{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Drift detection and characterization\n",
    "\n",
    "This tutorial shows how to implement drift detection, and a limited characterization, on time-stamped data. This data can be from almost any quantum circuit based experiment on one or more qubits, as long as the data is taken using a suitable time-ordering of the experiments, and the data is recorded as a time series. For example, possible experiments include suitably time-ordered GST, RPE, Ramsey or RB experiments.\n",
    "\n",
    "This notebook is an introduction to these tools, and it will be either augmented with further notebooks, or updated to be more comprehensive, at a later date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "# Importing the drift module is essential\n",
    "from pygsti.extras import drift\n",
    "\n",
    "# Importing all of pyGSTi is optional, but often useful.\n",
    "import pygsti"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## A quick overview\n",
    "We now give a quick overview of the drift detection and characterization methods in the `drift` module. Further details are given later in this tutorial. As we demonstrate below, the analysis can be implemented with only two steps:\n",
    "\n",
    "1. Import some timestamped data, into a `pyGSTi` dataset.\n",
    "2. Pass this data to a single analysis function, `drift.do_basic_drift_characterization()`.\n",
    "\n",
    "Here we demonstrate this with time series GST data, on the $G_i$, $G_x$, $G_y$ gateset, generated from a simulation (the code required to run these simulations is not currently available in `pyGSTi`). In this simulation the $G_i$ gate has low-frequency drift, the $G_x$ has high-frequency drift, and the $G_y$ gate is drift-free (where \"low\" and \"high\" frequency are with respect to the sample rate). More details on the input data format are given later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading tutorial_files/timeseries_data.txt: 100%\n"
     ]
    }
   ],
   "source": [
    "ds = pygsti.io.load_tddataset(\"tutorial_files/timeseries_data.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# This takes 5 - 10 minutes, but can be sped up a lot with more user input (see below)\n",
    "results_gst = drift.do_basic_drift_characterization(ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "** Thats it! **\n",
    "\n",
    "Everything has been calculated, and we can now look at the results. \n",
    "\n",
    "** Is there any detectable drift? **\n",
    "\n",
    "One useful result is printed below: a yes/no outcome for whether or not drift is detected. This is calculated using multiple statistical tests on the data at a specified global confidence level (which defaults to 0.95 when no user-specified value is passed to `drift.do_basic_drift_characterization`). That is, here there is a probability of at most 0.05 that this function will report drift when there is none."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Statistical tests set at a global confidence level of: 0.95\n",
      "Result: The 'no drift' hypothesis *is* rejected.\n"
     ]
    }
   ],
   "source": [
    "results_gst.any_drift_detect()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "** We can plot power spectra **\n",
    "\n",
    "These spectra *should* be flat - up to statistical flucations, due to finite-sampling noise, around the mean noise level - if there is no drift. There are a range of power spectra that we can plot, but the most useful for an overview of the data is the \"global power spectrum\", obtained from averaging power spectra calculated from the individual data for each of the different gate sequences (again, details on exactly what this is are given later). This is plotted below. If there are peaks above the significance threshold, this power spectra provides statistically significant evidence of drift."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
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X0aBBA0JDQxk0aBDz5s3LVW7Dhg106dIFgM6dO/stk59t27bRrVs3oqOjadmy\nJdu3b0dVGTduHC1atCAyMpI5c+YAThYkPj6eAQMG0KRJE4YOHYqq8u9//5v333+fxx57jKFDh+bI\nwpw4cYJBgwbRtGlT+vXrx4kTJzzLnj9/PnFxcbRs2ZKBAweSkpICQL169Zg4cSItW7YkMjKSTZs2\nAZCSksItt9xCZGQkUVFRzJ07N9/5eJs2bRrNmjUjKiqKQYMGATkzMcOHD+fuu+/miiuuoEGDBp4A\nNisrizvvvJMmTZrQvXt3evXq5Te4LUwdxo8fz9KlS4mJiWHKlClkZmYybtw42rRpQ1RUFDNnzgRg\n7969dOzYkZiYGFq0aMHSpUsZP348J06cICYmhqFDh+aYb2ZmJsOHD/fsrylTpnjWyV3XL774giZN\nmtCqVSvuvvtuTzbr8ccfZ8SIEcTHx9OgQQOmTZvmmW/FihUBJ1BOSUmhVatWzJkzh8cff5zJkyfn\nefykpKTQtWtXz/5zH5OJiYk0bdqU22+/nebNm9OjRw/P8eBvPgDPP/+8Z/tMnDjR7zb13S6ZmZl+\nlxEfH8+9995L69at+ec//0lSUhL9+/enTZs2tGnThuXLlwPw7bffejLnsbGxHD16FHCOP99jH2Dh\nwoXExsYSGRnJiBEjSEtLy1XPN954g0aNGtG2bVvPcoqVqp7zj1atWqlbQoJquXKqoFq+vPPeGGNM\nTldf7ZwnQfXo0dKujTHnvg0bNuR436lTp1yP6dOnq6rqsWPH/I5/4403VFU1KSkp17iCfPDBB3rr\nrbd63r/11lt611135So3ePBgnTp1qqqqzp07VwE9cOCAqqoGBwdrq1attF27dvrxxx/7XU7btm31\no48+UlXVEydO6LFjx/TDDz/Ubt26aUZGhv7xxx9at25d/f3333XRokVaqVIl/e233zQzM1Mvv/xy\nXbp0qaqqDhs2TD/44ANVVf3111+1efPmqqr6wgsv6C233KKqqmvXrtXg4GD98ccfNSkpSTt06KAp\nKSmqqvrss8/qE088oaqql1xyiU6bNk1VVadPn+7ZDg8++KDec889nrr/+eef+c7HW61atTQ1NVVV\nVQ8dOqSqqm+88YZnmw4bNkwHDBigmZmZ+ssvv+ill17q2Q9XX321ZmZm6t69e7Vy5cqe9ezUqVOB\n6+Jt0aJFes0113jez5w5U5988klVVU1NTdVWrVrpjh07dPLkyfrUU0+pqmpGRoYeOXJEVVUrVKjg\ndx+uXLlSu3Xr5nnvXj/3Pjlx4oTWqVNHd+zYoaqqgwYN8tRj4sSJGhcXp6mpqZqUlKQXXHCBnjx5\nMtfyvF9PnDhRn3/+eVX1f/x0GbCeAAAgAElEQVSkp6drcnKyqjrH/qWXXqpZWVn666+/anBwsP70\n00+qqjpw4ECdPXt2nvP56quv9Pbbb9esrCzNzMzUa665Rr/99ttc6+9dt/yW0alTJ73jjjs8ZQcP\nHuw5fnfu3KlNmjRRVdXevXvrsmXLVFX16NGjmp6enuex7962mzdvVlXVm266SadMmeJZ3o8//qi/\n//671q1bV/fv369paWl6xRVX+P0s+55zVFWBlVqI2Kns5DJd4uLg2mth7lz44gtr/mmMMf5YBtCY\nwDR58mTGjBnDrFmz6NixI7Vr1/Y009u5cye1a9dmx44ddOnShcjISC699FLPtEePHmXPnj3069cP\ngPDwcACWLVvG4MGDCQ4O5sILL6RTp078+OOPVKpUibZt21KnTh0AYmJiSExM5Morr8yzfkuWLOHu\nu+8GICoqiqioKAC+++47NmzYQPv27QE4efIkcV4/8q677joAWrVqxUcffQTAggULeO+99zxlqlSp\nwmeffZbvfNyioqIYOnQoffv2pW/fvn7r2rdvX4KCgmjWrBn79u3zbIuBAwcSFBREzZo16dy5c67p\nClqXvMyfP59169Z5snTJycls3bqVNm3aMGLECNLT0+nbty8xMTH5zqdBgwbs2LGDsWPHcs0119Cj\nR48c4zdt2kSDBg2oX78+AIMHD+bVV1/1jL/mmmsICwsjLCyMGjVqsG/fPs8+zk9ex096ejoPP/ww\nS5YsISgoiD179ni2Z/369T3r06pVKxITE/Ocz/z585k/fz6xsbGAk4HbunUrHTt2zLde/pbhdsMN\nN3heL1iwgA0bNnjeHzlyhJSUFNq3b8/999/P0KFDue666zzbwt+xHxERQf369WnUqBEAw4YNY/r0\n6dx7772e+X7//ffEx8dTvXp1Tx22bNlS4PYtijIXAAJccIHz7Nr/xhhjfHgHfdYTqDHFb3E+16Cc\nd955+Y6vVq1avuP9qV27Nr/99pvn/e7du6ldu3auchdddJEnQEpJSWHu3LlUrlzZMw9wAoT4+Hh+\n+umnHAHgqQgLC/O8Dg4OJuMUTziqSvfu3Xn33XfzXU5ByyhoPm6ff/45S5Ys4dNPP+Xpp5/m559/\nznOZ7vkWVl51+P777xk1ahTgXI9XqVKlXNO9+OKL9OzZM9c8lyxZwueff87w4cO5//77ufnmm/Nc\nfpUqVVi7di1fffUVM2bM4P333+f1118vdP2La5+6vf322yQlJbFq1SpCQkKoV68eqampfpfl3STY\nl6oyYcIEzzYsrPyWUaFCBc/rrKwsvvvuO0/A6TZ+/HiuueYavvjiC9q3b89XX33ld76nu52KU5m7\nBhCca//A6QjGGGNMbpYBNKZsadOmDVu3buXXX3/l5MmTvPfee347LDlw4ABZWVkATJo0iREjRgBw\n6NAhz7VIBw4cYPny5bk6kImIiKBOnTr897//BSAtLY3jx4/ToUMH5syZQ2ZmJklJSSxZsoS2bdue\n0np07NjR0/Pl+vXrWbduHQCXX345y5cvZ9u2bQAcO3aswKxI9+7dmT59uuf9oUOHCjWfrKwsfvvt\nNzp37sxzzz1HcnKy32v0/Gnfvj1z584lKyuLffv2+Q3k86pDu3btWLNmDWvWrKFPnz5ERER4ricD\n6NmzJ6+88grprpP2li1bOHbsGDt37uTCCy/k9ttv57bbbmP16tUAhISEeMp6cx8D/fv356mnnvKU\nd2vcuDE7duzwZMLc13SerryOn+TkZGrUqEFISAiLFi1i586dpzSfnj178vrrr3v21Z49e9i/f3+u\n6fPaLgXp0aMHL774oue9u8Ok7du3ExkZyUMPPUSbNm0816D607hxYxITEz37fvbs2XTq1ClHmXbt\n2vHtt99y8OBB0tPT+eCDD4pc14KU6QDQ/WyMMSYn7+8+CwCNOfeVK1eOl156iZ49e9K0aVOuv/56\nmjdvDjjd+3/yySeAk5ls3LgxjRo1Yt++fTzyyCMAbNy4kdatWxMdHU3nzp0ZP358rgAQnB+s06ZN\nIyoqiiuuuII//viDfv36ERUVRXR0NF26dOEf//gHNWvWPKX1uOOOO0hJSaFp06b87W9/o1WrVgBU\nr16dWbNmMXjwYKKiooiLi8v3hzbAo48+yqFDh2jRogXR0dEsWrSoUPPJzMzkxhtvJDIyktjYWO6+\n+25PlrQg/fv3p06dOjRr1owbb7yRli1bcv755+coU9h1iYqKIjg4mOjoaKZMmcJtt91Gs2bNaNmy\nJS1atGDUqFFkZGSwePFioqOjiY2NZc6cOdxzzz0AjBw50tOU1duePXuIj48nJiaGG2+8kUmTJuUY\nX758eV5++WWuuuoqWrVqRURERK51OFX+jp+hQ4eycuVKIiMjeeutt2jSpMkpzadHjx4MGTKEuLg4\nIiMjGTBgQI4A2i2v7VKQadOmsXLlSqKiomjWrBkzZswAYOrUqbRo0YKoqChCQkK4+uqr85xHeHg4\nb7zxBgMHDiQyMpKgoCBGjx6do0ytWrV4/PHHiYuLo3379jRt2rRI9SwMKUrK+mzVunVr9b5vRv/+\n8NFHsG0bnGbLBWOMKZNat4ZVq5zXdq405vRt3LjxjPxQM+eelJQUKlasyMGDBz29OJ5qQFxa3Oug\nqtx11100bNiQ++67r7SrZbz4O+eIyCpVbV3QtGXyGkDLABpjTP4sA2iMMWdG7969OXz4MCdPnuSx\nxx4754I/gH/961+8+eabnDx5ktjY2CJfV2fObmUyAHRf+2fXABpjjH/e1wCeRdelG2PMOa+oHfic\nje677z7L+JVhdg2gMcYEoPR0KF8++7UxxhhjAkOZDgAtA2iMMf55B4CWATSmeJSFfhWMMWe/0z3X\nlGgAKCJ1RWSRiGwQkV9E5B4/ZUREponINhFZJyIti7ocd+BnGUBjjPEvI8MygMYUp/DwcA4ePGhB\noDHmjFJVDh48mOt+hEVR0tcAZgAPqOpqEYkAVonI16q6wavM1UBD16Md8IrrudAsA2iMMflLT4eI\nCOe1ZQCNOX116tRh9+7dJCUllXZVjDFlXHh4OHXq1Dnl6Us0AFTVvcBe1+ujIrIRqA14B4DXAm+p\n8xfadyJSWURquaYtFLsG0Bhj8mcZQGOKV0hICPXr1y/tahhjTIFK7RpAEakHxALf+4yqDfzm9X63\na5jv9CNFZKWIrPT9t816ATXGmPzZNYDGGGNMYCqVAFBEKgJzgXtV9cipzENVX1XV1qraunr16jnG\nWQbQGGPyZxlAY4wxJjCVeAAoIiE4wd/bqvqRnyJ7gLpe7+u4hhWaXQNojDH5swygMcYYE5hKuhdQ\nAV4DNqrq/+VR7BPgZldvoJcDyUW5/g+sF1BjjCmIZQCNMcaYwFTSvYC2B24CfhaRNa5hDwMXA6jq\nDOALoBewDTgO3FLUhVgG0Bhj8paZCaoWABpjjDGBqKR7AV0GSAFlFLjr1Jdh1wAaY0x+3E0+rQmo\nMcYYE3hKrRfQM8X7n2zLABpjTG7u8+R55+V8b4wxxpiyr9ABoIiEi0iaiPQ9kxU6Xd5ZP8sAGmNM\nbu6AzzKAxhhjTOApdACoqqnAfuCs/qngnfWzDKAxxuTm2wTUMoDGGGNM4ChqE9CZwN2uWzmclSwD\naIwx+bMMoDHGGBO4itoJTGWgBZAoIguBfYB6jVdVfai4KncqvIM+ywAaY0xulgE0xhhjAldRA8D+\ngDus6uBnvAKlGgB6B32WATTGmNwsA2iMMcYEriIFgKpa/0xVpLhYBtAYY/JnGUBjjDEmcJW520D4\nuwZwxQqYNMl5NsaYQOcO+MLCQMQygMYYY0wgKfKN4EUkCngEaA3UAeJUdbWIPA0sU9Uvi7mOReLb\nC+j//ge9ejk/csLCYOFCiIsrvfoZY0xpcwd8ISFQrpxlAI0xxphAUqQMoIhcDawCagJvAd69gaYB\nY4uvaqfGNwP46aegCllZzvvFi0utasYYc1ZwB3zlyjlBoGUAjTHGmMBR1Cagk4BZqtoJeNpn3Bog\nplhqdRrcAWBQkJMBbN48+31oKMTHl1rVjDHmrGAZQGOMMSZwFTUAbALMcb1Wn3FHgAtOu0anyd0E\nNCLCCQYvucR53727Nf80xhjInQG0ANAYY4wJHEUNAPcDDfIY1xzYdXrVOX3uDGBEhBMMHjvmvG/T\nxoI/Y4yB7IDPnQG0JqDGGGNM4ChqAPge8HcRudJrmIpII5z7/71dbDU7Rd4B4MmT2QHg0aM5y1nP\noMaYQOXdBNQygMYYY0xgKWovoI8BzYBvgT9cw+bhdAozH3im+Kp2arybgB4+DCkpznv3M8Dy5dC5\ns9MxTGioNQ01xgQW7yaglgE0xhhjAktRbwSfBvQWka5AV6Aa8CewUFW/PgP1KzLvDOD+/dkZQO8A\ncO7c7B9A7p5BLQA0xgQKywAaY4wxgavI9wEEUNWFwMKiTicirwO9gf2q2sLP+HicjOKvrkEfqerf\ni7IM7wxgWpr/DGDTpu7lWc+gxpjAYxlAY4wxJnAV9T6AS0XkGRG5SkQqncLyZgFXFVBmqarGuB5F\nCv4g72sAvQPAiy92njt3tuafxpjAYxlAY4wxJnAVtROYNUAv4DPgoIj8JCLTRGSgiNQsaGJVXYLT\nZPSMcQeAFSvm7AXUOwA8fNh5jo624M8YE3gsA2iMMcYEriIFgKo6VlVjgKpAP+AroDUwG9gjIluL\noU5xIrJWRL4UkeZ5FRKRkSKyUkRWJiUleYb73gfQXxNQdwCYnFwMtTXGmHOMZQCNMcaYwHWq1wAm\ni8gCIAU4jnNT+DjgwtOsz2rgElVNEZFewH+BhnnU4VXgVYDWrVt7bkp/8qTzj3Z4eN4BoDvwO3Lk\nNGtrjDHnIO/7AIaEWAbQGGOMCSRFvQawt4g8JyIJQDLwPhADfAC0ASqfTmVU9YiqprhefwGEiEi1\noszj5EmnY5ewMOe9O9vnLwNoAaAxJhC5Az53E1DLABpjjDGBo6gZwE+AE8BrwK2qurE4K+O6jnCf\nqqqItMUJUA8WZR5paU4AGBrqvP/TdcXh0aOg6vT8aU1AjTGBzDcD6G46b4wxxpiyr6gB4HNAB2Ak\nMFhElgNLXI/VqpqV38Qi8i4QD1QTkd3ARCAEQFVnAAOAO0QkAyfQHKSqmsfs/Dp50sn+uTOA7gAw\nKwtSU6F8eWsCaowJbL6dwFgG0BhjjAkcRb0R/AQAEQnDuebvSpzbOjwOqIgkqOrV+Uw/uID5vwS8\nVJQ6+XI3AfXNAILTDLR8eWsCaowJbNYJjDHGGBO4inobCABUNQ3nlhDuxxYgAuhRfFU7Ne4moO4M\nYFqaE/RB9nWA1gTUGBPI7DYQxhhjTOAqaicwg0RkuoisAw4AHwPdgGXAQKBW8VexaNxNQN0ZQIAL\nXX2TugNAd+CXkgKZmSVbP2OMKW0ZGc710MHBlgE0xhhjAk1RrwGcBfyIcyP4B4EEVT2rGlL69gIK\nULMmJCbmzgCCM+z880u0isYYU6rS053MH1gG0BhjjAk0RQ0Az3c1/zxr+fYCCrkzgIcPO0FfcrLz\nsADQGBNIMjKczB9YBtAYY4wJNEXtBCYNQEQuwukE5gLgT2CFqv5e/NUrvBUrYPFiSEqCChVyZgC9\nA8CMDDh2DCIj4eefrSMYY0zgSU/PDgAtA2iMMcYEliIFgCISDLwI3A4Ee43KFJFXgbEF3QriTDh2\nDOLjs3/EtGyZMwNYs6bznJKSff3fxRdbAGiMCUwZGdlNQC0DaIwxxgSWovYC+gQwAngYqAeUdz0/\n7Br+ePFVrfCOHnWu/cvKch5HjvjPAB49mn3938UXO8/WE6gxJtBYBtAYY4wJXEW9BvBm4FFVnew1\nbBfwvIgocDfwt+KqXGFFRGS/FnEyfoXJAIJlAI0xgccygMYYY0zgKmoAWANYl8e4da7xJa5CBecR\nGuoEgzVr5swAVq/uBIYpKbkzgEUJAN3XGcbHQ1xccdXeGGNKlmUAjTHGmMBV1ABwCzAImO9n3CBg\n82nX6BRlZUFqqtOjp+99ACtWdB7+AkDvJqD5BXgrVkCXLtn3GVy40IJAY8y5yfs2EJYBNMYYYwJL\nUQPAp4D3RORi4ENgH07WbyDQGScILBVpaU4QmJSU+z6A3gGgO+CrXdvJCrozgEuWOAGeqv8Ab/Fi\nJ8AEJwhcvNgCQGPMucn7NhDlymVfPx1U1KvCjTHGGHPOKdLXvaq+D/QEKgL/BOYC04DzgKtU9YNi\nr2Gh6uX8eAGnR1Df+wBWqJA7A1ilClSqlB0AzpkDmZnOfNwBnrf4+OzXoaE53xtjzLnENwMI1gzU\nGGOMCRSFygCKSHmgF06Pn38A1wJJQDXgQGnc+sGbas73YWE5M4C+AaCIE/xVqpSdEaxSJbu8vwCv\ncePs12+8Ydk/Y8y5y/dG8OAEhd5/nBljjDGmbCowABSRBsACnODPLRm4QVX9XQtY4rZs2QzEe97P\nnQsXX3w9cCdwnD59erFjB/z6K6xe7TRzeuut4VSqNJykpAPExw9g+3Zn2pAQaNIEdu26g7i4G/jt\nt9+46aabclwr+OSTcN55D/CXv/yFzZs3M2rUqFx1evTRR+nWrRtr1qzh3nvvzTX+mWee4YorriAh\nIYGHH3441/ipU6cSExPDggULeOqpp3KNnzlzJo0bN+bTTz/lhRdeyDV+9uzZ1K1blzlz5vDKK6/k\nGv/hhx9SrVo1Zs2axaxZs3KN/+KLLzjvvPN4+eWXef/993ONX+xKkU6ePJnPPvssx7jy5cvz5Zdf\nAvDkk0+ycOHCHOOrVq3K3LlzAZgwYQIrVqzIMb5OnTr85z//AeDee+9lzZo1OcY3atSIV199FYCR\nI0eyZcuWHONjYmKYOnUqADfeeCO7d+/OMT4uLo5JkyYB0L9/fw4ePJhjfNeuXXnssccAuPrqqzlx\n4kSO8b179+avf/0rAPF+UsHXX389d955J8ePH6dXr165xg8fPpzhw4dz4MABBgwYkGv8HXfcwQ03\nZB97vh54wI49sGPvdI69Y8cOsGXLAOLjwV3Fnj1h7Fg79uzYs/OeHXt27Hnzd+wdOeIkFCpXhn/8\nw449sGPvbDzv5acwGcB/AFlAB2AVUB94GZjpen3WEclu3hQa6rwPDnb+4fbu/vz88517A4rA8ePO\nsIwMpyfRLVtg0iRo2tQZ7h4PTjNTY8qqtWvhyy+dzLk587x/SJSUQ4ecpu5HjjjXT7vrYYwxJn9H\njsCaNU7rMxH45z+d78vy5Uu7ZsYUnqhv+0nfAiJ7gAdU9T2vYY2AjUAdVd17ZqtYsKio1vrzzys9\n7598Eh55xAn6qlSBgwfh+uvh55+dppw7dsC6dXD11c64H35wegVNSnI6ennnHRgxIrtJ1MKF8P77\nMHOmc0uJK66Ad98txRU25gxZsQK6dnWCA/exn1dzZ7styulz9y6cmgrh4fDNN2duW7r3V9WqMHq0\n8+MlNNS57jkj48wv3xhjyoJJk8A3kVeuHEyfDiNHlk6djHETkVWq2rqgcoXJANYCdvgM2w4IUBMo\ndAAoIq8DvYH9qtrCz3jB6VymF3AcGK6qqwuab5bPFYjurF9oqHPtHzhZvZQU2LXLyfqtWOFcA/jr\nr86/Ob/9Bv37O81HP/88d4+fGzc62cCaNeGXXwq7xme3c/kHvPeP2YMHT38dimNbfPNN9g/6ws7D\nd7lffQWrVkHnzsW/Twq6zcnixbBzJ7hbQOTX2607UExL899r7rl2bJVWfRcvzs7ApaWdud6FExKc\n4zIjwzk3uv/38779g7/97e9z5q73ubJvTbZz7XNZUoq6Xc6m7ViY8/rZUM+y4JNPnOSBv2ulMzLg\nrrsgMrJ4tvXSpbBsWeH2ne9+Lux+X7DASYCcqd8b33xTtN9DpakkzgHF/bv1dBX2NhD5pwkLbxbw\nEvBWHuOvBhq6Hu2AV1zP+VfOp3buD2dYWHYztqNHYe/e7OtdunaFbt2c4G/DBmeYOwDcvz97XiEh\nzk565RXo1Alq1XI+NN5NSd1K42Trb5n51SMhAb791jkA77knZ5azKJmexYud7XDNNaefITqVD547\nawLONZ0F3ZuxoC/JTp2yt8WIEXDzzdnrWZh6LVvmHE/urIp7Hv72SWamsw+qV3f2QVqak30ZOxb+\n8Q/nB3p4OEyd6pwkiuNk4b2O5cvn3FYrVjhfAL73gsvKcgLCFStyr0degeKKFc5n5e23nenLl89e\nj7P1B8rnn8O11+a+BcyKFfCW60zlvS8Lo7DrFR+fHZCpwvff59ze/ixb5vxR0KtX4er0+ecwfHh2\noCniPAcFOecwEWdcUJBTH+8vqbvvzp7OXR6c819R74d6KucDKJ0ft2dq3oU9X3/9tbOfr7oq7z9g\nCrNdIOfrLl0Kd84/nfUpzLjiUhzLcJ//Tp50zrt5/ZnlPg+7vzuLck/gM3k85VX3FSuc5eX1WS1K\nnU61/qV9fvc+h8fGFu57NK/P6Pjxzu3CIPs8OHiw0zosM9N5n5mZ/5+mhf3MPvmkcxmG+7eA7371\nns+0aXDffTm/b8eOzd7v/r5/ExJgwgRnfXyXcTqf6eXLnd821arBmDHOuSY4GG67DYYNK3pgBdmv\nVWHePOjbt2hBbmF4/wby91n59ltnm7mX5f2Hqu+5NK8/Td96C15/3fmsQuF+t+a1XQr6nQsRhbuA\nR1XzfeBc//cnsN/n4Xd4IeZXD1ifx7iZwGCv95uBWgXNs2nTVgqqlSo5P6NefllVVbVaNdU2bVQT\nElTLlXP/xHIewcGqUVGqISGqEyY4w7ZtU61XT1Uku9wTT6gmJzuvn35addYs5/V99znzdUtIUA0P\nd8aFh2ePW75c9cEHs98nJKg+80zuaZ95RnXmzOxx/sr5Wr7cqb+Iamio6ujRqtOnO+sqolq+fM7p\nP/ooe7281zE42FmWb/0SElRvuSV7fiEhqn36qPbunT19uXKqffuqjhqVcx2vv96Zb3CwUw/vdfNd\nh7Cw7HJTpqhOnJiz/MKFzn5w16lt25z70r0Oo0f737aDB6sGBTl1LlfOmbe3ceNyzsu9Pd3b1ns7\n+u4X9/sePXLXyb2sRYuc+gUFOfP13na+6+B+HRSUe7x33X33U0HHyqOP5py3u/wzz6jecEPuurvr\nGBSUvf7uYzwoyHl419s9PizM/7y8j1F32ZEjnW3s3i59+2aP9/1s+Fu35cudz6S/cfl9zryHLVvm\nnCe81+W221SvuirnZ6Rcudx187ZsmXMe8d1Ovvts9Oic8zl2zNkGTZtmL8t7O/lbL/dxEhKSf50S\nElT79/d/XAYH5/xMXXKJarNmqkuXOuP9HX/5nTd898t996lOmqT65JPO+nfpkvO49/0Mus2Zk318\nhYY6y3AfO1dfrXrTTdnnhJCQ7PNGfvvZvd1Hjsw+r8ycmXtfuMvedlv28e1vX+T32fO3j92WLs0+\nD3l/przPMzNnqt58c8595T63en9PlC+fvY1Gj1Z95ZXsceHhzvzc5xz3vG+6qeBzvu86+jtvu9ex\ne/fsz7b3OX7mTNVevbK3YX77Oy/+tqPvsMWLcx5TDz6Y97nCe31uvdXZFu76jhqV8xjv0SPn93d+\n5+WgoOzy/o6LmTNzfoeeyrbwt03cde/SJXfd3cf2pZfmvb+vvTb7c+b7/TZ6dO7v89DQnOccf58f\nf58F9/ed93ovWuR8FvM7d+W1/7znPWKE81nJ6/j4z3/8n798zxfe0/btm/2d5P0Z9XcuvOgiZ9qZ\nM51p3MOHDs2e/5Il2cdBWFj2fN377/nnnfOa+/gICsp5vPn+tvH+fIeGqsbH516/Vq1yDvM+n44a\n5czD328P9/YNDc1dz4QE1QUL/J9zExJUb79dtWXLnOct3+3lb7u7p3/8ced5yZKcvwncdQkNzZ5n\nWJjqjBk595P3uSe/7/28zmvevwF9PyvduuU8dmbOVG3UKOc2Hz06u7z3byD3fvL3u8jftPl9r7h/\nU+T1e3TRouzvTGiZqZp/3KSqhboGcGKhIsnsgPKJAuZXD/hM/TcB/Qx4VlWXud4vBB5S1ZV+yo4E\nRgKENGjYKn3sHCpUhGMp0Kgx3BNVg4kxtalQNZOTf1/H3t9zTh+8oCb8rxaZFU7CE7+AQEwM7Nju\nZAUbrK/NoY9q0G1IKmuv2ciWzVC/AYSGwObNIB/WJXx1NV7/+jgzztvMrl1Oc1K3EaGX0K7cBYye\nfBS9cxsAlatA8mFQIPStBrw46nzmbUvmi9o78M6xigDTL4NtEYRc/if1Ht1JahqEhTr/OFSuDOOC\nG/Pg4PPYXfcAXP9b7g39TFPkQDiRd+8nuN8eANav98ryTGwOR0Kh517k6j9o2BCOHIU//gAUgh6J\nQk8Eo332QPz+3PO/L9Z5vn4XxGX3qlS5ChzeFwwPRTkDbkqElodyrFvNCiFcu6oFN98Mt67YwcYg\nry5WAZLC4Jlmzk2px2wlq35K9nYB9Lfz4IXGTubk/s1Q57jzGqfuwYkVealJQ+bNg69abUCrpeWY\nfdCm81k2rAFxcdB5yXq+35hOjo6fVleB2fWc18+ug7BMqlRx/l37fS/IiqqEf3IxDzwAT1X9Kfe2\nWVwD5tWGsEx4bh1VqsChP73G/68mfFULKrmOPV+f1IZFNaB6Kjy8Mec4gVGV6/LvW6uRVfs43L/Z\n2Sbq/KN02WVwxY5LuDzkAtanHmV5jHPsbd0GKUdd8/h3A3rXP58vdyWTeYtv627gpcuQHRFo7J9w\n004QJ/N95Ijz+eL/GsNv50Fc9rFXp66TZU8+DDzTFJLCofN+6LMn1+yDn2yOHg4lq/teuOqPXOOD\nHonipoHBnLx6D+/9sR9VZ71rXuhk9G9dH0vVqnDHol1ktTvoHFO1IDwM0o8FU++VKJYvB70xEWl1\niAuqOp+b5GQgOYTQp1swYgQkdt/BV78lk+MU6Dr2ALhrK1yWkrPue89jad/GxMXBtUs28/Oh4xw/\nDvv2uXbPjoo0/KohW2nm510AAB8ZSURBVLYAD2+A6mkgUCnC1cnKL+fDvxsQHAwXv7GeoMrpbN8O\nF9aEfX/gOfZEgOfWcUGtTEJDnXWvVAn2zK3KtqcvdhY2xTn23Ps9PR2uq1qDyVfWZvKLmYzLXJd7\n3/6vJhWX1yK640nKPZV97O341WkGf/m+2nw3KY9jD+D9urCiGtQ9Dg9spmpV5x/QiIrO8mPWX8J/\nH7sAbXAUxmzLPf2/G8Av5xMcnUzUP3d47sV6+LDzr/reRy8jZU0EtHQde77+rzGy+zzKdTxAet/s\n817Vas427vZjU16bFE5Wp/3ItXu4wPUvrOf86nXe8xx7ruM7oiLsHBJFWnIwXOtz3hOoWwd6/i+W\nN9+EjOt2oXEHPfMNCoImDYLZ0i/KuZ/iTYnQ6hAX1nAuQ8jKgpTfQ0i60/nak5E7qNcrmZPpsMfd\nad2BMMo918yZ3ufYEwF2n4dObkxwMGTe65z3cthWEXm5oXM8u489L1X3nc/BZxs4b55YT6PW6VSo\nAD+tcbZP8Noq9DpYj0OHYNlf1kFoZo71739RVcbWuJiuXSFzcu7zniypgX7sOu89m/vY65RakyEX\n1CLhl5PMb/+L55gJCYGjKdB8W23+3rkG25JTuXmT17Enzr/ph2bUJWu5c+zJA5updL7rfOM2+xLk\npwsIbXaUZtOdY++Pfc4/7gcPAv9yjj2aJ8NtO3LMHwVeugy2R0CrPwm6eSfR0fD779mfbX/nPe95\nBD/XFN0Xjnbej/bOfd5zH3tBvfYS/eAfOY79ypVh2ZVRnBcczF+X7eGjg/upXDn7XsW7dsGh4bHO\n5S4+37kApAXDeP/fuQBBKSEs6+oce+1n7UCben3nCjQ8P4x2C5vx7ruQOdp17Lk+FydOwOGfne9c\nAB7wOfYEaqZUZP/fso+9OrFpHDiQ3UqEX84n5M0GPPcc3H90PVRK90xbqyb0vqgKr3aoB0Dct+vY\ndziTciGQ4To+tr9dlcx3LiY8HC6a8xM7vL+2BJon1WDTs7XJLOc69sS1W92fe5/v3IgIqBjhnFcB\n1j1Vm8wFuc97ERFOVu/4LK/znus7F4HYGGcf/X979x9uR1Xfe/z9PT8SAREESoEkEggxJW1R9JjH\n2FuoFaM+9IEUaW+0tFDhek+viKL3VhGNXr0NUq/i41PuBQQRf/FDSm1UvIhBtDSCCSg/AmIi5UdC\nCElIIAIhyTnf+8eayV57nZk9e58f+/zYn9fz7OecPXvtmbVn1qxZ35k1a0574UhWXXYQ3/hZqPe6\nuuDwI2r7dvfVRzNwX0HZy+Vlr6Tes0tC2bM3bWHw9OL2Xn7M7f7zDXuvSO5VVO/F8//YcVz2xW6+\n9fwGfmL19R4O+3zseF79arh3Xq3sHX4EHPRKWHNP47LHc73wyVD2jvqHRzjwj0LZ27Y9bN/1vwjH\n3O5u6PngWl6aWX/MZf2+2BfmhW2Zlb19940GZvzNy+m5bG6oN7N6r6sLXvOa8PG91x6AX3E0XV0w\n8MkHYP9aVyczmPfCK3nun2bz5JPsbe8dfkQ4HqxdC77yYLih/phb5/ZD6f7eDM7qH+CmBffVt/UA\nbgmxRll7r+t7M3gzh7Li/p1wwUO1dq6H/C14bBbP33oIDzxbK3v77w/Tpmf12tePZJ8HD2LGiTtY\n97bsmHv+Oe5+d+Vz3iu7gFYFdOPF3a8ArgDYd9583024jP38b6HLQoNm61bYsgNsI1hXtkIJjcV5\nfww//UE8Q7j3l7V2wmOPw4nHh26O2+aGaY8+Cr+bVRg+GLogXnIJPLmkfpRQCJfCr74W/OjatO3R\nfrHrJfi7v4PBY4Fz0t9GuL7q4QCZjHoLBu/+ArAemNVoHYX+6nvHak1ifTPo7oXuafDrtfWfDw4M\nTd+M7dsaf88dNj4Jl10GV10Fg2cD84rTDg4CA/XfzXV1hS6X294AqzZm3eiye0EH9oR1C8DrCuY7\nAB/5CJxxBvz0aRh8OXsbGckIwXtt2xZeeT5efBGWLQOSEZkPPgSe6YpWgde60I0Kh+98J+ty4tRv\ns8FQVn79dfjqPcAc4P217wHhJAnwve8Bv1+Q92fAuqGnFwZ6stWfbbNG1ifHpN5eeNWccLNwamAP\noXyXGByAa64BtlN7uotnJycIN9/39MDgadlHcf5egvV31OblDlu31M9/165Q/hgA5jf+XUPyPgAf\n/GDovvv93wNm1n/ugwX7qw8dYXNgIDthdABgoULf/HRtteR1QJ73pzbC/q+A59YOzdNgtMwvfg1+\n/jH4t58Dn61P19UFdId7oefMgbiZceAB8MTjYWS7OlkjsKc7BIgQuvQcNhM2ROs2vxH8P26iqXpj\ncCA0fKE2mh4AO0q/spc77N5VP23rlvD68hXsXYlF2754hqH8bDRgZ3maJ56AK6+svU/3vYcfzsp2\n9J1Nm6IA4rn67r7P7YAdz9Wn3xN/P/4oWt6Qxl2arsTWreEk5333hVW0di288qD6+X73u1niP0tn\nDDf9M6y4pXz5VU8D/snt8JNbgFcARw0dPGDjj+C2T0DvEcCH65e9dQt1dYYX7FP59N27w60emzc3\nzk88fzOYdyz86jfh/WBW32wpOR5AOBm1d0Rwj+q1ivVQV/bvDevNDM77Nhy8H1yyFgZPCNMOjE8e\nDvNpy5bVL1/7Wuha7G9OEngoC2u/MXR6Vb2fp3tqY5Q/r9UVsd274VOfYsi23bgRrrwZ9lwd6qg7\n5wLTky9n+8XOnaFtly5/zQOE+rynNq1RNbRjR+22oN6e8jK9I6qPurqArvrNsH17CADnHwvPzwfu\nDNMHB2FDdA6g0T5bKj8xQW3/b7SPdWV5a2lZVpvv+98P0/8SeH30ebb8F18Mo4PHbbWnNob2QtX8\n956cJzvm7UfhxhkYgIGS+jet1+ra2wX15uBgaK8//3ytLTtQ0KZ1h189BDwZ1t/L9oMX9mTHg4qf\nlub9qiuBY4oyn/3N1sVhh2cnpbbU8rrix8DvDP2t7nDXncAD1LX1d+ygdqzM2qPr1gJvayHTYQHV\nlwlH88UYdAGdOzd0AT3//HBoXbIkXFaNL+mm3QNXrgyXUuMuTXl3lvw7p51WfCk+vtyfvtLL92P9\nMgtdIuPlmrnPmlWePu76sXhx9TK6u2tdI/Jpvb1Dp6XLaXZdxN0Jm31Nn167VF71/bwLSpqfou5s\n/f313R+POaY+XdXvyLsX5Oulu9t95kz3V72qfr6zZ9d/L+9akXe/y6cvWhS6NuXdxIry3uyrq6vW\nnaEs72k3hLhrYlze8m67edeVNE3eDSfvqtbdPfQ3lJWtVsv/SPehvFtXXI7yrhuLF4dX3gWqlXzl\n3e+aSZ93Lenvb35Zze5feb11+eW17+T7T27btlr6446rrweXLQuv/Lvd3UO7HlVtn3wdx/Mo66Ia\nr7N8GxSVj+Fu+2a+l9dvo12fd3W5z507dFpfX/Hyq/aLvJtn+vvyfTTtUpaW8333Hdm67O11nzev\n+Hfm23s09tFGvz9dhlntd7VSJvJu/2k5ybt/x8fKfJ8q6urWzLo4+eRwO8VIfnu8b+XdzNKyMH16\n6M5elqfhrO9Wjtd5PThW27+Zdb9gQa3+O+GE6u/09oZbh9LpeffaffYp73q+zz6N81I037h8xN26\n+/sb1z952Y/Tx/PM2xR5HZq2ERctCt8pqj8aLbMo//G66+urP37095e3OxqV63zehx5avPy07dFq\nPVPUbinKZ16HpsvK97mi5ZqFdX7yyfX5jW8HSeOPZl7HHNP489o+/XpvKh6bYAHgycAPQqzMG4Gf\nNzPPOXNCAPihD9U2WL5xinbUeIft76+lS79z0UX1KzdvNMVBQtGGL2rk5jtjURCS78CLF9dX6ocd\nVl1oe3tDnvKgI+4TnVbw6b0aK1e6X3jh0LwuXlw7mFTdwxT3nY/XY17h5pVlo4ZcWlkVrYs5c2rv\n437Ty5bVB0xHHz3098T3nS1aVHxAigPKuIKP77fJlx037NOAOl4vr31t7b7QD3ygeL7pPZJlB5i8\nn33cKInXT9qALCsr8fzjg07ZPvKJTxSXt6L7kfK8lPVRj/e3srKVl6OifajoQBWX1TSfZSctig6E\naVktuu8rvd8mzUu8n8cBXbxf5AFl+hvT+w4anWiK9+OFC8vzlB504n0lvX9v5cpaforqzqL9Ig1U\n430ivicrvbf5xBNDure+tbguiIOU+N6Uonom3vbx8uNtEd9fmt4DWLQt4volr1fTxnZc7uKylzc4\ny8plV1fxfTtxvRQvPz0hFZ98ieuN/CRReu9SflIr3j/zdHEZKdpX+vuLTz7FjeqVK92XLq1f94sX\nl+/zVXVU2XqMt2N8D3h6f1RRPRj/nvjetcsvr1/v+bzy8hnnJf89ad0cH3fTcpHel5jfX9pof21U\nv5SV46L7m+LjdHqPOxQ3/tOTXvE2K7rXKt0f0yA3/k68r6fbtlEjeDjlI55WFKQVnWBLy3SaLj5h\nVnTPbNlxIq3j+/trx8ui8lF0kSL+bUX7flH6os/TNmJcr6f7d1x3xvtU/lnRSbp43aX7Sdl9lGX1\ndfw7//Zv69PGdU1c1hYtqm83xt+J74OM64G4zps+fWi7uap9UFS/xeu36pgbtw/Se40XLCjOX1wu\ne3tDunidhM8mYAAIXEu4srqb0IHxbKAf6M8+N+BSQs+x+4G+ZuZ79NEhADzvvKFnHqoGx0h36Pj/\neOOlN2umQUHcOEgDoaIGc1FDM91x3vOeoQfWsgZ0UcWUHpyKbrqOf0vZICPNKvpOUaWWHjiarczK\nAqOygK3ohvuyK7/5ti3Lc3ywLQve0nV13XW1ZXzzm+XzLdomRdPjqzDp1eqiA0t+NanRtq3azmXl\noyi/ZeuhLH2jZcYVY7yO4wo+Dg7KBvYoOmlRdCBsNl9p5Rs3xsrWZ9m09DcWlYOykytp+Y+vsjYK\nYsvOXqcHqrIBlcoGPGl0E37qX/+1uBGQBw6NzrKn+SjaN1sZHKmZbVFWvovq9KLylAZn6UE8P7A3\nU781+l2Npqf11aJFxftR2cA4Veun0fZK11VRmSk6JpTtl42Wt3RpeaO+bNun81q2rP74kJ/0KlvH\nzdbr7vX7WfyKT3AVNYhbGTCl6DcWBTPxb2802FHVPt1of6zaZnHZin9/fAwrO0HfyjZJ89uovKXp\nWl336XotOpnWbNuqlbI13M8bHW/TctKo/qhaTlF7tKy+Tv8vWp+NTlSWnbhoZhsPp33Qarkv+25R\nXV/VpilaP/C6QW8idqocBGYyOOqoPn/00dXccEMYaraZh1g3o9FDsYuGhm72OVmtDAdctPzRHr55\nvIZqrlpus8+2afUZOPnQ0FdfXTyM72jkHeCHP4S3ZX2y00cvDEdcHru7Q3/yOP/Q2iNBWlnuRCkf\nrTyovtV5N/u94T4aYiT5GM6w/63UPaO1Xptx0UXw8Y/Xnt/azFDn7TCSZQ6nLkvLUbP123AULb/V\n7d2ORz6MdH8Yjd8VP+O0q2t0H+4dz3twsDYUfNEjf2B0h7kvqrfauZ81U36KHnnUSv02mnkarfnC\n+D/qqBmt7N/DPV6MxuNEoPG6HY1n7Y32Iyba+bgVgDe9aeYG9/UzG30HmBoB4OzZff7YY6t5/PFw\n8/dkqCAmy/KnsrFetxddBBdeGM67dneHZ/tccMHI5jkZDyyjTfvE2GjXek1PZKTPzJT2mKr70UQ/\n6TXRHgYtMhxTtf6YCszsbnfvq0w3FQLAI4/s88cfX82mTXDooeOdG5GgnVdVRCYTNR5ERERGX7MB\nYOVjICaDvCvR9HToYJFxtHBhCPrU0BWpt3Ch9gcREZHxMiUCwPwi5rRp45sPkZQauiIiIiIykVQ+\nKX4y0BVAERERERGRalMiAHSHnp4wopaIiIiIiIgUmxIhk7uu/omIiIiIiFSZEgHg4KACQBERERER\nkSpTIgB01wAwIiIiIiIiVaZMAKgrgCIiIiIiIo1NiQBQXUBFRERERESqTYkAUFcARUREREREqk2J\nAHBwUPcAioiIiIiIVJkSAaCuAIqIiIiIiFRTACgiIiIiItIhpkQAqEFgREREREREqrU9ADSzt5vZ\nw2a2zsw+WvD5WWa22cx+mb3OqZqnrgCKiIiIiIhU62nnwsysG7gUeCuwHlhlZsvd/cEk6fXufm6z\n89WD4EVERERERKq1+wrgAmCduz/i7ruA64BTRzpTdQEVERERERGp1u4AcAbwRPR+fTYt9U4zu8/M\nbjSzWUUzMrP3mtlqM1s9MDCoAFBERERERKTCRBwE5rvAbHc/DrgVuKYokbtf4e597t5n1qUAUERE\nREREpEK7A8ANQHxFb2Y2bS933+ruL2VvrwReXzVTdQEVERERERGp1u4AcBUw18yOMrNpwBJgeZzA\nzA6P3p4CPFQ1Uw0CIyIiIiIiUq2to4C6+x4zOxe4BegGvuLua8zs08Bqd18OnGdmpwB7gGeAs6rn\nqyuAIiIiIiIiVdoaAAK4+83Azcm0pdH/FwAXtDpfBYAiIiIiIiKNTcRBYIZFAaCIiIiIiEhjUyYA\n1D2AIiIiIiIijU2ZAFBXAEVERERERBpTACgiIiIiItIhFACKiIiIiIh0CAWAIiIiIiIiHWLKBIAa\nBEZERERERKSxKRMA6gqgiIiIiIhIYwoARUREREREOoQCQBERERERkQ6hAFBERERERKRDTJkAUIPA\niIiIiIiINDZlAkBdARQREREREWlMAaCIiIiIiEiHUAAoIiIiIiLSIRQAioiIiIiIdIi2B4Bm9nYz\ne9jM1pnZRws+n25m12ef32Vms5uZrwaBERERERERaaytAaCZdQOXAu8A5gPvMrP5SbKzgW3ufgxw\nCXBxM/O+++7RzKmIiIiIiMjU0+4rgAuAde7+iLvvAq4DTk3SnApck/1/I/AWM7OqGZ90EvzsZ6Oa\nVxERERERkSml3QHgDOCJ6P36bFphGnffAzwLHJzOyMzea2arzWw1wK5dcPvtY5FlERERERGRqWHS\nDgLj7le4e5+790G4B/BP/mScMyUiIiIiIjKBtTsA3ADMit7PzKYVpjGzHuAAYGujmc6YAStWwMKF\no5hTERERERGRKabdAeAqYK6ZHWVm04AlwPIkzXLgzOz/04Hb3N0bzfSwwxT8iYiIiIiIVOlp58Lc\nfY+ZnQvcAnQDX3H3NWb2aWC1uy8HrgK+bmbrgGcIQaKIiIiIiIiMUFsDQAB3vxm4OZm2NPp/J/AX\n7c6XiIiIiIjIVDdpB4ERERERERGR1igAFBERERER6RBWMb7KpGBmO4CHxzsfIiUOAbaMdyZESqh8\nykSlsikTmcqnTERHuvvvVCVq+z2AY+Th/HmAIhONma1W+ZSJSuVTJiqVTZnIVD5lMlMXUBERERER\nkQ6hAFBERERERKRDTJUA8IrxzoBIAyqfMpGpfMpEpbIpE5nKp0xaU2IQGBEREREREak2Va4AioiI\niIiISIVJFQCa2dvN7GEzW2dmHy34fLqZXZ99fpeZzW5/LqVTNVE+TzCze8xsj5mdPh55lM7URNn8\nkJk9aGb3mdkKMztyPPIpnamJ8tlvZveb2S/N7A4zmz8e+ZTOVFU+o3TvNDM3M40MKhPepAkAzawb\nuBR4BzAfeFfBQeBsYJu7HwNcAlzc3lxKp2qyfD4OnAV8q725k07WZNn8BdDn7scBNwL/2N5cSqdq\nsnx+y93/0N1fSyibX2hzNqVDNVk+MbP9gQ8Ad7U3hyLDM2kCQGABsM7dH3H3XcB1wKlJmlOBa7L/\nbwTeYmbWxjxK56osn+7+qLvfBwyORwalYzVTNn/s7i9kb+8EZrY5j9K5mimfz0Vv9wM0eIG0SzNt\nT4DPEC467Gxn5kSGazIFgDOAJ6L367NphWncfQ/wLHBwW3Inna6Z8ikyHlotm2cDPxjTHInUNFU+\nzex9ZvYbwhXA89qUN5HK8mlmrwNmufv325kxkZGYTAGgiIiMITM7A+gDPjfeeRGJuful7j4H+Ajw\n8fHOjwiAmXURuiR/eLzzItKKyRQAbgBmRe9nZtMK05hZD3AAsLUtuZNO10z5FBkPTZVNMzsJuBA4\nxd1falPeRFqtO68DFo9pjkRqqsrn/sAfALeb2aPAG4HlGghGJrrJFACuAuaa2VFmNg1YAixP0iwH\nzsz+Px24zfWgQ2mPZsqnyHioLJtmdjxwOSH4e3oc8iidq5nyOTd6ezKwto35k87WsHy6+7Pufoi7\nz3b32YR7qE9x99Xjk12R5kyaADC7p+9c4BbgIeAGd19jZp82s1OyZFcBB5vZOuBDQOlwvSKjqZny\naWZvMLP1wF8Al5vZmvHLsXSKJuvOzwEvB76dDbWvkxfSFk2Wz3PNbI2Z/ZJwbD+zZHYio6rJ8iky\n6ZgukImIiIiIiHSGSXMFUEREREREREZGAaCIiIiIiEiHUAAoIiIiIiLSIRQAioiIiIiIdAgFgCIi\nIiIiIh1CAaCIiAyLmX3KzLzg9aPxzttkZmZ/b2a3Ru/PydbrywrS/i8ze2oUl93f6vD2ZrafmW0x\ns4WjlQ8RERk7PeOdARERmdSeBd5eME2Gwcz2B/4e+M/jlIV+YDXJw9gbcffnzexS4DPASWOVMRER\nGR0KAEVEZCT2uPudzSY2s33c/cWxzNAkdwbwW3df0c6FjsJ2+Sqw1MyOdfeHRilbIiIyBtQFVERE\nxoSZ9WRdFz9gZl8ys83AL6LPTzOzu81sp5ltNLPPmllPMo+/NLO1Zvaimd1uZguyeZ6RLKM/+d6Q\nrpFmdqSZXW9m28zsBTP7gZnNjT4/JpvXO83sy2b2rJmtN7OlZmbJvF5jZt/P0uwwszvN7E+jzw/O\n5vF09vvuMLM3NLHazgT+uYl0paqWXbZdzOwO4DXA2VF33jOiLqjpa08+T3f/D+Ae4G9GkncRERl7\nugIoIiIjkgZtwIC7e/T+o8CPgb8GLPvOu4GvA/8XuACYC1wUpcfMFgDXAjcC7ycEJ9cPM4+HAP8O\nbALeC+wEPgbcambz3P2lKPnngW8DpwOLgP8JPADclM3r97N5PQj8V+AZoA94Vfb5y4DbgP2ADwOb\ngfcBPzKzue7+dEke9wfeAHyu5Gd0F6zrNDBtZdnpdnkM+A7wELVtsS777IE4H8A1wK4kLysJXUAv\nKMm/iIhMAAoARURkJA4GdifT3grEA8Gsd/d352/MrAv4R+Ar7n5uNvmHZrYb+KKZXezu2wgByhpg\nSRZQ/r8swPnUMPL5YWA68BZ3357lYyXwKHAWcHmU9jZ3/x/Z/7ea2TuA08gCwGz5W4ET3H1nnv/o\n+2cC84D57v5ItqzbgF8D51MeIB1P6JnzQMnnvy2ZvmmYy67bLlnaF4DNBd16N0dpvgAcCixI0twL\n9JtZr7unZUJERCYIdQEVEZGReJZw1Sp+3ZWk+X7y/lhgBnBD1h2xJ7uydRuwDzA/S7cAWJ5cTbyJ\n4TkJuAX4bbS8ZwndFvuStD9M3j8IzIze/ylwXRT8FS1rFfB4tKxB4KcFy4odlv3dUvL5HzF0XX9l\nBMtOt0slM/sr4IPAWe7+q+TjLYQTy4e0Ol8REWkfXQEUEZGR2OPuqyvSbEre5wFCGmjlZmV/fxdI\nu0sWdp9swiGEAOivCj5LBz/ZnrzfBbwMILsX8CBgY8Wy/hNDr4wCPNzge/ljHl4q+fyeNOg0szQf\nrSw73S4NmdnxwJeBi929KBDP8z3kcRUiIjJxKAAUEZGx5sn7Z7K/7wHuL0j/SPZ3E6GrYSx9PwDs\nAaYl019ZsMxfAMsKlvdcwbRC7u5m9gxweINkzwB3Eu5bTJVdNcy/B3Ag5d09q7Sy7HS7lMruofwX\n4A7gwpJkB0Z5EBGRCUoBoIiItNuDwFPAbHe/ukG6VcApZvaJqBvoaXGCLCDbQOhWCoCZdQNvSea1\nAjgVuD8Z8GU4VgBLzGxpybxWEJ6J96i7l3XnLJJfoTsKWD+CvA1n2bm9Vztz2fq8nhAwvsvdB0u+\nOxvY5O56DqSIyASmAFBERNrK3QfM7L8DV5vZgYR783YDRwN/DpyaBVYXE0aWvNbMvgocRxiwJfUv\nwHvN7F7CSJb/Bdg3SfO/gXcDt5nZPwFPEu65OxG43d1vaOEnfBL4OfATM7uEMCDM6wjBzzXA1YTR\nQW83s88TrmgeArwReMLdv1SyXtZmj2R4PfBvLeQnNqxlR34FvNnMFhGu5D0CnEu47/G/AXOjR2e4\nu8f3e/YRtpeIiExgCgBFRKTt3P2bZradMCrlOYSunL8Bvkt2/5q735k9LuIfgMWEoGsJoYtjbCkh\nyFlGuIL1JcJVxnOi5T1tZm/M5vVFQnfFjYRAq6gbaqO8P2Rmfwx8FriKMMjKGsJjJXD3F83sRMKV\nuM8Quq0+neW76hl/NwHvyPLYshEuG+DThAF6vg28gvCIiFdnn/2fJO0AWTvCzKYRgsRzERGRCc3q\nB1cTERGZuLIrhtuAv3b3b4x3fkZb9sD2lcAR7r65Kv1EYWYnA98g5DsdVEdERCYQPQZCRERkgnD3\nVYTHYbxvvPPSovOBzyv4ExGZ+BQAioiITCznE+4rnBTMbD9CV9phdVsVEZH2UhdQERERERGRDqEr\ngCIiIiIiIh1CAaCIiIiIiEiHUAAoIiIiIiLSIRQAioiIiIiIdAgFgCIiIiIiIh1CAaCIiIiIiEiH\n+P9Sp94oZVklxgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106a88dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_gst.plot_power_spectrum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "** We can extract the drift frequencies **\n",
    "\n",
    "If we have detected drift, we would probably likely like to know the frequencies of the drift. This information can be extracted from the results object as shown below. All frequencies will be in Hz if the timestamps have been provided in seconds (again, details later). Note that these are the frequencies in the drifting outcome probabilities -- they are *not* directly the frequencies of drift in, say, a Hamiltonian parameter. However, they are closely related to those frequencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.001 0.003 0.005 0.008 0.011 0.016 0.2  ]\n"
     ]
    }
   ],
   "source": [
    "print(results_gst.global_drift_frequencies)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "** Is there drift for a particular sequence? **\n",
    "\n",
    "There are individual power spectra for all of the sequences. E.g., if we are interested in whether the $G_xG_i^{128}G_y$ sequence shows signs of drift, we can plot the power spectrum:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pc8ZxhpN+gr2eHgHqdxy2My1Cfl2waJbTH/VPY8xM57lY1jqZgh0i3B+Y5KyOegMwUUo+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      "text/plain": [
       "<matplotlib.figure.Figure at 0x106a88b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The gatestring we are interested\n",
    "gstr = pygsti.objects.GateString(None,'Gx(Gi)^128Gy') \n",
    "# We hand the gatestring to the plotting function\n",
    "results_gst.plot_power_spectrum(sequence=gstr,loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "** Box-plots for GST data **\n",
    "\n",
    "If the data is from GST experiments, or anything with a GST-like structure of germs and fudicials, we can create a box-plot which shows the maximum power in the spectrum for each sequence. This maximum power is a reasonable proxy for comparing how \"drifty\" the data from the different sequences appears to be. But note that the maximum power should *not* be used to directly compare the level of drift in two different datasets with different parameters, particularly if the number of timestamps is different - because this maximum power will increase with more data, for a fixed level of drift. More on this at a later date.\n",
    "\n",
    "In the plot below we see that the amount of drift appears to be increasing with sequence length, as would be expected with gate drift. Without performing a detailed analysis, by eye it is clear that the $G_i$ gate is the most drifty, that the $G_x$ gate has some drift, and that the data looks consistent with a drift-free $G_y$ gate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# This box constructs some GST objects, needed to create any sort of boxplot with GST data\n",
    "from pygsti.construction import std1Q_XYI # The gateset used with the GST data we imported\n",
    "\n",
    "# This manually specifies the germ and fiducial structure for the imported data.\n",
    "fiducial_strs = ['{}','Gx','Gy','GxGx','GxGxGx','GyGyGy']\n",
    "germ_strs = ['Gi','Gx','Gy','GxGy','GxGyGi','GxGiGy','GxGiGi','GyGiGi','GxGxGiGy','GxGyGyGi','GxGxGyGxGyGy']\n",
    "log2maxL = 9 # log2 of the maximum germ power\n",
    "\n",
    "# Below we use the maxlength, germ and fuducial lists to create the GST structures needed for box plots.\n",
    "fiducials = [pygsti.objects.GateString(None,fs) for fs in fiducial_strs]\n",
    "germs = [pygsti.objects.GateString(None,gs) for gs in germ_strs]\n",
    "max_lengths = [2**i for i in range(0,log2maxL)]\n",
