p.bottom:_-r*(p.top+p.bottom)/2,d._numbersTop=r*p.top+e;var n=p[T];\"center\"===T&&(n=(p.left+p.right)/2);var i=g-r*n;return i=M(d,\"numbersTranslate\",0,i,O,Math.max),o(i,e)+a(r)}))}(t,I,e,{numbersX:p,numbersY:A,numbersScaler:S,transitionOpts:r,onComplete:d}),P&&(E={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},C={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var H=I.selectAll(\"g.angular\").data(z?e:[]);H.exit().remove();var G=I.selectAll(\"g.angularaxis\").data(z?e:[]);G.exit().remove(),z&&function(t,e,r,i){var a,c,u,f,p=r[0].trace,d=i.size,g=i.radius,m=i.innerRadius,v=i.gaugeBg,y=i.gaugeOutline,x=[d.l+d.w/2,d.t+d.h/2+g/2],T=i.gauge,k=i.layer,M=i.transitionOpts,A=i.onComplete,S=Math.PI/2;function E(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((m+g)/2-t/2*(g-m)).outerRadius((m+g)/2+t/2*(g-m)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",o(x[0],x[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(a=w(t,p.gauge.axis)).type=\"linear\",a.range=p.gauge.axis.range,a._id=\"xangularaxis\",a.setScale();var I=function(t){return(a.range[0]-t.x)/(a.range[1]-a.range[0])*Math.PI+Math.PI},P={},z=h.makeLabelFns(a,0).labelStandoff;P.xFn=function(t){var e=I(t);return Math.cos(e)*z},P.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*l)},P.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},P.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return o(x[0]+g*Math.cos(t),x[1]-g*Math.sin(t))};u=function(t){return O(I(t))};if(c=h.calcTicks(a),f=h.getTickSigns(a)[2],a.visible){f=\"inside\"===a.ticks?-1:1;var D=(a.linewidth||1)/2;h.drawTicks(t,a,{vals:c,layer:k,path:\"M\"+f*D+\",0h\"+f*a.ticklen,transFn:function(t){var e=I(t);return O(e)+\"rotate(\"+-s(e)+\")\"}}),h.drawLabels(t,a,{vals:c,layer:k,transFn:u,labelFns:P})}var R=[v].concat(p.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(_),F.exit().remove();var B=C(p.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([p.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");b(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(_),N.exit().remove(),R=[];var H=p.gauge.threshold.value;H&&R.push({range:[H,H],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(_),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([y]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(_),Y.exit().remove()}(t,0,e,{radius:N,innerRadius:j,gauge:H,layer:G,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var Y=I.selectAll(\"g.bullet\").data(O?e:[]);Y.exit().remove();var W=I.selectAll(\"g.bulletaxis\").data(O?e:[]);W.exit().remove(),O&&function(t,e,r,n){var i,a,s,l,c,f=r[0].trace,p=n.gauge,d=n.layer,g=n.gaugeBg,v=n.gaugeOutline,y=n.size,x=f.domain,T=n.transitionOpts,k=n.onComplete;p.enter().append(\"g\").classed(\"bullet\",!0),p.attr(\"transform\",o(y.l,y.t)),d.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),d.selectAll(\"g.xbulletaxistick,path,text\").remove();var M=y.h,A=f.gauge.bar.thickness*M,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(f._hasNumber||f._hasDelta?1-u.bulletNumberDomainSize:1);(i=w(t,f.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=h.calcTicks(i),s=h.makeTransTickFn(i),l=h.getTickSigns(i)[2],c=y.t+y.h,i.visible&&(h.drawTicks(t,i,{vals:\"inside\"===i.ticks?h.clipEnds(i,a):a,layer:d,path:h.makeTickPath(i,c,l),transFn:s}),h.drawLabels(t,i,{vals:a,layer:d,transFn:s,labelFns:h.makeLabelFns(i,c)}));function C(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)*M})).attr(\"height\",(function(t){return t.thickness*M}))}var L=[g].concat(f.gauge.steps),I=p.selectAll(\"g.bg-bullet\").data(L);I.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),I.select(\"rect\").call(C).call(_),I.exit().remove();var P=p.selectAll(\"g.value-bullet\").data([f.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",A).attr(\"y\",(M-A)/2).call(_),b(T)?P.select(\"rect\").transition().duration(T.duration).ease(T.easing).each(\"end\",(function(){k&&k()})).each(\"interrupt\",(function(){k&&k()})).attr(\"width\",Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var z=r.filter((function(){return f.gauge.threshold.value})),O=p.selectAll(\"g.threshold-bullet\").data(z);O.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),O.select(\"line\").attr(\"x1\",i.c2p(f.gauge.threshold.value)).attr(\"x2\",i.c2p(f.gauge.threshold.value)).attr(\"y1\",(1-f.gauge.threshold.thickness)/2*M).attr(\"y2\",(1-(1-f.gauge.threshold.thickness)/2)*M).call(m.stroke,f.gauge.threshold.line.color).style(\"stroke-width\",f.gauge.threshold.line.width),O.exit().remove();var D=p.selectAll(\"g.gauge-outline\").data([v]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(C).call(_),D.exit().remove()}(t,0,e,{gauge:Y,layer:W,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var X=I.selectAll(\"text.title\").data(e);X.exit().remove(),X.enter().append(\"text\").classed(\"title\",!0),X.attr(\"text-anchor\",(function(){return O?v.right:v[L.title.align]})).text(L.title.text).call(c.font,L.title.font).call(f.convertToTspans,t),X.attr(\"transform\",(function(){var t,e=R.l+R.w*y[L.title.align],r=u.titlePadding,n=c.bBox(X.node());if(P){if(z)if(L.gauge.axis.visible)t=c.bBox(G.node()).top-r-n.bottom;else t=R.t+R.h/2-N/2-n.bottom-r;O&&(t=A-(n.top+n.bottom)/2,e=R.l-u.bulletPadding*R.w)}else t=L._numbersTop-r-n.bottom;return o(e,t)}))}))}},{\"../../components/color\":643,\"../../components/drawing\":665,\"../../constants/alignment\":745,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../../plots/cartesian/axes\":827,\"../../plots/cartesian/axis_defaults\":829,\"../../plots/cartesian/layout_attributes\":841,\"../../plots/cartesian/position_defaults\":844,\"./constants\":1118,d3:169}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:a.opacity,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../../plots/attributes\":823,\"../../plots/template_attributes\":905,\"../mesh3d/attributes\":1127}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),i=t(\"../streamtube/calc\").processGrid,a=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":651,\"../streamtube/calc\":1294}],1124:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var 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0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[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;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=f(S,E.color,E.rawColor)),h(M[C],x,d)}var L,I=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<I.length;b++){var P=I[b].containerInd,z=m[b].inds[x],O=I[b].categories;if(void 0===O[z]){var D=e.dimensions[P]._categoryarray[z],R=e.dimensions[P]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(I,M,g))}},{\"../../components/colorscale/calc\":651,\"../../components/colorscale/helpers\":654,\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/filter_unique.js\":769,\"../../lib/gup\":775,\"fast-isnumeric\":241}],1144:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;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 s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/domain\":854,\"../parcoords/merge_length\":1157,\"./attributes\":1141}],1145:[function(t,e,r){\"use 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\":1141,\"./base_plot\":1142,\"./calc\":1143,\"./defaults\":1144,\"./plot\":1147}],1146:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plot_api/plot_api\"),a=t(\"../../components/fx\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../components/drawing\"),c=t(\"tinycolor2\"),u=t(\"../../lib/svg_text_utils\");function f(t,e,r,i){var a=t.map(R.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var f=c.selectAll(\"g.trace.parcats\").data(a,h),v=f.enter().append(\"g\").attr(\"class\",\"trace parcats\");f.attr(\"transform\",(function(t){return s(t.x,t.y)})),v.append(\"g\").attr(\"class\",\"paths\");var y=f.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);y.attr(\"fill\",(function(t){return t.model.color}));var _=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);b(_),y.attr(\"d\",(function(t){return t.svgD})),_.empty()||y.sort(d),y.exit().remove(),y.on(\"mouseover\",g).on(\"mouseout\",m).on(\"click\",x),v.append(\"g\").attr(\"class\",\"dimensions\");var k=f.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);k.enter().append(\"g\").attr(\"class\",\"dimension\"),k.attr(\"transform\",(function(t){return s(t.x,0)})),k.exit().remove();var M=k.selectAll(\"g.category\").data((function(t){return t.categories}),h),A=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return s(0,t.y)})),A.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),w(A);var S=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);S.each((function(){o.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var z=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\"})),T(z),S.exit().remove(),A.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var O=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return p(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",O+\" -1px  1px 2px, \"+O+\" 1px  1px 2px, \"+O+\"  1px -1px 2px, \"+O+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return p(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){l.font(n.select(this),t.parcatsViewModel.categorylabelfont),u.convertToTspans(n.select(this),e)})),A.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){l.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",E).on(\"mouseout\",C),M.exit().remove(),k.