    "gssList = pygsti.construction.make_lsgst_structs(std1Q_XYI.gates, fiducials, fiducials, germs, max_lengths)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,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],k=8191&w,M=w>>>13,A=0|o[5],T=8191&A,S=A>>>13,E=0|o[6],C=8191&E,L=E>>>13,z=0|o[7],P=8191&z,I=z>>>13,O=0|o[8],D=8191&O,R=O>>>13,B=0|o[9],F=8191&B,N=B>>>13,j=0|s[0],V=8191&j,U=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],$=8191&Z,J=Z>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,V))|0)+((8191&(i=(i=Math.imul(h,U))+Math.imul(f,V)|0))<<13)|0;c=((a=Math.imul(f,U))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,V),i=(i=Math.imul(d,U))+Math.imul(g,V)|0,a=Math.imul(g,U);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,V),i=(i=Math.imul(v,U))+Math.imul(y,V)|0,a=Math.imul(y,U),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,Y)|0)|0)+((8191&(i=(i=i+Math.imul(h,X)|0)+Math.imul(f,Y)|0))<<13)|0;c=((a=a+Math.imul(f,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),i=(i=Math.imul(b,U))+Math.imul(_,V)|0,a=Math.imul(_,U),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,Y)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),i=(i=Math.imul(k,U))+Math.imul(M,V)|0,a=Math.imul(M,U),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,Y)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,Y)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,J)|0;var bt=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(T,V),i=(i=Math.imul(T,U))+Math.imul(S,V)|0,a=Math.imul(S,U),n=n+Math.imul(k,H)|0,i=(i=i+Math.imul(k,G)|0)+Math.imul(M,H)|0,a=a+Math.imul(M,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,J)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,Q)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,V),i=(i=Math.imul(C,U))+Math.imul(L,V)|0,a=Math.imul(L,U),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(k,Y)|0,i=(i=i+Math.imul(k,X)|0)+Math.imul(M,Y)|0,a=a+Math.imul(M,X)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(v,Q)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,Q)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,V),i=(i=Math.imul(P,U))+Math.imul(I,V)|0,a=Math.imul(I,U),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(k,$)|0,i=(i=i+Math.imul(k,J)|0)+Math.imul(M,$)|0,a=a+Math.imul(M,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),i=(i=Math.imul(D,U))+Math.imul(R,V)|0,a=Math.imul(R,U),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(C,Y)|0,i=(i=i+Math.imul(C,X)|0)+Math.imul(L,Y)|0,a=a+Math.imul(L,X)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(k,Q)|0,i=(i=i+Math.imul(k,tt)|0)+Math.imul(M,Q)|0,a=a+Math.imul(M,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var Mt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(F,V),i=(i=Math.imul(F,U))+Math.imul(N,V)|0,a=Math.imul(N,U),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,Y)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,i=(i=i+Math.imul(k,nt)|0)+Math.imul(M,rt)|0,a=a+Math.imul(M,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,a=a+Math.imul(g,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(F,H),i=(i=Math.imul(F,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(I,$)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(k,at)|0,i=(i=i+Math.imul(k,ot)|0)+Math.imul(M,at)|0,a=a+Math.imul(M,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,i=(i=i+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0;var Tt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(F,Y),i=(i=Math.imul(F,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,i=(i=i+Math.imul(k,ct)|0)+Math.imul(M,lt)|0,a=a+Math.imul(M,ct)|0,n=n+Math.imul(b,ht)|0,i=(i=i+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(F,$),i=(i=Math.imul(F,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,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(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,i=(i=i+Math.imul(k,ft)|0)+Math.imul(M,ht)|0,a=a+Math.imul(M,ft)|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(F,Q),i=(i=Math.imul(F,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,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(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(i=(i=i+Math.imul(k,gt)|0)+Math.imul(M,dt)|0))<<13)|0;c=((a=a+Math.imul(M,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(F,rt),i=(i=Math.imul(F,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(I,lt)|0,a=a+Math.imul(I,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,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(F,at),i=(i=Math.imul(F,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(I,ht)|0,a=a+Math.imul(I,ft)|0;var zt=(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)+(zt>>>26)|0,zt&=67108863,n=Math.imul(F,lt),i=(i=Math.imul(F,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,gt)|0)+Math.imul(I,dt)|0))<<13)|0;c=((a=a+Math.imul(I,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(F,ht),i=(i=Math.imul(F,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var It=(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)+(It>>>26)|0,It&=67108863;var Ot=(c+(n=Math.imul(F,dt))|0)+((8191&(i=(i=Math.imul(F,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]=kt,l[8]=Mt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=zt,l[16]=Pt,l[17]=It,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=f),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?f(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,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):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 h=l,f=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=h*m-f*v;v=h*v+f*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*h-c*f,f=l*f+c*h,h=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),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),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 h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,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(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new 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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0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(x,v),i(b,v),i(_,v),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(m[t])return m[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return 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n=\"d\",i=\"ax\",a=\"vv\",o=\"fp\",s=\"es\",l=\"rs\",c=\"re\",u=\"rb\",h=\"ri\",f=\"rp\",p=\"bs\",d=\"be\",g=\"bb\",m=\"bi\",v=\"bp\",y=\"rv\",x=\"Q\",b=[n,i,a,l,c,u,h,p,d,g,m];function _(t){var e=\"bruteForce\"+(t?\"Full\":\"Partial\"),r=[],_=b.slice();t||_.splice(3,0,o);var w=[\"function \"+e+\"(\"+_.join()+\"){\"];function k(e,o){var _=function(t,e,r){var o=\"bruteForce\"+(t?\"Red\":\"Blue\")+(e?\"Flip\":\"\")+(r?\"Full\":\"\"),_=[\"function \",o,\"(\",b.join(),\"){\",\"var \",s,\"=2*\",n,\";\"],w=\"for(var i=\"+l+\",\"+f+\"=\"+s+\"*\"+l+\";i<\"+c+\";++i,\"+f+\"+=\"+s+\"){var x0=\"+u+\"[\"+i+\"+\"+f+\"],x1=\"+u+\"[\"+i+\"+\"+f+\"+\"+n+\"],xi=\"+h+\"[i];\",k=\"for(var j=\"+p+\",\"+v+\"=\"+s+\"*\"+p+\";j<\"+d+\";++j,\"+v+\"+=\"+s+\"){var y0=\"+g+\"[\"+i+\"+\"+v+\"],\"+(r?\"y1=\"+g+\"[\"+i+\"+\"+v+\"+\"+n+\"],\":\"\")+\"yi=\"+m+\"[j];\";return 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n=t(\"./partition\")(\"lo<p0\",[\"p0\"]),i=8;function a(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=i[s],u=l,h=o*(l-1);u>r&&i[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=i[f];i[f]=i[p],i[p]=g}var m=a[u];a[u]=a[u-1],a[u-1]=m}}},{\"./partition\":88}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),i=[];t.indexOf(\"lo\")>=0&&i.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&i.push(\"hi=e[k+o]\");return r.push(n.replace(\"_\",i.join()).replace(\"$\",t)),Function.apply(void 0,r)};var n=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\"},{}],89:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=4*n?i(0,e-1,t):function t(e,r,h){var 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r=8*e;p.length<r&&(n.free(p),p=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,h,f,m,v,y){for(var x=0,b=2*t,_=t-1,w=b-1,k=r;k<n;++k){var M=h[k],A=b*k;p[x++]=i[A+_],p[x++]=-(M+1),p[x++]=i[A+w],p[x++]=M}for(var k=f;k<m;++k){var M=y[k]+o,T=b*k;p[x++]=v[T+_],p[x++]=-M,p[x++]=v[T+w],p[x++]=M}var S=x>>>1;a(p,S);for(var E=0,C=0,k=0;k<S;++k){var L=0|p[2*k+1];if(L>=o)d(c,u,C--,L=L-o|0);else if(L>=0)d(s,l,E--,L);else if(L<=-o){L=-L-o|0;for(var z=0;z<E;++z){var P=e(s[z],L);if(void 0!==P)return P}g(c,u,C++,L)}else{L=-L-1|0;for(var z=0;z<C;++z){var P=e(L,c[z]);if(void 0!==P)return P}g(s,l,E++,L)}}},sweepComplete:function(t,e,r,n,i,o,m,v,y,x){for(var b=0,_=2*t,w=t-1,k=_-1,M=r;M<n;++M){var A=o[M]+1<<1,T=_*M;p[b++]=i[T+w],p[b++]=-A,p[b++]=i[T+k],p[b++]=A}for(var M=m;M<v;++M){var A=x[M]+1<<1,S=_*M;p[b++]=y[S+w],p[b++]=1|-A,p[b++]=y[S+k],p[b++]=1|A}var E=b>>>1;a(p,E);for(var C=0,L=0,z=0,M=0;M<E;++M){var P=0|p[2*M+1],I=1&P;if(M<E-1&&P>>1==p[2*M+3]>>1&&(I=2,M+=1),P<0){for(var O=-(P>>1)-1,D=0;D<z;++D){var R=e(h[D],O);if(void 0!==R)return R}if(0!==I)for(var D=0;D<C;++D){var R=e(s[D],O);if(void 0!==R)return R}if(1!==I)for(var D=0;D<L;++D){var R=e(c[D],O);if(void 0!==R)return R}0===I?g(s,l,C++,O):1===I?g(c,u,L++,O):2===I&&g(h,f,z++,O)}else{var O=(P>>1)-1;0===I?d(s,l,C--,O):1===I?d(c,u,L--,O):2===I&&d(h,f,z--,O)}}},scanBipartite:function(t,e,r,n,i,c,u,h,f,m,v,y){var x=0,b=2*t,_=e,w=e+t,k=1,M=1;n?M=o:k=o;for(var A=i;A<c;++A){var T=A+k,S=b*A;p[x++]=u[S+_],p[x++]=-T,p[x++]=u[S+w],p[x++]=T}for(var A=f;A<m;++A){var T=A+M,E=b*A;p[x++]=v[E+_],p[x++]=-T}var C=x>>>1;a(p,C);for(var L=0,A=0;A<C;++A){var z=0|p[2*A+1];if(z<0){var T=-z,P=!1;if(T>=o?(P=!n,T-=o):(P=!!n,T-=1),P)g(s,l,L++,T);else{var I=y[T],O=b*T,D=v[O+e+1],R=v[O+e+1+t];t:for(var B=0;B<L;++B){var F=s[B],N=b*F;if(!(R<u[N+e+1]||u[N+e+1+t]<D)){for(var j=e+2;j<t;++j)if(v[O+j+t]<u[N+j]||u[N+j+t]<v[O+j])continue t;var V,U=h[F];if(void 0!==(V=n?r(I,U):r(U,I)))return V}}}}else 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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 f,new f,new f];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 h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.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=o(r,n,i,a),u=s.cubeEdges,h=s.axis,f=n[12],b=n[13],_=n[14],w=n[15],k=this.pixelRatio*(i[3]*f+i[7]*b+i[11]*_+i[15]*w)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=u[M],this.lastCubeProps.axis[M]=h[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,u,h);e=this.gl;var T=g;for(M=0;M<3;++M)this.backgroundEnable[M]?T[M]=h[M]:T[M]=0;this._background.draw(r,n,i,a,T,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var S=[0,0,0];h[M]>0?S[M]=a[1][M]:S[M]=a[0][M];for(var E=0;E<2;++E){var C=(M+1+E)%3,L=(M+1+(1^E))%3;this.gridEnable[C]&&this._lines.drawGrid(C,L,this.bounds,S,this.gridColor[C],this.gridWidth[C]*this.pixelRatio)}for(E=0;E<2;++E){C=(M+1+E)%3,L=(M+1+(1^E))%3;this.zeroEnable[L]&&a[0][L]<=0&&a[1][L]>=0&&this._lines.drawZero(C,L,this.bounds,S,this.zeroLineColor[L],this.zeroLineWidth[L]*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),P=c(y,A[M].mirrorMinor),I=this.lineTickLength;for(E=0;E<3;++E){var O=k/r[5*E];z[E]*=I[E]*O,P[E]*=I[E]*O}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,P,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);for(M=0;M<3;++M){var D=A[M].primalMinor,R=c(x,A[M].primalOffset);for(E=0;E<3;++E)this.lineTickEnable[M]&&(R[E]+=k*D[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[M]){for(E=0;E<3;++E)R[E]+=k*D[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],R,this.tickColor[M])}if(this.labelEnable[M]){for(E=0;E<3;++E)R[E]+=k*D[E]*this.labelPad[E]/r[5*E];R[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],R,this.labelColor[M])}}this._text.unbind()},h.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\":223,\"./lib/cube.js\":224,\"./lib/lines.js\":225,\"./lib/text.js\":227,\"./lib/ticks.js\":228}],223:[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,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[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\":226,\"gl-buffer\":230,\"gl-vao\":308}],224:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a){i(s,e,t),i(s,r,s);for(var p=0,y=0;y<2;++y){u[2]=a[y][2];for(var x=0;x<2;++x){u[1]=a[x][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[p],u,s),p+=1}}for(var _=-1,y=0;y<8;++y){for(var w=l[y][3],k=0;k<3;++k)c[y][k]=l[y][k]/w;w<0&&(_<0?_=y:c[y][2]<c[_][2]&&(_=y))}if(_<0){_=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,T=(M+1)%3,S=-1,E=-1,C=0;C<2;++C){var L=C<<M,z=L+(C<<A)+(1-C<<T),P=L+(1-C<<A)+(C<<T);o(c[L],c[z],c[P],h)<0||(C?S=1:E=1)}if(S<0||E<0)E>S&&(_|=1<<M);else{for(var C=0;C<2;++C){var L=C<<M,z=L+(C<<A)+(1-C<<T),P=L+(1-C<<A)+(C<<T),I=d([l[L],l[z],l[P],l[L+(1<<A)+(1<<T)]]);C?S=I:E=I}E>S&&(_|=1<<M)}}}for(var O=7^_,D=-1,y=0;y<8;++y)y!==_&&y!==O&&(D<0?D=y:c[D][1]>c[y][1]&&(D=y));for(var R=-1,y=0;y<3;++y){var B=D^1<<y;if(B!==_&&B!==O){R<0&&(R=B);var T=c[B];T[0]<c[R][0]&&(R=B)}}for(var F=-1,y=0;y<3;++y){var B=D^1<<y;if(B!==_&&B!==O&&B!==R){F<0&&(F=B);var T=c[B];T[0]>c[F][0]&&(F=B)}}var N=g;N[0]=N[1]=N[2]=0,N[n.log2(R^D)]=D&R,N[n.log2(D^F)]=D&F;var j=7^F;j===_||j===O?(j=7^R,N[n.log2(F^j)]=j&F):N[n.log2(R^j)]=j&R;for(var V=m,U=_,M=0;M<3;++M)V[M]=U&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=(t(\"gl-mat4/invert\"),t(\"split-polygon\")),o=t(\"robust-orientation\"),s=new Array(16),l=(new Array(16),new Array(8)),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":80,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"robust-orientation\":471,\"split-polygon\":488}],225:[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 h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][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[h]=f,l[h]=m-f;for(var f=o.length/3|0,v=0;v<r[h].length;++v){var g=+r[h][v].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;c[h]=f,u[h]=m-f}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 h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(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=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":226,\"gl-buffer\":230,\"gl-vao\":308}],226:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"#define GLSLIFY 1\\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 mediump float;\\n#define GLSLIFY 1\\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([\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\"]),l=n([\"precision mediump float;\\n#define GLSLIFY 1\\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([\"#define GLSLIFY 1\\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  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 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  colorChannel = abs(normal);\\n}\"]),u=n([\"precision mediump 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\":287,glslify:377}],227:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),h=i(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);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,h=[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,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){this.gl;var o=[];function s(t,e,r,n){var i=l[r];i||(i=l[r]={});var s=i[e];s||(s=i[e]=function(t,e){try{return a(t,e)}catch(t){return console.warn(\"error vectorizing text:\",t),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\"}));for(var c=(n||12)/12,u=s.positions,h=s.cells,f=0,p=h.length;f<p;++f)for(var d=h[f],g=2;g>=0;--g){var m=u[d[g]];o.push(c*m[0],-c*m[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p=0;p<3;++p){h[p]=o.length/3|0,s(.5*(t[0][p]+t[1][p]),e[p],r),f[p]=(o.length/3|0)-h[p],c[p]=o.length/3|0;for(var d=0;d<n[p].length;++d)n[p][d].text&&s(n[p][d].x,n[p][d].text,n[p][d].font||i,n[p][d].fontSize||12);u[p]=(o.length/3|0)-c[p]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f};var f=[0,0,0];u.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f;a[0]=a[1]=a[2]=0,a[t]=1,this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var p=[0,0,0];u.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=p,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":226,_process:449,\"gl-buffer\":230,\"gl-vao\":308,\"vectorize-text\":515}],228:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],229:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=t.bounds,x=(h=h||a(f,p,v,y)).axis;h.edges;o(u,p,f),o(u,v,u);for(var b=g,_=0;_<3;++_)b[_].lo=1/0,b[_].hi=-1/0,b[_].pixelsPerDataUnit=1/0;var w=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,T=m;t:for(var _=0;_<2;++_){var S=[];if(x[k]<0!=!!_){T[k]=y[_][k];for(var E=0;E<2;++E){T[M]=y[E^_][M];for(var C=0;C<2;++C)T[A]=y[C^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=i.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],L=d(m,u,A,r,l),C=0;C<3;++C)b[C].lo=Math.min(b[C].lo,A[C]),b[C].hi=Math.max(b[C].hi,A[C]),C!==k&&(b[C].pixelsPerDataUnit=Math.min(b[C].pixelsPerDataUnit,Math.abs(L[C])))}}}return b};var 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 h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":224,\"extract-frustum-planes\":213,\"gl-mat4/multiply\":256,\"gl-mat4/transpose\":264,\"gl-vec4/transformMat4\":366,\"split-polygon\":488}],230:[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 h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},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:417,\"ndarray-ops\":411,\"typedarray-pool\":507}],231:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=(t(\"gl-vec4\"),function(t,e){for(var r=0;r<t.length;r++)if(t[r]>=e)return r-1;return r}),a=n.create(),o=n.create(),s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t,e,r,l){var c=t[0],u=t[1],h=t[2],f=r[0].length,p=r[1].length,d=r[2].length,g=i(r[0],c),m=i(r[1],u),v=i(r[2],h),y=g+1,x=m+1,b=v+1;if(l&&(g=s(g,0,f-1),y=s(y,0,f-1),m=s(m,0,p-1),x=s(x,0,p-1),v=s(v,0,d-1),b=s(b,0,d-1)),g<0||m<0||v<0||y>=f||x>=p||b>=d)return n.create();var _=(c-r[0][g])/(r[0][y]-r[0][g]),w=(u-r[1][m])/(r[1][x]-r[1][m]),k=(h-r[2][v])/(r[2][b]-r[2][v]);(_<0||_>1||isNaN(_))&&(_=0),(w<0||w>1||isNaN(w))&&(w=0),(k<0||k>1||isNaN(k))&&(k=0);var M=v*f*p,A=b*f*p,T=m*f,S=x*f,E=g,C=y,L=e[T+M+E],z=e[T+M+C],P=e[S+M+E],I=e[S+M+C],O=e[T+A+E],D=e[T+A+C],R=e[S+A+E],B=e[S+A+C],F=n.create();return n.lerp(F,L,z,_),n.lerp(a,P,I,_),n.lerp(F,F,a,w),n.lerp(a,O,D,_),n.lerp(o,R,B,_),n.lerp(a,a,o,w),n.lerp(F,F,a,k),F};e.exports=function(t,e){var r;r=t.positions?t.positions:function(t){for(var e=t[0],r=t[1],n=t[2],i=[],a=0;a<n.length;a++)for(var o=0;o<r.length;o++)for(var s=0;s<e.length;s++)i.push([n[a],r[o],e[s]]);return i}(t.meshgrid);var i=t.meshgrid,a=t.vectors,o={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vertexNormals:[],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]),o;for(var s=0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=1/0,d=-1/0,g=null,m=null,v=[],y=1/0,x=0;x<r.length;x++){var b,_=r[x];c=Math.min(_[0],c),u=Math.max(_[0],u),h=Math.min(_[1],h),f=Math.max(_[1],f),p=Math.min(_[2],p),d=Math.max(_[2],d),b=i?l(_,a,i,!0):a[x],n.length(b)>s&&(s=n.length(b)),x&&(y=Math.min(y,2*n.distance(g,_)/(n.length(m)+n.length(b)))),g=_,m=b,v.push(b)}var w=[c,h,p],k=[u,f,d];e&&(e[0]=w,e[1]=k),0===s&&(s=1);var M=1/s;isFinite(y)&&!isNaN(y)||(y=1),o.vectorScale=y;var A=function(t,e,r){var i=n.create();return void 0!==t&&n.set(i,t,e,r),i}(0,1,0),T=t.coneSize||.5;t.absoluteConeSize&&(T=t.absoluteConeSize*M),o.coneScale=T;x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],z=v[x],P=n.length(z)*M,I=0;I<8;I++){o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.vectors.push(z),o.vectors.push(z),o.vectors.push(z),o.vectors.push(z),o.vectors.push(z),o.vectors.push(z),o.vertexIntensity.push(P,P,P),o.vertexIntensity.push(P,P,P),o.vertexNormals.push(A,A,A),o.vertexNormals.push(A,A,A);var O=o.positions.length;o.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return o},e.exports.createConeMesh=t(\"./lib/conemesh\")},{\"./lib/conemesh\":233,\"gl-vec3\":320,\"gl-vec4\":350}],232:[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])]}e.exports=function(t,e,r,a,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;u<t.length;++u)c[u]=o(t[u],r,a,s,l);for(var h=0,f=1/0,u=0;u<c.length;++u){for(var p=0,d=0;d<2;++d)p+=Math.pow(c[u][d]-e[d],2);p<f&&(f=p,h=u)}for(var g=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[]}(c,e),m=0,u=0;u<3;++u){if(g[u]<-.001||g[u]>1.0001)return null;m+=g[u]}if(Math.abs(m-1)>.001)return null;return[h,function(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}(t,g),g]}},{barycentric:61,\"polytope-closest-point/lib/closest_point_2d.js\":448}],233:[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\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./shaders\"),g=(t(\"./closest-point\"),d.meshShader),m=d.pickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,y,x,b,_,w,k,M,A,T,S,E){this.gl=t,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.triangleVectors=c,this.triangleColors=h,this.triangleNormals=p,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=g,this.edgeColors=y,this.edgeUVs=x,this.edgeIds=m,this.edgeVAO=b,this.edgeCount=0,this.pointPositions=_,this.pointColors=k,this.pointUVs=M,this.pointSizes=A,this.pointIds=w,this.pointVAO=T,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=S,this.contourVAO=E,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!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.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=v,this._view=v,this._projection=v,this._resolution=[1,1]}var x=y.prototype;function b(t){var e=n(t,m.vertex,m.fragment,null,m.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}x.isOpaque=function(){return this.opacity>=1},x.isTransparent=function(){return this.opacity<1},x.pickSlots=1,x.setPickBase=function(t){this.pickId=t},x.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=i[h],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},x.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),\"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.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),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){for(var e=h({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[],w=[],k=[];this.cells=r,this.positions=n;var M=t.vertexNormals,A=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,S=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!A&&(A=s.faceNormals(r,n,S)),A||M||(M=s.vertexNormals(r,n,T));var E=t.vertexColors,C=t.cellColors,L=t.meshColor||[1,1,1,1],z=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,D=1/0,R=-1/0;if(!z&&!I)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],R=+t.vertexIntensityBounds[1];else for(var B=0;B<P.length;++B){var F=P[B];D=Math.min(D,F),R=Math.max(R,F)}else if(O)for(B=0;B<O.length;++B){F=O[B];D=Math.min(D,F),R=Math.max(R,F)}else for(B=0;B<n.length;++B){F=n[B][2];D=Math.min(D,F),R=Math.max(R,F)}this.intensity=P||(O?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,O):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var N=t.pointSizes,j=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(B=0;B<n.length;++B)for(var V=n[B],U=0;U<3;++U)!isNaN(V[U])&&isFinite(V[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],V[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],V[U]));var q=0,H=0,G=0;t:for(B=0;B<r.length;++B){var W=r[B];switch(W.length){case 1:for(V=n[X=W[0]],U=0;U<3;++U)if(isNaN(V[U])||!isFinite(V[U]))continue t;x.push(V[0],V[1],V[2],V[3]),3===(Z=E?E[X]:C?C[B]:L).length?b.push(Z[0],Z[1],Z[2],1):b.push(Z[0],Z[1],Z[2],Z[3]),$=z?z[X]:P?[(P[X]-D)/(R-D),0]:I?I[B]:O?[(O[B]-D)/(R-D),0]:[(V[2]-D)/(R-D),0],_.push($[0],$[1]),N?w.push(N[X]):w.push(j),k.push(B),G+=1;break;case 2:for(U=0;U<2;++U){V=n[X=W[U]];for(var Y=0;Y<3;++Y)if(isNaN(V[Y])||!isFinite(V[Y]))continue t}for(U=0;U<2;++U){V=n[X=W[U]];g.push(V[0],V[1],V[2]),3===(Z=E?E[X]:C?C[B]:L).length?m.push(Z[0],Z[1],Z[2],1):m.push(Z[0],Z[1],Z[2],Z[3]),$=z?z[X]:P?[(P[X]-D)/(R-D),0]:I?I[B]:O?[(O[B]-D)/(R-D),0]:[(V[2]-D)/(R-D),0],v.push($[0],$[1]),y.push(B)}H+=1;break;case 3:for(U=0;U<3;++U)for(V=n[X=W[U]],Y=0;Y<3;++Y)if(isNaN(V[Y])||!isFinite(V[Y]))continue t;for(U=0;U<3;++U){var X;V=n[X=W[U]];a.push(V[0],V[1],V[2],V[3]);var Z,$,J,K=i[X];l.push(K[0],K[1],K[2]),3===(Z=E?E[X]:C?C[B]:L).length?c.push(Z[0],Z[1],Z[2],1):c.push(Z[0],Z[1],Z[2],Z[3]),$=z?z[X]:P?[(P[X]-D)/(R-D),0]:I?I[B]:O?[(O[B]-D)/(R-D),0]:[(V[2]-D)/(R-D),0],p.push($[0],$[1]),J=M?M[X]:A[B],f.push(J[0],J[1],J[2]),d.push(B)}q+=1}}this.pointCount=G,this.edgeCount=H,this.triangleCount=q,this.pointPositions.update(x),this.pointColors.update(b),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(k)),this.edgePositions.update(g),this.edgeColors.update(m),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(c),this.triangleUVs.update(p),this.triangleNormals.update(f),this.triangleIds.update(new Uint32Array(d))}},x.drawTransparent=x.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||v,n=t.view||v,i=t.projection||v,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,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,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,contourColor:this.contourColor,texture:0};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 h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},x.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||v,n=t.view||v,i=t.projection||v,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,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,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),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())},x.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);return{index:Math.floor(r[1]/48),position:n,dataCoordinate:n}},x.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.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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=b(t),l=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var c=i(t),h=i(t),f=i(t),p=i(t),d=i(t),m=i(t),v=a(t,[{buffer:c,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:f,type:t.FLOAT,size:4},{buffer:p,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:3},{buffer:h,type:t.FLOAT,size:3}]),x=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:x,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}]),A=i(t),T=i(t),S=i(t),E=i(t),C=i(t),L=a(t,[{buffer:A,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2},{buffer:E,type:t.FLOAT,size:1}]),z=i(t),P=new y(t,l,r,null,null,s,null,null,c,h,m,f,p,d,v,x,k,_,w,M,A,C,T,S,E,L,z,a(t,[{buffer:z,type:t.FLOAT,size:3}]));return P.update(e),P}},{\"./closest-point\":232,\"./shaders\":234,colormap:113,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-shader\":287,\"gl-texture2d\":303,\"gl-vao\":308,ndarray:417,normals:420,\"simplicial-complex-contour\":479,\"typedarray-pool\":507}],234:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat inverse(float m) {\\n  return 1.0 / m;\\n}\\n\\nmat2 inverse(mat2 m) {\\n  return mat2(m[1][1],-m[0][1],\\n             -m[1][0], m[0][0]) / (m[0][0]*m[1][1] - m[0][1]*m[1][0]);\\n}\\n\\nmat3 inverse(mat3 m) {\\n  float a00 = m[0][0], a01 = m[0][1], a02 = m[0][2];\\n  float a10 = m[1][0], a11 = m[1][1], a12 = m[1][2];\\n  float a20 = m[2][0], a21 = m[2][1], a22 = m[2][2];\\n\\n  float b01 = a22 * a11 - a12 * a21;\\n  float b11 = -a22 * a10 + a12 * a20;\\n  float b21 = a21 * a10 - a11 * a20;\\n\\n  float det = a00 * b01 + a01 * b11 + a02 * b21;\\n\\n  return mat3(b01, (-a22 * a01 + a02 * a21), (a12 * a01 - a02 * a11),\\n              b11, (a22 * a00 - a02 * a20), (-a12 * a00 + a02 * a10),\\n              b21, (-a21 * a00 + a01 * a20), (a11 * a00 - a01 * a10)) / det;\\n}\\n\\nmat4 inverse(mat4 m) {\\n  float\\n      a00 = m[0][0], a01 = m[0][1], a02 = m[0][2], a03 = m[0][3],\\n      a10 = m[1][0], a11 = m[1][1], a12 = m[1][2], a13 = m[1][3],\\n      a20 = m[2][0], a21 = m[2][1], a22 = m[2][2], a23 = m[2][3],\\n      a30 = m[3][0], a31 = m[3][1], a32 = m[3][2], a33 = m[3][3],\\n\\n      b00 = a00 * a11 - a01 * a10,\\n      b01 = a00 * a12 - a02 * a10,\\n      b02 = a00 * a13 - a03 * a10,\\n      b03 = a01 * a12 - a02 * a11,\\n      b04 = a01 * a13 - a03 * a11,\\n      b05 = a02 * a13 - a03 * a12,\\n      b06 = a20 * a31 - a21 * a30,\\n      b07 = a20 * a32 - a22 * a30,\\n      b08 = a20 * a33 - a23 * a30,\\n      b09 = a21 * a32 - a22 * a31,\\n      b10 = a21 * a33 - a23 * a31,\\n      b11 = a22 * a33 - a23 * a32,\\n\\n      det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\\n\\n  return mat4(\\n      a11 * b11 - a12 * b10 + a13 * b09,\\n      a02 * b10 - a01 * b11 - a03 * b09,\\n      a31 * b05 - a32 * b04 + a33 * b03,\\n      a22 * b04 - a21 * b05 - a23 * b03,\\n      a12 * b08 - a10 * b11 - a13 * b07,\\n      a00 * b11 - a02 * b08 + a03 * b07,\\n      a32 * b02 - a30 * b05 - a33 * b01,\\n      a20 * b05 - a22 * b02 + a23 * b01,\\n      a10 * b10 - a11 * b08 + a13 * b06,\\n      a01 * b08 - a00 * b10 - a03 * b06,\\n      a30 * b04 - a31 * b02 + a33 * b00,\\n      a21 * b02 - a20 * b04 - a23 * b00,\\n      a11 * b07 - a10 * b09 - a12 * b06,\\n      a00 * b09 - a01 * b07 + a02 * b06,\\n      a31 * b01 - a30 * b03 - a32 * b00,\\n      a20 * b03 - a21 * b01 + a22 * b00) / det;\\n}\\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 index, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  index = mod(index, segmentCount * 6.0);\\n\\n  float segment = floor(index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex == 3.0) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  // angle = 2pi * ((segment + ((segmentIndex == 1.0 || segmentIndex == 5.0) ? 1.0 : 0.0)) / segmentCount)\\n  float nextAngle = float(segmentIndex == 1.0 || segmentIndex == 5.0);\\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 <= 2.0) {\\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;\\nuniform float vectorScale;\\nuniform float coneScale;\\n\\nuniform float coneOffset;\\n\\nuniform mat4 model\\n           , view\\n           , projection;\\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\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal), 0.0);\\n  normal = normalize(normal * inverse(mat3(model)));\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n  f_color          = color; //vec4(position.w, color.r, 0, 0);\\n  f_normal         = normal;\\n  f_data           = conePosition.xyz;\\n  f_eyeDirection   = eyePosition   - conePosition.xyz;\\n  f_lightDirection = lightPosition - conePosition.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"precision mediump 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\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\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(any(lessThan(f_data, clipBounds[0])) || \\n  //   any(greaterThan(f_data, clipBounds[1]))) {\\n  //  discard;\\n  //}\\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 = cookTorranceSpecular(L, V, N, roughness, fresnel);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor =  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}\"]),o=n([\"precision mediump 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 index, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  index = mod(index, segmentCount * 6.0);\\n\\n  float segment = floor(index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex == 3.0) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  // angle = 2pi * ((segment + ((segmentIndex == 1.0 || segmentIndex == 5.0) ? 1.0 : 0.0)) / segmentCount)\\n  float nextAngle = float(segmentIndex == 1.0 || segmentIndex == 5.0);\\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 <= 2.0) {\\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 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nuniform float vectorScale;\\nuniform float coneScale;\\nuniform float coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal), 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if(any(lessThan(f_position, clipBounds[0])) || \\n     any(greaterThan(f_position, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"normal\",type:\"vec3\"},{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:377}],235:[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\",34000:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],236:[function(t,e,r){var n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":235}],237:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return this.opacity>=1},l.isTransparent=function(){return this.opacity<1},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function h(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length&&(d=[d[0],d[1],d[2],1]),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":238,\"gl-buffer\":230,\"gl-vao\":308}],238:[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, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\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\":287,glslify:377}],239:[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 Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,f,h,g,m,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var 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]=f(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=f(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(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){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),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),h(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),h(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\":303}],240:[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),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}for(var m=o(e).split(\"\\n\"),p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":52,\"gl-constants/lookup\":236,\"glsl-shader-name\":369,\"sprintf-js\":489}],241:[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),h=s(r),f=s(r),p=new c(t,n,i,a,u,h,f);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,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var 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]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),m=1/((h[3]=o[o.length-1])-d),v=e[0],y=e[1];this.shape=[v,y];var x=(v-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=a.mallocUint8(4*x),_=a.mallocFloat32(2*x),w=a.mallocUint8(2*x),k=a.mallocUint32(x),M=0,A=0;A<y-1;++A)for(var T=m*(o[A]-d),S=m*(o[A+1]-d),E=0;E<v-1;++E)for(var C=g*(r[E]-p),L=g*(r[E+1]-p),z=0;z<f.length;z+=2){var P,I,O,D,R=f[z],B=f[z+1],F=s[(A+B)*v+(E+R)],N=n.le(l,F);if(N<0)P=c[0],I=c[1],O=c[2],D=c[3];else if(N===u-1)P=c[4*u-4],I=c[4*u-3],O=c[4*u-2],D=c[4*u-1];else{var j=(F-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);P=V*c[U]+j*c[q],I=V*c[U+1]+j*c[q+1],O=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*M]=255*P,b[4*M+1]=255*I,b[4*M+2]=255*O,b[4*M+3]=255*D,_[2*M]=.5*C+.5*L,_[2*M+1]=.5*T+.5*S,w[2*M]=R,w[2*M+1]=B,k[M]=A*v+E,M+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),a.free(_),a.free(b),a.free(w),a.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":242,\"binary-search-bounds\":243,\"gl-buffer\":230,\"gl-shader\":287,\"iota-array\":384,\"typedarray-pool\":507}],242:[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:377}],243:[function(t,e,r){arguments[4][98][0].apply(r,arguments)},{dup:98}],244:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump 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\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\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 mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1540259130(highp float v) {\\n  highp 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  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp 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  highp 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\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1540259130(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\":287,glslify:377}],245:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=u(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),c=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}]),f=l(new Array(1024),[256,1,4]),p=0;p<1024;++p)f.data[p]=255;var d=a(e,f);d.wrap=e.REPEAT;var g=new m(e,r,o,s,c,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=t(\"glsl-read-float\"),s=t(\"binary-search-bounds\"),l=t(\"ndarray\"),c=t(\"./lib/shaders\"),u=c.createShader,h=c.createPickShader,f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(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 d(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function m(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.dirty=!0,this.pixelRatio=1}var v=m.prototype;v.isTransparent=function(){return this.opacity<1},v.isOpaque=function(){return this.opacity>=1},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.draw=function(t){var 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t[0]=x*n+b*s+_*h+w*g,t[1]=x*i+b*l+_*f+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+_*h+w*g,t[5]=x*i+b*l+_*f+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+_*h+w*g,t[9]=x*i+b*l+_*f+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+_*h+w*g,t[13]=x*i+b*l+_*f+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],257:[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}},{}],258:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,k,M,A,T,S,E=n[0],C=n[1],L=n[2],z=Math.sqrt(E*E+C*C+L*L);if(Math.abs(z)<1e-6)return null;E*=z=1/z,C*=z,L*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=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,k=C*C*o+a,M=L*C*o+E*i,A=E*L*o+C*i,T=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*k+g*M,t[5]=l*w+f*k+m*M,t[6]=c*w+p*k+v*M,t[7]=u*w+d*k+y*M,t[8]=s*A+h*T+g*S,t[9]=l*A+f*T+m*S,t[10]=c*A+p*T+v*S,t[11]=u*A+d*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],259:[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],h=e[10],f=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+h*n,t[7]=l*i+f*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}},{}],260:[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],h=e[10],f=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-h*n,t[3]=l*i-f*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}},{}],261:[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],h=e[6],f=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+h*n,t[3]=l*i+f*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}},{}],262:[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}},{}],263:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,h,f,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],h=e[8],f=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]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=i*g+l*m+f*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}},{}],264:[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}},{}],265:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:i(t,e);break;case 16:a(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),i=t(\"gl-mat3/invert\"),a=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":246,\"gl-mat3/invert\":247,\"gl-mat4/invert\":254}],266:[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])]}e.exports=function(t,e,r,a,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;u<t.length;++u)c[u]=o(t[u],r,a,s,l);for(var h=0,f=1/0,u=0;u<c.length;++u){for(var p=0,d=0;d<2;++d)p+=Math.pow(c[u][d]-e[d],2);p<f&&(f=p,h=u)}for(var g=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[]}(c,e),m=0,u=0;u<3;++u){if(g[u]<-.001||g[u]>1.0001)return null;m+=g[u]}if(Math.abs(m-1)>.001)return null;return[h,function(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}(t,g),g]}},{barycentric:61,\"polytope-closest-point/lib/closest_point_2d.js\":448}],267:[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;\\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\\nvoid main() {\\n  vec4 m_position  = model * vec4(position, 1.0);\\n  vec4 t_position  = view * m_position;\\n  gl_Position      = projection * t_position;\\n  f_color          = color;\\n  f_normal         = normal;\\n  f_data           = position;\\n  f_eyeDirection   = eyePosition   - position;\\n  f_lightDirection = lightPosition - 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\\nvec3 normals(vec3 pos) {\\n  vec3 fdx = dFdx(pos);\\n  vec3 fdy = dFdy(pos);\\n  return normalize(cross(fdx, fdy));\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\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(any(lessThan(f_data, clipBounds[0])) ||\\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  vec3 normal = normals(f_data);\\n\\n  if (\\n    dot(N, normal) < 0.0\\n    ) {\\n      N = -N;\\n  }\\n\\n  float specular = 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 mediump 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 mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(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 mediump 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 mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if(any(lessThan(f_position, clipBounds[0])) || \\n     any(greaterThan(f_position, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(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 mediump 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 mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\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:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,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:377}],268:[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\"),h=t(\"colormap\"),f=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 k(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,k,M,A,T,S){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=M,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=T,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!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._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var M=k.prototype;function A(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 T(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function S(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 E(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}M.isOpaque=function(){return this.opacity>=1},M.isTransparent=function(){return this.opacity<1},M.pickSlots=1,M.setPickBase=function(t){this.pickId=t},M.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=i[h],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},M.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),\"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),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){for(var e=h({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,M));var T=t.vertexColors,S=t.cellColors,E=t.meshColor||[1,1,1,1],C=t.vertexUVs,L=t.vertexIntensity,z=t.cellUVs,P=t.cellIntensity,I=1/0,O=-1/0;if(!C&&!z)if(L)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var D=0;D<L.length;++D){var R=L[D];I=Math.min(I,R),O=Math.max(O,R)}else if(P)for(D=0;D<P.length;++D){R=P[D];I=Math.min(I,R),O=Math.max(O,R)}else for(D=0;D<n.length;++D){R=n[D][2];I=Math.min(I,R),O=Math.max(O,R)}this.intensity=L||(P?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,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));var B=t.pointSizes,F=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(D=0;D<n.length;++D)for(var N=n[D],j=0;j<3;++j)!isNaN(N[j])&&isFinite(N[j])&&(this.bounds[0][j]=Math.min(this.bounds[0][j],N[j]),this.bounds[1][j]=Math.max(this.bounds[1][j],N[j]));var V=0,U=0,q=0;t:for(D=0;D<r.length;++D){var H=r[D];switch(H.length){case 1:for(N=n[W=H[0]],j=0;j<3;++j)if(isNaN(N[j])||!isFinite(N[j]))continue t;v.push(N[0],N[1],N[2]),3===(Y=T?T[W]:S?S[D]:E).length?y.push(Y[0],Y[1],Y[2],1):y.push(Y[0],Y[1],Y[2],Y[3]),X=C?C[W]:L?[(L[W]-I)/(O-I),0]:z?z[D]:P?[(P[D]-I)/(O-I),0]:[(N[2]-I)/(O-I),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(F),_.push(D),q+=1;break;case 2:for(j=0;j<2;++j){N=n[W=H[j]];for(var G=0;G<3;++G)if(isNaN(N[G])||!isFinite(N[G]))continue t}for(j=0;j<2;++j){N=n[W=H[j]];p.push(N[0],N[1],N[2]),3===(Y=T?T[W]:S?S[D]:E).length?d.push(Y[0],Y[1],Y[2],1):d.push(Y[0],Y[1],Y[2],Y[3]),X=C?C[W]:L?[(L[W]-I)/(O-I),0]:z?z[D]:P?[(P[D]-I)/(O-I),0]:[(N[2]-I)/(O-I),0],g.push(X[0],X[1]),m.push(D)}U+=1;break;case 3:for(j=0;j<3;++j)for(N=n[W=H[j]],G=0;G<3;++G)if(isNaN(N[G])||!isFinite(N[G]))continue t;for(j=0;j<3;++j){var W,Y,X,Z;N=n[W=H[j]];i.push(N[0],N[1],N[2]),3===(Y=T?T[W]:S?S[D]:E).length?a.push(Y[0],Y[1],Y[2],1):a.push(Y[0],Y[1],Y[2],Y[3]),X=C?C[W]:L?[(L[W]-I)/(O-I),0]:z?z[D]:P?[(P[D]-I)/(O-I),0]:[(N[2]-I)/(O-I),0],c.push(X[0],X[1]),Z=w?w[W]:k[D],l.push(Z[0],Z[1],Z[2]),f.push(D)}V+=1}}this.pointCount=q,this.edgeCount=U,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(f))}},M.drawTransparent=M.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,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,contourColor:this.contourColor,texture:0};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 h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},M.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),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())},M.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=g(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;var s=o[2],l=0;for(a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},M.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){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,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}(t),s=function(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}(t),l=A(t),c=T(t),h=S(t),f=E(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),y=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),M=i(t),C=i(t),L=i(t),z=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:C,type:t.FLOAT,size:2}]),P=i(t),I=i(t),O=i(t),D=i(t),R=i(t),B=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),F=i(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,L,M,C,z,P,R,I,O,D,B,F,a(t,[{buffer:F,type:t.FLOAT,size:3}]));return N.update(e),N}},{\"./lib/closest-point\":266,\"./lib/shaders\":267,colormap:113,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-shader\":287,\"gl-texture2d\":303,\"gl-vao\":308,ndarray:417,normals:420,\"simplicial-complex-contour\":479,\"typedarray-pool\":507}],269:[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\":272,\"gl-buffer\":230,\"gl-shader\":287}],270:[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,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,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){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[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,h=this.ticks,f=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 k=p[w],M=p[w+2]-k,A=.5*(d[w+2]+d[w]),T=d[w+2]-d[w];e[w]=2*M/T,t[w]=2*(k-A)/T}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,z=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),I=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,I-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),B=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),F=z+6*R,N=6*Math.max(0,B-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,f.drawArrays(f.TRIANGLES,F,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,f.drawArrays(f.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,f.drawArrays(f.TRIANGLES,F,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,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=f[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\":272,\"binary-search-bounds\":274,\"gl-buffer\":230,\"gl-shader\":287}],271:[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\":272,\"gl-buffer\":230,\"gl-shader\":287}],272:[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:377}],273:[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,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],M=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var T=2/f[2+(1^t)]-f[1^t];u[1^t]=T*s[1^t]-1,d[t]&&(u[1^t]-=T*p*g[t],M<A&&i[A]>i[M]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[M],i[A]-i[M]))),y[t]&&k&&(u[1^t]-=T*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,k)),u[1^t]=T*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=T*p*g[t+2],M<A&&i[A]>i[M]&&(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[M],i[A]-i[M]))),y[t+2]&&k&&(u[1^t]+=T*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,k))}),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=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],g=a[o+2]-h,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,f[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=f,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)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[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)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{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\":272,\"binary-search-bounds\":274,\"gl-buffer\":230,\"gl-shader\":287,\"text-cache\":498}],274:[function(t,e,r){arguments[4][98][0].apply(r,arguments)},{dup:98}],275:[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 h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var 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],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var 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 h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],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\":269,\"./lib/grid\":270,\"./lib/line\":271,\"./lib/text\":273,\"gl-select-static\":286}],276:[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\":287,glslify:377}],277:[function(t,e,r){\"use strict\";e.exports=function(t){var e=!1,r=((t=t||{}).pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!r)if(r=document.createElement(\"canvas\"),t.container){var v=t.container;v.appendChild(r)}else document.body.appendChild(r);var y=t.gl;y||(y=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(r,t.glOptions||{premultipliedAlpha:!0,antialias:!0}));if(!y)throw new Error(\"webgl not supported\");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new d,_=l(y,[y.drawingBufferWidth,y.drawingBufferHeight],{preferFloat:!p}),w=f(y),k=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},M=t.axes||{},A=i(y,M);A.enable=!M.disable;var T=t.spikes||{},S=o(y,T),E=[],C=[],L=[],z=[],P=!0,I=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],F={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:r,selection:b,camera:n(r,k),axes:A,axesPixels:null,spikes:S,bounds:x,objects:E,shape:B,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:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null},N=[y.drawingBufferWidth/F.pixelRatio|0,y.drawingBufferHeight/F.pixelRatio|0];function j(){if(!e&&F.autoResize){var t=r.parentNode,n=1,i=1;t&&t!==document.body?(n=t.clientWidth,i=t.clientHeight):(n=window.innerWidth,i=window.innerHeight);var a=0|Math.ceil(n*F.pixelRatio),o=0|Math.ceil(i*F.pixelRatio);if(a!==r.width||o!==r.height){r.width=a,r.height=o;var s=r.style;s.position=s.position||\"absolute\",s.left=\"0px\",s.top=\"0px\",s.width=n+\"px\",s.height=i+\"px\",P=!0}}}F.autoResize&&j();function V(){for(var t=E.length,e=z.length,r=0;r<e;++r)L[r]=0;t:for(var r=0;r<t;++r){var n=E[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(L[a]+i<255){C[r]=a,n.setPickBase(L[a]+1),L[a]+=i;continue t}var o=s(y,B);C[r]=e,z.push(o),L.push(i),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===L[e-1];)L.pop(),z.pop().dispose()}window.addEventListener(\"resize\",j),F.update=function(t){e||(t=t||{},P=!0,I=!0)},F.add=function(t){e||(t.axes=A,E.push(t),C.push(-1),P=!0,I=!0,V())},F.remove=function(t){if(!e){var r=E.indexOf(t);r<0||(E.splice(r,1),C.pop(),P=!0,I=!0,V())}},F.dispose=function(){if(!e&&(e=!0,window.removeEventListener(\"resize\",j),r.removeEventListener(\"webglcontextlost\",H),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();_.dispose();for(var t=0;t<z.length;++t)z[t].dispose();w.dispose(),y=null,A=null,S=null,E=[]}};var U=!1,q=0;function H(){if(F.contextLost)return!0;y.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.mouseListener=u(r,function(t,r,n){if(!e){var i=z.length,a=E.length,o=b.object;b.distance=1/0,b.mouse[0]=r,b.mouse[1]=n,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var s=!1;if(t&&q)U=!0;else{U&&(I=!0),U=!1;for(var l=0;l<i;++l){var c=z[l].query(r,N[1]-n-1,F.pickRadius);if(c){if(c.distance>b.distance)continue;for(var u=0;u<a;++u){var h=E[u];if(C[u]===l){var f=h.pick(c);f&&(b.buttons=t,b.screen=c.coord,b.distance=c.distance,b.object=h,b.index=f.distance,b.dataPosition=f.position,b.dataCoordinate=f.dataCoordinate,b.data=f,s=!0)}}}}}o&&o!==b.object&&(o.highlight&&o.highlight(null),P=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),P=!0),(s=s||b.object!==o)&&F.onselect&&F.onselect(b),1&t&&!(1&q)&&F.onclick&&F.onclick(b),q=t}}),r.addEventListener(\"webglcontextlost\",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=[G[0].slice(),G[1].slice()];function Y(){if(!H()){j();var t=F.camera.tick();R.view=F.camera.matrix,P=P||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var i=0;i<e;++i){var o=E[i];o.pixelRatio=F.pixelRatio,o.axes=F.axes,P=P||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],f=0;f<3;++f)r[f]=Math.min(r[f],l[f]),n[f]=Math.max(n[f],u[f])}var p=F.bounds;if(F.autoBounds)for(var f=0;f<3;++f){if(n[f]<r[f])r[f]=-1,n[f]=1;else{r[f]===n[f]&&(r[f]-=1,n[f]+=1);var d=.05*(n[f]-r[f]);r[f]=r[f]-d,n[f]=n[f]+d}p[0][f]=r[f],p[1][f]=n[f]}for(var m=!1,f=0;f<3;++f)m=m||W[0][f]!==p[0][f]||W[1][f]!==p[1][f],W[0][f]=p[0][f],W[1][f]=p[1][f];if(I=I||m,P=P||m){if(m){for(var v=[0,0,0],i=0;i<3;++i)v[i]=g((p[1][i]-p[0][i])/10);A.autoTicks?A.update({bounds:p,tickSpacing:v}):A.update({bounds:p})}var x=y.drawingBufferWidth,k=y.drawingBufferHeight;B[0]=x,B[1]=k,N[0]=0|Math.max(x/F.pixelRatio,1),N[1]=0|Math.max(k/F.pixelRatio,1),h(O,F.fovy,x/k,F.zNear,F.zFar);for(var i=0;i<16;++i)D[i]=0;D[15]=1;for(var M=0,i=0;i<3;++i)M=Math.max(M,p[1][i]-p[0][i]);for(var i=0;i<3;++i)F.autoScale?D[5*i]=F.aspect[i]/(p[1][i]-p[0][i]):D[5*i]=1/M,F.autoCenter&&(D[12+i]=.5*-D[5*i]*(p[0][i]+p[1][i]));for(var i=0;i<e;++i){var o=E[i];o.axesBounds=p,F.clipToBounds&&(o.clipBounds=p)}b.object&&(F.snapToData?S.position=b.dataCoordinate:S.position=b.dataPosition,S.bounds=p),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST);for(var t=E.length,e=z.length,r=0;r<e;++r){var n=z[r];n.shape=N,n.begin();for(var i=0;i<t;++i)if(C[i]===r){var a=E[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(R))}n.end()}}()),F.axesPixels=a(F.axes,R,x,k),F.onrender&&F.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,x,k);var T=F.clearColor;y.clearColor(T[0],T[1],T[2],T[3]),y.clear(y.COLOR_BUFFER_BIT|y.DEPTH_BUFFER_BIT),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var L=!1;A.enable&&(L=L||A.isTransparent(),A.draw(R)),S.axes=A,b.object&&S.draw(R),y.disable(y.CULL_FACE);for(var i=0;i<e;++i){var o=E[i];o.axes=A,o.pixelRatio=F.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(R),o.isTransparent&&o.isTransparent()&&(L=!0)}if(L){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(var i=0;i<e;++i){var o=E[i];o.isOpaque&&o.isOpaque()&&o.draw(R)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(var i=0;i<e;++i){var o=E[i];o.isTransparent&&o.isTransparent()&&o.drawTransparent(R)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}P=!1;for(var i=0;i<e;++i)E[i].dirty=!1}}}return function t(){e||F.contextLost||(requestAnimationFrame(t),Y())}(),F.redraw=function(){e||(P=!0,Y())},F};var n=t(\"3d-view-controls\"),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\"),h=t(\"gl-mat4/perspective\"),f=t(\"./lib/shader\"),p=t(\"is-mobile\")();function d(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function m(t){return\"boolean\"!=typeof t||t}},{\"./lib/shader\":276,\"3d-view-controls\":42,\"a-big-triangle\":50,\"gl-axes3d\":222,\"gl-axes3d/properties\":229,\"gl-fbo\":239,\"gl-mat4/perspective\":257,\"gl-select-static\":286,\"gl-spikes3d\":296,\"is-mobile\":388,\"mouse-change\":402}],278:[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:377}],279:[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),h=new s(t,a,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":278,\"gl-buffer\":230,\"gl-shader\":287,\"typedarray-pool\":507}],280:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+h*g+f*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*h+l*g,t[3]=s*f+l*m,t}},{}],281:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e){var r=i[e];r||(r=i[e]={});if(t in r)return r[t];for(var a=n(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=n(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<a.positions.length;++l)for(var c=a.positions[l],u=0;u<2;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,a,s]};var i={}},{\"vectorize-text\":515}],282:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\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 mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\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 mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\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 mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\"]),c=i([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},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,h)},r.createOrtho=function(t){return v(t,f)},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\":287,glslify:377}],283:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"typedarray-pool\"),o=t(\"gl-mat4/multiply\"),s=t(\"./lib/shaders\"),l=t(\"./lib/glyphs\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function u(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 h(t,e,r,n){return u(n,n),u(n,n),u(n,n)}function f(t,e){this.index=t,this.dataCoordinate=this.position=e}function p(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new f(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=s.createPerspective(e),a=s.createOrtho(e),o=s.createProject(e),l=s.createPickPerspective(e),c=s.createPickOrtho(e),u=s.createPickProject(e),h=n(e),f=n(e),d=n(e),g=n(e),m=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:d,size:2,type:e.FLOAT},{buffer:g,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new p(e,r,a,o,h,f,d,g,m,l,c,u);return v.update(t),v};var d=p.prototype;d.pickSlots=1,d.setPickBase=function(t){this.pickId=t},d.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},d.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var g=[0,0],m=[0,0,0],v=[0,0,0],y=[0,0,0,1],x=[0,0,0,1],b=c.slice(),_=[0,0,0],w=[[0,0,0],[0,0,0]];function k(t){return t[0]=t[1]=t[2]=0,t}function M(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function A(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function T(t,e,r,n,i){var a,s=e.axesProject,l=e.gl,u=t.uniforms,f=r.model||c,p=r.view||c,d=r.projection||c,T=e.axesBounds,S=function(t){for(var e=w,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);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],g[0]=2/l.drawingBufferWidth,g[1]=2/l.drawingBufferHeight,t.bind(),u.view=p,u.projection=d,u.screenSize=g,u.highlightId=e.highlightId,u.highlightScale=e.highlightScale,u.clipBounds=S,u.pickGroup=e.pickId/255,u.pixelRatio=e.pixelRatio;for(var E=0;E<3;++E)if(s[E]&&e.projectOpacity[E]<1===n){u.scale=e.projectScale[E],u.opacity=e.projectOpacity[E];for(var C=b,L=0;L<16;++L)C[L]=0;for(L=0;L<4;++L)C[5*L]=1;C[5*E]=0,a[E]<0?C[12+E]=T[0][E]:C[12+E]=T[1][E],o(C,f,C),u.model=C;var z=(E+1)%3,P=(E+2)%3,I=k(m),O=k(v);I[z]=1,O[P]=1;var D=h(0,0,0,M(y,I)),R=h(0,0,0,M(x,O));if(Math.abs(D[1])>Math.abs(R[1])){var B=D;D=R,R=B,B=I,I=O,O=B;var F=z;z=P,P=F}D[0]<0&&(I[z]=-1),R[1]>0&&(O[P]=-1);var N=0,j=0;for(L=0;L<4;++L)N+=Math.pow(f[4*z+L],2),j+=Math.pow(f[4*P+L],2);I[z]/=Math.sqrt(N),O[P]/=Math.sqrt(j),u.axes[0]=I,u.axes[1]=O,u.fragClipBounds[0]=A(_,S[0],E,-1e8),u.fragClipBounds[1]=A(_,S[1],E,1e8),e.vao.draw(l.TRIANGLES,e.vertexCount),e.lineWidth>0&&(l.lineWidth(e.lineWidth),e.vao.draw(l.LINES,e.lineVertexCount,e.vertexCount))}}var S=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function E(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||c,s.view=n.view||c,s.projection=n.projection||c,g[0]=2/o.drawingBufferWidth,g[1]=2/o.drawingBufferHeight,s.screenSize=g,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=S,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}T(e,r,n,i),r.vao.unbind()}d.draw=function(t){E(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},d.drawTransparent=function(t){E(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},d.drawPick=function(t){E(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},d.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},d.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]},d.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(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",o=t.alignment||[0,0],s=[1/0,1/0,1/0],c=[-1/0,-1/0,-1/0],u=t.glyph,h=t.color,f=t.size,p=t.angle,d=t.lineColor,g=0,m=0,v=0,y=n.length;t:for(var x=0;x<y;++x){for(var b=n[x],_=0;_<3;++_)if(isNaN(b[_])||!isFinite(b[_]))continue t;var w=(B=Array.isArray(u)?l(u[x],i):l(u||\"\\u25cf\",i))[0],k=B[1],M=B[2];m+=3*w.cells.length,v+=2*k.edges.length}var A=m+v,T=a.mallocFloat(3*A),S=a.mallocFloat(4*A),E=a.mallocFloat(2*A),C=a.mallocUint32(A),L=[0,o[1]],z=0,P=m,I=[0,0,0,1],O=[0,0,0,1],D=Array.isArray(h)&&Array.isArray(h[0]),R=Array.isArray(d)&&Array.isArray(d[0]);t:for(x=0;x<y;++x){var B;for(b=n[x],_=0;_<3;++_){if(isNaN(b[_])||!isFinite(b[_])){g+=1;continue t}c[_]=Math.max(c[_],b[_]),s[_]=Math.min(s[_],b[_])}var F;w=(B=Array.isArray(u)?l(u[x],i):l(u||\"\\u25cf\",i))[0],k=B[1],M=B[2];if(Array.isArray(h)){if(3===(F=D?h[x]:h).length){for(_=0;_<3;++_)I[_]=F[_];I[3]=1}else if(4===F.length)for(_=0;_<4;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;if(Array.isArray(d)){if(3===(F=R?d[x]:d).length){for(_=0;_<3;++_)O[_]=F[_];O[_]=1}else if(4===F.length)for(_=0;_<4;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(f)?N=+f[x]:f?N=+f:this.useOrtho&&(N=12);var j=0;Array.isArray(p)?j=+p[x]:p&&(j=+p);var V=Math.cos(j),U=Math.sin(j);for(b=n[x],_=0;_<3;++_)c[_]=Math.max(c[_],b[_]),s[_]=Math.min(s[_],b[_]);o[0]<0?L[0]=o[0]*(1+M[1][0]):o[0]>0&&(L[0]=-o[0]*(1+M[0][0]));var q=w.cells,H=w.positions;for(_=0;_<q.length;++_)for(var G=q[_],W=0;W<3;++W){for(var Y=0;Y<3;++Y)T[3*z+Y]=b[Y];for(Y=0;Y<4;++Y)S[4*z+Y]=I[Y];C[z]=g;var X=H[G[W]];E[2*z]=N*(V*X[0]-U*X[1]+L[0]),E[2*z+1]=N*(U*X[0]+V*X[1]+L[1]),z+=1}for(q=k.edges,H=k.positions,_=0;_<q.length;++_)for(G=q[_],W=0;W<2;++W){for(Y=0;Y<3;++Y)T[3*P+Y]=b[Y];for(Y=0;Y<4;++Y)S[4*P+Y]=O[Y];C[P]=g;X=H[G[W]];E[2*P]=N*(V*X[0]-U*X[1]+L[0]),E[2*P+1]=N*(U*X[0]+V*X[1]+L[1]),P+=1}g+=1}this.vertexCount=m,this.lineVertexCount=v,this.pointBuffer.update(T),this.colorBuffer.update(S),this.glyphBuffer.update(E),this.idBuffer.update(new Uint32Array(C)),a.free(T),a.free(S),a.free(E),a.free(C),this.bounds=[s,c],this.points=n,this.pointCount=n.length}},d.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/glyphs\":281,\"./lib/shaders\":282,\"gl-buffer\":230,\"gl-mat4/multiply\":256,\"gl-vao\":308,\"typedarray-pool\":507}],284:[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:377}],285:[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,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,i),o.drawBox(0,f,h,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,f,g,d,i)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,a),o.drawBox(h-v,d-v,p+v,d+v,a),o.drawBox(h-v,f-v,h+v,d+v,a),o.drawBox(p-v,f-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\":284,\"gl-buffer\":230,\"gl-shader\":287}],286:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=n(t,e),a=i.mallocUint8(e[0]*e[1]*4);return new c(t,r,a)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",args:[{name:\"_inline_16_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64});function l(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function c(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=c.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),u.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var 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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)}},{}],295:[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\":287,glslify:377}],296:[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 h=new s(t,l,c,u);return h.update(e),h};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],h=[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 f=c,p=u,d=0;d<3;++d)i&&i[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;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\":295,\"gl-buffer\":230,\"gl-vao\":308}],297:[function(t,e,r){arguments[4][232][0].apply(r,arguments)},{barycentric:61,dup:232,\"polytope-closest-point/lib/closest_point_2d.js\":448}],298:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat inverse(float m) {\\n  return 1.0 / m;\\n}\\n\\nmat2 inverse(mat2 m) {\\n  return mat2(m[1][1],-m[0][1],\\n             -m[1][0], m[0][0]) / (m[0][0]*m[1][1] - m[0][1]*m[1][0]);\\n}\\n\\nmat3 inverse(mat3 m) {\\n  float a00 = m[0][0], a01 = m[0][1], a02 = m[0][2];\\n  float a10 = m[1][0], a11 = m[1][1], a12 = m[1][2];\\n  float a20 = m[2][0], a21 = m[2][1], a22 = m[2][2];\\n\\n  float b01 = a22 * a11 - a12 * a21;\\n  float b11 = -a22 * a10 + a12 * a20;\\n  float b21 = a21 * a10 - a11 * a20;\\n\\n  float det = a00 * b01 + a01 * b11 + a02 * b21;\\n\\n  return mat3(b01, (-a22 * a01 + a02 * a21), (a12 * a01 - a02 * a11),\\n              b11, (a22 * a00 - a02 * a20), (-a12 * a00 + a02 * a10),\\n              b21, (-a21 * a00 + a01 * a20), (a11 * a00 - a01 * a10)) / det;\\n}\\n\\nmat4 inverse(mat4 m) {\\n  float\\n      a00 = m[0][0], a01 = m[0][1], a02 = m[0][2], a03 = m[0][3],\\n      a10 = m[1][0], a11 = m[1][1], a12 = m[1][2], a13 = m[1][3],\\n      a20 = m[2][0], a21 = m[2][1], a22 = m[2][2], a23 = m[2][3],\\n      a30 = m[3][0], a31 = m[3][1], a32 = m[3][2], a33 = m[3][3],\\n\\n      b00 = a00 * a11 - a01 * a10,\\n      b01 = a00 * a12 - a02 * a10,\\n      b02 = a00 * a13 - a03 * a10,\\n      b03 = a01 * a12 - a02 * a11,\\n      b04 = a01 * a13 - a03 * a11,\\n      b05 = a02 * a13 - a03 * a12,\\n      b06 = a20 * a31 - a21 * a30,\\n      b07 = a20 * a32 - a22 * a30,\\n      b08 = a20 * a33 - a23 * a30,\\n      b09 = a21 * a32 - a22 * a31,\\n      b10 = a21 * a33 - a23 * a31,\\n      b11 = a22 * a33 - a23 * a32,\\n\\n      det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\\n\\n  return mat4(\\n      a11 * b11 - a12 * b10 + a13 * b09,\\n      a02 * b10 - a01 * b11 - a03 * b09,\\n      a31 * b05 - a32 * b04 + a33 * b03,\\n      a22 * b04 - a21 * b05 - a23 * b03,\\n      a12 * b08 - a10 * b11 - a13 * b07,\\n      a00 * b11 - a02 * b08 + a03 * b07,\\n      a32 * b02 - a30 * b05 - a33 * b01,\\n      a20 * b05 - a22 * b02 + a23 * b01,\\n      a10 * b10 - a11 * b08 + a13 * b06,\\n      a01 * b08 - a00 * b10 - a03 * b06,\\n      a30 * b04 - a31 * b02 + a33 * b00,\\n      a21 * b02 - a20 * b04 - a23 * b00,\\n      a11 * b07 - a10 * b09 - a12 * b06,\\n      a00 * b09 - a01 * b07 + a02 * b06,\\n      a31 * b01 - a30 * b03 - a32 * b00,\\n      a20 * b03 - a21 * b01 + a22 * b00) / det;\\n}\\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;\\nuniform float tubeScale;\\n\\nuniform mat4 model\\n           , view\\n           , projection;\\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\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal), 0.0);\\n  normal = normalize(normal * inverse(mat3(model)));\\n\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n  f_color          = color;\\n  f_normal         = normal;\\n  f_data           = tubePosition.xyz;\\n  f_eyeDirection   = eyePosition   - tubePosition.xyz;\\n  f_lightDirection = lightPosition - tubePosition.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"precision mediump 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\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\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  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 = cookTorranceSpecular(L, V, N, roughness, fresnel);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor =  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}\"]),o=n([\"precision mediump 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  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal), 0.0);\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"normal\",type:\"vec3\"},{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:377}],299:[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\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./shaders\"),g=(t(\"./closest-point\"),d.meshShader),m=d.pickShader,v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,y,x,b,_,w,k,M,A,T,S,E){this.gl=t,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.triangleVectors=c,this.triangleColors=h,this.triangleNormals=p,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=g,this.edgeColors=y,this.edgeUVs=x,this.edgeIds=m,this.edgeVAO=b,this.edgeCount=0,this.pointPositions=_,this.pointColors=k,this.pointUVs=M,this.pointSizes=A,this.pointIds=w,this.pointVAO=T,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=S,this.contourVAO=E,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!1,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.tubeScale=1,this._model=v,this._view=v,this._projection=v,this._resolution=[1,1]}var x=y.prototype;function b(t){var e=n(t,m.vertex,m.fragment,null,m.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}x.isOpaque=function(){return this.opacity>=1},x.isTransparent=function(){return this.opacity<1},x.pickSlots=1,x.setPickBase=function(t){this.pickId=t},x.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=i[h],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},x.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),\"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),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){for(var e=h({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale);var a=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[],w=[],k=[];this.cells=r,this.positions=n,this.vectors=i;var M=t.vertexNormals,A=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,S=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!A&&(A=s.faceNormals(r,n,S)),A||M||(M=s.vertexNormals(r,n,T));var E=t.vertexColors,C=t.cellColors,L=t.meshColor||[1,1,1,1],z=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,D=1/0,R=-1/0;if(!z&&!I)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],R=+t.vertexIntensityBounds[1];else for(var B=0;B<P.length;++B){var F=P[B];D=Math.min(D,F),R=Math.max(R,F)}else if(O)for(B=0;B<O.length;++B){F=O[B];D=Math.min(D,F),R=Math.max(R,F)}else for(B=0;B<n.length;++B){F=n[B][2];D=Math.min(D,F),R=Math.max(R,F)}this.intensity=P||(O?