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",L).on(\"drag\",I).on(\"dragend\",P)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),f.exit().remove()}function h(t){return t.key}function p(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function d(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),_(n.select(this));var e=v(t),r=y(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,s,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var m=t.parcatsViewModel.dimensions[l],x=t.parcatsViewModel.dimensions[l+1];i=(m.x+m.width+x.x)/2,s=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,w=t.parcatsViewModel.y+s,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(f)[0];a.loneHover({trace:h,x:b-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:h._input,fullData:h,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function m(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(d),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function y(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function x(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function _(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function w(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function T(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){k(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function A(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,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(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=k(t);_(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=S(r,s,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},M=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&M.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(M.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),M.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),M.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var A=M.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:A,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,s,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(S(t,e,this))})),i}(r,s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(b(e.pathSelection),w(e.dimensionSelection.selectAll(\"g.category\")),T(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(d),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?A(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function L(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,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),B(t.parcatsViewModel),D(t.parcatsViewModel),O(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.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?A(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,N(t.parcatsViewModel),B(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){D(t.parcatsViewModel,!0),O(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function O(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function D(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return s(t.x,0)})),r(i).attr(\"transform\",(function(t){return s(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return p(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return p(t)?t.width+5:-5})).each((function(t){var e,r;p(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),l=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),T(l),a.each((function(){o.raiseToTop(this)})),a.exit().remove()}function R(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(N(g),B(g)),g}function F(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+i+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+i)+\" \"+l[s]+\",\"+(e[s]+i)+\" \"+(t[s]+r[s])+\",\"+(e[s]+i),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function B(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)),n<i?-1:n>i?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})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?F(s,x,l,m,.5):F(s,x,l,m,0),h[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function N(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(j(t,a))}t.dimensions=r}function j(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<h;c++)l=m[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+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){f(r,t,n,e)}},{\"../../components/drawing\":665,\"../../components/fx\":683,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../../plot_api/plot_api\":813,d3:169,tinycolor2:576}],1147:[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\":1146}],1148:[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:\"number\",editType:\"plot\"},{valType:\"number\",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\":650,\"../../lib/extend\":768,\"../../plot_api/plot_template\":816,\"../../plots/cartesian/layout_attributes\":841,\"../../plots/domain\":854,\"../../plots/font_attributes\":855}],1149:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"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.length;r++)if(t>=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*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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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&&A(r)):A(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]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||A(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function M(t,e){return t[0]-e[0]}function A(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(M)).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){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),e.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(x);var i=t.selectAll(\".highlight\").data(o);i.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\"),i.attr(\"y1\",(function(t){return t.height})).call(x)}(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(M)):[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\":778,\"../../lib/gup\":775,\"./constants\":1152,d3:169}],1150:[function(t,e,r){\"use strict\";var n=t(\"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.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":754,\"../../plots/get_data\":864,\"./plot\":1159,d3:169}],1151:[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;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gup\":775}],1152:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1153:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=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(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);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\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/cartesian/axes\":827,\"../../plots/domain\":854,\"./attributes\":1148,\"./axisbrush\":1149,\"./constants\":1152,\"./merge_length\":1157}],1154:[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\":778}],1155:[function(t,e,r){\"use 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:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1148,\"./base_plot\":1150,\"./calc\":1151,\"./defaults\":1153,\"./plot\":1159}],1156:[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 sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\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(mask,\\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 r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===i?1:0,d[1][g]=g===a?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:h,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];C(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":642,\"../../lib/extend\":768,\"../../plots/attributes\":823,\"../../plots/domain\":854,\"../../plots/font_attributes\":855,\"../../plots/template_attributes\":905}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":890}],1162:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":643,\"fast-isnumeric\":241,tinycolor2:576}],1163:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":778,\"../../plots/domain\":854,\"../bar/defaults\":924,\"./attributes\":1160,\"fast-isnumeric\":241}],1164:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":679}],1165:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":778}],1166:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1160,\"./base_plot\":1161,\"./calc\":1162,\"./defaults\":1163,\"./layout_attributes\":1167,\"./layout_defaults\":1168,\"./plot\":1169,\"./style\":1170,\"./style_one\":1171}],1167:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1168:[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(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":778,\"./layout_attributes\":1167}],1169:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.trace,s=i.cx,c=i.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var f=u.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[m.castOption(f,t.pts)],_module:o._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var h=t.rInscribed||0,p=s+t.pxmid[0]*(1-h),d=c+t.pxmid[1]*(1-h),g=r.separators,y=[];if(f&&-1!==f.indexOf(\"label\")&&y.push(t.label),t.text=m.castOption(u.hovertext||u.text,t.pts),f&&-1!==f.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,g),f&&-1!==f.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,g),f&&-1!==f.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;a.loneHover({trace:o,x0:p-h*i.r,x1:p+h*i.r,y:d,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==f.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(b.bgcolor,t.pts)||t.color,borderColor:m.castOption(b.bordercolor,t.pts),fontFamily:m.castOption(_.family,t.pts),fontSize:m.castOption(_.size,t.pts),fontColor:m.castOption(_.color,t.pts),nameLength:m.castOption(b.namelength,t.pts),textAlign:m.castOption(b.align,t.pts),hovertemplate:m.