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,O):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var N=t.pointSizes,j=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(B=0;B<n.length;++B)for(var V=n[B],U=0;U<3;++U)!isNaN(V[U])&&isFinite(V[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],V[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],V[U]));var q=0,H=0,G=0;t:for(B=0;B<r.length;++B){var W=r[B];switch(W.length){case 1:for(V=n[X=W[0]],U=0;U<3;++U)if(isNaN(V[U])||!isFinite(V[U]))continue t;x.push(V[0],V[1],V[2],V[3]),3===(Z=E?E[X]:C?C[B]:L).length?b.push(Z[0],Z[1],Z[2],1):b.push(Z[0],Z[1],Z[2],Z[3]),$=z?z[X]:P?[(P[X]-D)/(R-D),0]:I?I[B]:O?[(O[B]-D)/(R-D),0]:[(V[2]-D)/(R-D),0],_.push($[0],$[1]),N?w.push(N[X]):w.push(j),k.push(B),G+=1;break;case 2:for(U=0;U<2;++U){V=n[X=W[U]];for(var Y=0;Y<3;++Y)if(isNaN(V[Y])||!isFinite(V[Y]))continue t}for(U=0;U<2;++U){V=n[X=W[U]];g.push(V[0],V[1],V[2]),3===(Z=E?E[X]:C?C[B]:L).length?m.push(Z[0],Z[1],Z[2],1):m.push(Z[0],Z[1],Z[2],Z[3]),$=z?z[X]:P?[(P[X]-D)/(R-D),0]:I?I[B]:O?[(O[B]-D)/(R-D),0]:[(V[2]-D)/(R-D),0],v.push($[0],$[1]),y.push(B)}H+=1;break;case 3:for(U=0;U<3;++U)for(V=n[X=W[U]],Y=0;Y<3;++Y)if(isNaN(V[Y])||!isFinite(V[Y]))continue t;for(U=0;U<3;++U){var X;V=n[X=W[U]];a.push(V[0],V[1],V[2],V[3]);var Z,$,J,K=i[X];l.push(K[0],K[1],K[2],K[3]),3===(Z=E?E[X]:C?C[B]:L).length?c.push(Z[0],Z[1],Z[2],1):c.push(Z[0],Z[1],Z[2],Z[3]),$=z?z[X]:P?[(P[X]-D)/(R-D),0]:I?I[B]:O?[(O[B]-D)/(R-D),0]:[(V[2]-D)/(R-D),0],p.push($[0],$[1]),J=M?M[X]:A[B],f.push(J[0],J[1],J[2]),d.push(B)}q+=1}}this.pointCount=G,this.edgeCount=H,this.triangleCount=q,this.pointPositions.update(x),this.pointColors.update(b),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(k)),this.edgePositions.update(g),this.edgeColors.update(m),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(c),this.triangleUVs.update(p),this.triangleNormals.update(f),this.triangleIds.update(new Uint32Array(d))}},x.drawTransparent=x.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||v,n=t.view||v,i=t.projection||v,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,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,contourColor:this.contourColor,texture:0};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 h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},x.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||v,n=t.view||v,i=t.projection||v,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,tubeScale:this.tubeScale,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),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())},x.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);return{index:e,position:n,intensity:this.intensity[r[1]],velocity:this.vectors[r[1]].slice(0,3),divergence:this.vectors[r[1]][3],dataCoordinate:n}},x.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.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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=b(t),l=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var c=i(t),h=i(t),f=i(t),p=i(t),d=i(t),m=i(t),v=a(t,[{buffer:c,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:f,type:t.FLOAT,size:4},{buffer:p,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:3},{buffer:h,type:t.FLOAT,size:4}]),x=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:x,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}]),A=i(t),T=i(t),S=i(t),E=i(t),C=i(t),L=a(t,[{buffer:A,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2},{buffer:E,type:t.FLOAT,size:1}]),z=i(t),P=new y(t,l,r,null,null,s,null,null,c,h,m,f,p,d,v,x,k,_,w,M,A,C,T,S,E,L,z,a(t,[{buffer:z,type:t.FLOAT,size:3}]));return P.update(e),P}},{\"./closest-point\":297,\"./shaders\":298,colormap:113,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-shader\":287,\"gl-texture2d\":303,\"gl-vao\":308,ndarray:417,normals:420,\"simplicial-complex-contour\":479,\"typedarray-pool\":507}],300:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=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++){var u=n.length(l[c]);u>o&&(o=u)}var h=t.map(function(t){return function(t,e,r,a){var o,s,l,c=t.points,u=t.velocities,h=t.divergences;n.set(n.create(),0,1,0),n.create(),n.create();n.create();for(var f=[],p=[],d=[],g=[],m=[],v=[],y=0,x=0,b=i.create(),_=i.create(),w=0;w<c.length;w++){o=c[w],s=u[w],l=h[w],0===e&&(l=.05*r),x=n.length(s)/a,b=i.create(),n.copy(b,s),b[3]=l;for(var k=0;k<8;k++)m[k]=[o[0],o[1],o[2],k];if(g.length>0)for(k=0;k<8;k++){var M=(k+1)%8;f.push(g[k],m[k],m[M],m[M],g[M],g[k]),d.push(_,b,b,b,_,_),v.push(y,x,x,x,y,y),p.push([f.length-6,f.length-5,f.length-4],[f.length-3,f.length-2,f.length-1])}var A=g;g=m,m=A,A=_,_=b,b=A,A=y,y=x,x=A}return{positions:f,cells:p,vectors:d,vertexIntensity:v}}(t,r,a,o)}),f=[],p=[],d=[],g=[];for(s=0;s<h.length;s++){var m=h[s],v=f.length;f=f.concat(m.positions),d=d.concat(m.vectors),g=g.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var y=m.cells[c],x=[];p.push(x);for(var b=0;b<y.length;b++)x.push(y[b]+v)}}return{positions:f,cells:p,vectors:d,vertexIntensity:g,colormap:e}},o=function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=this.getVelocity(r);n.subtract(a,a,e),n.scale(a,a,1e4),n.add(r,t,[0,i,0]);var o=this.getVelocity(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,i]);var s=this.getVelocity(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,a,o),n.add(r,r,s),r},s=function(t){return f(t,this.vectors,this.meshgrid,this.clampBorders)},l=function(t,e){for(var r=0;r<t.length;r++){var n=t[r];if(n===e)return r;if(n>e)return r-1}return r},c=n.create(),u=n.create(),h=function(t,e,r){return t<e?e:t>r?r:t},f=function(t,e,r,i){var a=t[0],o=t[1],s=t[2],f=r[0].length,p=r[1].length,d=r[2].length,g=l(r[0],a),m=l(r[1],o),v=l(r[2],s),y=g+1,x=m+1,b=v+1;if(r[0][g]===a&&(y=g),r[1][m]===o&&(x=m),r[2][v]===s&&(b=v),i&&(g=h(g,0,f-1),y=h(y,0,f-1),m=h(m,0,p-1),x=h(x,0,p-1),v=h(v,0,d-1),b=h(b,0,d-1)),g<0||m<0||v<0||y>=f||x>=p||b>=d)return n.create();var _=(a-r[0][g])/(r[0][y]-r[0][g]),w=(o-r[1][m])/(r[1][x]-r[1][m]),k=(s-r[2][v])/(r[2][b]-r[2][v]);(_<0||_>1||isNaN(_))&&(_=0),(w<0||w>1||isNaN(w))&&(w=0),(k<0||k>1||isNaN(k))&&(k=0);var M=v*f*p,A=b*f*p,T=m*f,S=x*f,E=g,C=y,L=e[T+M+E],z=e[T+M+C],P=e[S+M+E],I=e[S+M+C],O=e[T+A+E],D=e[T+A+C],R=e[S+A+E],B=e[S+A+C],F=n.create();return n.lerp(F,L,z,_),n.lerp(c,P,I,_),n.lerp(F,F,c,w),n.lerp(c,O,D,_),n.lerp(u,R,B,_),n.lerp(c,c,u,w),n.lerp(F,F,c,k),F},p=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=1;r<t.length;r++){var n=Math.abs(t[r]-t[r-1]);n<e&&(e=n)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,l=t.tubeSize||1,c=t.absoluteTubeSize;t.getDivergence||(t.getDivergence=o),t.getVelocity||(t.getVelocity=s),void 0===t.clampBorders&&(t.clampBorders=!0);var u=[],h=e[0][0],f=e[0][1],d=e[0][2],g=e[1][0],m=e[1][1],v=e[1][2],y=function(t,e){var r=e[0],n=e[1],i=e[2];return r>=h&&r<=g&&n>=f&&n<=m&&i>=d&&i<=v},x=10*n.distance(e[0],e[1])/i,b=x*x,_=1,w=0;n.create();r.length>=2&&(_=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=0;s<t.length;s++){var l=t[s],c=l[0],u=l[1],h=l[2];i[c]||(e.push(c),i[c]=!0),a[u]||(r.push(u),a[u]=!0),o[h]||(n.push(h),o[h]=!0)}var f=p(e),d=p(r),g=p(n),m=Math.min(f,d,g);return isFinite(m)?m:1}(r));for(var k=0;k<r.length;k++){var M=n.create();n.copy(M,r[k]);var A=[M],T=[],S=t.getVelocity(M),E=M;T.push(S);var C=[],L=t.getDivergence(M,S);(O=n.length(L))>w&&!isNaN(O)&&isFinite(O)&&(w=O),C.push(O),u.push({points:A,velocities:T,divergences:C});for(var z=0;z<100*i&&A.length<i&&y(0,M);){z++;var P=n.clone(S),I=n.squaredLength(P);if(0===I)break;if(I>b&&n.scale(P,P,x/Math.sqrt(I)),n.add(P,P,M),S=t.getVelocity(P),n.squaredDistance(E,P)-b>-1e-4*b){A.push(P),E=P,T.push(S);L=t.getDivergence(P,S);(O=n.length(L))>w&&!isNaN(O)&&isFinite(O)&&(w=O),C.push(O)}M=P}}for(k=0;k<C.length;k++){var O=C[k];!isNaN(O)&&isFinite(O)||(C[k]=w)}var D=a(u,t.colormap,w,_);return c?D.tubeScale=c:(0===w&&(w=1),D.tubeScale=.5*l*_/w),D},e.exports.createTubeMesh=t(\"./lib/tubemesh\")},{\"./lib/tubemesh\":299,\"gl-vec3\":320,\"gl-vec4\":350}],301:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\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  worldCoordinate = vec3(uv.zw, f.x);\\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 mediump 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\\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 (kill > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\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 = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + 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 mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\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  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\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 mediump float;\\n#define GLSLIFY 1\\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    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    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\":287,glslify:377}],302:[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:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d),v={levels:[[],[],[]]};for(var k in t)v[k]=t[k];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\"),h=t(\"ndarray\"),f=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=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],M=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function T(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,c,u,f,p,d,g){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new T([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=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var C=E.prototype;C.isTransparent=function(){return this.opacity<1},C.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],z={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=z.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=z.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 z.showSurface=o,z.showContour=s,z}var I={model:k,view:k,projection:k,inverseModel:k.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,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,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.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(n,this);if(u.showSurface&&e===this.opacity<1){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&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g])}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var B={model:k,view:k,projection:k,inverseModel:k,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function F(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))}function N(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function j(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 V(t){if(Array.isArray(t)){if(Array.isArray(t))return[j(t[0]),j(t[1]),j(t[2])];var e=j(t);return[e.slice(),e.slice(),e.slice()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=B;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,m=h*(f?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},C.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=N(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=N(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=N(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=V(t.contourColor)),\"contourProject\"in t&&(this.contourProject=N(t.contourProject,function(t){return N(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=V(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=N(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=N(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),F(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==a[b])throw new Error(\"gl-surface: coords have incorrect shape\");F(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,a);y.stride[o]=v.stride[0],y.stride[1^o]=0,F(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<a[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),b=0;b<a[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,a[1]+1,a[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(b=0;b<a[1]+2;++b){var A=w.get(0,o,b,0),T=w.get(0,o,b,1),E=w.get(1,o,b,0),C=w.get(1,o,b,1),L=w.get(2,o,b,0),z=w.get(2,o,b,1),P=E*z-C*L,I=L*T-z*A,O=A*C-T*E,D=Math.sqrt(P*P+I*I+O*O);D<1e-8?(D=Math.max(Math.abs(P),Math.abs(I),Math.abs(O)))<1e-8?(O=1,I=P=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,P*D),k.set(o,b,1,I*D),k.set(o,b,2,O*D)}s.free(w.data);var R=[1/0,1/0,1/0],B=[-1/0,-1/0,-1/0],j=1/0,U=-1/0,q=(a[0]-1)*(a[1]-1)*6,H=s.mallocFloat(n.nextPow2(10*q)),G=0,W=0;for(o=0;o<a[0]-1;++o)t:for(b=0;b<a[1]-1;++b){for(var Y=0;Y<2;++Y)for(var X=0;X<2;++X)for(var Z=0;Z<3;++Z){var $=this._field[Z].get(1+o+Y,1+b+X);if(isNaN($)||!isFinite($))continue t}for(Z=0;Z<6;++Z){var J=o+M[Z][0],K=b+M[Z][1],Q=this._field[0].get(J+1,K+1),tt=this._field[1].get(J+1,K+1),et=$=this._field[2].get(J+1,K+1);P=k.get(J+1,K+1,0),I=k.get(J+1,K+1,1),O=k.get(J+1,K+1,2),t.intensity&&(et=t.intensity.get(J,K)),H[G++]=J,H[G++]=K,H[G++]=Q,H[G++]=tt,H[G++]=$,H[G++]=0,H[G++]=et,H[G++]=P,H[G++]=I,H[G++]=O,R[0]=Math.min(R[0],Q),R[1]=Math.min(R[1],tt),R[2]=Math.min(R[2],$),j=Math.min(j,et),B[0]=Math.max(B[0],Q),B[1]=Math.max(B[1],tt),B[2]=Math.max(B[2],$),U=Math.max(U,et),W+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],U=+t.intensityBounds[1]),o=6;o<G;o+=10)H[o]=(H[o]-j)/(U-j);this._vertexCount=W,this._coordinateBuffer.update(H.subarray(0,G)),s.freeFloat(H),s.free(k.data),this.bounds=[R,B],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===U||(r=!0),this.intensityBounds=[j,U]}if(\"levels\"in t){var rt=t.levels;for(rt=Array.isArray(rt[0])?rt.slice():[[],[],rt],o=0;o<3;++o)rt[o]=rt[o].slice(),rt.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if(rt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<rt[o].length;++b)if(rt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=rt}if(r){_=this._field,a=this.shape;for(var nt=[],it=0;it<3;++it){rt=this.contourLevels[it];var at=[],ot=[],st=[0,0,0];for(o=0;o<rt.length;++o){var lt=f(this._field[it],rt[o]);at.push(nt.length/5|0),W=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(Z=0;Z<2;++Z){var ut=lt.positions[ct[Z]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),mt=dt-gt,vt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(it+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),a[0]),X=0;X<2;++X){var _t=X?mt:1-mt;if(K=0|Math.min(Math.max(gt+X,0),a[1]),$=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite($)||isNaN($)){vt=!0;break e}var wt=bt*_t;st[yt]+=wt*$}}}if(vt){if(Z>0){for(var kt=0;kt<5;++kt)nt.pop();W-=1}continue t}nt.push(st[0],st[1],ut[0],ut[1],st[2]),W+=1}}ot.push(W)}this._contourOffsets[it]=at,this._contourCounts[it]=ot}var Mt=s.mallocFloat(nt.length);for(o=0;o<nt.length;++o)Mt[o]=nt[o];this._contourBuffer.update(Mt),s.freeFloat(Mt)}t.colormap&&this._colorMap.setPixels(function(t){var e=u([l({colormap:t,nshades:S,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return c.divseq(e,255),e}(t.colormap))},C.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},C.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=(this.intensity,f(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]),k=b-_,M=1-k,A=+x[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,C=1-E,L=M*C,z=M*E,P=k*C,I=k*E,O=L*h.get(_,T)+z*h.get(_,S)+P*h.get(w,T)+I*h.get(w,S),D=L*p.get(_,T)+z*p.get(_,S)+P*p.get(w,T)+I*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\":301,\"binary-search-bounds\":79,\"bit-twiddle\":80,colormap:113,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-texture2d\":303,\"gl-vao\":308,ndarray:417,\"ndarray-gradient\":408,\"ndarray-ops\":411,\"ndarray-pack\":412,\"surface-nets\":493,\"typedarray-pool\":507}],303:[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||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t);if(\"number\"==typeof arguments[1])return m(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return m(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,m=0;if(2===o.length)m=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])m=t.ALPHA;else if(2===o[2])m=t.LUMINANCE_ALPHA;else if(3===o[2])m=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)h=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];p=a.malloc(v,r);var x=n(p,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,v)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,m,o[0],o[1],0,m,c,h),l||a.free(p);return new f(t,b,o[0],o[1],m,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function m(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new f(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=he(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new O(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Ke({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Ke({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new O(s,e[s],'unknown property \"'+s+'\"')])}return a}function $e(t){var e=t.value,r=t.key,n=he(e);return\"string\"!==n?[new O(r,e,\"string expected, \"+n+\" found\")]:[]}var Je={\"*\":function(){return[]},array:Ce,boolean:function(t){var e=t.value,r=t.key,n=he(e);return\"boolean\"!==n?[new O(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Le,color:function(t){var e=t.key,r=t.value,n=he(r);return\"string\"!==n?[new O(e,r,\"color expected, \"+n+\" found\")]:null===Q(r)?[new O(e,r,'color expected, \"'+r+'\" 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h=r/e*t;this.min=-h,this.max=t+h}ur.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)},ur.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},ur.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},ur.prototype.query=function(t,e,r,n){var i=this.min,a=this.max;if(t<=i&&e<=i&&a<=r&&a<=n)return Array.prototype.slice.call(this.keys);var o=[];return this._forEachCell(t,e,r,n,this._queryCell,o,{}),o},ur.prototype._queryCell=function(t,e,r,n,i,a,o){var s=this.cells[i];if(null!==s)for(var l=this.keys,c=this.bboxes,u=0;u<s.length;u++){var h=s[u];if(void 0===o[h]){var f=4*h;t<=c[f+2]&&e<=c[f+3]&&r>=c[f+0]&&n>=c[f+1]?(o[h]=!0,a.push(l[h])):o[h]=!1}}},ur.prototype._forEachCell=function(t,e,r,n,i,a,o){for(var s=this._convertToCellCoord(t),l=this._convertToCellCoord(e),c=this._convertToCellCoord(r),u=this._convertToCellCoord(n),h=s;h<=c;h++)for(var f=l;f<=u;f++){var p=this.d*f+h;if(i.call(this,t,e,r,n,p,a,o))return}},ur.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ur.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=cr+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[cr+o]=a,i.set(s,a),a+=s.length}return i[cr+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[cr+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var hr=self.ImageData,fr={};function pr(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),fr[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var dr in pr(\"Object\",Object),lr.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),r},lr.deserialize=function(t){return new lr(t)},pr(\"Grid\",lr),pr(\"Color\",tt),pr(\"Error\",Error),pr(\"StylePropertyFunction\",Te),pr(\"StyleExpression\",be,{omit:[\"_evaluator\"]}),pr(\"ZoomDependentExpression\",Me),pr(\"ZoomConstantExpression\",ke),pr(\"CompoundExpression\",gt,{omit:[\"_evaluate\"]}),Rt)Rt[dr]._classRegistryKey||pr(\"Expression_\"+dr,Rt[dr]);function gr(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(t instanceof ArrayBuffer)return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof hr)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(gr(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var c={};if(s.serialize)c._serialized=s.serialize(t,e);else{for(var u in t)if(t.hasOwnProperty(u)&&!(fr[l].omit.indexOf(u)>=0)){var h=t[u];c[u]=fr[l].shallow.indexOf(u)>=0?h:gr(h,e)}t instanceof Error&&(c.message=t.message)}return{name:l,properties:c}}throw new Error(\"can't serialize object of type \"+typeof t)}function mr(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||t instanceof ArrayBuffer||ArrayBuffer.isView(t)||t instanceof hr)return t;if(Array.isArray(t))return t.map(function(t){return mr(t)});if(\"object\"==typeof t){var e=t,r=e.name,n=e.properties;if(!r)throw new Error(\"can't 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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 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br(t){return!(yr.Arabic(t)||yr[\"Arabic Supplement\"](t)||yr[\"Arabic Extended-A\"](t)||yr[\"Arabic Presentation Forms-A\"](t)||yr[\"Arabic Presentation Forms-B\"](t))}function _r(t){return!!(746===t||747===t||!(t<4352)&&(yr[\"Bopomofo Extended\"](t)||yr.Bopomofo(t)||yr[\"CJK Compatibility Forms\"](t)&&!(t>=65097&&t<=65103)||yr[\"CJK Compatibility Ideographs\"](t)||yr[\"CJK Compatibility\"](t)||yr[\"CJK Radicals Supplement\"](t)||yr[\"CJK Strokes\"](t)||!(!yr[\"CJK Symbols and Punctuation\"](t)||t>=12296&&t<=12305||t>=12308&&t<=12319||12336===t)||yr[\"CJK Unified Ideographs Extension A\"](t)||yr[\"CJK Unified Ideographs\"](t)||yr[\"Enclosed CJK Letters and Months\"](t)||yr[\"Hangul Compatibility Jamo\"](t)||yr[\"Hangul Jamo Extended-A\"](t)||yr[\"Hangul Jamo Extended-B\"](t)||yr[\"Hangul Jamo\"](t)||yr[\"Hangul Syllables\"](t)||yr.Hiragana(t)||yr[\"Ideographic Description Characters\"](t)||yr.Kanbun(t)||yr[\"Kangxi Radicals\"](t)||yr[\"Katakana Phonetic 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Pr=function(t){this.property=t,this.value=new zr(t,void 0)};Pr.prototype.transitioned=function(t,e){return new Or(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Pr.prototype.untransitioned=function(){return new Or(this.property,this.value,null,{},0)};var Ir=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Ir.prototype.getValue=function(t){return x(this._values[t].value.value)},Ir.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Pr(this._values[t].property)),this._values[t].value=new zr(this._values[t].property,null===e?void 0:x(e))},Ir.prototype.getTransition=function(t){return x(this._values[t].transition)},Ir.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Pr(this._values[t].property)),this._values[t].transition=x(e)||void 0},Ir.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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this.property.interpolate(n.possiblyEvaluate(t),r,function(t){if(i<=0)return 0;if(i>=1)return 1;var e=i*i,r=e*i;return 4*(i<.5?r:3*(i-e)+r-.75)}())}return r};var Dr=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Dr.prototype.possiblyEvaluate=function(t){for(var e=new Fr(this._properties),r=0,n=Object.keys(this._values);r<n.length;r+=1){var i=n[r];e._values[i]=this._values[i].possiblyEvaluate(t)}return e},Dr.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Rr=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Rr.prototype.getValue=function(t){return x(this._values[t].value)},Rr.prototype.setValue=function(t,e){this._values[t]=new zr(this._values[t].property,null===e?void 0:x(e))},Rr.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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jr=function(t){this.specification=t};jr.prototype.possiblyEvaluate=function(t,e){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Br(this,{kind:\"constant\",value:t.expression.evaluate(e)},e):new Br(this,t.expression,e)},jr.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 Br(this,{kind:\"constant\",value:void 0},t.globals);var n=kt[this.specification.type];return n?new Br(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.globals):t},jr.prototype.evaluate=function(t,e,r){return\"constant\"===t.kind?t.value:t.evaluate(e,r)};var Vr=function(t){this.specification=t};Vr.prototype.possiblyEvaluate=function(t,e){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var r=t.expression.evaluate(e);return this._calculate(r,r,r,e)}return this._calculate(t.expression.evaluate(new Lr(Math.floor(e.zoom-1),e)),t.expression.evaluate(new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(or,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=\"none\"===e?e:\"visible\"},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(null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(ar,n,t,e,r))return}m(t,\"-transition\")?this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 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Math.ceil(t/e)*e}Yr.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Yr.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},Yr.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Yr.prototype.clear=function(){this.length=0},Yr.prototype.resize=function(t){this.reserve(t),this.length=t},Yr.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)}},Yr.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray 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this.int16[a+0]=t,this.int16[a+1]=e,this.int16[a+2]=r,this.int16[a+3]=n,i},e}(Yr);Jr.prototype.bytesPerElement=8,pr(\"StructArrayLayout4i8\",Jr);var Kr=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;this.resize(o+1);var s=6*o;return this.int16[s+0]=t,this.int16[s+1]=e,this.int16[s+2]=r,this.int16[s+3]=n,this.int16[s+4]=i,this.int16[s+5]=a,o},e}(Yr);Kr.prototype.bytesPerElement=12,pr(\"StructArrayLayout2i4i12\",Kr);var Qr=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new 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this.int16[c+0]=t,this.int16[c+1]=e,this.int16[c+2]=r,this.int16[c+3]=n,this.uint16[c+4]=i,this.uint16[c+5]=a,this.uint16[c+6]=o,this.uint16[c+7]=s,l},e}(Yr);tn.prototype.bytesPerElement=16,pr(\"StructArrayLayout4i4ui16\",tn);var en=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=3*n;return this.float32[i+0]=t,this.float32[i+1]=e,this.float32[i+2]=r,n},e}(Yr);en.prototype.bytesPerElement=12,pr(\"StructArrayLayout3f12\",en);var rn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;this.resize(e+1);var r=1*e;return this.uint32[r+0]=t,e},e}(Yr);rn.prototype.bytesPerElement=4,pr(\"StructArrayLayout1ul4\",rn);var nn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.length;this.resize(h+1);var f=12*h,p=6*h;return this.int16[f+0]=t,this.int16[f+1]=e,this.int16[f+2]=r,this.int16[f+3]=n,this.int16[f+4]=i,this.int16[f+5]=a,this.uint32[p+3]=o,this.uint16[f+8]=s,this.uint16[f+9]=l,this.int16[f+10]=c,this.int16[f+11]=u,h},e}(Yr);nn.prototype.bytesPerElement=24,pr(\"StructArrayLayout6i1ul2ui2i24\",nn);var an=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;this.resize(o+1);var s=6*o;return this.int16[s+0]=t,this.int16[s+1]=e,this.int16[s+2]=r,this.int16[s+3]=n,this.int16[s+4]=i,this.int16[s+5]=a,o},e}(Yr);an.prototype.bytesPerElement=12,pr(\"StructArrayLayout2i2i2i12\",an);var on=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;this.resize(r+1);var n=4*r;return this.uint8[n+0]=t,this.uint8[n+1]=e,r},e}(Yr);on.prototype.bytesPerElement=4,pr(\"StructArrayLayout2ub4\",on);var sn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p){var d=this.length;this.resize(d+1);var g=20*d,m=10*d,v=40*d;return this.int16[g+0]=t,this.int16[g+1]=e,this.uint16[g+2]=r,this.uint16[g+3]=n,this.uint32[m+2]=i,this.uint32[m+3]=a,this.uint32[m+4]=o,this.uint16[g+10]=s,this.uint16[g+11]=l,this.uint16[g+12]=c,this.float32[m+7]=u,this.float32[m+8]=h,this.uint8[v+36]=f,this.uint8[v+37]=p,d},e}(Yr);sn.prototype.bytesPerElement=40,pr(\"StructArrayLayout2i2ui3ul3ui2f2ub40\",sn);var ln=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;this.resize(e+1);var r=1*e;return this.float32[r+0]=t,e},e}(Yr);ln.prototype.bytesPerElement=4,pr(\"StructArrayLayout1f4\",ln);var cn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=3*n;return this.int16[i+0]=t,this.int16[i+1]=e,this.int16[i+2]=r,n},e}(Yr);cn.prototype.bytesPerElement=6,pr(\"StructArrayLayout3i6\",cn);var un=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=2*n,a=4*n;return this.uint32[i+0]=t,this.uint16[a+2]=e,this.uint16[a+3]=r,n},e}(Yr);un.prototype.bytesPerElement=8,pr(\"StructArrayLayout1ul2ui8\",un);var hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=3*n;return this.uint16[i+0]=t,this.uint16[i+1]=e,this.uint16[i+2]=r,n},e}(Yr);hn.prototype.bytesPerElement=6,pr(\"StructArrayLayout3ui6\",hn);var fn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;this.resize(r+1);var n=2*r;return this.uint16[n+0]=t,this.uint16[n+1]=e,r},e}(Yr);fn.prototype.bytesPerElement=4,pr(\"StructArrayLayout2ui4\",fn);var pn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;this.resize(r+1);var n=2*r;return this.float32[n+0]=t,this.float32[n+1]=e,r},e}(Yr);pn.prototype.bytesPerElement=8,pr(\"StructArrayLayout2f8\",pn);var dn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;this.resize(i+1);var a=4*i;return this.float32[a+0]=t,this.float32[a+1]=e,this.float32[a+2]=r,this.float32[a+3]=n,i},e}(Yr);dn.prototype.bytesPerElement=16,pr(\"StructArrayLayout4f16\",dn);var gn=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new l(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Wr);gn.prototype.size=24;var mn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new gn(this,t)},e}(nn);pr(\"CollisionBoxArray\",mn);var vn=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},hidden:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.upperSize.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetX.set=function(t){this._structArray.float32[this._pos4+7]=t},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.lineOffsetY.set=function(t){this._structArray.float32[this._pos4+8]=t},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.writingMode.set=function(t){this._structArray.uint8[this._pos1+36]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+37]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+37]=t},Object.defineProperties(e.prototype,r),e}(Wr);vn.prototype.size=40;var yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new vn(this,t)},e}(sn);pr(\"PlacedSymbolArray\",yn);var xn=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={offsetX:{configurable:!0}};return r.offsetX.get=function(){return this._structArray.float32[this._pos4+0]},r.offsetX.set=function(t){this._structArray.float32[this._pos4+0]=t},Object.defineProperties(e.prototype,r),e}(Wr);xn.prototype.size=4;var bn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e.prototype.get=function(t){return new xn(this,t)},e}(ln);pr(\"GlyphOffsetArray\",bn);var _n=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={x:{configurable:!0},y:{configurable:!0},tileUnitDistanceFromAnchor:{configurable:!0}};return r.x.get=function(){return this._structArray.int16[this._pos2+0]},r.x.set=function(t){this._structArray.int16[this._pos2+0]=t},r.y.get=function(){return this._structArray.int16[this._pos2+1]},r.y.set=function(t){this._structArray.int16[this._pos2+1]=t},r.tileUnitDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+2]},r.tileUnitDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+2]=t},Object.defineProperties(e.prototype,r),e}(Wr);_n.prototype.size=6;var wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e.prototype.get=function(t){return new _n(this,t)},e}(cn);pr(\"SymbolLineVertexArray\",wn);var kn=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+0]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+3]=t},Object.defineProperties(e.prototype,r),e}(Wr);kn.prototype.size=8;var Mn=function(t){function 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Nn=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.layoutVertexArray=new $r,this.indexArray=new hn,this.segments=new Tn,this.programConfigurations=new In(An,t.layers,t.zoom)};function jn(t,e,r){for(var n=0;n<t.length;n++){var i=t[n];if(Zn(i,e))return!0;if(Wn(e,i,r))return!0}return!1}function Vn(t,e){if(1===t.length&&1===t[0].length)return Xn(e,t[0][0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Xn(t,n[i]))return!0;for(var a=0;a<t.length;a++){for(var o=t[a],s=0;s<o.length;s++)if(Xn(e,o[s]))return!0;for(var l=0;l<e.length;l++)if(Hn(o,e[l]))return!0}return!1}function Un(t,e,r){for(var n=0;n<e.length;n++)for(var i=e[n],a=0;a<t.length;a++){var o=t[a];if(o.length>=3)for(var s=0;s<i.length;s++)if(Zn(o,i[s]))return!0;if(qn(o,i,r))return!0}return!1}function qn(t,e,r){if(t.length>1){if(Hn(t,e))return!0;for(var n=0;n<e.length;n++)if(Wn(e[n],t,r))return!0}for(var 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f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var ha=fa;function fa(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(pa,this,e),this.length=this._features.length}function pa(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 da(t,e,r){if(3===t){var n=new ha(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fa.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of 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i=n[r],a=i.feature,o=i.index,s=i.sourceLayerIndex;if(this.layers[0]._featureFilter(new Lr(this.zoom),a)){var l=Bn(a);this.addFeature(a,l),e.featureIndex.insert(a,l,o,s,this.index)}}},wa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},wa.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,oa),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.programConfigurations.upload(t)},wa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},wa.prototype.addFeature=function(t,e){for(var r=this.layers[0].layout,n=r.get(\"line-join\").evaluate(t),i=r.get(\"line-cap\"),a=r.get(\"line-miter-limit\"),o=r.get(\"line-round-limit\"),s=0,l=e;s<l.length;s+=1){var c=l[s];this.addLine(c,t,n,i,a,o)}},wa.prototype.addLine=function(t,e,r,n,i,a){var o=null;e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")&&(o={start:e.properties.mapbox_clip_start,end:e.properties.mapbox_clip_end,tileTotal:void 0});for(var s=\"Polygon\"===ma[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))){o&&(o.tileTotal=function(t,e,r){for(var n,i,a=0,o=c;o<r-1;o++)n=t[o],i=t[o+1],a+=n.dist(i);return a}(t,0,l)),\"bevel\"===r&&(i=1.05);var u=Dn/(512*this.overscaling)*15,h=t[c],f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray);this.distance=0;var p,d,g,m=n,v=s?\"butt\":n,y=!0,x=void 0,b=void 0,_=void 0,w=void 0;this.e1=this.e2=this.e3=-1,s&&(p=t[l-2],w=h.sub(p)._unit()._perp());for(var k=c;k<l;k++)if(!(b=s&&k===l-1?t[c+1]:t[k+1])||!t[k].equals(b)){w&&(_=w),p&&(x=p),p=t[k],w=b?b.sub(p)._unit()._perp():_;var M=(_=_||w).add(w);0===M.x&&0===M.y||M._unit();var A=M.x*w.x+M.y*w.y,T=0!==A?1/A:1/0,S=A<ya&&x&&b;if(S&&k>c){var E=p.dist(x);if(E>2*u){var C=p.sub(p.sub(x)._mult(u/E)._round());this.distance+=C.dist(x),this.addCurrentVertex(C,this.distance,_.mult(1),0,0,!1,f,o),x=C}}var L=x&&b,z=L?r:b?m:v;if(L&&\"round\"===z&&(T<a?z=\"miter\":T<=2&&(z=\"fakeround\")),\"miter\"===z&&T>i&&(z=\"bevel\"),\"bevel\"===z&&(T>2&&(z=\"flipbevel\"),T<i&&(z=\"miter\")),x&&(this.distance+=p.dist(x)),\"miter\"===z)M._mult(T),this.addCurrentVertex(p,this.distance,M,0,0,!1,f,o);else if(\"flipbevel\"===z){if(T>100)M=w.clone().mult(-1);else{var P=_.x*w.y-_.y*w.x>0?-1:1,I=T*_.add(w).mag()/_.sub(w).mag();M._perp()._mult(I*P)}this.addCurrentVertex(p,this.distance,M,0,0,!1,f,o),this.addCurrentVertex(p,this.distance,M.mult(-1),0,0,!1,f,o)}else if(\"bevel\"===z||\"fakeround\"===z){var O=_.x*w.y-_.y*w.x>0,D=-Math.sqrt(T*T-1);if(O?(g=0,d=D):(d=0,g=D),y||this.addCurrentVertex(p,this.distance,_,d,g,!1,f,o),\"fakeround\"===z){for(var R=Math.floor(8*(.5-(A-.5))),B=void 0,F=0;F<R;F++)B=w.mult((F+1)/(R+1))._add(_)._unit(),this.addPieSliceVertex(p,this.distance,B,O,f,o);this.addPieSliceVertex(p,this.distance,M,O,f,o);for(var N=R-1;N>=0;N--)B=_.mult((N+1)/(R+1))._add(w)._unit(),this.addPieSliceVertex(p,this.distance,B,O,f,o)}b&&this.addCurrentVertex(p,this.distance,w,-d,-g,!1,f,o)}else\"butt\"===z?(y||this.addCurrentVertex(p,this.distance,_,0,0,!1,f,o),b&&this.addCurrentVertex(p,this.distance,w,0,0,!1,f,o)):\"square\"===z?(y||(this.addCurrentVertex(p,this.distance,_,1,1,!1,f,o),this.e1=this.e2=-1),b&&this.addCurrentVertex(p,this.distance,w,-1,-1,!1,f,o)):\"round\"===z&&(y||(this.addCurrentVertex(p,this.distance,_,0,0,!1,f,o),this.addCurrentVertex(p,this.distance,_,1,1,!0,f,o),this.e1=this.e2=-1),b&&(this.addCurrentVertex(p,this.distance,w,-1,-1,!0,f,o),this.addCurrentVertex(p,this.distance,w,0,0,!1,f,o)));if(S&&k<l-1){var j=p.dist(b);if(j>2*u){var V=p.add(b.sub(p)._mult(u/j)._round());this.distance+=V.dist(p),this.addCurrentVertex(V,this.distance,w.mult(1),0,0,!1,f,o),p=V}}y=!1}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e)}},wa.prototype.addCurrentVertex=function(t,e,r,n,i,a,o,s){var l,c=this.layoutVertexArray,u=this.indexArray;s&&(e=ka(e,s)),l=r.clone(),n&&l._sub(r.perp()._mult(n)),_a(c,t,l,a,!1,n,e),this.e3=o.vertexLength++,this.e1>=0&&this.e2>=0&&(u.emplaceBack(this.e1,this.e2,this.e3),o.primitiveLength++),this.e1=this.e2,this.e2=this.e3,l=r.mult(-1),i&&l._sub(r.perp()._mult(i)),_a(c,t,l,a,!0,-i,e),this.e3=o.vertexLength++,this.e1>=0&&this.e2>=0&&(u.emplaceBack(this.e1,this.e2,this.e3),o.primitiveLength++),this.e1=this.e2,this.e2=this.e3,e>ba/2&&!s&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a,o))},wa.prototype.addPieSliceVertex=function(t,e,r,n,i,a){r=r.mult(n?-1:1);var o=this.layoutVertexArray,s=this.indexArray;a&&(e=ka(e,a)),_a(o,t,r,!1,n,0,e),this.e3=i.vertexLength++,this.e1>=0&&this.e2>=0&&(s.emplaceBack(this.e1,this.e2,this.e3),i.primitiveLength++),n?this.e2=this.e3:this.e1=this.e3},pr(\"LineBucket\",wa,{omit:[\"layers\"]});var Ma=new qr({\"line-cap\":new Nr(I.layout_line[\"line-cap\"]),\"line-join\":new jr(I.layout_line[\"line-join\"]),\"line-miter-limit\":new Nr(I.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Nr(I.layout_line[\"line-round-limit\"])}),Aa={paint:new qr({\"line-opacity\":new jr(I.paint_line[\"line-opacity\"]),\"line-color\":new jr(I.paint_line[\"line-color\"]),\"line-translate\":new Nr(I.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Nr(I.paint_line[\"line-translate-anchor\"]),\"line-width\":new jr(I.paint_line[\"line-width\"]),\"line-gap-width\":new jr(I.paint_line[\"line-gap-width\"]),\"line-offset\":new jr(I.paint_line[\"line-offset\"]),\"line-blur\":new jr(I.paint_line[\"line-blur\"]),\"line-dasharray\":new Vr(I.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vr(I.paint_line[\"line-pattern\"]),\"line-gradient\":new Ur(I.paint_line[\"line-gradient\"])}),layout:Ma},Ta=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Lr(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n){return r=p({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n)},e}(jr))(Aa.paint.properties[\"line-width\"].specification);Ta.useIntegerZoom=!0;var Sa=function(t){function e(e){t.call(this,e,Aa)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setPaintProperty=function(e,r,n){t.prototype.setPaintProperty.call(this,e,r,n),\"line-gradient\"===e&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=fi(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values[\"line-floorwidth\"]=Ta.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new wa(t)},e.prototype.queryRadius=function(t){var e=t,r=Ea($n(\"line-width\",this,e),$n(\"line-gap-width\",this,e)),n=$n(\"line-offset\",this,e);return r/2+Math.abs(n)+Jn(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a){var o=Kn(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),i.angle,a),s=a/2*Ea(this.paint.get(\"line-width\").evaluate(e),this.paint.get(\"line-gap-width\").evaluate(e)),c=this.paint.get(\"line-offset\").evaluate(e);return c&&(r=function(t,e){for(var r=[],n=new l(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var c=a[s-1],u=a[s],h=a[s+1],f=0===s?n:u.sub(c)._unit()._perp(),p=s===a.length-1?n:h.sub(u)._unit()._perp(),d=f._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),o.push(d._mult(e)._add(u))}r.push(o)}return r}(r,c*a)),Un(o,r,s)},e}(Hr);function Ea(t,e){return e>0?e+2*t:t}var Ca=Xr([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"}]),La=Xr([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4),za=(Xr([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4),Xr([{name:\"a_placed\",components:2,type:\"Uint8\"}],4)),Pa=(Xr([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"radius\"},{type:\"Int16\",name:\"signedDistanceFromAnchor\"}]),Xr([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4)),Ia=Xr([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4);function Oa(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r);return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),Cr.applyArabicShaping&&(t=Cr.applyArabicShaping(t)),t}Xr([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Uint16\",name:\"glyphStartIndex\"},{type:\"Uint16\",name:\"numGlyphs\"},{type:\"Uint32\",name:\"vertexStartIndex\"},{type:\"Uint32\",name:\"lineStartIndex\"},{type:\"Uint32\",name:\"lineLength\"},{type:\"Uint16\",name:\"segment\"},{type:\"Uint16\",name:\"lowerSize\"},{type:\"Uint16\",name:\"upperSize\"},{type:\"Float32\",name:\"lineOffsetX\"},{type:\"Float32\",name:\"lineOffsetY\"},{type:\"Uint8\",name:\"writingMode\"},{type:\"Uint8\",name:\"hidden\"}]),Xr([{type:\"Float32\",name:\"offsetX\"}]),Xr([{type:\"Int16\",name:\"x\"},{type:\"Int16\",name:\"y\"},{type:\"Int16\",name:\"tileUnitDistanceFromAnchor\"}]);var Da={\"!\":\"\\ufe15\",\"#\":\"\\uff03\",$:\"\\uff04\",\"%\":\"\\uff05\",\"&\":\"\\uff06\",\"(\":\"\\ufe35\",\")\":\"\\ufe36\",\"*\":\"\\uff0a\",\"+\":\"\\uff0b\",\",\":\"\\ufe10\",\"-\":\"\\ufe32\",\".\":\"\\u30fb\",\"/\":\"\\uff0f\",\":\":\"\\ufe13\",\";\":\"\\ufe14\",\"<\":\"\\ufe3f\",\"=\":\"\\uff1d\",\">\":\"\\ufe40\",\"?\":\"\\ufe16\",\"@\":\"\\uff20\",\"[\":\"\\ufe47\",\"\\\\\":\"\\uff3c\",\"]\":\"\\ufe48\",\"^\":\"\\uff3e\",_:\"\\ufe33\",\"`\":\"\\uff40\",\"{\":\"\\ufe37\",\"|\":\"\\u2015\",\"}\":\"\\ufe38\",\"~\":\"\\uff5e\",\"\\xa2\":\"\\uffe0\",\"\\xa3\":\"\\uffe1\",\"\\xa5\":\"\\uffe5\",\"\\xa6\":\"\\uffe4\",\"\\xac\":\"\\uffe2\",\"\\xaf\":\"\\uffe3\",\"\\u2013\":\"\\ufe32\",\"\\u2014\":\"\\ufe31\",\"\\u2018\":\"\\ufe43\",\"\\u2019\":\"\\ufe44\",\"\\u201c\":\"\\ufe41\",\"\\u201d\":\"\\ufe42\",\"\\u2026\":\"\\ufe19\",\"\\u2027\":\"\\u30fb\",\"\\u20a9\":\"\\uffe6\",\"\\u3001\":\"\\ufe11\",\"\\u3002\":\"\\ufe12\",\"\\u3008\":\"\\ufe3f\",\"\\u3009\":\"\\ufe40\",\"\\u300a\":\"\\ufe3d\",\"\\u300b\":\"\\ufe3e\",\"\\u300c\":\"\\ufe41\",\"\\u300d\":\"\\ufe42\",\"\\u300e\":\"\\ufe43\",\"\\u300f\":\"\\ufe44\",\"\\u3010\":\"\\ufe3b\",\"\\u3011\":\"\\ufe3c\",\"\\u3014\":\"\\ufe39\",\"\\u3015\":\"\\ufe3a\",\"\\u3016\":\"\\ufe17\",\"\\u3017\":\"\\ufe18\",\"\\uff01\":\"\\ufe15\",\"\\uff08\":\"\\ufe35\",\"\\uff09\":\"\\ufe36\",\"\\uff0c\":\"\\ufe10\",\"\\uff0d\":\"\\ufe32\",\"\\uff0e\":\"\\u30fb\",\"\\uff1a\":\"\\ufe13\",\"\\uff1b\":\"\\ufe14\",\"\\uff1c\":\"\\ufe3f\",\"\\uff1e\":\"\\ufe40\",\"\\uff1f\":\"\\ufe16\",\"\\uff3b\":\"\\ufe47\",\"\\uff3d\":\"\\ufe48\",\"\\uff3f\":\"\\ufe33\",\"\\uff5b\":\"\\ufe37\",\"\\uff5c\":\"\\u2015\",\"\\uff5d\":\"\\ufe38\",\"\\uff5f\":\"\\ufe35\",\"\\uff60\":\"\\ufe36\",\"\\uff61\":\"\\ufe12\",\"\\uff62\":\"\\ufe41\",\"\\uff63\":\"\\ufe42\"},Ra=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),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(l);function Ba(t,e){var r=e.expression;if(\"constant\"===r.kind)return{functionType:\"constant\",layoutSize:r.evaluate(new Lr(t+1))};if(\"source\"===r.kind)return{functionType:\"source\"};for(var n=r.zoomStops,i=0;i<n.length&&n[i]<=t;)i++;for(var a=i=Math.max(0,i-1);a<n.length&&n[a]<t+1;)a++;a=Math.min(n.length-1,a);var o={min:n[i],max:n[a]};return\"composite\"===r.kind?{functionType:\"composite\",zoomRange:o,propertyValue:e.value}:{functionType:\"camera\",layoutSize:r.evaluate(new Lr(t+1)),zoomRange:o,sizeRange:{min:r.evaluate(new Lr(o.min)),max:r.evaluate(new Lr(o.max))},propertyValue:e.value}}pr(\"Anchor\",Ra);var Fa=ga.VectorTileFeature.types,Na=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function ja(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,s?s[0]:0,s?s[1]:0)}function Va(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}var Ua=function(t){this.layoutVertexArray=new tn,this.indexArray=new hn,this.programConfigurations=t,this.segments=new Tn,this.dynamicLayoutVertexArray=new en,this.opacityVertexArray=new rn,this.placedSymbolArray=new yn};Ua.prototype.upload=function(t,e){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ca.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.programConfigurations.upload(t),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,La.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Na,!0),this.opacityVertexBuffer.itemSize=1},Ua.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},pr(\"SymbolBuffers\",Ua);var qa=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Tn,this.collisionVertexArray=new on};qa.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,za.members,!0)},qa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},pr(\"CollisionBuffers\",qa);var Ha=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;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ba(this.zoom,e[\"text-size\"]),this.iconSizeData=Ba(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout;this.sortFeaturesByY=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")};Ha.prototype.createArrays=function(){this.text=new Ua(new In(Ca.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Ua(new In(Ca.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new qa(an,Pa.members,fn),this.collisionCircle=new qa(an,Ia.members,hn),this.glyphOffsetArray=new bn,this.lineVertexArray=new wn},Ha.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,i=n.get(\"text-font\"),a=n.get(\"text-field\"),o=n.get(\"icon-image\"),s=(\"constant\"!==a.value.kind||a.value.value.length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),l=\"constant\"!==o.value.kind||o.value.value&&o.value.value.length>0;if(this.features=[],s||l){for(var c=e.iconDependencies,u=e.glyphDependencies,h=new Lr(this.zoom),f=0,p=t;f<p.length;f+=1){var d=p[f],g=d.feature,m=d.index,v=d.sourceLayerIndex;if(r._featureFilter(h,g)){var y=void 0;s&&(y=Oa(y=r.getValueAndResolveTokens(\"text-field\",g),r,g));var x=void 0;if(l&&(x=r.getValueAndResolveTokens(\"icon-image\",g)),y||x){var b={text:y,icon:x,index:m,sourceLayerIndex:v,geometry:Bn(g),properties:g.properties,type:Fa[g.type]};if(void 0!==g.id&&(b.id=g.id),this.features.push(b),x&&(c[x]=!0),y)for(var _=i.evaluate(g).join(\",\"),w=u[_]=u[_]||{},k=\"map\"===n.get(\"text-rotation-alignment\")&&\"line\"===n.get(\"symbol-placement\"),M=xr(y),A=0;A<y.length;A++)if(w[y.charCodeAt(A)]=!0,k&&M){var T=Da[y.charAt(A)];T&&(w[T.charCodeAt(0)]=!0)}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter(function(t){return t.geometry})}(this.features))}},Ha.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Ha.prototype.upload=function(t){this.text.upload(t,this.sortFeaturesByY),this.icon.upload(t,this.sortFeaturesByY),this.collisionBox.upload(t),this.collisionCircle.upload(t)},Ha.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Ha.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}},Ha.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c){for(var u=t.indexArray,h=t.layoutVertexArray,f=t.dynamicLayoutVertexArray,p=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray),d=this.glyphOffsetArray.length,g=p.vertexLength,m=0,v=e;m<v.length;m+=1){var y=v[m],x=y.tl,b=y.tr,_=y.bl,w=y.br,k=y.tex,M=p.vertexLength,A=y.glyphOffset[1];ja(h,s.x,s.y,x.x,A+x.y,k.x,k.y,r),ja(h,s.x,s.y,b.x,A+b.y,k.x+k.w,k.y,r),ja(h,s.x,s.y,_.x,A+_.y,k.x,k.y+k.h,r),ja(h,s.x,s.y,w.x,A+w.y,k.x+k.w,k.y+k.h,r),Va(f,s,0),u.emplaceBack(M,M+1,M+2),u.emplaceBack(M+1,M+2,M+3),p.vertexLength+=4,p.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(y.glyphOffset[0])}t.placedSymbolArray.emplaceBack(s.x,s.y,d,this.glyphOffsetArray.length-d,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,!1),t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,a)},Ha.prototype._addCollisionDebugVertex=function(t,e,r,n,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n.x,n.y,Math.round(i.x),Math.round(i.y))},Ha.prototype.addCollisionDebugVertices=function(t,e,r,n,i,a,o,s){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray;if(this._addCollisionDebugVertex(h,f,a,o.anchor,new l(t,e)),this._addCollisionDebugVertex(h,f,a,o.anchor,new l(r,e)),this._addCollisionDebugVertex(h,f,a,o.anchor,new l(r,n)),this._addCollisionDebugVertex(h,f,a,o.anchor,new l(t,n)),c.vertexLength+=4,s){var p=i.indexArray;p.emplaceBack(u,u+1,u+2),p.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),c.primitiveLength+=4}},Ha.prototype.generateCollisionDebugBuffers=function(){for(var t=0,e=this.symbolInstances;t<e.length;t+=1){var r=e[t];r.textCollisionFeature={boxStartIndex:r.textBoxStartIndex,boxEndIndex:r.textBoxEndIndex},r.iconCollisionFeature={boxStartIndex:r.iconBoxStartIndex,boxEndIndex:r.iconBoxEndIndex};for(var n=0;n<2;n++){var i=r[0===n?\"textCollisionFeature\":\"iconCollisionFeature\"];if(i)for(var a=i.boxStartIndex;a<i.boxEndIndex;a++){var o=this.collisionBoxArray.get(a),s=o.x1,l=o.y1,c=o.x2,u=o.y2,h=o.radius>0;this.addCollisionDebugVertices(s,l,c,u,h?this.collisionCircle:this.collisionBox,o.anchorPoint,r,h)}}}},Ha.prototype.deserializeCollisionBoxes=function(t,e,r,n,i){for(var a={},o=e;o<r;o++){var s=t.get(o);if(0===s.radius){a.textBox={x1:s.x1,y1:s.y1,x2:s.x2,y2:s.y2,anchorPointX:s.anchorPointX,anchorPointY:s.anchorPointY},a.textFeatureIndex=s.featureIndex;break}a.textCircles||(a.textCircles=[],a.textFeatureIndex=s.featureIndex),a.textCircles.push(s.anchorPointX,s.anchorPointY,s.radius,s.signedDistanceFromAnchor,1)}for(var l=n;l<i;l++){var c=t.get(l);if(0===c.radius){a.iconBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},a.iconFeatureIndex=c.featureIndex;break}}return a},Ha.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ha.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ha.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Ha.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Ha.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&(this.sortedAngle=t,!(this.text.segments.get().length>1||this.icon.segments.get().length>1))){for(var r=[],n=0;n<this.symbolInstances.length;n++)r.push(n);var i=Math.sin(t),a=Math.cos(t);r.sort(function(t,r){var n=e.symbolInstances[t],o=e.symbolInstances[r];return(i*n.anchor.x+a*n.anchor.y|0)-(i*o.anchor.x+a*o.anchor.y|0)||o.featureIndex-n.featureIndex}),this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var o=0,s=r;o<s.length;o+=1){var l=s[o],c=e.symbolInstances[l];e.featureSortOrder.push(c.featureIndex);for(var u=0,h=c.placedTextSymbolIndices;u<h.length;u+=1)for(var f=h[u],p=e.text.placedSymbolArray.get(f),d=p.vertexStartIndex+4*p.numGlyphs,g=p.vertexStartIndex;g<d;g+=4)e.text.indexArray.emplaceBack(g,g+1,g+2),e.text.indexArray.emplaceBack(g+1,g+2,g+3);var m=e.icon.placedSymbolArray.get(l);if(m.numGlyphs){var v=m.vertexStartIndex;e.icon.indexArray.emplaceBack(v,v+1,v+2),e.icon.indexArray.emplaceBack(v+1,v+2,v+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},pr(\"SymbolBucket\",Ha,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"],shallow:[\"symbolInstances\"]}),Ha.MAX_GLYPHS=65535,Ha.addDynamicAttributes=Va;var Ga=new qr({\"symbol-placement\":new Nr(I.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Nr(I.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Nr(I.layout_symbol[\"symbol-avoid-edges\"]),\"icon-allow-overlap\":new Nr(I.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Nr(I.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Nr(I.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Nr(I.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new jr(I.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Nr(I.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Nr(I.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new jr(I.layout_symbol[\"icon-image\"]),\"icon-rotate\":new jr(I.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Nr(I.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Nr(I.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new jr(I.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new jr(I.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Nr(I.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Nr(I.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Nr(I.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new jr(I.layout_symbol[\"text-field\"]),\"text-font\":new jr(I.layout_symbol[\"text-font\"]),\"text-size\":new jr(I.layout_symbol[\"text-size\"]),\"text-max-width\":new jr(I.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Nr(I.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new jr(I.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new jr(I.layout_symbol[\"text-justify\"]),\"text-anchor\":new jr(I.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Nr(I.layout_symbol[\"text-max-angle\"]),\"text-rotate\":new jr(I.layout_symbol[\"text-rotate\"]),\"text-padding\":new Nr(I.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Nr(I.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new jr(I.layout_symbol[\"text-transform\"]),\"text-offset\":new jr(I.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Nr(I.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Nr(I.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Nr(I.layout_symbol[\"text-optional\"])}),Wa={paint:new qr({\"icon-opacity\":new jr(I.paint_symbol[\"icon-opacity\"]),\"icon-color\":new jr(I.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new jr(I.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new jr(I.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new jr(I.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Nr(I.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Nr(I.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new jr(I.paint_symbol[\"text-opacity\"]),\"text-color\":new jr(I.paint_symbol[\"text-color\"]),\"text-halo-color\":new jr(I.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new jr(I.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new jr(I.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Nr(I.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Nr(I.paint_symbol[\"text-translate-anchor\"])}),layout:Ga},Ya=function(t){function e(e){t.call(this,e,Wa)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"line\"===this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"line\"===this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\"))},e.prototype.getValueAndResolveTokens=function(t,e){var r,n=this.layout.get(t).evaluate(e),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||_e(i.value)?n:(r=e.properties,n.replace(/{([^{}]+)}/g,function(t,e){return e in r?String(r[e]):\"\"}))},e.prototype.createBucket=function(t){return new Ha(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e}(Hr),Xa={paint:new qr({\"background-color\":new Nr(I.paint_background[\"background-color\"]),\"background-pattern\":new Vr(I.paint_background[\"background-pattern\"]),\"background-opacity\":new Nr(I.paint_background[\"background-opacity\"])})},Za=function(t){function e(e){t.call(this,e,Xa)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hr),$a={paint:new qr({\"raster-opacity\":new Nr(I.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Nr(I.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Nr(I.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Nr(I.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Nr(I.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Nr(I.paint_raster[\"raster-contrast\"]),\"raster-fade-duration\":new Nr(I.paint_raster[\"raster-fade-duration\"])})},Ja={circle:ni,heatmap:pi,hillshade:gi,fill:Ji,\"fill-extrusion\":aa,line:Sa,symbol:Ya,background:Za,raster:function(t){function e(e){t.call(this,e,$a)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hr)},Ka=i(function(t,e){t.exports=function(){function t(t,e,r){r=r||{},this.w=t||64,this.h=e||64,this.autoResize=!!r.autoResize,this.shelves=[],this.freebins=[],this.stats={},this.bins={},this.maxId=0}function e(t,e,r){this.x=0,this.y=t,this.w=this.free=e,this.h=r}return t.prototype.pack=function(t,e){t=[].concat(t),e=e||{};for(var r,n,i,a,o=[],s=0;s<t.length;s++)if(r=t[s].w||t[s].width,n=t[s].h||t[s].height,i=t[s].id,r&&n){if(!(a=this.packOne(r,n,i)))continue;e.inPlace&&(t[s].x=a.x,t[s].y=a.y,t[s].id=a.id),o.push(a)}return this.shrink(),o},t.prototype.packOne=function(t,r,n){var i,a,o,s,l,c,u,h,f={freebin:-1,shelf:-1,waste:1/0},p=0;if(\"string\"==typeof n||\"number\"==typeof n){if(i=this.getBin(n))return this.ref(i),i;\"number\"==typeof n&&(this.maxId=Math.max(n,this.maxId))}else n=++this.maxId;for(s=0;s<this.freebins.length;s++){if(r===(i=this.freebins[s]).maxh&&t===i.maxw)return this.allocFreebin(s,t,r,n);r>i.maxh||t>i.maxw||r<=i.maxh&&t<=i.maxw&&(o=i.maxw*i.maxh-t*r)<f.waste&&(f.waste=o,f.freebin=s)}for(s=0;s<this.shelves.length;s++)if(p+=(a=this.shelves[s]).h,!(t>a.free)){if(r===a.h)return this.allocShelf(s,t,r,n);r>a.h||r<a.h&&(o=(a.h-r)*t)<f.waste&&(f.freebin=-1,f.waste=o,f.shelf=s)}return-1!==f.freebin?this.allocFreebin(f.freebin,t,r,n):-1!==f.shelf?this.allocShelf(f.shelf,t,r,n):r<=this.h-p&&t<=this.w?(a=new e(p,this.w,r),this.allocShelf(this.shelves.push(a)-1,t,r,n)):this.autoResize?(l=c=this.h,((u=h=this.w)<=l||t>u)&&(h=2*Math.max(t,u)),(l<u||r>l)&&(c=2*Math.max(r,l)),this.resize(h,c),this.packOne(t,r,n)):null},t.prototype.allocFreebin=function(t,e,r,n){var i=this.freebins.splice(t,1)[0];return i.id=n,i.w=e,i.h=r,i.refcount=0,this.bins[n]=i,this.ref(i),i},t.prototype.allocShelf=function(t,e,r,n){var i=this.shelves[t].alloc(e,r,n);return this.bins[n]=i,this.ref(i),i},t.prototype.shrink=function(){if(this.shelves.length>0){for(var t=0,e=0,r=0;r<this.shelves.length;r++){var n=this.shelves[r];e+=n.h,t=Math.max(n.w-n.free,t)}this.resize(t,e)}},t.prototype.getBin=function(t){return this.bins[t]},t.prototype.ref=function(t){if(1==++t.refcount){var e=t.h;this.stats[e]=1+(0|this.stats[e])}return t.refcount},t.prototype.unref=function(t){return 0===t.refcount?0:(0==--t.refcount&&(this.stats[t.h]--,delete this.bins[t.id],this.freebins.push(t)),t.refcount)},t.prototype.clear=function(){this.shelves=[],this.freebins=[],this.stats={},this.bins={},this.maxId=0},t.prototype.resize=function(t,e){this.w=t,this.h=e;for(var r=0;r<this.shelves.length;r++)this.shelves[r].resize(t);return!0},e.prototype.alloc=function(t,e,r){if(t>this.free||e>this.h)return null;var n=this.x;return this.x+=t,this.free-=t,new function(t,e,r,n,i,a,o){this.id=t,this.x=e,this.y=r,this.w=n,this.h=i,this.maxw=a||n,this.maxh=o||i,this.refcount=0}(r,n,this.y,t,e,t,this.h)},e.prototype.resize=function(t){return this.free+=t-this.w,this.w=t,!0},t}()}),Qa=function(t,e){var r=e.pixelRatio;this.paddedRect=t,this.pixelRatio=r},to={tl:{configurable:!0},br:{configurable:!0},displaySize:{configurable:!0}};to.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},to.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},to.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Qa.prototype,to);var eo=function(t){var e=new ui({width:0,height:0}),r={},n=new Ka(0,0,{autoResize:!0});for(var i in t){var a=t[i],o=n.packOne(a.data.width+2,a.data.height+2);e.resize({width:n.w,height:n.h}),ui.copy(a.data,e,{x:0,y:0},{x:o.x+1,y:o.y+1},a.data),r[i]=new Qa(o,a)}n.shrink(),e.resize({width:n.w,height:n.h}),this.image=e,this.positions=r};pr(\"ImagePosition\",Qa),pr(\"ImageAtlas\",eo);var ro=function(t,e,r,n,i){var 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u=a/2,h=Math.floor(i/u),f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-a/2,g=r,m=n+1,v=d,y=-i/2,x=y-i/4;do{if(--m<0){if(v>y)return;m=0;break}v-=e[m].dist(g),g=e[m]}while(v>x);for(var b=e[m].dist(e[m+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>i&&(k+=w-i),!(k<v)){for(;v+b<k;){if(v+=b,++m+1>=e.length)return;b=e[m].dist(e[m+1])}var M=k-v,A=e[m],T=e[m+1].sub(A)._unit()._mult(M)._add(A)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(T.x,T.y,-a/2,-a/2,a/2,a/2,o,s,l,a/2,S)}}};var l=u,c=u;function u(t,e){if(!(this instanceof u))return new u(t,e);if(this.data=t||[],this.length=this.data.length,this.compare=e||h,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)}function h(t,e){return t<e?-1:t>e?1:0}function f(e,r,n){void 0===r&&(r=1),void 0===n&&(n=!1);for(var i=1/0,a=1/0,o=-1/0,s=-1/0,c=e[0],u=0;u<c.length;u++){var h=c[u];(!u||h.x<i)&&(i=h.x),(!u||h.y<a)&&(a=h.y),(!u||h.x>o)&&(o=h.x),(!u||h.y>s)&&(s=h.y)}var f=o-i,g=s-a,m=Math.min(f,g),v=m/2,y=new l(null,p);if(0===m)return new t.default$1(i,a);for(var x=i;x<o;x+=m)for(var b=a;b<s;b+=m)y.push(new d(x+v,b+v,v,e));for(var _=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new d(r/e,n/e,0,t)}(e),w=y.length;y.length;){var k=y.pop();(k.d>_.d||!_.d)&&(_=k,n&&console.log(\"found best %d after %d probes\",Math.round(1e4*k.d)/1e4,w)),k.max-_.d<=r||(v=k.h/2,y.push(new d(k.p.x-v,k.p.y-v,v,e)),y.push(new d(k.p.x+v,k.p.y-v,v,e)),y.push(new d(k.p.x-v,k.p.y+v,v,e)),y.push(new d(k.p.x+v,k.p.y+v,v,e)),w+=4)}return n&&(console.log(\"num probes: \"+w),console.log(\"best distance: \"+_.d)),_.p}function p(t,e){return e.max-t.max}function d(e,r,n,i){this.p=new t.default$1(e,r),this.h=n,this.d=function(e,r){for(var n=!1,i=1/0,a=0;a<r.length;a++)for(var o=r[a],s=0,l=o.length,c=l-1;s<l;c=s++){var u=o[s],h=o[c];u.y>e.y!=h.y>e.y&&e.x<(h.x-u.x)*(e.y-u.y)/(h.y-u.y)+u.x&&(n=!n),i=Math.min(i,t.distToSegmentSquared(e,u,h))}return(n?1:-1)*Math.sqrt(i)}(this.p,i),this.max=this.d+this.h*Math.SQRT2}function g(e,r,n,i,a,o){e.createArrays(),e.symbolInstances=[];var s=512*e.overscaling;e.tilePixelRatio=t.default$8/s,e.compareText={},e.iconsNeedLinear=!1;var l=e.layers[0].layout,c=e.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===e.textSizeData.functionType){var h=e.textSizeData.zoomRange,f=h.min,p=h.max;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new t.default$16(f)),c[\"text-size\"].possiblyEvaluate(new t.default$16(p))]}if(\"composite\"===e.iconSizeData.functionType){var d=e.iconSizeData.zoomRange,g=d.min,v=d.max;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new t.default$16(g)),c[\"icon-size\"].possiblyEvaluate(new t.default$16(v))]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new 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R=i[k.icon];R&&(D=t.shapeIcon(a[k.icon],l.get(\"icon-offset\").evaluate(k),l.get(\"icon-anchor\").evaluate(k)),void 0===e.sdfIcons?e.sdfIcons=R.sdf:e.sdfIcons!==R.sdf&&t.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),R.pixelRatio!==e.pixelRatio?e.iconsNeedLinear=!0:0!==l.get(\"icon-rotate\").constantOr(1)&&(e.iconsNeedLinear=!0))}(S.horizontal||D)&&m(e,k,S,D,T,u)}o&&e.generateCollisionDebugBuffers()}function m(e,r,n,i,l,c){var u=c.layoutTextSize.evaluate(r),h=c.layoutIconSize.evaluate(r),p=c.textMaxSize.evaluate(r);void 0===p&&(p=u);var 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ct(t){return{type:\"Feature\",properties:ut(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function ut(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return pt(pt({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function ht(t){return t/360+.5}function ft(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function pt(t,e){for(var r in e)t[r]=e[r];return t}function dt(t){return t.x}function gt(t){return t.y}function mt(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function vt(t,e,r,n){var i={id:t||null,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)yt(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n<e.length;n++)yt(t,e[n]);else if(\"MultiPolygon\"===r)for(n=0;n<e.length;n++)for(var i=0;i<e[n].length;i++)yt(t,e[n][i])}(i),i}function yt(t,e){for(var r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function xt(t,e,r){if(e.geometry){var n=e.geometry.coordinates,i=e.geometry.type,a=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),o=[];if(\"Point\"===i)bt(n,o);else if(\"MultiPoint\"===i)for(var s=0;s<n.length;s++)bt(n[s],o);else if(\"LineString\"===i)_t(n,o,a,!1);else if(\"MultiLineString\"===i)if(r.lineMetrics)for(s=0;s<n.length;s++)return o=[],_t(n[s],o,a,!1),void t.push(vt(e.id,\"LineString\",o,e.properties));else wt(n,o,a,!1);else 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kt(t){return t/360+.5}function Mt(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function At(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o<=n)return t;if(a>n||o<r)return null;for(var l=[],c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<=n)l.push(u);else if(!(p>n||d<r)){var g=[];if(\"Point\"===f||\"MultiPoint\"===f)Tt(h,g,r,n,i);else if(\"LineString\"===f)St(h,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===f)Ct(h,g,r,n,i,!1);else if(\"Polygon\"===f)Ct(h,g,r,n,i,!0);else if(\"MultiPolygon\"===f)for(var m=0;m<h.length;m++){var 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_=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===i?p:d)>=r&&y<=n&&Lt(c,p,d,g),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&Lt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function Et(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function Ct(t,e,r,n,i,a){for(var o=0;o<t.length;o++)St(t[o],e,r,n,i,a,!1)}function Lt(t,e,r,n){t.push(e),t.push(r),t.push(n)}function zt(t,e,r,n,i,a){var o=(a-e)/(n-e);return t.push(a),t.push(r+(i-r)*o),t.push(1),o}function Pt(t,e,r,n,i,a){var o=(a-r)/(i-r);return t.push(e+(n-e)*o),t.push(a),t.push(1),o}function It(t,e){for(var r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=Ot(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(Ot(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(Ot(a.geometry[s][c],e));i.push(l)}r.push(vt(a.id,o,i,a.tags))}return r}function Ot(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 Dt(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(Rt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var h=[];for(i=0;i<c[n].length;i+=2)h.push(Rt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function Rt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function Bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Ft(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Ft(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)Nt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)Nt(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++)Nt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var f={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Nt(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 jt(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\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)xt(r,t.features[n],e);else\"Feature\"===t.type?xt(r,t,e):xt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=At(t,1,-1-r,r,0,-1,2,e),a=At(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=At(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=It(i,1).concat(n)),a&&(n=n.concat(It(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 Vt(t,e,r){return 32*((1<<t)*r+e)+t}function Ut(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 R(n.features),a=V(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}ot.prototype={options:{minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,reduce:null,initial:function(){return{}},map:function(t){return t}},load:function(t){var e=this.options.log;e&&console.time(\"total time\");var r=\"prepare \"+t.length+\" points\";e&&console.time(r),this.points=t;var n=t.map(lt);e&&console.timeEnd(r);for(var i=this.options.maxZoom;i>=this.options.minZoom;i--){var a=+Date.now();this.trees[i+1]=rt(n,dt,gt,this.options.nodeSize,Float32Array),n=this._cluster(n,i),e&&console.log(\"z%d: %d clusters in %dms\",i,n.length,+Date.now()-a)}return this.trees[this.options.minZoom]=rt(n,dt,gt,this.options.nodeSize,Float32Array),e&&console.timeEnd(\"total time\"),this},getClusters:function(t,e){for(var r=this.trees[this._limitZoom(e)],n=r.range(ht(t[0]),ft(t[3]),ht(t[2]),ft(t[1])),i=[],a=0;a<n.length;a++){var o=r.points[n[a]];i.push(o.numPoints?ct(o):this.points[o.id])}return i},getChildren:function(t,e){for(var r=this.trees[e+1].points[t],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=this.trees[e+1].within(r.x,r.y,n),a=[],o=0;o<i.length;o++){var s=this.trees[e+1].points[i[o]];s.parentId===t&&a.push(s.numPoints?ct(s):this.points[s.id])}return a},getLeaves:function(t,e,r,n){r=r||10,n=n||0;var i=[];return this._appendLeaves(i,t,e,r,n,0),i},getTile:function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options.extent,o=this.options.radius/a,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},getClusterExpansionZoom:function(t,e){for(;e<this.options.maxZoom;){var r=this.getChildren(t,e);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},_appendLeaves:function(t,e,r,n,i,a){for(var o=this.getChildren(e,r),s=0;s<o.length;s++){var l=o[s].properties;if(l.cluster?a+l.point_count<=i?