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:M(a,o/e),rotate:A(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:M(a,o/e),rotate:A(i+Math.PI/2)}}function M(t,e){return Math.cos(e)-t*e}function A(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(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<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.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),z(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,s+=l*r.v/2,n=O(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+L(i.px0,i.pxmid,!0,1)+L(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+L(i.px0,i.pxmid,!1,T)+L(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var M=L(i.px0,i.px1,!0,1);if(T){var A=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+L(i.px1,i.px0,!1,T)+\"l\"+A*i.px0[0]+\",\"+A*i.px0[1]+M+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,d);var S=m.castOption(g.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 n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=C(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=C(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:O(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var M=v.targetY;i.yLabelMin=M-y.height/2,i.yLabelMid=M,i.yLabelMax=M+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):L(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 g(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 i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),M=g.domain,A=a.w*(M.x[1]-M.x[0]),S=a.h*(M.y[1]-M.y[0]),E=(.5*A-d.r)/a.w,I=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:M.x[0]-E,xr:M.x[1]+E,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:L,prerenderTitles:_,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":643,\"../../components/drawing\":665,\"../../components/fx\":683,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../../plots/plots\":890,\"../bar/constants\":922,\"../bar/uniform_text\":936,\"./event_data\":1164,\"./helpers\":1165,d3:169}],1170:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":936,\"./style_one\":1171,d3:169}],1171:[function(t,e,r){\"use strict\";var 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\":643,\"./helpers\":1165}],1172:[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\":1186}],1173:[function(t,e,r){\"use strict\";var n=t(\"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;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;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}},{\"../../lib/str2rgbarray\":801,\"../../plots/cartesian/autorange\":826,\"../scatter/get_trace_color\":1196,\"gl-pointcloud2d\":324}],1174:[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\":778,\"./attributes\":1172}],1175:[function(t,e,r){\"use 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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(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=h({hoverinfo:f({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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o=n[t=i[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=a(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*g,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes));i.update(k)}return{circular:b,key:r,trace:s,guid:f.randstr(),horizontal:h,width:g,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:h?v:g,dragPerpendicular:h?g:v,arrangement:s.arrangement,sankey:i,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function b(t,e,r){var n=a(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:_,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function _(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,i=t.link.source.x1,a=t.link.target.x0,o=v(i,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2;return\"M\"+i+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"L\"+a+\",\"+h+\"C\"+l+\",\"+h+\" \"+s+\",\"+u+\" \"+i+\",\"+u+\"Z\"}}function w(t,e){var r=a(e.color),i=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-i,zoneY:-s,zoneWidth:l+2*i,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function T(t){t.attr(\"transform\",(function(t){return h(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function k(t){t.call(T)}function M(t,e){t.call(k),e.attr(\"d\",_())}function A(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function S(t){return t.link.width>1||t.linkLineWidth>0}function E(t){return h(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function C(t){return h(t.horizontal?0:t.labelY,t.horizontal?t.labelY:0)}function L(t){return i.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function I(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function z(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function O(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function R(t,e,r,a){var o=i.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(i){if(\"fixed\"!==i.arrangement&&(f.ensureSingle(a._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){a._fullLayout._dragCover=t})),f.raiseToTop(this),i.interactionState.dragInProgress=i.node,B(i.node),i.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,i.interactionState.hovered),i.interactionState.hovered=!1),\"snap\"===i.arrangement)){var o=i.traceId+\"|\"+i.key;i.forceLayouts[o]?i.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(a).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,i){return function(){for(var t=0,a=0;a<r.length;a++){var o=r[a];o===i.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(i.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!i.interactionState.dragInProgress&&t<.1&&i.forceLayouts[e].alpha()>0&&i.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,i),function(t,e,r,i,a){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[i].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),M(t.filter(N(r)),e),r.forceLayouts[i].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,F(r,a)}}))}(t,e,i,o,a)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=i.event.x,a=i.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),a=Math.max(0,Math.min(r.size-r.visibleHeight/2,a)),r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2),B(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),M(t.filter(N(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&F(t,a)}}));t.on(\".drag\",null).call(o)}function F(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}y.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function B(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function N(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var h=t._fullLayout._dragCover,p=r.filter((function(t){return m(t).trace.visible})).map(x.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(p,d);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",E),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=i.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",E);var y=v.selectAll(\".\"+n.cn.sankeyLinks).data(g,d);y.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=y.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(b.bind(null,t))}),d);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(D,v,c.linkEvents),k.style(\"stroke\",(function(t){return S(t)?o.tinyRGB(a(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return S(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return S(t)?t.linkLineWidth:1})).attr(\"d\",_()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||h?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var M=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(g,d);M.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),M.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=M.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(w.bind(null,t))}),d);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(T).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(D,v,c.nodeEvents).call(R,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(T).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),F.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var B=F.selectAll(\".\"+n.cn.nodeRect).data(g);B.enter().append(\"rect\").classed(n.cn.nodeRect,!0).call(A),B.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return o.tinyRGB(a(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return o.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),B.transition().ease(n.ease).duration(n.duration).call(A);var N=F.selectAll(\".\"+n.cn.nodeCapture).data(g);N.enter().append(\"rect\").classed(n.cn.nodeCapture,!0).style(\"fill-opacity\",0),N.attr(\"x\",(function(t){return t.zoneX})).attr(\"y\",(function(t){return t.zoneY})).attr(\"width\",(function(t){return t.zoneWidth})).attr(\"height\",(function(t){return t.zoneHeight}));var 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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\":650,\"../../lib/extend\":768,\"../../plots/attributes\":823,\"../../plots/template_attributes\":905,\"../scatter/attributes\":1186}],1221:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":778,\"../scatter/constants\":1190,\"../scatter/fillcolor_defaults\":1194,\"../scatter/line_defaults\":1199,\"../scatter/line_shape_defaults\":1201,\"../scatter/marker_defaults\":1205,\"../scatter/subtypes\":1211,\"../scatter/text_defaults\":1212,\"./attributes\":1220}],1223:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1224:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1225:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":778,\"../scatter/hover\":1197}],1226:[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\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":840,\"../scatter/marker_colorbar\":1204,\"../scatter/select\":1208,\"../scatter/style\":1210,\"./attributes\":1220,\"./calc\":1221,\"./defaults\":1222,\"./event_data\":1223,\"./format_labels\":1224,\"./hover\":1225,\"./plot\":1227}],1227:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var 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<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":665,\"../../plots/cartesian/axes\":827,\"../scatter/plot\":1207}],1228:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":778,\"../scatter/fillcolor_defaults\":1194,\"../scatter/line_defaults\":1199,\"../scatter/marker_defaults\":1205,\"../scatter/subtypes\":1211,\"../scatter/text_defaults\":1212,\"./attributes\":1228}],1231:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],1232:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":827}],1233:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":665,\"../../components/fx/helpers\":679,\"../../constants/interactions\":752,\"../../lib\":778,\"../../lib/gl_format_color\":774,\"../../plots/cartesian/axis_ids\":830,\"../../registry\":910,\"../scatter/make_bubble_size_func\":1203,\"../scatter/subtypes\":1211,\"./constants\":1240,\"./helpers\":1245,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":574}],1242:[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,g){function m(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,g,m);if(x){u(t,e,g,m);var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":778,\"../../registry\":910,\"../scatter/constants\":1190,\"../scatter/fillcolor_defaults\":1194,\"../scatter/line_defaults\":1199,\"../scatter/marker_defaults\":1205,\"../scatter/period_defaults\":1206,\"../scatter/subtypes\":1211,\"../scatter/text_defaults\":1212,\"../scatter/xy_defaults\":1213,\"./attributes\":1238,\"./helpers\":1245}],1243:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":643,\"../../constants/interactions\":752,\"../../lib\":778}],1244:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":1195}],1245:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1240}],1246:[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 s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var 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,M=o._origY,A=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:M?M[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?A.text=h.htx:h.tx?A.text=h.tx:o.text&&(A.text=o.text),i.fillText(h,o,A),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=g.ids;var E=T;if(\"x\"===n)for(c=0;c<i.length;c++)s=x[i[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,f=y.c2p(b[i[c]])-w,p=Math.sqrt(u*u+f*f),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,f=y.c2p(l)-w,(h=Math.sqrt(u*u+f*f))<E&&(E=p=h,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":778,\"../../registry\":910,\"../scatter/get_trace_color\":1196}],1247:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":840,\"../scatter/cross_trace_defaults\":1192,\"../scatter/marker_colorbar\":1204,\"./attributes\":1238,\"./calc\":1239,\"./defaults\":1242,\"./format_labels\":1244,\"./hover\":1246,\"./plot\":1248,\"./select\":1250}],1248:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,I=L.index,P=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[I]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<P;g++)R[g]||F.push(g);v.unselectBatch[I]=F}var B=L.xpx=new Array(P),N=L.ypx=new Array(P);for(g=0;g<P;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":661,\"../../lib\":778,\"../../lib/prepare_regl\":791,\"../scatter/link_traces\":1202,\"../scatter/subtypes\":1211,\"./edit_style\":1243,\"gl-text\":352,\"regl-error2d\":534,\"regl-line2d\":535,\"regl-scatter2d\":537}],1249:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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e,r,i,a,s,l,c,u,f,h,p,d,g=t._x,m=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,M=\"\";for(y&&(c=g[0],f=m[0],p=v[0]),y>1&&(u=g[y-1],h=m[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,m[e]),w=Math.min(w,m[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||g[e]===c||(a=!0,M+=\"x\"),s||m[e]===f||(s=!0,M+=\"y\"),l||v[e]===p||(l=!0,M+=\"z\");a||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(f>h?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var C=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?g:\"y\"===t?m:v},I=function(t){return\"x\"===t?A:\"y\"===t?S:E},P=function(t){return t[y-1]<t[0]?-1:1},z=L(M[1]),O=L(M[3]),D=L(M[5]),R=I(M[1]).length,F=I(M[3]).length,B=I(M[5]).length,N=!1,j=function(t,e,r){return 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),h||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(f),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(f),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../bar/style\":934,\"../bar/uniform_text\":936,\"../pie/helpers\":1165,\"../pie/plot\":1169,\"./constants\":1301,\"./fx\":1303,\"./helpers\":1304,\"./style\":1309,d3:169,\"d3-hierarchy\":161}],1309:[function(t,e,r){\"use strict\";var n=t(\"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\":643,\"../../lib\":778,\"../bar/uniform_text\":936,d3:169}],1310:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({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:a(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},i.zauto,{}),zmin:s({},i.zmin,{}),zmax:s({},i.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":643,\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../../plots/attributes\":823,\"../../plots/template_attributes\":905}],1311:[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\":651}],1312:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),i=t(\"ndarray\"),a=t(\"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 d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),g=l.dataScale,m=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v])];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(m*v),[m,v]);for(r=0;r<m;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=g[2],w.intensityBounds[1]*=g[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var M=[!0,!0,!0],A=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=M,p.enableHighlight=M,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gl_format_color\":774,\"../../lib/str2rgbarray\":801,\"../heatmap/find_empties\":1070,\"../heatmap/interp2d\":1073,\"gl-surface3d\":351,ndarray:495,\"ndarray-linear-interpolate\":489}],1313:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},a(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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d=i.ensureSingle(h,\"g\",\"slicetext\"),T=i.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(C,s,S.font,{onPathbar:!0}));T.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\"transform\",(function(t){var e=M(t,!0,A,[g,m]);return function(t){return _(e(t))}})):T.attr(\"transform\",_(s))}))}},{\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../sunburst/fx\":1303,\"../sunburst/helpers\":1304,\"./constants\":1327,\"./partition\":1334,\"./style\":1336,d3:169}],1330:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),f=t(\"../sunburst/fx\"),h=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../box/defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\"),plot:t(\"./plot\"),style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../box/select\"),moduleType:\"trace\",name:\"violin\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":840,\"../box/defaults\":948,\"../box/select\":955,\"../scatter/style\":1210,\"./attributes\":1337,\"./calc\":1338,\"./cross_trace_calc\":1339,\"./defaults\":1340,\"./hover\":1342,\"./layout_attributes\":1344,\"./layout_defaults\":1345,\"./plot\":1346,\"./style\":1347}],1344:[function(t,e,r){\"use strict\";var 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f={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(f).call(i.stroke,c.color),o.selectAll(\"path.meanline\").style(f).call(i.stroke,c.color),a(o,r,t)}))}},{\"../../components/color\":643,\"../scatter/style\":1210,d3:169}],1348:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../isosurface/attributes\"),a=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,hovertemplate:i.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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   ],
   "source": [
    "X, y = make_regression(n_samples=500, n_features=1, random_state=0, noise=10.0)\n",
    "plot_regression(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can fit a simple linear regression to this data using sklearn:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
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\"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"x\": 0.46, \"y\": 0.93}, \"width\": 550, \"xaxis\": {\"dtick\": 1, \"range\": [-3, 3], \"tick0\": -3, \"title\": {\"text\": \"x\"}}, \"yaxis\": {\"dtick\": 30, \"range\": [-150, 150], \"tick0\": -150, \"title\": {\"text\": \"y\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('c3b98447-d9ee-40d0-a86c-908bb7e26095');\n",
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       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sk_model = LinearRegression().fit(X, y)\n",
    "plot_regression(X, y, sk_model.predict(X))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are the parameters of that fitted line:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "w_0: -0.77 (bias/intercept)\n",
      "w_1: 45.50\n"
     ]
    }
   ],