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r+1,n,i,a):a<i?a++:t.push(o[s]),t.length===n)break}return a},_addTileFeatures:function(t,e,r,n,i,a){for(var o=0;o<t.length;o++){var s=e[t[o]];a.features.push({type:1,geometry:[[Math.round(this.options.extent*(s.x*i-r)),Math.round(this.options.extent*(s.y*i-n))]],tags:s.numPoints?ut(s):this.points[s.id].properties})}},_limitZoom:function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},_cluster:function(t,e){for(var r=[],n=this.options.radius/(this.options.extent*Math.pow(2,e)),i=0;i<t.length;i++){var a=t[i];if(!(a.zoom<=e)){a.zoom=e;var o=this.trees[e+1],s=o.within(a.x,a.y,n),l=a.numPoints||1,c=a.x*l,u=a.y*l,h=null;this.options.reduce&&(h=this.options.initial(),this._accumulate(h,a));for(var f=0;f<s.length;f++){var p=o.points[s[f]];if(e<p.zoom){var d=p.numPoints||1;p.zoom=e,c+=p.x*d,u+=p.y*d,l+=d,p.parentId=i,this.options.reduce&&this._accumulate(h,p)}}1===l?r.push(a):(a.parentId=i,r.push(st(c/l,u/l,l,i,h)))}}return r},_accumulate:function(t,e){var r=e.numPoints?e.properties:this.options.map(this.points[e.id].properties);this.options.reduce(t,r)}},jt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,debug:0},jt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=Vt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=Bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,M=1+_;g=m=v=y=null,x=At(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=At(t,u,r+w,r+M,0,f.minX,f.maxX,l),t=null,x&&(g=At(x,u,n-_,n+k,1,f.minY,f.maxY,l),m=At(x,u,n+w,n+M,1,f.minY,f.maxY,l),x=null),b&&(v=At(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=At(b,u,n+w,n+M,1,f.minY,f.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)}}},jt.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=Vt(t,e=(e%o+o)%o,r);if(this.tiles[s])return Dt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[Vt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?Dt(this.tiles[s],i):null):null};var qt=function(e){function r(t,r,n){e.call(this,t,r,Ut),n&&(this.loadGeoJSON=n)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var t=this;if(this._pendingCallback&&this._pendingLoadDataParams){var e=this._pendingCallback,r=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams,this.loadGeoJSON(r,function(n,i){if(n||!i)return e(n);if(\"object\"!=typeof i)return e(new Error(\"Input data is not a valid GeoJSON object.\"));!function t(e,r){switch(e&&e.type||null){case\"FeatureCollection\":return e.features=e.features.map(z(t,r)),e;case\"Feature\":return e.geometry=t(e.geometry,r),e;case\"Polygon\":case\"MultiPolygon\":return function(t,e){return\"Polygon\"===t.type?t.coordinates=P(t.coordinates,e):\"MultiPolygon\"===t.type&&(t.coordinates=t.coordinates.map(z(P,e))),t}(e,r);default:return e}}(i,!0);try{t._geoJSONIndex=r.cluster?function(t){return new ot(t)}(r.superclusterOptions).load(i.features):new jt(i,r.geojsonVtOptions)}catch(n){return e(n)}t.loaded={};var a={};if(r.request&&r.request.collectResourceTiming){var o=w(r.request.url);o&&(a.resourceTiming={},a.resourceTiming[r.source]=JSON.parse(JSON.stringify(o)))}e(null,a)})}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r}(M),Ht=function(e){var r=this;this.self=e,this.actor=new t.default$7(e,this),this.layerIndexes={},this.workerSourceTypes={vector:M,geojson:qt},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.isLoaded())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText}};return Ht.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ht.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ht.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ht.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ht.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ht.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ht.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ht.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ht.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()}},Ht.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ht.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+r)))}catch(t){n(t.toString())}},Ht.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ht.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ht.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new A),this.demWorkerSources[t][e]},\"undefined\"!=typeof WorkerGlobalScope&&\"undefined\"!=typeof self&&self instanceof WorkerGlobalScope&&new Ht(self),Ht}),i(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!(\"undefined\"!=typeof window&&\"undefined\"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON&&function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&\"Uint8ClampedArray\"in window&&function(t){return void 0===r[t]&&(r[t]=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)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r=t.default.performance&&t.default.performance.now?t.default.performance.now.bind(t.default.performance):Date.now.bind(Date),n=t.default.requestAnimationFrame||t.default.mozRequestAnimationFrame||t.default.webkitRequestAnimationFrame||t.default.msRequestAnimationFrame,i=t.default.cancelAnimationFrame||t.default.mozCancelAnimationFrame||t.default.webkitCancelAnimationFrame||t.default.msCancelAnimationFrame,a={now:r,frame:function(t){return n(t)},cancelFrame:function(t){return i(t)},getImageData:function(e){var r=t.default.document.createElement(\"canvas\"),n=r.getContext(\"2d\");if(!n)throw new Error(\"failed to create canvas 2d context\");return r.width=e.width,r.height=e.height,n.drawImage(e,0,0,e.width,e.height),n.getImageData(0,0,e.width,e.height)},hardwareConcurrency:t.default.navigator.hardwareConcurrency||4,get devicePixelRatio(){return t.default.devicePixelRatio},supportsWebp:!1};if(t.default.document){var o=t.default.document.createElement(\"img\");o.onload=function(){a.supportsWebp=!0},o.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"}var s={create:function(e,r,n){var i=t.default.document.createElement(e);return r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.default.document.createElementNS(e,r)}},l=t.default.document?t.default.document.documentElement.style:null;function c(t){if(!l)return null;for(var e=0;e<t.length;e++)if(t[e]in l)return t[e];return t[0]}var u,h=c([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);s.disableDrag=function(){l&&h&&(u=l[h],l[h]=\"none\")},s.enableDrag=function(){l&&h&&(l[h]=u)};var f=c([\"transform\",\"WebkitTransform\"]);s.setTransform=function(t,e){t.style[f]=e};var p=!1;try{var d=Object.defineProperty({},\"passive\",{get:function(){p=!0}});t.default.addEventListener(\"test\",d,d),t.default.removeEventListener(\"test\",d,d)}catch(t){p=!1}s.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&p?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},s.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&p?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var g=function(e){e.preventDefault(),e.stopPropagation(),t.default.removeEventListener(\"click\",g,!0)};s.suppressClick=function(){t.default.addEventListener(\"click\",g,!0),t.default.setTimeout(function(){t.default.removeEventListener(\"click\",g,!0)},0)},s.mousePos=function(e,r){var n=e.getBoundingClientRect();return r=r.touches?r.touches[0]:r,new t.default$1(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},s.touchPos=function(e,r){for(var 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t.params.push(\"access_token=\"+e),T(t)}function x(t){return 0===t.indexOf(\"mapbox:\")}var b=function(t,e){if(!x(t))return t;var r=A(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),y(r,e)},_=function(t,e,r,n){var i=A(t);return x(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,y(i,n)):(i.path+=\"\"+e+r,T(i))},w=/(\\.(png|jpg)\\d*)(?=$)/,k=function(t,e,r){if(!e||!x(e))return t;var n=A(t),i=a.devicePixelRatio>=2||512===r?\"@2x\":\"\",o=a.supportsWebp?\".webp\":\"$1\";return n.path=n.path.replace(w,\"\"+i+o),function(t){for(var e=0;e<t.length;e++)0===t[e].indexOf(\"access_token=tk.\")&&(t[e]=\"access_token=\"+(m.ACCESS_TOKEN||\"\"))}(n.params),T(n)},M=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function A(t){var e=t.match(M);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function T(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var S=t.default.HTMLImageElement,E=t.default.HTMLCanvasElement,C=t.default.HTMLVideoElement,L=t.default.ImageData,z=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};z.prototype.update=function(t,e){var r=t.width,n=t.height,i=!this.size||this.size[0]!==r||this.size[1]!==n,a=this.context,o=a.gl;this.useMipmap=Boolean(e&&e.useMipmap),o.bindTexture(o.TEXTURE_2D,this.texture),i?(this.size=[r,n],a.pixelStoreUnpack.set(1),this.format!==o.RGBA||e&&!1===e.premultiply||a.pixelStoreUnpackPremultiplyAlpha.set(!0),t instanceof S||t instanceof E||t instanceof C||t instanceof L?o.texImage2D(o.TEXTURE_2D,0,this.format,this.format,o.UNSIGNED_BYTE,t):o.texImage2D(o.TEXTURE_2D,0,this.format,r,n,0,this.format,o.UNSIGNED_BYTE,t.data)):t instanceof S||t instanceof E||t instanceof C||t instanceof L?o.texSubImage2D(o.TEXTURE_2D,0,0,0,o.RGBA,o.UNSIGNED_BYTE,t):o.texSubImage2D(o.TEXTURE_2D,0,0,0,r,n,o.RGBA,o.UNSIGNED_BYTE,t.data),this.useMipmap&&this.isSizePowerOfTwo()&&o.generateMipmap(o.TEXTURE_2D)},z.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)},z.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},z.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var P=function(){this.images={},this.loaded=!1,this.requestors=[],this.shelfPack=new t.default$2(64,64,{autoResize:!0}),this.patterns={},this.atlasImage=new t.RGBAImage({width:64,height:64}),this.dirty=!0};P.prototype.isLoaded=function(){return this.loaded},P.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},P.prototype.getImage=function(t){return this.images[t]},P.prototype.addImage=function(t,e){this.images[t]=e},P.prototype.removeImage=function(t){delete this.images[t];var e=this.patterns[t];e&&(this.shelfPack.unref(e.bin),delete this.patterns[t])},P.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},P.prototype._notify=function(t,e){for(var r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=this.images[a];o&&(r[a]={data:o.data.clone(),pixelRatio:o.pixelRatio,sdf:o.sdf})}e(null,r)},P.prototype.getPixelSize=function(){return{width:this.shelfPack.w,height:this.shelfPack.h}},P.prototype.getPattern=function(e){var r=this.patterns[e];if(r)return r.position;var n=this.getImage(e);if(!n)return null;var i=n.data.width+2,a=n.data.height+2,o=this.shelfPack.packOne(i,a);if(!o)return null;this.atlasImage.resize(this.getPixelSize());var s=n.data,l=this.atlasImage,c=o.x+1,u=o.y+1,h=s.width,f=s.height;t.RGBAImage.copy(s,l,{x:0,y:0},{x:c,y:u},{width:h,height:f}),t.RGBAImage.copy(s,l,{x:0,y:f-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(s,l,{x:0,y:0},{x:c,y:u+f},{width:h,height:1}),t.RGBAImage.copy(s,l,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:f}),t.RGBAImage.copy(s,l,{x:0,y:0},{x:c+h,y:u},{width:1,height:f}),this.dirty=!0;var p=new t.ImagePosition(o,n);return this.patterns[e]={bin:o,position:p},p},P.prototype.bind=function(t){var e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new z(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)};var I=D,O=1e20;function D(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 R(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(B(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(B(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function B(t,e,r,n,i){r[0]=0,n[0]=-O,n[1]=+O;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]=+O}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]]}}D.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?O:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?O:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(R(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),R(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r};var F=function(t,e){this.requestTransform=t,this.localIdeographFontFamily=e,this.entries={}};F.prototype.setURL=function(t){this.url=t},F.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{}});var o=a.glyphs[i];if(void 0===o)if(o=n._tinySDF(a,r,i))e(null,{stack:r,id:i,glyph:o});else{var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=a.requests[s];l||(l=a.requests[s]=[],F.loadGlyphRange(r,s,n.url,n.requestTransform,function(t,e){if(e)for(var r in e)a.glyphs[+r]=e[+r];for(var n=0,i=l;n<i.length;n+=1)(0,i[n])(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)}})},F.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&(t.default$4[\"CJK Unified Ideographs\"](n)||t.default$4[\"Hangul Syllables\"](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 F.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}}}},F.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i(function(t,e){if(!x(t))return t;var r=A(t);return r.path=\"/fonts/v1\"+r.path,y(r,e)}(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.default$3(r.data);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}})},F.TinySDF=I;var N=function(){this.specification=t.default$5.light.position};N.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},N.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 j=new t.Properties({anchor:new t.DataConstantProperty(t.default$5.light.anchor),position:new N,color:new t.DataConstantProperty(t.default$5.light.color),intensity:new t.DataConstantProperty(t.default$5.light.intensity)}),V=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(j),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e){if(!this._validate(t.validateLight,e))for(var r in e){var n=e[r];t.endsWith(r,\"-transition\")?this._transitionable.setTransition(r.slice(0,-\"-transition\".length),n):this._transitionable.setValue(r,n)}},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){return t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.default$5})))},r}(t.Evented),U=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};U.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},U.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];for(var s=this.width/a,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,m=0;m<this.width;m++){for(;d<m/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var v=Math.abs(m-p*s),y=Math.abs(m-d*s),x=Math.min(v,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+m)]=Math.max(0,Math.min(255,_+128))}var M={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,M},U.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.RGBA,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.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var q=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function H(e,r,n){var i=function(e,r){if(e)return n(e);if(r){var i=t.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),n(null,i)}};e.url?t.getJSON(r(b(e.url),t.ResourceType.Source),i):a.frame(function(){return i(null,e)})}q.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},q.prototype.send=function(t,e,r,n){return(\"number\"!=typeof n||isNaN(n))&&(n=this.currentActor=(this.currentActor+1)%this.actors.length),this.actors[n].send(t,e,r),n},q.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},q.Actor=t.default$7;var G=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\")};G.prototype.wrap=function(){return new G(t.wrap(this.lng,-180,180),this.lat)},G.prototype.toArray=function(){return[this.lng,this.lat]},G.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},G.prototype.toBounds=function(t){var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new W(new G(this.lng-r,this.lat-e),new G(this.lng+r,this.lat+e))},G.convert=function(t){if(t instanceof G)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new G(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new G(Number(t.lng),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var W=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]))};W.prototype.setNorthEast=function(t){return this._ne=t instanceof G?new G(t.lng,t.lat):G.convert(t),this},W.prototype.setSouthWest=function(t){return this._sw=t instanceof G?new G(t.lng,t.lat):G.convert(t),this},W.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof G)e=t,r=t;else{if(!(t instanceof W))return Array.isArray(t)?t.every(Array.isArray)?this.extend(W.convert(t)):this.extend(G.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new G(e.lng,e.lat),this._ne=new G(r.lng,r.lat)),this},W.prototype.getCenter=function(){return new G((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},W.prototype.getSouthWest=function(){return this._sw},W.prototype.getNorthEast=function(){return this._ne},W.prototype.getNorthWest=function(){return new G(this.getWest(),this.getNorth())},W.prototype.getSouthEast=function(){return new G(this.getEast(),this.getSouth())},W.prototype.getWest=function(){return this._sw.lng},W.prototype.getSouth=function(){return this._sw.lat},W.prototype.getEast=function(){return this._ne.lng},W.prototype.getNorth=function(){return this._ne.lat},W.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},W.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},W.prototype.isEmpty=function(){return!(this._sw&&this._ne)},W.convert=function(t){return!t||t instanceof W?t:new W(t)};var Y=function(t,e,r){this.bounds=W.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24};Y.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]},Y.prototype.contains=function(t){var e=Math.floor(this.lngX(this.bounds.getWest(),t.z)),r=Math.floor(this.latY(this.bounds.getNorth(),t.z)),n=Math.ceil(this.lngX(this.bounds.getEast(),t.z)),i=Math.ceil(this.latY(this.bounds.getSouth(),t.z));return t.x>=e&&t.x<n&&t.y>=r&&t.y<i},Y.prototype.lngX=function(t,e){return(t+180)*(Math.pow(2,e)/360)},Y.prototype.latY=function(e,r){var n=t.clamp(Math.sin(Math.PI/180*e),-.9999,.9999),i=Math.pow(2,r)/(2*Math.PI);return Math.pow(2,r-1)+.5*Math.log((1+n)/(1-n))*-i};var X=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,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),H(this._options,this.map._transformRequest,function(r,n){r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new Y(n.bounds,e.minzoom,e.maxzoom)),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},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.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=k(e.tileID.canonical.url(this.tiles,this.scheme),this.url),i={request:this.map._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:a.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};function o(t,n){return e.aborted?r(null):t?r(t):(n&&n.resourceTiming&&(e.resourceTiming=n.resourceTiming),this.map._refreshExpiredTiles&&e.setExpiryData(n),e.loadVectorData(n,this.map.painter),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,void 0===e.workerID||\"expired\"===e.state?e.workerID=this.dispatcher.send(\"loadTile\",i,o.bind(this)):\"loading\"===e.state?e.reloadCallback=r:this.dispatcher.send(\"reloadTile\",i,o.bind(this),e.workerID)},r.prototype.abortTile=function(t){this.dispatcher.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID)},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),Z=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({},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),H(this._options,this.map._transformRequest,function(r,n){r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new Y(n.bounds,e.minzoom,e.maxzoom)),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.onAdd=function(t){this.map=t,this.load()},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=k(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._transformRequest(i,t.ResourceType.Tile),function(t,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(t)e.state=\"errored\",r(t);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var a=n.map.painter.context,o=a.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new z(a,i,o.RGBA,{useMipmap:!0}),e.texture.bind(o.LINEAR,o.CLAMP_TO_EDGE,o.LINEAR_MIPMAP_NEAREST),a.extTextureFilterAnisotropic&&o.texParameterf(o.TEXTURE_2D,a.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,a.extTextureFilterAnisotropicMax)),e.state=\"loaded\",r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.abort(),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),$=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({},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=k(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._transformRequest(n,t.ResourceType.Tile),function(t,n){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(t)e.state=\"errored\",r(t);else if(n){this.map._refreshExpiredTiles&&e.setExpiryData(n),delete n.cacheControl,delete n.expires;var i=a.getImageData(n),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.workerID&&\"expired\"!==e.state||(e.workerID=this.dispatcher.send(\"loadDEMTile\",o,function(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}.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\",this.dispatcher.send(\"removeDEMTile\",{uid:t.uid,source:this.id},void 0,t.workerID)},r}(Z),J=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.dispatcher=i,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);var o=t.default$8/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.default$8,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.default$8,radius:(n.clusterRadius||50)*o,log:!1}},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(e){if(e)return r.fire(new t.ErrorEvent(e));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._updateWorkerData=function(e){var r,n,i=this,a=t.extend({},this.workerOptions),o=this._data;\"string\"==typeof o?(a.request=this.map._transformRequest((r=o,(n=t.default.document.createElement(\"a\")).href=r,n.href),t.ResourceType.Source),a.request.collectResourceTiming=this._collectResourceTiming):a.data=JSON.stringify(o),this.workerID=this.dispatcher.send(this.type+\".\"+a.source+\".loadData\",a,function(t,r){i._removed||r&&r.abandoned||(i._loaded=!0,r&&r.resourceTiming&&r.resourceTiming[i.id]&&(i._resourceTiming=r.resourceTiming[i.id].slice(0)),i.dispatcher.send(i.type+\".\"+a.source+\".coalesce\",null,null,i.workerID),e(t))},this.workerID)},r.prototype.loadTile=function(t,e){var r=this,n=void 0===t.workerID?\"loadTile\":\"reloadTile\",i={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:a.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(n,i,function(i,a){return t.unloadVectorData(),t.aborted?e(null):i?e(i):(t.loadVectorData(a,r.map.painter,\"reloadTile\"===n),e(null))},this.workerID)},r.prototype.abortTile=function(t){t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},null,t.workerID)},r.prototype.onRemove=function(){this._removed=!0,this.dispatcher.send(\"removeSource\",{type:this.type,source:this.id},null,this.workerID)},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),K=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),Q=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Q.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Q.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,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},Q.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var tt=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.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._transformRequest(this.url,t.ResourceType.Image),function(r,n){r?e.fire(new t.ErrorEvent(r)):n&&(e.image=a.getImageData(n),e._finishLoading())})},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){this.coordinates=e;var r=this.map,n=e.map(function(t){return r.transform.locationCoordinate(G.convert(t)).zoomTo(0)}),i=this.centerCoord=t.getCoordinatesCenter(n);i.column=Math.floor(i.column),i.row=Math.floor(i.row),this.tileID=new t.CanonicalTileID(i.zoom,i.column,i.row),this.minzoom=this.maxzoom=i.zoom;var a=n.map(function(e){var r=e.zoomTo(i.zoom);return new t.default$1(Math.round((r.column-i.column)*t.default$8),Math.round((r.row-i.row)*t.default$8))});return this._boundsArray=new t.RasterBoundsArray,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.default$8,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.default$8),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.default$8,t.default$8),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 t=this.map.painter.context,e=t.gl;for(var r in this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,K.members)),this.boundsVAO||(this.boundsVAO=new Q),this.texture||(this.texture=new z(t,this.image,e.RGBA),this.texture.bind(e.LINEAR,e.CLAMP_TO_EDGE)),this.tiles){var n=this.tiles[r];\"loaded\"!==n.state&&(n.state=\"loaded\",n.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),et=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this,r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];e.urls.push(e.map._transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",function(){e.map._rerender()}),e.map&&e.video.play(),e._finishLoading())})},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 t=this.map.painter.context,e=t.gl;for(var r in this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,K.members)),this.boundsVAO||(this.boundsVAO=new Q),this.texture?this.video.paused||(this.texture.bind(e.LINEAR,e.CLAMP_TO_EDGE),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.video)):(this.texture=new z(t,this.video,e.RGBA),this.texture.bind(e.LINEAR,e.CLAMP_TO_EDGE)),this.tiles){var n=this.tiles[r];\"loaded\"!==n.state&&(n.state=\"loaded\",n.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}(tt),rt=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.default$9(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.default$9(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.default$9(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.default.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.default$9(\"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.default$9(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this.canvas||(this.canvas=this.options.canvas instanceof t.default.HTMLCanvasElement?this.options.canvas:t.default.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._rerender()},this.pause=function(){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 t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,K.members)),this.boundsVAO||(this.boundsVAO=new Q),this.texture?t?this.texture.update(this.canvas):this._playing&&(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.canvas)):(this.texture=new z(e,this.canvas,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:\"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}(tt),nt={vector:X,raster:Z,\"raster-dem\":$,geojson:J,video:et,image:tt,canvas:rt},it=function(e,r,n,i){var a=new nt[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};function at(t,e,r,n,i){var a=i.maxPitchScaleFactor(),o=t.tilesIn(r,a);o.sort(ot);for(var s=[],l=0,c=o;l<c.length;l+=1){var u=c[l];s.push({wrappedTileID:u.tileID.wrapped().key,queryResults:u.tile.queryRenderedFeatures(e,u.queryGeometry,u.scale,n,i,a,t.transform.calculatePosMatrix(u.tileID.toUnwrapped()))})}return function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g.feature))}}return e}(s)}function ot(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 st=function(e,r){this.tileID=e,this.uid=t.uniqueId(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.expiredRequestCount=0,this.state=\"loading\"};st.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<a.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},st.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},st.prototype.loadVectorData=function(e,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",e){if(e.featureIndex&&(this.latestFeatureIndex=e.featureIndex,e.rawTileData?(this.latestRawTileData=e.rawTileData,this.latestFeatureIndex.rawTileData=e.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=e.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==o.length){a.layers=o;for(var s=0,l=o;s<l.length;s+=1)r[l[s].id]=a}}return r}(e.buckets,r.style),n)for(var i in this.buckets){var a=this.buckets[i];a instanceof t.default$14&&(a.justReloaded=!0)}for(var o in this.queryPadding=0,this.buckets){var s=this.buckets[o];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(s.layerIds[0]).queryRadius(s))}e.iconAtlasImage&&(this.iconAtlasImage=e.iconAtlasImage),e.glyphAtlasImage&&(this.glyphAtlasImage=e.glyphAtlasImage)}else this.collisionBoxArray=new t.CollisionBoxArray},st.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.iconAtlasTexture&&this.iconAtlasTexture.destroy(),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},st.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\"},st.prototype.getBucket=function(t){return this.buckets[t.id]},st.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploaded||(r.upload(t),r.uploaded=!0)}var n=t.gl;this.iconAtlasImage&&(this.iconAtlasTexture=new z(t,this.iconAtlasImage,n.RGBA),this.iconAtlasImage=null),this.glyphAtlasImage&&(this.glyphAtlasTexture=new z(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},st.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:e,scale:r,tileSize:this.tileSize,posMatrix:o,transform:i,params:n,queryPadding:this.queryPadding*a},t):{}},st.prototype.querySourceFeatures=function(e,r){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var n=this.latestFeatureIndex.loadVTLayers(),i=r?r.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=t.default$13(r&&r.filter),s={z:this.tileID.overscaledZ,x:this.tileID.canonical.x,y:this.tileID.canonical.y},l=0;l<a.length;l++){var c=a.feature(l);if(o(new t.default$16(this.tileID.overscaledZ),c)){var u=new t.default$12(c,s.z,s.x,s.y);u.tile=s,e.push(u)}}}},st.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},st.prototype.setMask=function(e,r){if(!t.default$10(this.mask,e)&&(this.mask=e,this.clearMask(),!t.default$10(e,{0:!0}))){var n=new t.RasterBoundsArray,i=new t.TriangleIndexArray;this.segments=new t.default$15,this.segments.prepareSegment(0,n,i);for(var a=Object.keys(e),o=0;o<a.length;o++){var s=e[a[o]],l=t.default$8>>s.z,c=new t.default$1(s.x*l,s.y*l),u=new t.default$1(c.x+l,c.y+l),h=this.segments.prepareSegment(4,n,i);n.emplaceBack(c.x,c.y,c.x,c.y),n.emplaceBack(u.x,c.y,u.x,c.y),n.emplaceBack(c.x,u.y,c.x,u.y),n.emplaceBack(u.x,u.y,u.x,u.y);var f=h.vertexLength;i.emplaceBack(f,f+1,f+2),i.emplaceBack(f+1,f+2,f+3),h.vertexLength+=4,h.primitiveLength+=2}this.maskedBoundsBuffer=r.createVertexBuffer(n,K.members),this.maskedIndexBuffer=r.createIndexBuffer(i)}},st.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},st.prototype.setExpiryData=function(e){var r=this.expirationTime;if(e.cacheControl){var n=t.parseCacheControl(e.cacheControl);n[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*n[\"max-age\"])}else e.expires&&(this.expirationTime=new Date(e.expires).getTime());if(this.expirationTime){var i=Date.now(),a=!1;if(this.expirationTime>i)a=!1;else if(r)if(this.expirationTime<r)a=!0;else{var o=this.expirationTime-r;o?this.expirationTime=i+Math.max(o,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},st.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)};var lt=function(t,e){this.max=t,this.onRemove=e,this.reset()};lt.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},lt.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},lt.prototype.has=function(t){return t.wrapped().key in this.data},lt.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},lt.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},lt.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},lt.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},lt.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};var ct=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.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};ct.prototype.unbindVAO=function(){this.context.extVertexArrayObject&&this.context.bindVertexArrayOES.set(null)},ct.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},ct.prototype.updateData=function(t){var e=this.context.gl;this.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},ct.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var ut={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},ht=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};ht.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},ht.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},ht.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},ht.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[ut[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},ht.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var ft=function(e){this.context=e,this.current=t.default$6.transparent};ft.prototype.get=function(){return this.current},ft.prototype.set=function(t){var e=this.current;t.r===e.r&&t.g===e.g&&t.b===e.b&&t.a===e.a||(this.context.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t)};var pt=function(t){this.context=t,this.current=1};pt.prototype.get=function(){return this.current},pt.prototype.set=function(t){this.current!==t&&(this.context.gl.clearDepth(t),this.current=t)};var dt=function(t){this.context=t,this.current=0};dt.prototype.get=function(){return this.current},dt.prototype.set=function(t){this.current!==t&&(this.context.gl.clearStencil(t),this.current=t)};var gt=function(t){this.context=t,this.current=[!0,!0,!0,!0]};gt.prototype.get=function(){return this.current},gt.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]||(this.context.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t)};var mt=function(t){this.context=t,this.current=!0};mt.prototype.get=function(){return this.current},mt.prototype.set=function(t){this.current!==t&&(this.context.gl.depthMask(t),this.current=t)};var vt=function(t){this.context=t,this.current=255};vt.prototype.get=function(){return this.current},vt.prototype.set=function(t){this.current!==t&&(this.context.gl.stencilMask(t),this.current=t)};var yt=function(t){this.context=t,this.current={func:t.gl.ALWAYS,ref:0,mask:255}};yt.prototype.get=function(){return this.current},yt.prototype.set=function(t){var e=this.current;t.func===e.func&&t.ref===e.ref&&t.mask===e.mask||(this.context.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t)};var xt=function(t){this.context=t;var e=this.context.gl;this.current=[e.KEEP,e.KEEP,e.KEEP]};xt.prototype.get=function(){return this.current},xt.