   "source": [
    "print(f\"w_0: {sk_model.intercept_:.2f} (bias/intercept)\")\n",
    "print(f\"w_1: {sk_model.coef_[0]:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As an equation, that looks like this:\n",
    "\n",
    "$$\\hat{y}=-0.77 + 45.50X$$\n",
    "\n",
    "Or in matrix form:\n",
    "\n",
    "$$\\begin{bmatrix} \\hat{y_1} \\\\ \\hat{y_2} \\\\ \\vdots \\\\ \\hat{y_n} \\end{bmatrix}=\\begin{bmatrix} 1 & x_1 \\\\ 1 & x_2 \\\\ \\vdots & \\vdots \\\\ 1 & x_n \\end{bmatrix} \\begin{bmatrix} -0.77 \\\\ 45.55 \\end{bmatrix}$$\n",
    "\n",
    "Or in graph form I'll represent it like this: \n",
    "\n",
    "![](img/nn-1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2. Linear Regression with a Neural Network in PyTorch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So let's implement the above in PyTorch to start gaining an intuition about neural networks! Almost every neural network model you build in PyTorch will inherit from `torch.nn.Module`. If you're unfamiliar with class inheritance check out [this section of Python Programming for Data Science](https://www.tomasbeuzen.com/python-programming-for-data-science/Chapters/Chapter3-tests-classes.html#inheritance-subclasses). Basically, inheritance allows us to inherit functionality from an existing class into a new class without having to write the code ourselves!\n",
    "\n",
    "Let's create a model called `linearRegression` and then I'll walk you through the syntax:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "class linearRegression(nn.Module):  # our class inherits from nn.Module and we can call it anything we like\n",
    "    def __init__(self, input_size, output_size):\n",
    "        super().__init__()                                # super().__init__() makes our class inherit everything from torch.nn.Module\n",
    "        self.linear = nn.Linear(input_size, output_size)  # this is a simple linear layer: wX + b\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.linear(x)\n",
    "        return out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's step through the above:\n",
    "\n",
    "```python\n",
    "class linearRegression(nn.Module):\n",
    "    def __init__(self, input_size, output_size):\n",
    "        super().__init__() \n",
    "```\n",
    "\n",
    "^ Here we're creating a class called `linearRegression` and inheriting the methods and attributes of `nn.Module` (hint: try typing `help(linearRegression)` to see all the things we inheritied from `nn.Module`).\n",
    "\n",
    "```python\n",
    "        self.linear = nn.Linear(input_size, output_size)\n",
    "```\n",
    "\n",
    "^ Here we're defining a \"Linear\" layer, which just means `wX + b`, i.e., the weights of the network, multiplied by the input features plus the bias.\n",
    "\n",
    "```python\n",
    "    def forward(self, x):\n",
    "        out = self.linear(x)\n",
    "        return out\n",
    "```\n",
    "\n",
    "^ PyTorch networks created with `nn.Module` must have a `forward()` method. It accepts the input data `x` and passes it through the defined operations. In this case, we are passing `x` into our linear layer and getting an output `out`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After defining the model class, we can create an instance of that class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = linearRegression(input_size=1, output_size=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](img/nn-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can check out our model using `print()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linearRegression(\n",
      "  (linear): Linear(in_features=1, out_features=1, bias=True)\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "print(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or the more useful `summary()` (which we imported at the top of this notebook with `from torchsummary import summary`):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==========================================================================================\n",
      "Layer (type:depth-idx)                   Output Shape              Param #\n",
      "==========================================================================================\n",
      "├─Linear: 1-1                            [-1, 1]                   2\n",
      "==========================================================================================\n",
      "Total params: 2\n",
      "Trainable params: 2\n",
      "Non-trainable params: 0\n",
      "Total mult-adds (M): 0.00\n",
      "==========================================================================================\n",
      "Input size (MB): 0.00\n",
      "Forward/backward pass size (MB): 0.00\n",
      "Params size (MB): 0.00\n",
      "Estimated Total Size (MB): 0.00\n",
      "==========================================================================================\n"
     ]
    }
   ],
   "source": [
    "summary(model, (1,));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice how we have two parameters? We have one for the weight (`w1`) and one for the bias (`w0`). These were initialized randomly by PyTorch when we created our model. They can be accessed with `model.state_dict()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OrderedDict([('linear.weight', tensor([[-0.2427]])),\n",
       "             ('linear.bias', tensor([0.0084]))])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.state_dict()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay, before we move on, the `x` and `y` data I created are currently NumPy arrays but they need to be PyTorch tensors. Let's convert them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_t = torch.tensor(X, dtype=torch.float32)  # I'll explain requires_grad next Chapter\n",
    "y_t = torch.tensor(y, dtype=torch.float32)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a working model right now and could tell it to give us some output with this syntax:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted: -0.14\n",
      "   Actual: 31.08\n"
     ]
    }
   ],
   "source": [
    "y_p = model(X_t[0]).item()\n",
    "print(f\"Predicted: {y_p:.2f}\")\n",
    "print(f\"   Actual: {y[0]:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our prediction is pretty bad because our model is not trained/fitted yet! As we learned in the past few chapters, to fit our model we need:\n",
    "1. **a loss function** (called \"criterion\" in PyTorch) to tell us how good/bad our predictions are - we'll use mean squared error, `torch.nn.MSELoss()`\n",
    "2. **an optimization algorithm** to help optimise model parameters - we'll use GD, `torch.optim.SGD()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "LEARNING_RATE = 0.1\n",
    "criterion = nn.MSELoss()  # loss function\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=LEARNING_RATE)  # optimization algorithm is SGD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we train I'm going to create a \"data loader\" to help batch my data. We'll talk more about these in later chapters but just think of them as generators that yield data to us on request (if you're unfamiliar with generators, check out this section of [Python Programming for Data Science](https://www.tomasbeuzen.com/python-programming-for-data-science/chapters/chapter2-loops-functions.html#generators)). We'll use a `BATCH_SIZE = 50` (which should give us 10 batches because we have 500 data points):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "BATCH_SIZE = 50\n",
    "dataset = TensorDataset(X_t, y_t)\n",
    "dataloader = DataLoader(dataset, batch_size=BATCH_SIZE, shuffle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, we should have 10 batches:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of batches: 10\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total number of batches: {len(dataloader)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can look at a batch using this syntax:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Shape of feature data (X) in batch: torch.Size([50, 1])\n",
      "Shape of response data (y) in batch: torch.Size([50])\n"
     ]
    }
   ],
   "source": [
    "XX, yy = next(iter(dataloader))\n",
    "print(f\" Shape of feature data (X) in batch: {XX.shape}\")\n",
    "print(f\"Shape of response data (y) in batch: {yy.shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With our data loader defined, let's train our simple network for 5 epochs of SGD!\n",
    "\n",
    "> I'll explain all the code here next chapter but scan throught it, it's not too hard to see what's going on!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1, loss: 135.1689\n",
      "epoch: 2, loss: 20.1312\n",
      "epoch: 3, loss: 18.7327\n",
      "epoch: 4, loss: 18.7078\n",
      "epoch: 5, loss: 18.6989\n"
     ]
    }
   ],
   "source": [
    "def trainer(model, criterion, optimizer, dataloader, epochs=5, verbose=True):\n",
    "    \"\"\"Simple training wrapper for PyTorch network.\"\"\"\n",
    "    \n",
    "    for epoch in range(epochs):\n",
    "        losses = 0\n",
    "        for X, y in dataloader:\n",
    "            optimizer.zero_grad()       # Clear gradients w.r.t. parameters\n",
    "            y_hat = model(X).flatten()  # Forward pass to get output\n",
    "            loss = criterion(y_hat, y)  # Calculate loss\n",
    "            loss.backward()             # Getting gradients w.r.t. parameters\n",
    "            optimizer.step()            # Update parameters\n",
    "            losses += loss.item()       # Add loss for this batch to running total\n",
    "        if verbose: print(f\"epoch: {epoch + 1}, loss: {losses / len(dataloader):.4f}\")\n",
    "   \n",
    "trainer(model, criterion, optimizer, dataloader, epochs=5, verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now our model has been trained, our parameters should be different than before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OrderedDict([('linear.weight', tensor([[45.4260]])),\n",
       "             ('linear.bias', tensor([-1.2242]))])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.state_dict()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing to the sklearn model, we get a very similar answer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>w0</th>\n",
       "      <th>w1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sklearn</th>\n",
       "      <td>-0.77</td>\n",
       "      <td>45.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pytorch</th>\n",
       "      <td>-1.22</td>\n",
       "      <td>45.43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           w0     w1\n",
       "sklearn -0.77  45.50\n",
       "pytorch -1.22  45.43"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({\"w0\": [sk_model.intercept_, model.state_dict()['linear.bias'].item()],\n",
    "              \"w1\": [sk_model.coef_[0], model.state_dict()['linear.weight'].item()]},\n",
    "             index=['sklearn', 'pytorch']).round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We got pretty close! We could do better by changing the number of epochs or the learning rate. So here is our simple network once again:\n",
    "\n",
    "![](img/nn-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By the way, check out what happens if we run `trainer()` again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1, loss: 18.7552\n",
      "epoch: 2, loss: 18.7638\n",
      "epoch: 3, loss: 18.7314\n",
      "epoch: 4, loss: 18.7215\n",
      "epoch: 5, loss: 18.7264\n"
     ]
    }
   ],
   "source": [
    "trainer(model, criterion, optimizer, dataloader, epochs=5, verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our model continues where we left off! This may or may not be what you want. We can start from scratch by re-making our `model` and `optimizer`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3. Multiple Linear Regression with a Neural Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay, let's do a multiple linear regression now with 3 features. So our network will look like this:\n",
    "\n",
    "![](img/nn-3.png)\n",
    "\n",
    "Let's go ahead and create some data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create dataset\n",
    "X, y = make_regression(n_samples=500, n_features=3, random_state=0, noise=10.0)\n",
    "X_t = torch.tensor(X, dtype=torch.float32)\n",
    "y_t = torch.tensor(y, dtype=torch.float32)\n",
    "# Create dataloader\n",
    "dataset = TensorDataset(X_t, y_t)\n",
    "dataloader = DataLoader(dataset, batch_size=BATCH_SIZE, shuffle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And let's create the above model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = linearRegression(input_size=3, output_size=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We should now have 4 parameters (3 weights and 1 bias):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==========================================================================================\n",
      "Layer (type:depth-idx)                   Output Shape              Param #\n",
      "==========================================================================================\n",
      "├─Linear: 1-1                            [-1, 1]                   4\n",
      "==========================================================================================\n",
      "Total params: 4\n",
      "Trainable params: 4\n",
      "Non-trainable params: 0\n",
      "Total mult-adds (M): 0.00\n",
      "==========================================================================================\n",
      "Input size (MB): 0.00\n",
      "Forward/backward pass size (MB): 0.00\n",
      "Params size (MB): 0.00\n",
      "Estimated Total Size (MB): 0.00\n",
      "==========================================================================================\n"
     ]
    }
   ],
   "source": [
    "summary(model, (3,));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks good to me! Let's train the model and then compare it to sklearn's `LinearRegression()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1, loss: 201.4410\n",
      "epoch: 2, loss: 22.4213\n",
      "epoch: 3, loss: 20.4116\n",
      "epoch: 4, loss: 20.5035\n",
      "epoch: 5, loss: 20.5471\n"
     ]
    }
   ],
   "source": [
    "criterion = nn.MSELoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=LEARNING_RATE)\n",
    "trainer(model, criterion, optimizer, dataloader, epochs=5, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>w0</th>\n",
       "      <th>w1</th>\n",
       "      <th>w2</th>\n",
       "      <th>w3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sklearn</th>\n",
       "      <td>0.43</td>\n",
       "      <td>0.62</td>\n",
       "      <td>55.99</td>\n",
       "      <td>11.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pytorch</th>\n",
       "      <td>0.28</td>\n",
       "      <td>0.53</td>\n",
       "      <td>55.98</td>\n",
       "      <td>11.10</td>\n",
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      "text/plain": [
       "           w0    w1     w2     w3\n",
       "sklearn  0.43  0.62  55.99  11.14\n",
       "pytorch  0.28  0.53  55.98  11.10"
      ]
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     "execution_count": 44,
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   "source": [
    "sk_model = LinearRegression().fit(X, y)\n",
    "pd.DataFrame({\"w0\": [sk_model.intercept_, model.state_dict()['linear.bias'].item()],\n",
    "              \"w1\": [sk_model.coef_[0], model.state_dict()['linear.weight'][0, 0].item()],\n",
    "              \"w2\": [sk_model.coef_[1], model.state_dict()['linear.weight'][0, 1].item()],\n",
    "              \"w3\": [sk_model.coef_[2], model.state_dict()['linear.weight'][0, 2].item()]},\n",
    "             index=['sklearn', 'pytorch']).round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.4. Non-linear Regression with a Neural Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay so we've made simple networks to imitate simple and multiple *linear* regression. You're probably thinking, so what? But we're getting to the good stuff I promise! For example, what happens when we have more complicated datasets like this?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
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   "source": [
    "# Create dataset\n",
    "np.random.seed(2020)\n",
    "X = np.sort(np.random.randn(500))\n",
    "y = X ** 2 + 15 * np.sin(X) **3\n",
    "X_t = torch.tensor(X[:, None], dtype=torch.float32)\n",
    "y_t = torch.tensor(y, dtype=torch.float32)\n",
    "# Create dataloader\n",
    "dataset = TensorDataset(X_t, y_t)\n",
    "dataloader = DataLoader(dataset, batch_size=BATCH_SIZE, shuffle=True)\n",
    "plot_regression(X, y, y_range=[-25, 25], dy=5)"
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   "source": [
    "This is obviously non-linear, and we need to introduce some **non-linearities** into our network. These non-linearities are what make neural networks so powerful and they are called **\"activation functions\"**. We are going to create a new model class that includes a non-linearity - a sigmoid function:\n",
    "\n",
    "$$S(X)=\\frac{1}{1+e^{-x}}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
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   "source": [
    "def sigmoid(x):\n",
    "    return 1 / (1 + np.exp(-x))\n",
    "\n",
    "xs = np.linspace(-15, 15, 100)\n",
    "plot_regression(xs, [0], sigmoid(xs), x_range=[-5, 5], y_range=[0, 1], dy=0.2)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll talk more about activation functions later, but note how the sigmoid function non-linearly maps `x` to a value between 0 and 1. Okay, so let's create the following network:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](img/nn-5.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All this means is that the value of each node in the hidden layer will be transformed by the \"activation function\", thus introducing non-linear elements to our model! There's two main ways of creating the above model in PyTorch, I'll show you both:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "class nonlinRegression(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super().__init__()\n",
    "        self.hidden = nn.Linear(input_size, hidden_size)\n",
    "        self.output = nn.Linear(hidden_size, output_size)\n",
    "        self.sigmoid = nn.Sigmoid()\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.hidden(x)       # input -> hidden layer\n",
    "        x = self.sigmoid(x)      # sigmoid activation function in hidden layer\n",
    "        x = self.output(x)       # hidden -> output layer\n",
    "        return x"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note how our `forward()` method now passes `x` through the `nn.Sigmoid()` function after the hidden layer. The above method is very clear and flexible, but I prefer using `nn.Sequential()` to combine my layers together in the constructor:"