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]||(this.context.gl.stencilOp(t[0],t[1],t[2]),this.current=t)};var bt=function(t){this.context=t,this.current=!1};bt.prototype.get=function(){return this.current},bt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t}};var _t=function(t){this.context=t,this.current=[0,1]};_t.prototype.get=function(){return this.current},_t.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]||(this.context.gl.depthRange(t[0],t[1]),this.current=t)};var wt=function(t){this.context=t,this.current=!1};wt.prototype.get=function(){return this.current},wt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t}};var kt=function(t){this.context=t,this.current=t.gl.LESS};kt.prototype.get=function(){return this.current},kt.prototype.set=function(t){this.current!==t&&(this.context.gl.depthFunc(t),this.current=t)};var Mt=function(t){this.context=t,this.current=!1};Mt.prototype.get=function(){return this.current},Mt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t}};var At=function(t){this.context=t;var e=this.context.gl;this.current=[e.ONE,e.ZERO]};At.prototype.get=function(){return this.current},At.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]||(this.context.gl.blendFunc(t[0],t[1]),this.current=t)};var Tt=function(e){this.context=e,this.current=t.default$6.transparent};Tt.prototype.get=function(){return this.current},Tt.prototype.set=function(t){var e=this.current;t.r===e.r&&t.g===e.g&&t.b===e.b&&t.a===e.a||(this.context.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t)};var St=function(t){this.context=t,this.current=null};St.prototype.get=function(){return this.current},St.prototype.set=function(t){this.current!==t&&(this.context.gl.useProgram(t),this.current=t)};var Et=function(t){this.context=t,this.current=1};Et.prototype.get=function(){return this.current},Et.prototype.set=function(e){var r=this.context.lineWidthRange,n=t.clamp(e,r[0],r[1]);this.current!==n&&(this.context.gl.lineWidth(n),this.current=e)};var Ct=function(t){this.context=t,this.current=t.gl.TEXTURE0};Ct.prototype.get=function(){return this.current},Ct.prototype.set=function(t){this.current!==t&&(this.context.gl.activeTexture(t),this.current=t)};var Lt=function(t){this.context=t;var e=this.context.gl;this.current=[0,0,e.drawingBufferWidth,e.drawingBufferHeight]};Lt.prototype.get=function(){return this.current},Lt.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]||(this.context.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t)};var zt=function(t){this.context=t,this.current=null};zt.prototype.get=function(){return this.current},zt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t}};var Pt=function(t){this.context=t,this.current=null};Pt.prototype.get=function(){return this.current},Pt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t}};var It=function(t){this.context=t,this.current=null};It.prototype.get=function(){return this.current},It.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t}};var Ot=function(t){this.context=t,this.current=null};Ot.prototype.get=function(){return this.current},Ot.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t}};var Dt=function(t){this.context=t,this.current=null};Dt.prototype.get=function(){return this.current},Dt.prototype.set=function(t){var e=this.context.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t};var Rt=function(t){this.context=t,this.current=null};Rt.prototype.get=function(){return this.current},Rt.prototype.set=function(t){this.current!==t&&this.context.extVertexArrayObject&&(this.context.extVertexArrayObject.bindVertexArrayOES(t),this.current=t)};var Bt=function(t){this.context=t,this.current=4};Bt.prototype.get=function(){return this.current},Bt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t}};var Ft=function(t){this.context=t,this.current=!1};Ft.prototype.get=function(){return this.current},Ft.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t}};var Nt=function(t,e){this.context=t,this.current=null,this.parent=e};Nt.prototype.get=function(){return this.current};var jt=function(t){function e(e,r){t.call(this,e,r),this.dirty=!1}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(this.dirty||this.current!==t){var e=this.context.gl;this.context.bindFramebuffer.set(this.parent),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e.prototype.setDirty=function(){this.dirty=!0},e}(Nt),Vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;this.context.bindFramebuffer.set(this.parent),e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t}},e}(Nt),Ut=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,i=this.framebuffer=n.createFramebuffer();this.colorAttachment=new jt(t,i),this.depthAttachment=new Vt(t,i)};Ut.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var qt=function(t,e,r){this.func=t,this.mask=e,this.range=r};qt.ReadOnly=!1,qt.ReadWrite=!0,qt.disabled=new qt(519,qt.ReadOnly,[0,1]);var Ht=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};Ht.disabled=new Ht({func:519,mask:0},0,0,7680,7680,7680);var Gt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Gt.disabled=new Gt(Gt.Replace=[1,0],t.default$6.transparent,[!1,!1,!1,!1]),Gt.unblended=new Gt(Gt.Replace,t.default$6.transparent,[!0,!0,!0,!0]),Gt.alphaBlended=new Gt([1,771],t.default$6.transparent,[!0,!0,!0,!0]);var Wt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE),this.clearColor=new ft(this),this.clearDepth=new pt(this),this.clearStencil=new dt(this),this.colorMask=new gt(this),this.depthMask=new mt(this),this.stencilMask=new vt(this),this.stencilFunc=new yt(this),this.stencilOp=new xt(this),this.stencilTest=new bt(this),this.depthRange=new _t(this),this.depthTest=new wt(this),this.depthFunc=new kt(this),this.blend=new Mt(this),this.blendFunc=new At(this),this.blendColor=new Tt(this),this.program=new St(this),this.lineWidth=new Et(this),this.activeTexture=new Ct(this),this.viewport=new Lt(this),this.bindFramebuffer=new zt(this),this.bindRenderbuffer=new Pt(this),this.bindTexture=new It(this),this.bindVertexBuffer=new Ot(this),this.bindElementBuffer=new Dt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new Rt(this),this.pixelStoreUnpack=new Bt(this),this.pixelStoreUnpackPremultiplyAlpha=new Ft(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\")};Wt.prototype.createIndexBuffer=function(t,e){return new ct(this,t,e)},Wt.prototype.createVertexBuffer=function(t,e,r){return new ht(this,t,e,r)},Wt.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},Wt.prototype.createFramebuffer=function(t,e){return new Ut(this,t,e)},Wt.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.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Wt.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)},Wt.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)},Wt.prototype.setColorMode=function(e){t.default$10(e.blendFunction,Gt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)};var Yt=function(e){function r(t,r,n){var i=this;e.call(this),this.id=t,this.dispatcher=n,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on(\"error\",function(){i._sourceErrored=!0}),this._source=it(t,r,n,this),this._tiles={},this._cache=new lt(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._isIdRenderable=this._isIdRenderable.bind(this),this._coveredTiles={}}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;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._tiles)this._tiles[e].upload(t)},r.prototype.getIds=function(){var e=this;return Object.keys(this._tiles).map(Number).sort(function(r,n){var i=e._tiles[r].tileID,a=e._tiles[n].tileID,o=new t.default$1(i.canonical.x,i.canonical.y).rotate(e.transform.angle),s=new t.default$1(a.canonical.x,a.canonical.y).rotate(e.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})},r.prototype.getRenderableIds=function(){return this.getIds().filter(this._isIdRenderable)},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0,{});return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)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=a.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID})),this.map&&(this.map.painter.tileExtentVAO.vao=null)},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.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._findLoadedChildren=function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.hasData()||a.tileID.overscaledZ<=t.overscaledZ||a.tileID.overscaledZ>e)){var o=Math.pow(2,a.tileID.canonical.z-t.canonical.z);if(Math.floor(a.tileID.canonical.x/o)===t.canonical.x&&Math.floor(a.tileID.canonical.y/o)===t.canonical.y)for(r[i]=a.tileID,n=!0;a&&a.tileID.overscaledZ-1>t.overscaledZ;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);if(!s)break;(a=this._tiles[s.key])&&a.hasData()&&(delete r[i],r[s.key]=s)}}}return n},r.prototype.findLoadedParent=function(t,e,r){for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n);if(!i)return;var a=String(i.key),o=this._tiles[a];if(o&&o.hasData())return r[a]=i,o;if(this._cache.has(i))return r[a]=i,this._cache.get(i)}},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter(function(t){return n._source.hasTile(t)}))):i=[];var o,s=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),l=Math.max(s-r.maxOverzooming,this._source.minzoom),c=Math.max(s+r.maxUnderzooming,this._source.minzoom),u=this._updateRetainedTiles(i,s),h={};if(Zt(this._source.type))for(var f=Object.keys(u),p=0;p<f.length;p++){var d=f[p],g=u[d],m=n._tiles[d];if(m&&(void 0===m.fadeEndTime||m.fadeEndTime>=a.now())){n._findLoadedChildren(g,c,u)&&(u[d]=g);var v=n.findLoadedParent(g,l,h);v&&n._addTile(v.tileID)}}for(o in h)u[o]||(n._coveredTiles[o]=!0);for(o in h)u[o]=h[o];for(var y=t.keysDifference(this._tiles,u),x=0;x<y.length;x++)n._removeTile(y[x])}},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=0;s<t.length;s++){var l=t[s],c=this._addTile(l),u=!1;if(c.hasData())n[l.key]=l;else{u=c.wasRequested(),n[l.key]=l;var h=!0;if(e+1>this._source.maxzoom){var f=l.children(this._source.maxzoom)[0],p=this.getTile(f);p&&p.hasData()?n[f.key]=f:h=!1}else{this._findLoadedChildren(l,o,n);for(var d=l.children(this._source.maxzoom),g=0;g<d.length;g++)if(!n[d[g].key]){h=!1;break}}if(!h)for(var m=l.overscaledZ-1;m>=a;--m){var v=l.scaledTo(m);if(i[v.key])break;if(i[v.key]=!0,!(c=this.getTile(v))&&u&&(c=this._addTile(v)),c&&(n[v.key]=v,u=c.wasRequested(),c.hasData()))break}}}return n},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);var n=Boolean(r);return n||(r=new st(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()?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){for(var n=[],i=this.getIds(),a=1/0,o=1/0,s=-1/0,l=-1/0,c=e[0].zoom,u=0;u<e.length;u++){var h=e[u];a=Math.min(a,h.column),o=Math.min(o,h.row),s=Math.max(s,h.column),l=Math.max(l,h.row)}for(var f=0;f<i.length;f++){var p=this._tiles[i[f]],d=p.tileID,g=Math.pow(2,this.transform.zoom-p.tileID.overscaledZ),m=r*p.queryPadding*t.default$8/p.tileSize/g,v=[Xt(d,new t.default$17(a,o,c)),Xt(d,new t.default$17(s,l,c))];if(v[0].x-m<t.default$8&&v[0].y-m<t.default$8&&v[1].x+m>=0&&v[1].y+m>=0){for(var y=[],x=0;x<e.length;x++)y.push(Xt(d,e[x]));n.push({tile:p,tileID:d,queryGeometry:[y],scale:g})}}return n},r.prototype.getVisibleCoordinates=function(){for(var t=this,e=this.getRenderableIds().map(function(e){return t._tiles[e].tileID}),r=0,n=e;r<n.length;r+=1){var i=n[r];i.posMatrix=t.transform.calculatePosMatrix(i.toUnwrapped())}return e},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Zt(this._source.type))for(var t in this._tiles){var e=this._tiles[t];if(void 0!==e.fadeEndTime&&e.fadeEndTime>=a.now())return!0}return!1},r}(t.Evented);function Xt(e,r){var n=r.zoomTo(e.canonical.z);return new t.default$1((n.column-(e.canonical.x+e.wrap*Math.pow(2,e.canonical.z)))*t.default$8,(n.row-e.canonical.y)*t.default$8)}function Zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function $t(){return new t.default.Worker(En.workerUrl)}Yt.maxOverzooming=10,Yt.maxUnderzooming=3;var Jt,Kt=function(){this.active={}};function Qt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.default$18.forEach(function(t){t in r&&(n[t]=r[t])}),n}function te(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]=Qt(t[n],e[t[n].ref]));return t}Kt.prototype.acquire=function(t){if(!this.workers){var e=En.workerCount;for(this.workers=[];this.workers.length<e;)this.workers.push(new $t)}return this.active[t]=!0,this.workers.slice()},Kt.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var ee={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 re(t,e,r){r.push({command:ee.addSource,args:[t,e[t]]})}function ne(t,e,r){e.push({command:ee.removeSource,args:[t]}),r[t]=!0}function ie(t,e,r,n){ne(t,r,n),re(t,e,r)}function ae(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.default$10(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.default$10(e[n][i],r[n][i]))return!1;return!0}function oe(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.default$10(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.default$10(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function se(t){return t.id}function le(t,e){return t[e.id]=e,t}var ce=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};ce.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},ce.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)},ce.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)},ce.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},ce.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},ce.prototype._query=function(t,e,r,n,i){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var a=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var o=0;o<this.boxKeys.length;o++)a.push({key:this.boxKeys[o],x1:this.bboxes[4*o],y1:this.bboxes[4*o+1],x2:this.bboxes[4*o+2],y2:this.bboxes[4*o+3]});for(var s=0;s<this.circleKeys.length;s++){var l=this.circles[3*s],c=this.circles[3*s+1],u=this.circles[3*s+2];a.push({key:this.circleKeys[s],x1:l-u,y1:c-u,x2:l+u,y2:c+u})}}else{var h={hitTest:i,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,a,h)}return i?a.length>0:a},ce.prototype._queryCircle=function(t,e,r,n){var i=t-r,a=t+r,o=e-r,s=e+r;if(a<0||i>this.width||s<0||o>this.height)return!n&&[];var l=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(i,o,a,s,this._queryCellCircle,l,c),n?l.length>0:l},ce.prototype.query=function(t,e,r,n){return this._query(t,e,r,n,!1)},ce.prototype.hitTest=function(t,e,r,n){return this._query(t,e,r,n,!0)},ce.prototype.hitTestCircle=function(t,e,r){return this._queryCircle(t,e,r,!0)},ce.prototype._queryCell=function(t,e,r,n,i,a,o){var s=o.seenUids,l=this.boxCells[i];if(null!==l)for(var c=this.bboxes,u=0,h=l;u<h.length;u+=1){var f=h[u];if(!s.box[f]){s.box[f]=!0;var p=4*f;if(t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1]){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[f],x1:c[p],y1:c[p+1],x2:c[p+2],y2:c[p+3]})}}}var d=this.circleCells[i];if(null!==d)for(var g=this.circles,m=0,v=d;m<v.length;m+=1){var y=v[m];if(!s.circle[y]){s.circle[y]=!0;var x=3*y;if(this._circleAndRectCollide(g[x],g[x+1],g[x+2],t,e,r,n)){if(o.hitTest)return a.push(!0),!0;var b=g[x],_=g[x+1],w=g[x+2];a.push({key:this.circleKeys[y],x1:b-w,y1:_-w,x2:b+w,y2:_+w})}}}},ce.prototype._queryCellCircle=function(t,e,r,n,i,a,o){var s=o.circle,l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(this._circleAndRectCollide(s.x,s.y,s.radius,u[d+0],u[d+1],u[d+2],u[d+3]))return a.push(!0),!0}}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._circlesCollide(m[b],m[b+1],m[b+2],s.x,s.y,s.radius))return a.push(!0),!0}}},ce.prototype._forEachCell=function(t,e,r,n,i,a,o){for(var s=this._convertToXCellCoord(t),l=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),u=this._convertToYCellCoord(n),h=s;h<=c;h++)for(var f=l;f<=u;f++){var p=this.xCellCount*f+h;if(i.call(this,t,e,r,n,p,a,o))return}},ce.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},ce.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},ce.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},ce.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ue=t.default$19.layout;function he(e,r,n,i,a){var o=t.mat4.identity(new Float32Array(16));return r?(t.mat4.identity(o),t.mat4.scale(o,o,[1/a,1/a,1]),n||t.mat4.rotateZ(o,o,i.angle)):(t.mat4.scale(o,o,[i.width/2,-i.height/2,1]),t.mat4.translate(o,o,[1,-1,0]),t.mat4.multiply(o,o,e)),o}function fe(e,r,n,i,a){var o=t.mat4.identity(new Float32Array(16));return r?(t.mat4.multiply(o,o,e),t.mat4.scale(o,o,[a,a,1]),n||t.mat4.rotateZ(o,o,-i.angle)):(t.mat4.scale(o,o,[1,-1,1]),t.mat4.translate(o,o,[-1,-1,0]),t.mat4.scale(o,o,[2/i.width,2/i.height,1])),o}function pe(e,r){var n=[e.x,e.y,0,1];ke(n,n,r);var i=n[3];return{point:new t.default$1(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function de(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 ge(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom,ue.properties[i?\"text-size\":\"icon-size\"]),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,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)we(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.vec4.transformMat4(x,x,r),de(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.default$1(y.anchorX,y.anchorY),M=pe(k,a).point,A={},T=ye(y,w,!1,l,r,a,o,e.glyphOffsetArray,p,f,M,k,A,g);m=T.useVertical,(T.notEnoughRoom||m||T.needsFlipping&&ye(y,w,!0,l,r,a,o,e.glyphOffsetArray,p,f,M,k,A,g).notEnoughRoom)&&we(y.numGlyphs,f)}else we(y.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function me(t,e,r,n,i,a,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),v=be(t*g,r,n,i,a,o,s.segment,p,d,l,c,u,h);if(!v)return null;var y=be(t*m,r,n,i,a,o,s.segment,p,d,l,c,u,h);return y?{first:v,last:y}:null}function ve(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 ye(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*r,y=e.lineOffsetY*r;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=me(m,l,v,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=pe(w.first.point,s).point,M=pe(w.last.point,s).point;if(i&&!n){var A=ve(e.writingMode,k,M,d);if(A)return A}g=[w.first];for(var T=e.glyphStartIndex+1;T<x-1;T++)g.push(be(m*l.getoffsetX(T),v,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(i&&!n){var S=pe(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.default$1(c.getx(E),c.gety(E)),L=pe(C,a),z=L.signedDistanceFromCamera>0?L.point:xe(f,C,S,1,a),P=ve(e.writingMode,S,z,d);if(P)return P}var I=be(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!I)return{notEnoughRoom:!0};g=[I]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function xe(t,e,r,n,i){var a=pe(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function be(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=i?e-r:e+r,g=d>0?1:-1,m=0;i&&(g*=-1,m=Math.PI),g<0&&(m+=Math.PI);for(var v=g>0?l+s:l+s+1,y=v,x=a,b=a,_=0,w=0,k=Math.abs(d);_+w<=k;){if((v+=g)<l||v>=c)return null;if(b=x,void 0===(x=f[v])){var M=new t.default$1(u.getx(v),u.gety(v)),A=pe(M,h);if(A.signedDistanceFromCamera>0)x=f[v]=A.point;else{var T=v-g;x=xe(0===_?o:new t.default$1(u.getx(T),u.gety(T)),M,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),C=E.mult(S)._add(b);return C._add(E._unit()._perp()._mult(n*g)),{point:C,angle:m+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:v-g===y?0:u.gettileUnitDistanceFromAnchor(v-g),lastSegmentViewportDistance:k-_}:null}}var _e=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function we(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(_e,3*n)}}function ke(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}t.default$20.mat4;var Me=function(t,e,r){void 0===e&&(e=new ce(t.width+200,t.height+200,25)),void 0===r&&(r=new ce(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};function Ae(t,e,r){t[e+4]=r?1:0}function Te(e,r,n){return r*(t.default$8/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}Me.prototype.placeCollisionBox=function(t,e,r,n){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),a=r*i.perspectiveRatio,o=t.x1*a+i.point.x,s=t.y1*a+i.point.y,l=t.x2*a+i.point.x,c=t.y2*a+i.point.y;return!e&&this.grid.hitTest(o,s,l,c)?{box:[],offscreen:!1}:{box:[o,s,l,c],offscreen:this.isOffscreen(o,s,l,c)}},Me.prototype.approximateTileDistance=function(t,e,r,n,i){var a=i?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(a-1)*o*Math.abs(Math.sin(e))},Me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(u,o.anchorX,o.anchorY),m=c/24,v=o.lineOffsetX*c,y=o.lineOffsetY*c,x=new t.default$1(o.anchorX,o.anchorY),b=me(m,l,v,y,!1,pe(x,h).point,x,o,s,h,{},!0),_=!1,w=!0,k=g.perspectiveRatio*i,M=1/(i*n),A=0,T=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,p),T=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,p));for(var S=0;S<e.length;S+=5){var E=e[S],C=e[S+1],L=e[S+2],z=e[S+3];if(!b||z<-A||z>T)Ae(e,S,!1);else{var P=this.projectPoint(u,E,C),I=L*k;if(d.length>0){var O=P.x-d[d.length-4],D=P.y-d[d.length-3];if(I*I*2>O*O+D*D&&S+8<e.length){var R=e[S+8];if(R>-A&&R<T){Ae(e,S,!1);continue}}}var B=S/5;if(d.push(P.x,P.y,I,B),Ae(e,S,!0),w=w&&this.isOffscreen(P.x-I,P.y-I,P.x+I,P.y+I),!r&&this.grid.hitTestCircle(P.x,P.y,I)){if(!f)return{circles:[],offscreen:!1};_=!0}}}return{circles:_?[]:d,offscreen:w}},Me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.default$1(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 h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.default$1(g.x1,g.y1),new t.default$1(g.x2,g.y1),new t.default$1(g.x2,g.y2),new t.default$1(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},Me.prototype.insertCollisionBox=function(t,e,r,n){var i={bucketInstanceId:r,featureIndex:n};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},Me.prototype.insertCollisionCircles=function(t,e,r,n){for(var i=e?this.ignoredGrid:this.grid,a={bucketInstanceId:r,featureIndex:n},o=0;o<t.length;o+=4)i.insertCircle(a,t[o],t[o+1],t[o+2])},Me.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return ke(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},Me.prototype.projectPoint=function(e,r,n){var i=[r,n,0,1];return ke(i,i,e),new t.default$1((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100)},Me.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return ke(i,i,e),{point:new t.default$1((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}},Me.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary};var Se=t.default$19.layout,Ee=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};Ee.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var Ce=function(t,e,r,n,i){this.text=new Ee(t?t.text:null,e,r,i),this.icon=new Ee(t?t.icon:null,e,n,i)};Ce.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var Le=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ze=function(t,e){this.transform=t.clone(),this.collisionIndex=new Me(this.transform),this.placements={},this.opacities={},this.stale=!1,this.fadeDuration=e,this.retainedQueryData={}};function Pe(t,e,r){t.emplaceBack(e?1:0,r?1:0),t.emplaceBack(e?1:0,r?1:0),t.emplaceBack(e?1:0,r?1:0),t.emplaceBack(e?1:0,r?1:0)}ze.prototype.placeLayerTile=function(e,r,n,i){var a=r.getBucket(e),o=r.latestFeatureIndex;if(a&&o&&e.id===a.layerIds[0]){var s=r.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.default$8,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=he(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,Te(r,1,this.transform.zoom)),p=he(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,Te(r,1,this.transform.zoom));this.retainedQueryData[a.bucketInstanceId]=new function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,r.tileID),this.placeLayerBucket(a,h,f,p,c,u,n,i,s)}},ze.prototype.placeLayerBucket=function(e,r,n,i,a,o,s,l,c){for(var u=e.layers[0].layout,h=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom,Se.properties[\"text-size\"]),f=!e.hasTextData()||u.get(\"text-optional\"),p=!e.hasIconData()||u.get(\"icon-optional\"),d=0,g=e.symbolInstances;d<g.length;d+=1){var m=g[d];if(!l[m.crossTileID]){var v=void 0!==m.feature.text,y=void 0!==m.feature.icon,x=!0,b=null,_=null,w=null,k=0,M=0;m.collisionArrays||(m.collisionArrays=e.deserializeCollisionBoxes(c,m.textBoxStartIndex,m.textBoxEndIndex,m.iconBoxStartIndex,m.iconBoxEndIndex)),m.collisionArrays.textFeatureIndex&&(k=m.collisionArrays.textFeatureIndex),m.collisionArrays.textBox&&(v=(b=this.collisionIndex.placeCollisionBox(m.collisionArrays.textBox,u.get(\"text-allow-overlap\"),o,r)).box.length>0,x=x&&b.offscreen);var A=m.collisionArrays.textCircles;if(A){var T=e.text.placedSymbolArray.get(m.placedTextSymbolIndices[0]),S=t.evaluateSizeForFeature(e.textSizeData,h,T);_=this.collisionIndex.placeCollisionCircles(A,u.get(\"text-allow-overlap\"),a,o,m.key,T,e.lineVertexArray,e.glyphOffsetArray,S,r,n,s,\"map\"===u.get(\"text-pitch-alignment\")),v=u.get(\"text-allow-overlap\")||_.circles.length>0,x=x&&_.offscreen}m.collisionArrays.iconFeatureIndex&&(M=m.collisionArrays.iconFeatureIndex),m.collisionArrays.iconBox&&(y=(w=this.collisionIndex.placeCollisionBox(m.collisionArrays.iconBox,u.get(\"icon-allow-overlap\"),o,r)).box.length>0,x=x&&w.offscreen),f||p?p?f||(y=y&&v):v=y&&v:y=v=y&&v,v&&b&&this.collisionIndex.insertCollisionBox(b.box,u.get(\"text-ignore-placement\"),e.bucketInstanceId,k),y&&w&&this.collisionIndex.insertCollisionBox(w.box,u.get(\"icon-ignore-placement\"),e.bucketInstanceId,M),v&&_&&this.collisionIndex.insertCollisionCircles(_.circles,u.get(\"text-ignore-placement\"),e.bucketInstanceId,k),this.placements[m.crossTileID]=new Le(v,y,x||e.justReloaded),l[m.crossTileID]=!0}}e.justReloaded=!1},ze.prototype.commit=function(t,e){this.commitTime=e;var r=!1,n=t&&0!==this.fadeDuration?(this.commitTime-t.commitTime)/this.fadeDuration:1,i=t?t.opacities:{};for(var a in this.placements){var o=this.placements[a],s=i[a];s?(this.opacities[a]=new Ce(s,n,o.text,o.icon),r=r||o.text!==s.text.placed||o.icon!==s.icon.placed):(this.opacities[a]=new Ce(null,n,o.text,o.icon,o.skipFade),r=r||o.text||o.icon)}for(var l in i){var c=i[l];if(!this.opacities[l]){var u=new Ce(c,n,!1,!1);u.isHidden()||(this.opacities[l]=u,r=r||c.text.placed||c.icon.placed)}}r?this.lastPlacementChangeTime=e:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=t?t.lastPlacementChangeTime:e)},ze.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)}},ze.prototype.updateBucketOpacities=function(t,e,r){t.hasTextData()&&t.text.opacityVertexArray.clear(),t.hasIconData()&&t.icon.opacityVertexArray.clear(),t.hasCollisionBoxData()&&t.collisionBox.collisionVertexArray.clear(),t.hasCollisionCircleData()&&t.collisionCircle.collisionVertexArray.clear();for(var n=t.layers[0].layout,i=new Ce(null,0,!1,!1,!0),a=new Ce(null,0,n.get(\"text-allow-overlap\"),n.get(\"icon-allow-overlap\"),!0),o=0;o<t.symbolInstances.length;o++){var s=t.symbolInstances[o],l=e[s.crossTileID],c=this.opacities[s.crossTileID];l?c=i:c||(c=a,this.opacities[s.crossTileID]=c),e[s.crossTileID]=!0;var u=s.numGlyphVertices>0||s.numVerticalGlyphVertices>0,h=s.numIconVertices>0;if(u){for(var f=je(c.text),p=(s.numGlyphVertices+s.numVerticalGlyphVertices)/4,d=0;d<p;d++)t.text.opacityVertexArray.emplaceBack(f);for(var g=0,m=s.placedTextSymbolIndices;g<m.length;g+=1){var v=m[g];t.text.placedSymbolArray.get(v).hidden=c.text.isHidden()}}if(h){for(var y=je(c.icon),x=0;x<s.numIconVertices/4;x++)t.icon.opacityVertexArray.emplaceBack(y);t.icon.placedSymbolArray.get(o).hidden=c.icon.isHidden()}s.collisionArrays||(s.collisionArrays=t.deserializeCollisionBoxes(r,s.textBoxStartIndex,s.textBoxEndIndex,s.iconBoxStartIndex,s.iconBoxEndIndex));var b=s.collisionArrays;if(b){b.textBox&&t.hasCollisionBoxData()&&Pe(t.collisionBox.collisionVertexArray,c.text.placed,!1),b.iconBox&&t.hasCollisionBoxData()&&Pe(t.collisionBox.collisionVertexArray,c.icon.placed,!1);var _=b.textCircles;if(_&&t.hasCollisionCircleData())for(var w=0;w<_.length;w+=5){var k=l||0===_[w+4];Pe(t.collisionCircle.collisionVertexArray,c.text.placed,k)}}}t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasCollisionBoxData()&&t.collisionBox.collisionVertexBuffer&&t.collisionBox.collisionVertexBuffer.updateData(t.collisionBox.collisionVertexArray),t.hasCollisionCircleData()&&t.collisionCircle.collisionVertexBuffer&&t.collisionCircle.collisionVertexBuffer.updateData(t.collisionCircle.collisionVertexArray)},ze.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ze.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ze.prototype.stillRecent=function(t){return\"undefined\"!==this.commitTime&&this.commitTime+this.fadeDuration>t},ze.prototype.setStale=function(){this.stale=!0};var Ie=Math.pow(2,25),Oe=Math.pow(2,24),De=Math.pow(2,17),Re=Math.pow(2,16),Be=Math.pow(2,9),Fe=Math.pow(2,8),Ne=Math.pow(2,1);function je(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*Ie+e*Oe+r*De+e*Re+r*Be+e*Fe+r*Ne+e}var Ve=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ve.prototype.continuePlacement=function(t,e,r,n,i){for(;this._currentTileIndex<t.length;){var a=t[this._currentTileIndex];if(e.placeLayerTile(n,a,r,this._seenCrossTileIDs),this._currentTileIndex++,i())return!0}};var Ue=function(t,e,r,n,i){this.placement=new ze(t,i),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Ue.prototype.isDone=function(){return this._done},Ue.prototype.continuePlacement=function(t,e,r){for(var n=this,i=a.now(),o=function(){var t=a.now()-i;return!n._forceFullPlacement&&t>2};this._currentPlacementIndex>=0;){var s=e[t[n._currentPlacementIndex]],l=n.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(n._inProgressLayer||(n._inProgressLayer=new Ve),n._inProgressLayer.continuePlacement(r[s.source],n.placement,n._showCollisionBoxes,s,o))return;delete n._inProgressLayer}n._currentPlacementIndex--}this._done=!0},Ue.prototype.commit=function(t,e){return this.placement.commit(t,e),this.placement};var qe=512/t.default$8/2,He=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.key;this.indexedSymbolInstances[o]||(this.indexedSymbolInstances[o]=[]),this.indexedSymbolInstances[o].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};He.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=qe/Math.pow(2,n),a=e.anchor;return{x:Math.floor((r.canonical.x*t.default$8+a.x)*i),y:Math.floor((r.canonical.y*t.default$8+a.y)*i)}},He.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,a=t;i<a.length;i+=1){var o=a[i];if(!o.crossTileID){var s=this.indexedSymbolInstances[o.key];if(s)for(var l=this.getScaledCoordinates(o,e),c=0,u=s;c<u.length;c+=1){var h=u[c];if(Math.abs(h.coord.x-l.x)<=n&&Math.abs(h.coord.y-l.y)<=n&&!r[h.crossTileID]){r[h.crossTileID]=!0,o.crossTileID=h.crossTileID;break}}}}};var Ge=function(){this.maxCrossTileID=0};Ge.prototype.generate=function(){return++this.maxCrossTileID};var We=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};We.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},We.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,i=e.symbolInstances;n<i.length;n+=1)i[n].crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var o in this.indexes){var s=this.indexes[o];if(Number(o)>t.overscaledZ)for(var l in s){var c=s[l];c.tileID.isChildOf(t)&&c.findMatches(e.symbolInstances,t,a)}else{var u=s[t.scaledTo(Number(o)).key];u&&u.findMatches(e.symbolInstances,t,a)}}for(var h=0,f=e.symbolInstances;h<f.length;h+=1){var p=f[h];p.crossTileID||(p.crossTileID=r.generate(),a[p.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new He(t,e.symbolInstances,e.bucketInstanceId),!0},We.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},We.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 Ye=function(){this.layerIndexes={},this.crossTileIDs=new Ge,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ye.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new We);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},Ye.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 Xe=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ze=t.pick(ee,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),$e=t.pick(ee,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Je=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new q((Jt||(Jt=new Kt),Jt),this),this.imageManager=new P,this.glyphManager=new F(n._transformRequest,i.localIdeographFontFamily),this.lineAtlas=new U(256,512),this.crossTileSymbolIndex=new Ye,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.default$23,this._loaded=!1,this._resetUpdates();var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!x(e);e=function(t,e){if(!x(t))return t;var r=A(t);return r.path=\"/styles/v1\"+r.path,y(r,e)}(e,r.accessToken);var a=this.map._transformRequest(e,t.ResourceType.Style);t.getJSON(a,function(e,r){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\"})),a.frame(function(){n._load(e,!1!==r.validate)})},r.prototype._load=function(e,r){var n=this;if(!r||!Xe(this,t.validateStyle(e))){for(var i in this._loaded=!0,this.stylesheet=e,e.sources)n.addSource(i,e.sources[i],{validate:!1});e.sprite?function(e,r,n){var i,o,s,l=a.devicePixelRatio>1?\"@2x\":\"\";function c(){if(s)n(s);else if(i&&o){var e=a.getImageData(o),r={};for(var l in i){var c=i[l],u=c.width,h=c.height,f=c.x,p=c.y,d=c.sdf,g=c.pixelRatio,m=new t.RGBAImage({width:u,height:h});t.RGBAImage.copy(e,m,{x:f,y:p},{x:0,y:0},{width:u,height:h}),r[l]={data:m,pixelRatio:g,sdf:d}}n(null,r)}}t.getJSON(r(_(e,l,\".json\"),t.ResourceType.SpriteJSON),function(t,e){s||(s=t,i=e,c())}),t.getImage(r(_(e,l,\".png\"),t.ResourceType.SpriteImage),function(t,e){s||(s=t,o=e,c())})}(e.sprite,this.map._transformRequest,function(e,r){if(e)n.fire(new t.ErrorEvent(e));else if(r)for(var i in r)n.imageManager.addImage(i,r[i]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var o=te(this.stylesheet.layers);this._order=o.map(function(t){return t.id}),this._layers={};for(var s=0,l=o;s<l.length;s+=1){var c=l[s];(c=t.default$22(c)).setEventedParent(n,{layer:{id:c.id}}),n._layers[c.id]=c}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},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){var e=this;return t.map(function(t){return e._layers[t].serialize()})},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){if(this._changed){var r=Object.keys(this._updatedLayers),n=Object.keys(this._removedLayers);for(var i in(r.length||n.length)&&this._updateWorkerLayers(r,n),this._updatedSources){var a=this._updatedSources[i];\"reload\"===a?this._reloadSource(i):\"clear\"===a&&this._clearSource(i)}for(var o in this._updatedPaintProps)this._layers[o].