   ]
  },
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   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "class nonlinRegression(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super().__init__()\n",
    "        self.main = torch.nn.Sequential(\n",
    "            nn.Linear(input_size, hidden_size),  # input -> hidden layer\n",
    "            nn.Sigmoid(),                        # sigmoid activation function in hidden layer\n",
    "            nn.Linear(hidden_size, output_size)  # hidden -> output layer\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.main(x)\n",
    "        return x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's make an instance of our new class and confirm it has 10 parameters (6 weights + 4 biases):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==========================================================================================\n",
      "Layer (type:depth-idx)                   Output Shape              Param #\n",
      "==========================================================================================\n",
      "├─Sequential: 1-1                        [-1, 1]                   --\n",
      "|    └─Linear: 2-1                       [-1, 3]                   6\n",
      "|    └─Sigmoid: 2-2                      [-1, 3]                   --\n",
      "|    └─Linear: 2-3                       [-1, 1]                   4\n",
      "==========================================================================================\n",
      "Total params: 10\n",
      "Trainable params: 10\n",
      "Non-trainable params: 0\n",
      "Total mult-adds (M): 0.00\n",
      "==========================================================================================\n",
      "Input size (MB): 0.00\n",
      "Forward/backward pass size (MB): 0.00\n",
      "Params size (MB): 0.00\n",
      "Estimated Total Size (MB): 0.00\n",
      "==========================================================================================\n"
     ]
    }
   ],
   "source": [
    "model = nonlinRegression(1, 3, 1)\n",
    "summary(model, (1,));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay, let's train:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1, loss: 5.9213\n",
      "epoch: 2, loss: 3.0709\n",
      "epoch: 3, loss: 1.5621\n",
      "epoch: 4, loss: 1.3159\n",
      "epoch: 5, loss: 1.5005\n"
     ]
    }
   ],
   "source": [
    "criterion = nn.MSELoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.3)\n",
    "trainer(model, criterion, optimizer, dataloader, epochs=5, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
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    "y_p = model(X_t).detach().NumPy().squeeze()\n",
    "plot_regression(X, y, y_p, y_range=[-25, 25], dy=5)"
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    "Take a look at those non-linear predictions! Cool! Our model is not great and we could make it better soon by adjusting the learning rate, the number of nodes, and the number of epochs. But I really want you to see how **each of our hidden nodes is \"engineering a non-linear feature\"** to be used for the predictions, check it out:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
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         "tick0": -25,
         "type": "linear"
        }
       }
      },
      "image/png": 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     },
     "metadata": {},
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    }
   ],
   "source": [
    "plot_nodes(X, y_p, model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.5. Deep Learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You've probably heard the magic term \"deep learning\" and you're about to find out what it means! Really, it's just a neural network with more than 1 hidden layer! Easy!\n",
    "\n",
    "I like to think of each layer in a neural network as a \"feature engineerer\", it is trying to extract the maximum amount of information from the layer before it. There are arguments of \"deep network\" (many layers) vs \"wide network\" (many nodes), but for big datasets, \"deep networks\" have been shown to be very effective in practice\n",
    "\n",
    "Let's create a \"deep\" network of 2 layers:\n",
    "\n",
    "![](img/nn-6.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "class deepRegression(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size_1, hidden_size_2, output_size):\n",
    "        super().__init__()\n",
    "        self.main = nn.Sequential(\n",
    "            nn.Linear(input_size, hidden_size_1),\n",
    "            nn.Sigmoid(),\n",
    "            nn.Linear(hidden_size_1, hidden_size_2),\n",
    "            nn.Sigmoid(),\n",
    "            nn.Linear(hidden_size_2, output_size)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.main(x)\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
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   "source": [
    "model = deepRegression(1, 5, 3, 1)\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.3)\n",
    "trainer(model, criterion, optimizer, dataloader, epochs=20, verbose=False)\n",
    "plot_regression(X, y, model(X_t).detach(), y_range=[-25, 25], dy=5)"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above, note that just because the network is deeper, doesn't always mean it's better!"
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  },
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   "metadata": {},
   "source": [
    "## 4. Activation Functions\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we learned above, activation functions are what allow us to model complex, non-linear functions. There are **many** different activations functions:"
   ]
  },
  {
   "cell_type": "code",
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   ],
   "source": [
    "functions = [torch.nn.Sigmoid, torch.nn.Tanh, torch.nn.Softplus, torch.nn.ReLU, torch.nn.LeakyReLU, torch.nn.SELU]\n",
    "plot_activations(torch.linspace(-6, 6, 100), functions)"
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   "cell_type": "markdown",
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    "Activation functions should be non-linear and tend to be monotonic and continuously differentiable (smooth). But as you can see with the ReLU function above, that's not always the case!\n",
    "\n",
    "I wanted to point this out because it highlights how much of an art deep learning really is. Here's a great quote from [Yoshua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) (famous for his work in AI and deep learning) on his group experimenting with ReLU:\n",
    "\n",
    ">\"...one of the biggest mistakes I made was to think, like everyone else in the 90s, that you needed smooth non-linearities in order for backpropagation to work. because I thought that if we had something like rectifying nonlinearities, where you have a flat part, that it would be really hard to train, because the derivative would be zero in so many places. And when we started experimenting with ReLU, with deep nets around 2010, I was obsessed with the idea that, we should be careful about whether neurons won't saturate too much on the zero part. **But in the end, it turned out that, actually, the ReLU was working a lot better than the sigmoids and tanh, and that was a big surprise**...it turned out to work better, whereas I thought it would be harder to train!\"\n",
    "\n",
    "Anyway, **ReLU is probably the most popular these days**, but you can treat activation functions as hyperparameters that need to be optimized in your workflow."
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   "source": [
    "## 5. Neural Network Classification\n",
    "<hr>"
   ]
  },
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   "source": [
    "### 5.1. Binary Classification"
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    "This will actually be the easiest part of the chapter. Up until now, we've been looking at developing networks for regression tasks, but what if we want to do binary classification? Well, what do we do in Logistic Regression? We just pass the output of a regression model into the Sigmoid function to get a value between 0 and 1 (a probability of an observation belonging to the positive class) - we'll do the same thing here!\n",
    "\n",
    "Let's create a toy dataset:"
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  {
   "cell_type": "code",
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   "source": [
    "X, y = make_circles(n_samples=300, factor=0.5, noise=0.1, random_state=2020)\n",
    "X_t = torch.tensor(X, dtype=torch.float32)\n",
    "y_t = torch.tensor(y, dtype=torch.float32)\n",
    "# Create dataloader\n",
    "dataset = TensorDataset(X_t, y_t)\n",
    "dataloader = DataLoader(dataset, batch_size=BATCH_SIZE, shuffle=True)\n",
    "plot_classification_2d(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create this network to model that dataset:\n",
    "\n",
    "![](img/nn-7.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'm going to start using `ReLU` as our activation function(s) and `Adam` as our optimizer because these are what are currently, commonly used in practice. We are doing classification now so we'll need to use log loss (binary cross entropy) as our loss function:\n",
    "\n",
    "$$f(w) = \\sum_{x,y \\in D} -y log(\\hat{y}) - (1-y)log(1-\\hat{y})$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In PyTorch, the binary cross entropy loss criterion is `torch.nn.BCELoss`. The formula expects a \"probability\" which is why we add a Sigmoid function to the end of out network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "class binaryClassifier(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super().__init__()\n",
    "        self.main = nn.Sequential(\n",
    "            nn.Linear(input_size, hidden_size),\n",
    "            nn.ReLU(),\n",
    "            nn.Linear(hidden_size, output_size),\n",
    "            nn.Sigmoid()  # <-- this will squash our output to a probability between 0 and 1\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.main(x)\n",
    "        return out"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**BUT WAIT!**\n",
    "\n",
    "While we can do the above and then train with a `torch.nn.BCELoss` loss function, there's a better way! We can omit the Sigmoid function and just use `torch.nn.BCEWithLogitsLoss` (which combines a Sigmoid layer and the BCELoss). Why would we do this? It's numerically stable! From the docs:\n",
    "\n",
    ">\"*This version is more numerically stable than using a plain Sigmoid followed by a BCELoss as, by combining the operations into one layer, we take advantage of the log-sum-exp trick for numerical stability.*\"\n",
    "\n",
    "So with that said, here's our model (no Sigmoid layer at the end because it's included in the loss function we'll use):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "class binaryClassifier(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super().__init__()\n",
    "        self.main = nn.Sequential(\n",
    "            nn.Linear(input_size, hidden_size),\n",
    "            nn.ReLU(),\n",
    "            nn.Linear(hidden_size, output_size)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.main(x)\n",
    "        return out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's train the model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1, loss: 0.0766\n",
      "epoch: 2, loss: 0.0663\n",
      "epoch: 3, loss: 0.0532\n",
      "epoch: 4, loss: 0.0420\n",
      "epoch: 5, loss: 0.0339\n",
      "epoch: 6, loss: 0.0287\n",
      "epoch: 7, loss: 0.0249\n",
      "epoch: 8, loss: 0.0204\n",
      "epoch: 9, loss: 0.0178\n",
      "epoch: 10, loss: 0.0152\n",
      "epoch: 11, loss: 0.0125\n",
      "epoch: 12, loss: 0.0116\n",
      "epoch: 13, loss: 0.0097\n",
      "epoch: 14, loss: 0.0085\n",
      "epoch: 15, loss: 0.0080\n",
      "epoch: 16, loss: 0.0074\n",
      "epoch: 17, loss: 0.0070\n",
      "epoch: 18, loss: 0.0067\n",
      "epoch: 19, loss: 0.0064\n",
      "epoch: 20, loss: 0.0061\n"
     ]
    }
   ],
   "source": [
    "model = binaryClassifier(2, 5, 1)\n",
    "criterion = torch.nn.BCEWithLogitsLoss() # loss function\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)  # optimization algorithm\n",
    "trainer(model, criterion, optimizer, dataloader, epochs=20, verbose=True)"
   ]
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   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
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   "source": [
    "plot_classification_2d(X, y, model)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To be clear, our model is just outputting some number between -∞ and +∞ (we aren't applying Sigmoid in the model), so:\n",
    "- To get the probabilities we would need to pass them through a Sigmoid;\n",
    "- To get classes, we can apply some threshold (usually 0.5) to this probability.\n",
    "\n",
    "For example, we would expect the point (0,0) to have a high probability and the point (-1,-1) to have a low probability:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[  5.7085],\n",
      "        [-12.6671]])\n"
     ]
    }
   ],
   "source": [
    "prediction = model(torch.tensor([[0, 0], [-1, -1]], dtype=torch.float32)).detach()\n",
    "print(prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[9.9669e-01],\n",
      "        [3.1533e-06]])\n"
     ]
    }
   ],
   "source": [
    "probability = nn.Sigmoid()(prediction)\n",
    "print(probability)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1]\n",
      " [0]]\n"
     ]
    }
   ],
   "source": [
    "classes = np.where(probability > 0.5, 1, 0)\n",
    "print(classes)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.2. Multiclass Classification (Optional)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For multiclass classification, we'll need the softmax function:\n",
    "\n",
    "$$\\sigma(\\vec{z})_i=\\frac{e^{z_i}}{\\sum_{j=1}^{K}e^{z_j}}$$\n",
    "\n",
    "It basically outputs probabilities for each class we wish to predict, and they all sum to 1. If you're not familiar with the different loss functions we're using in this chapter, I highly recommend you read through [this excellent blog post](https://gombru.github.io/2018/05/23/cross_entropy_loss/). `torch.nn.CrossEntropyLoss` is a loss that combines a softmax with cross entropy loss. Let's try a 4-class classification problem using the following network:\n",
    "\n",
    "![](img/nn-8.png)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "class multiClassifier(torch.nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super().__init__()\n",
    "        self.main = torch.nn.Sequential(\n",
    "            torch.nn.Linear(input_size, hidden_size),\n",
    "            torch.nn.ReLU(),\n",
    "            torch.nn.Linear(hidden_size, output_size)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.main(x)\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
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     },
     "metadata": {},
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   ],
   "source": [
    "X, y = make_blobs(n_samples=200, centers=4, center_box=(-1.2, 1.2), cluster_std=[0.15, 0.15, 0.15, 0.15], random_state=12345)\n",
    "X_t = torch.tensor(X, dtype=torch.float32)\n",
    "y_t = torch.tensor(y, dtype=torch.int64)\n",
    "# Create dataloader\n",
    "dataset = TensorDataset(X_t, y_t)\n",
    "dataloader = DataLoader(dataset, batch_size=BATCH_SIZE, shuffle=True)\n",
    "plot_classification_2d(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's train this model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1, loss: 0.1076\n",
      "epoch: 2, loss: 0.0715\n",
      "epoch: 3, loss: 0.0493\n",
      "epoch: 4, loss: 0.0355\n",
      "epoch: 5, loss: 0.0262\n",
      "epoch: 6, loss: 0.0192\n",
      "epoch: 7, loss: 0.0099\n",
      "epoch: 8, loss: 0.0046\n",
      "epoch: 9, loss: 0.0029\n",
      "epoch: 10, loss: 0.0015\n"
     ]
    }
   ],
   "source": [
    "model = multiClassifier(2, 5, 4)\n",
    "criterion = torch.nn.CrossEntropyLoss() # loss function\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=0.2)  # optimization algorithm\n",
    "\n",
    "for epoch in range(10):\n",
    "    losses = 0\n",
    "    for X_batch, y_batch in dataloader:\n",
    "        optimizer.zero_grad()       # Clear gradients w.r.t. parameters\n",
    "        y_hat = model(X_batch)            # Forward pass to get output\n",
    "        loss = criterion(y_hat, y_batch)  # Calculate loss\n",
    "        loss.backward()             # Getting gradients w.r.t. parameters\n",
    "        optimizer.step()            # Update parameters\n",
    "        losses += loss.item()       # Add loss for this batch to running total\n",
    "    print(f\"epoch: {epoch + 1}, loss: {losses / len(dataloader):.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
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   "source": [
    "plot_classification_2d(X, y, model, transform=\"Softmax\")"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To be clear once again, our model is just outputting some number between -∞ and +∞, so:\n",
    "- To get the probabilities we would need to pass them to a Softmax;\n",
    "- To get classes, we need to select the largest probability.\n",
    "\n",
    "For example, we would expect the point (-1,-1) to have a high probability of belonging to class 1, and the point (0,0) to have the highest probability of belonging to class 2."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[-11.2613,  14.0553,  -3.2340, -51.9501],\n",
      "        [ -2.0350,  -3.3383,   1.7017,   3.7850]])\n"
     ]
    }
   ],
   "source": [
    "prediction = model(torch.tensor([[-1, -1], [1,1]], dtype=torch.float32)).detach()\n",
    "print(prediction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note how we get 4 predictions per data point (a prediction for each of the 4 classes):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[1.0119e-11, 1.0000e+00, 3.1001e-08, 2.1588e-29],\n",
      "        [2.6301e-03, 7.1445e-04, 1.1036e-01, 8.8629e-01]])\n"
     ]
    }
   ],
   "source": [
    "probability = nn.Softmax(dim=1)(prediction)\n",
    "print(probability)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The predictions should now sum to 1:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([1., 1.])"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "probability.sum(dim=1)"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can get the class with maximum probability using `argmax()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([1, 3])\n"
     ]
    }
   ],
   "source": [
    "classes = probability.argmax(dim=1)\n",
    "print(classes)"
   ]
  }
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