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates(),this.fire(new t.Event(\"data\",{dataType:\"style\"}))}for(var s in this.sourceCaches)this.sourceCaches[s].used=!1;for(var l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];h.recalculate(e),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom}},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={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Xe(this,t.validateStyle(e)))return!1;(e=t.clone(e)).layers=te(e.layers);var n=function(e,r){if(!e)return[{command:ee.setStyle,args:[r]}];var n=[];try{if(!t.default$10(e.version,r.version))return[{command:ee.setStyle,args:[r]}];t.default$10(e.center,r.center)||n.push({command:ee.setCenter,args:[r.center]}),t.default$10(e.zoom,r.zoom)||n.push({command:ee.setZoom,args:[r.zoom]}),t.default$10(e.bearing,r.bearing)||n.push({command:ee.setBearing,args:[r.bearing]}),t.default$10(e.pitch,r.pitch)||n.push({command:ee.setPitch,args:[r.pitch]}),t.default$10(e.sprite,r.sprite)||n.push({command:ee.setSprite,args:[r.sprite]}),t.default$10(e.glyphs,r.glyphs)||n.push({command:ee.setGlyphs,args:[r.glyphs]}),t.default$10(e.transition,r.transition)||n.push({command:ee.setTransition,args:[r.transition]}),t.default$10(e.light,r.light)||n.push({command:ee.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)||ne(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.default$10(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&ae(e,r,a)?n.push({command:ee.setGeoJSONSourceData,args:[a,r[a].data]}):ie(a,r,n,i)):re(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach(function(t){i[t.source]?n.push({command:ee.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(se),f=r.map(se),p=e.reduce(le,{}),d=r.reduce(le,{}),g=h.slice(),m=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:ee.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:ee.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:ee.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!m[o]&&!t.default$10(s,l))if(t.default$10(s.source,l.source)&&t.default$10(s[\"source-layer\"],l[\"source-layer\"])&&t.default$10(s.type,l.type)){for(u in oe(s.layout,l.layout,n,o,null,ee.setLayoutProperty),oe(s.paint,l.paint,n,o,null,ee.setPaintProperty),t.default$10(s.filter,l.filter)||n.push({command:ee.setFilter,args:[o,l.filter]}),t.default$10(s.minzoom,l.minzoom)&&t.default$10(s.maxzoom,l.maxzoom)||n.push({command:ee.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.\")?oe(s[u],l[u],n,o,u.slice(6),ee.setPaintProperty):t.default$10(s[u],l[u])||n.push({command:ee.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.\")?oe(s[u],l[u],n,o,u.slice(6),ee.setPaintProperty):t.default$10(s[u],l[u])||n.push({command:ee.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:ee.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:ee.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:ee.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in $e)});if(0===n.length)return!1;var i=n.filter(function(t){return!(t.command in Ze)});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.fire(new t.Event(\"data\",{dataType:\"style\"}))},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.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.addSource=function(e,r,n){var i=this;if(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 Yt(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){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 if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone(e),e=t.extend(e,{source:i})),!this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n)){var a=t.default$22(e);this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}});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){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)}}},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._updatedLayers[e],delete this._updatedPaintProps[e]}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.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){this._checkLoaded();var n=this.getLayer(e);if(n){if(!t.default$10(n.filter,r))return null==r?(n.filter=void 0,void this._updateLayer(n)):void(this._validate(t.validateStyle.filter,\"layers.\"+n.id+\".filter\",r)||(n.filter=t.clone(r),this._updateLayer(n)))}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(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?t.default$10(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n),this._updateLayer(i)):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(t,e){return this.getLayer(t).getLayoutProperty(e)},r.prototype.setPaintProperty=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.default$10(i.getPaintProperty(r),n)){var a=i._transitionablePaint._values[r].value.isDataDriven();i.setPaintProperty(r,n),(i._transitionablePaint._values[r].value.isDataDriven()||a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0}}else 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.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){var e=this;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._order.map(function(t){return e._layers[t].serialize()})},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenRenderedFeatures=function(t){for(var e=[],r=this._order.length-1;r>=0;r--)for(var n=this._order[r],i=0,a=t;i<a.length;i+=1){var o=a[i][n];if(o)for(var s=0,l=o;s<l.length;s+=1){var c=l[s];e.push(c)}}return e},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter);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 this.sourceCaches)r.layers&&!i[u]||c.push(at(this.sourceCaches[u],this._layers,e.worldCoordinate,r,n));return this.placement&&c.push(function(t,e,r,n,i){for(var a={},o=n.queryRenderedSymbols(e),s=[],l=0,c=Object.keys(o).map(Number);l<c.length;l+=1){var u=c[l];s.push(i[u])}s.sort(ot);for(var h=function(){var e=p[f],n=e.featureIndex.lookupSymbolFeatures(o[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,r.filter,r.layers,t);for(var i in n){var s=a[i]=a[i]||[],l=n[i];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-i}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];s.push(h.feature)}}},f=0,p=s;f<p.length;f+=1)h();return a}(this._layers,e.viewport,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter);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){this._checkLoaded();var r=this.light.getLight(),n=!1;for(var i in e)if(!t.default$10(e[i],r[i])){n=!0;break}if(n){var o={now:a.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return(!a||!1!==a.validate)&&Xe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.default$5},i)))},r.prototype._remove=function(){for(var e in t.evented.off(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();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(t,e,r){for(var n=!1,i=!1,o={},s=0,l=this._order;s<l.length;s+=1){var c=l[s],u=this._layers[c];if(\"symbol\"===u.type){if(!o[u.source]){var h=this.sourceCaches[u.source];o[u.source]=h.getRenderableIds().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 f=this.crossTileSymbolIndex.addLayer(u,o[u.source],t.center.lng);n=n||f}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var p=this._layerOrderChanged;if((p||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now()))&&(this.pauseablePlacement=new Ue(t,this._order,p,e,r),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,o),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(this.placement,a.now()),i=!0),n&&this.pauseablePlacement.placement.setStale()),i||n)for(var d=0,g=this._order;d<g.length;d+=1){var m=g[d],v=this._layers[m];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,o[v.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r}(t.Evented);Je.getSourceType=function(t){return nt[t]},Je.setSourceType=function(t,e){nt[t]=e},Je.registerForPluginAvailability=t.registerForPluginAvailability;var Ke=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Qe={prelude:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n\\n#if !defined(highp)\\n#define highp\\n#endif\\n\\n#endif\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n\\n#if !defined(highp)\\n#define highp\\n#endif\\n\\n#endif\\n\\n// Unpack a pair of values that have been packed into a single float.\\n// The packed values are assumed to be 8-bit unsigned integers, and are\\n// packed like so:\\n// packedValue = floor(input[0]) * 256 + input[1],\\nvec2 unpack_float(const float packedValue) {\\n    int packedIntValue = int(packedValue);\\n    int v0 = packedIntValue / 256;\\n    return vec2(v0, packedIntValue - v0 * 256);\\n}\\n\\nvec2 unpack_opacity(const float packedOpacity) {\\n    int intOpacity = int(packedOpacity) / 2;\\n    return vec2(float(intOpacity) / 127.0, mod(packedOpacity, 2.0));\\n}\\n\\n// To minimize the number of attributes needed, we encode a 4-component\\n// color into a pair of floats (i.e. a vec2) as follows:\\n// [ floor(color.r * 255) * 256 + color.g * 255,\\n//   floor(color.b * 255) * 256 + color.g * 255 ]\\nvec4 decode_color(const vec2 encodedColor) {\\n    return vec4(\\n        unpack_float(encodedColor[0]) / 255.0,\\n        unpack_float(encodedColor[1]) / 255.0\\n    );\\n}\\n\\n// Unpack a pair of paint values and interpolate between them.\\nfloat unpack_mix_vec2(const vec2 packedValue, const float t) {\\n    return mix(packedValue[0], packedValue[1], t);\\n}\\n\\n// Unpack a pair of paint values and interpolate between them.\\nvec4 unpack_mix_vec4(const vec4 packedColors, const float t) {\\n    vec4 minColor = decode_color(vec2(packedColors[0], packedColors[1]));\\n    vec4 maxColor = decode_color(vec2(packedColors[2], packedColors[3]));\\n    return mix(minColor, maxColor, t);\\n}\\n\\n// The offset depends on how many pixels are between the world origin and the edge of the tile:\\n// vec2 offset = mod(pixel_coord, size)\\n//\\n// At high zoom levels there are a ton of pixels between the world origin and the edge of the tile.\\n// The glsl spec only guarantees 16 bits of precision for highp floats. We need more than that.\\n//\\n// The pixel_coord is passed in as two 16 bit values:\\n// pixel_coord_upper = floor(pixel_coord / 2^16)\\n// pixel_coord_lower = mod(pixel_coord, 2^16)\\n//\\n// The offset is calculated in a series of steps that should preserve this precision:\\nvec2 get_pattern_pos(const vec2 pixel_coord_upper, const vec2 pixel_coord_lower,\\n    const vec2 pattern_size, const float tile_units_to_pixels, const vec2 pos) {\\n\\n    vec2 offset = mod(mod(mod(pixel_coord_upper, pattern_size) * 256.0, pattern_size) * 256.0 + pixel_coord_lower, pattern_size);\\n    return (tile_units_to_pixels * pos + offset) / pattern_size;\\n}\\n\"},background:{fragmentSource:\"uniform vec4 u_color;\\nuniform float u_opacity;\\n\\nvoid main() {\\n    gl_FragColor = u_color * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},backgroundPattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n\\n    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);\\n    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);\\n}\\n\"},circle:{fragmentSource:\"#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\\n\\nvarying vec3 v_data;\\n\\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\\n\\n    vec2 extrude = v_data.xy;\\n    float extrude_length = length(extrude);\\n\\n    lowp float antialiasblur = v_data.z;\\n    float antialiased_blur = -max(blur, antialiasblur);\\n\\n    float opacity_t = smoothstep(0.0, antialiased_blur, extrude_length - 1.0);\\n\\n    float color_t = stroke_width < 0.01 ? 0.0 : smoothstep(\\n        antialiased_blur,\\n        0.0,\\n        extrude_length - radius / (radius + stroke_width)\\n    );\\n\\n    gl_FragColor = opacity_t * mix(color * opacity, stroke_color * stroke_opacity, color_t);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform bool u_scale_with_map;\\nuniform bool u_pitch_with_map;\\nuniform vec2 u_extrude_scale;\\nuniform highp float u_camera_to_center_distance;\\n\\nattribute vec2 a_pos;\\n\\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\\n\\nvarying vec3 v_data;\\n\\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\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    vec2 extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    vec2 circle_center = floor(a_pos * 0.5);\\n    if (u_pitch_with_map) {\\n        vec2 corner_position = circle_center;\\n        if (u_scale_with_map) {\\n            corner_position += extrude * (radius + stroke_width) * u_extrude_scale;\\n        } else {\\n            // Pitching the circle with the map effectively scales it with the map\\n            // To counteract the effect for pitch-scale: viewport, we rescale the\\n            // whole circle based on the pitch scaling effect at its central point\\n            vec4 projected_center = u_matrix * vec4(circle_center, 0, 1);\\n            corner_position += extrude * (radius + stroke_width) * u_extrude_scale * (projected_center.w / u_camera_to_center_distance);\\n        }\\n\\n        gl_Position = u_matrix * vec4(corner_position, 0, 1);\\n    } else {\\n        gl_Position = u_matrix * vec4(circle_center, 0, 1);\\n\\n        if (u_scale_with_map) {\\n            gl_Position.xy += extrude * (radius + stroke_width) * u_extrude_scale * u_camera_to_center_distance;\\n        } else {\\n            gl_Position.xy += extrude * (radius + stroke_width) * u_extrude_scale * gl_Position.w;\\n        }\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    lowp float antialiasblur = 1.0 / DEVICE_PIXEL_RATIO / (radius + stroke_width);\\n\\n    v_data = vec3(extrude.x, extrude.y, antialiasblur);\\n}\\n\"},clippingMask:{fragmentSource:\"void main() {\\n    gl_FragColor = vec4(1.0);\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},heatmap:{fragmentSource:\"#pragma mapbox: define highp float weight\\n\\nuniform highp float u_intensity;\\nvarying vec2 v_extrude;\\n\\n// Gaussian kernel coefficient: 1 / sqrt(2 * PI)\\n#define GAUSS_COEF 0.3989422804014327\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp float weight\\n\\n    // Kernel density estimation with a Gaussian kernel of size 5x5\\n    float d = -0.5 * 3.0 * 3.0 * dot(v_extrude, v_extrude);\\n    float val = weight * u_intensity * GAUSS_COEF * exp(d);\\n\\n    gl_FragColor = vec4(val, 1.0, 1.0, 1.0);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\n\\nuniform mat4 u_matrix;\\nuniform float u_extrude_scale;\\nuniform float u_opacity;\\nuniform float u_intensity;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_extrude;\\n\\n// Effective \\\"0\\\" in the kernel density texture to adjust the kernel size to;\\n// this empirically chosen number minimizes artifacts on overlapping kernels\\n// for typical heatmap cases (assuming clustered source)\\nconst highp float ZERO = 1.0 / 255.0 / 16.0;\\n\\n// Gaussian kernel coefficient: 1 / sqrt(2 * PI)\\n#define GAUSS_COEF 0.3989422804014327\\n\\nvoid main(void) {\\n    #pragma mapbox: initialize highp float weight\\n    #pragma mapbox: initialize mediump float radius\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    vec2 unscaled_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    // This 'extrude' comes in ranging from [-1, -1], to [1, 1].  We'll use\\n    // it to produce the vertices of a square mesh framing the point feature\\n    // we're adding to the kernel density texture.  We'll also pass it as\\n    // a varying, so that the fragment shader can determine the distance of\\n    // each fragment from the point feature.\\n    // Before we do so, we need to scale it up sufficiently so that the\\n    // kernel falls effectively to zero at the edge of the mesh.\\n    // That is, we want to know S such that\\n    // weight * u_intensity * GAUSS_COEF * exp(-0.5 * 3.0^2 * S^2) == ZERO\\n    // Which solves to:\\n    // S = sqrt(-2.0 * log(ZERO / (weight * u_intensity * GAUSS_COEF))) / 3.0\\n    float S = sqrt(-2.0 * log(ZERO / weight / u_intensity / GAUSS_COEF)) / 3.0;\\n\\n    // Pass the varying in units of radius\\n    v_extrude = S * unscaled_extrude;\\n\\n    // Scale by radius and the zoom-based scale factor to produce actual\\n    // mesh position\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    vec4 pos = vec4(floor(a_pos * 0.5) + extrude, 0, 1);\\n\\n    gl_Position = u_matrix * pos;\\n}\\n\"},heatmapTexture:{fragmentSource:\"uniform sampler2D u_image;\\nuniform sampler2D u_color_ramp;\\nuniform float u_opacity;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    float t = texture2D(u_image, v_pos).r;\\n    vec4 color = texture2D(u_color_ramp, vec2(t, 0.5));\\n    gl_FragColor = color * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(0.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_world;\\nattribute vec2 a_pos;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos * u_world, 0, 1);\\n\\n    v_pos.x = a_pos.x;\\n    v_pos.y = 1.0 - a_pos.y;\\n}\\n\"},collisionBox:{fragmentSource:\"\\nvarying float v_placed;\\nvarying float v_notUsed;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    // Red = collision, hide label\\n    gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n\\n    // Blue = no collision, label is showing\\n    if (v_placed > 0.5) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 0.5) * alpha;\\n    }\\n\\n    if (v_notUsed > 0.5) {\\n        // This box not used, fade it out\\n        gl_FragColor *= .1;\\n    }\\n}\",vertexSource:\"attribute vec2 a_pos;\\nattribute vec2 a_anchor_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_placed;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_extrude_scale;\\nuniform float u_camera_to_center_distance;\\n\\nvarying float v_placed;\\nvarying float v_notUsed;\\n\\nvoid main() {\\n    vec4 projectedPoint = u_matrix * vec4(a_anchor_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    highp float collision_perspective_ratio = clamp(\\n        0.5 + 0.5 * (u_camera_to_center_distance / camera_to_anchor_distance),\\n        0.0, // Prevents oversized near-field boxes in pitched/overzoomed tiles\\n        4.0);\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0.0, 1.0);\\n    gl_Position.xy += a_extrude * u_extrude_scale * gl_Position.w * collision_perspective_ratio;\\n\\n    v_placed = a_placed.x;\\n    v_notUsed = a_placed.y;\\n}\\n\"},collisionCircle:{fragmentSource:\"uniform float u_overscale_factor;\\n\\nvarying float v_placed;\\nvarying float v_notUsed;\\nvarying float v_radius;\\nvarying vec2 v_extrude;\\nvarying vec2 v_extrude_scale;\\n\\nvoid main() {\\n    float alpha = 0.5;\\n\\n    // Red = collision, hide label\\n    vec4 color = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n\\n    // Blue = no collision, label is showing\\n    if (v_placed > 0.5) {\\n        color = vec4(0.0, 0.0, 1.0, 0.5) * alpha;\\n    }\\n\\n    if (v_notUsed > 0.5) {\\n        // This box not used, fade it out\\n        color *= .2;\\n    }\\n\\n    float extrude_scale_length = length(v_extrude_scale);\\n    float extrude_length = length(v_extrude) * extrude_scale_length;\\n    float stroke_width = 15.0 * extrude_scale_length / u_overscale_factor;\\n    float radius = v_radius * extrude_scale_length;\\n\\n    float distance_to_edge = abs(extrude_length - radius);\\n    float opacity_t = smoothstep(-stroke_width, 0.0, -distance_to_edge);\\n\\n    gl_FragColor = opacity_t * color;\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\nattribute vec2 a_anchor_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_placed;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_extrude_scale;\\nuniform float u_camera_to_center_distance;\\n\\nvarying float v_placed;\\nvarying float v_notUsed;\\nvarying float v_radius;\\n\\nvarying vec2 v_extrude;\\nvarying vec2 v_extrude_scale;\\n\\nvoid main() {\\n    vec4 projectedPoint = u_matrix * vec4(a_anchor_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    highp float collision_perspective_ratio = clamp(\\n        0.5 + 0.5 * (u_camera_to_center_distance / camera_to_anchor_distance),\\n        0.0, // Prevents oversized near-field circles in pitched/overzoomed tiles\\n        4.0);\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0.0, 1.0);\\n\\n    highp float padding_factor = 1.2; // Pad the vertices slightly to make room for anti-alias blur\\n    gl_Position.xy += a_extrude * u_extrude_scale * padding_factor * gl_Position.w * collision_perspective_ratio;\\n\\n    v_placed = a_placed.x;\\n    v_notUsed = a_placed.y;\\n    v_radius = abs(a_extrude.y); // We don't pitch the circles, so both units of the extrusion vector are equal in magnitude to the radius\\n\\n    v_extrude = a_extrude * padding_factor;\\n    v_extrude_scale = u_extrude_scale * u_camera_to_center_distance * collision_perspective_ratio;\\n}\\n\"},debug:{fragmentSource:\"uniform highp vec4 u_color;\\n\\nvoid main() {\\n    gl_FragColor = u_color;\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},fill:{fragmentSource:\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_FragColor = color * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},fillOutline:{fragmentSource:\"#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = 1.0 - smoothstep(0.0, 1.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},fillOutlinePattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = 1.0 - smoothstep(0.0, 1.0, dist);\\n\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_world;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n\\n    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);\\n    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);\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},fillPattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n\\n    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);\\n    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);\\n}\\n\"},fillExtrusion:{fragmentSource:\"varying vec4 v_color;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define highp vec4 color\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n    #pragma mapbox: initialize highp vec4 color\\n\\n    gl_FragColor = v_color;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec3 u_lightcolor;\\nuniform lowp vec3 u_lightpos;\\nuniform lowp float u_lightintensity;\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_normal_ed;\\n\\nvarying vec4 v_color;\\n\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n\\n#pragma mapbox: define highp vec4 color\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n    #pragma mapbox: initialize highp vec4 color\\n\\n    vec3 normal = a_normal_ed.xyz;\\n\\n    base = max(0.0, base);\\n    height = max(0.0, height);\\n\\n    float t = mod(normal.x, 2.0);\\n\\n    gl_Position = u_matrix * vec4(a_pos, t > 0.0 ? height : base, 1);\\n\\n    // Relative luminance (how dark/bright is the surface color?)\\n    float colorvalue = color.r * 0.2126 + color.g * 0.7152 + color.b * 0.0722;\\n\\n    v_color = vec4(0.0, 0.0, 0.0, 1.0);\\n\\n    // Add slight ambient lighting so no extrusions are totally black\\n    vec4 ambientlight = vec4(0.03, 0.03, 0.03, 1.0);\\n    color += ambientlight;\\n\\n    // Calculate cos(theta), where theta is the angle between surface normal and diffuse light ray\\n    float directional = clamp(dot(normal / 16384.0, u_lightpos), 0.0, 1.0);\\n\\n    // Adjust directional so that\\n    // the range of values for highlight/shading is narrower\\n    // with lower light intensity\\n    // and with lighter/brighter surface colors\\n    directional = mix((1.0 - u_lightintensity), max((1.0 - colorvalue + u_lightintensity), 1.0), directional);\\n\\n    // Add gradient along z axis of side surfaces\\n    if (normal.y != 0.0) {\\n        directional *= clamp((t + base) * pow(height / 150.0, 0.5), mix(0.7, 0.98, 1.0 - u_lightintensity), 1.0);\\n    }\\n\\n    // Assign final color based on surface + ambient light color, diffuse light directional, and light color\\n    // with lower bounds adjusted to hue of light\\n    // so that shading is tinted with the complementary (opposite) color to the light color\\n    v_color.r += clamp(color.r * directional * u_lightcolor.r, mix(0.0, 0.3, 1.0 - u_lightcolor.r), 1.0);\\n    v_color.g += clamp(color.g * directional * u_lightcolor.g, mix(0.0, 0.3, 1.0 - u_lightcolor.g), 1.0);\\n    v_color.b += clamp(color.b * directional * u_lightcolor.b, mix(0.0, 0.3, 1.0 - u_lightcolor.b), 1.0);\\n}\\n\"},fillExtrusionPattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec4 v_lighting;\\n\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    vec4 mixedColor = mix(color1, color2, u_mix);\\n\\n    gl_FragColor = mixedColor * v_lighting;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\nuniform float u_height_factor;\\n\\nuniform vec3 u_lightcolor;\\nuniform lowp vec3 u_lightpos;\\nuniform lowp float u_lightintensity;\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_normal_ed;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec4 v_lighting;\\nvarying float v_directional;\\n\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n\\n    vec3 normal = a_normal_ed.xyz;\\n    float edgedistance = a_normal_ed.w;\\n\\n    base = max(0.0, base);\\n    height = max(0.0, height);\\n\\n    float t = mod(normal.x, 2.0);\\n    float z = t > 0.0 ? height : base;\\n\\n    gl_Position = u_matrix * vec4(a_pos, z, 1);\\n\\n    vec2 pos = normal.x == 1.0 && normal.y == 0.0 && normal.z == 16384.0\\n        ? a_pos // extrusion top\\n        : vec2(edgedistance, z * u_height_factor); // extrusion side\\n\\n    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, pos);\\n    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, pos);\\n\\n    v_lighting = vec4(0.0, 0.0, 0.0, 1.0);\\n    float directional = clamp(dot(normal / 16383.0, u_lightpos), 0.0, 1.0);\\n    directional = mix((1.0 - u_lightintensity), max((0.5 + u_lightintensity), 1.0), directional);\\n\\n    if (normal.y != 0.0) {\\n        directional *= clamp((t + base) * pow(height / 150.0, 0.5), mix(0.7, 0.98, 1.0 - u_lightintensity), 1.0);\\n    }\\n\\n    v_lighting.rgb += clamp(directional * u_lightcolor, mix(vec3(0.0), vec3(0.3), 1.0 - u_lightcolor), vec3(1.0));\\n}\\n\"},extrusionTexture:{fragmentSource:\"uniform sampler2D u_image;\\nuniform float u_opacity;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_FragColor = texture2D(u_image, v_pos) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(0.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_world;\\nattribute vec2 a_pos;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos * u_world, 0, 1);\\n\\n    v_pos.x = a_pos.x;\\n    v_pos.y = 1.0 - a_pos.y;\\n}\\n\"},hillshadePrepare:{fragmentSource:\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\n\\nuniform sampler2D u_image;\\nvarying vec2 v_pos;\\nuniform vec2 u_dimension;\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nfloat getElevation(vec2 coord, float bias) {\\n    // Convert encoded elevation value to meters\\n    vec4 data = texture2D(u_image, coord) * 255.0;\\n    return (data.r + data.g * 256.0 + data.b * 256.0 * 256.0) / 4.0;\\n}\\n\\nvoid main() {\\n    vec2 epsilon = 1.0 / u_dimension;\\n\\n    // queried pixels:\\n    // +-----------+\\n    // |   |   |   |\\n    // | a | b | c |\\n    // |   |   |   |\\n    // +-----------+\\n    // |   |   |   |\\n    // | d | e | f |\\n    // |   |   |   |\\n    // +-----------+\\n    // |   |   |   |\\n    // | g | h | i |\\n    // |   |   |   |\\n    // +-----------+\\n\\n    float a = getElevation(v_pos + vec2(-epsilon.x, -epsilon.y), 0.0);\\n    float b = getElevation(v_pos + vec2(0, -epsilon.y), 0.0);\\n    float c = getElevation(v_pos + vec2(epsilon.x, -epsilon.y), 0.0);\\n    float d = getElevation(v_pos + vec2(-epsilon.x, 0), 0.0);\\n    float e = getElevation(v_pos, 0.0);\\n    float f = getElevation(v_pos + vec2(epsilon.x, 0), 0.0);\\n    float g = getElevation(v_pos + vec2(-epsilon.x, epsilon.y), 0.0);\\n    float h = getElevation(v_pos + vec2(0, epsilon.y), 0.0);\\n    float i = getElevation(v_pos + vec2(epsilon.x, epsilon.y), 0.0);\\n\\n    // here we divide the x and y slopes by 8 * pixel size\\n    // where pixel size (aka meters/pixel) is:\\n    // circumference of the world / (pixels per tile * number of tiles)\\n    // which is equivalent to: 8 * 40075016.6855785 / (512 * pow(2, u_zoom))\\n    // which can be reduced to: pow(2, 19.25619978527 - u_zoom)\\n    // we want to vertically exaggerate the hillshading though, because otherwise\\n    // it is barely noticeable at low zooms. to do this, we multiply this by some\\n    // scale factor pow(2, (u_zoom - u_maxzoom) * a) where a is an arbitrary value\\n    // Here we use a=0.3 which works out to the expression below. see \\n    // nickidlugash's awesome breakdown for more info\\n    // https://github.com/mapbox/mapbox-gl-js/pull/5286#discussion_r148419556\\n    float exaggeration = u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;\\n\\n    vec2 deriv = vec2(\\n        (c + f + f + i) - (a + d + d + g),\\n        (g + h + h + i) - (a + b + b + c)\\n    ) /  pow(2.0, (u_zoom - u_maxzoom) * exaggeration + 19.2562 - u_zoom);\\n\\n    gl_FragColor = clamp(vec4(\\n        deriv.x / 2.0 + 0.5,\\n        deriv.y / 2.0 + 0.5,\\n        1.0,\\n        1.0), 0.0, 1.0);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (a_texture_pos / 8192.0) / 2.0 + 0.25;\\n}\\n\"},hillshade:{fragmentSource:\"uniform sampler2D u_image;\\nvarying vec2 v_pos;\\n\\nuniform vec2 u_latrange;\\nuniform vec2 u_light;\\nuniform vec4 u_shadow;\\nuniform vec4 u_highlight;\\nuniform vec4 u_accent;\\n\\n#define PI 3.141592653589793\\n\\nvoid main() {\\n    vec4 pixel = texture2D(u_image, v_pos);\\n\\n    vec2 deriv = ((pixel.rg * 2.0) - 1.0);\\n\\n    // We divide the slope by a scale factor based on the cosin of the pixel's approximate latitude\\n    // to account for mercator projection distortion. see #4807 for details\\n    float scaleFactor = cos(radians((u_latrange[0] - u_latrange[1]) * (1.0 - v_pos.y) + u_latrange[1]));\\n    // We also multiply the slope by an arbitrary z-factor of 1.25\\n    float slope = atan(1.25 * length(deriv) / scaleFactor);\\n    float aspect = deriv.x != 0.0 ? atan(deriv.y, -deriv.x) : PI / 2.0 * (deriv.y > 0.0 ? 1.0 : -1.0);\\n\\n    float intensity = u_light.x;\\n    // We add PI to make this property match the global light object, which adds PI/2 to the light's azimuthal\\n    // position property to account for 0deg corresponding to north/the top of the viewport in the style spec\\n    // and the original shader was written to accept (-illuminationDirection - 90) as the azimuthal.\\n    float azimuth = u_light.y + PI;\\n\\n    // We scale the slope exponentially based on intensity, using a calculation similar to\\n    // the exponential interpolation function in the style spec:\\n    // https://github.com/mapbox/mapbox-gl-js/blob/master/src/style-spec/expression/definitions/interpolate.js#L217-L228\\n    // so that higher intensity values create more opaque hillshading.\\n    float base = 1.875 - intensity * 1.75;\\n    float maxValue = 0.5 * PI;\\n    float scaledSlope = intensity != 0.5 ? ((pow(base, slope) - 1.0) / (pow(base, maxValue) - 1.0)) * maxValue : slope;\\n\\n    // The accent color is calculated with the cosine of the slope while the shade color is calculated with the sine\\n    // so that the accent color's rate of change eases in while the shade color's eases out.\\n    float accent = cos(scaledSlope);\\n    // We multiply both the accent and shade color by a clamped intensity value\\n    // so that intensities >= 0.5 do not additionally affect the color values\\n    // while intensity values < 0.5 make the overall color more transparent.\\n    vec4 accent_color = (1.0 - accent) * u_accent * clamp(intensity * 2.0, 0.0, 1.0);\\n    float shade = abs(mod((aspect + azimuth) / PI + 0.5, 2.0) - 1.0);\\n    vec4 shade_color = mix(u_shadow, u_highlight, shade) * sin(scaledSlope) * clamp(intensity * 2.0, 0.0, 1.0);\\n    gl_FragColor = accent_color * (1.0 - shade_color.a) + shade_color;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = a_texture_pos / 8192.0;\\n}\\n\"},line:{fragmentSource:\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_width2;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    gl_FragColor = color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_gamma_scale;\\nvarying highp float v_linesofar;\\n\\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\\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\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    v_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * 2.0;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},lineGradient:{fragmentSource:\"\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_width2;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\nvarying highp float v_lineprogress;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    // For gradient lines, v_lineprogress is the ratio along the entire line,\\n    // scaled to [0, 2^15), and the gradient ramp is stored in a texture.\\n    vec4 color = texture2D(u_image, vec2(v_lineprogress, 0.5));\\n\\n    gl_FragColor = color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"\\n// the attribute conveying progress along a line is scaled to [0, 2^15)\\n#define MAX_LINE_DISTANCE 32767.0\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_gamma_scale;\\nvarying highp float v_lineprogress;\\n\\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\\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\\n\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    v_lineprogress = (floor(a_data.z / 4.0) + a_data.w * 64.0) * 2.0 / MAX_LINE_DISTANCE;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},linePattern:{fragmentSource:\"uniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_fade;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n\\n    // v_normal.y is 0 at the midpoint of the line, -1 at the lower edge, 1 at the upper edge\\n    // we clamp the line width outset to be between 0 and half the pattern height plus padding (2.0)\\n    // to ensure we don't sample outside the designated symbol on the sprite sheet.\\n    // 0.5 is added to shift the component to be bounded between 0 and 1 for interpolation of\\n    // the texture coordinate\\n    float y_a = 0.5 + (v_normal.y * clamp(v_width2.s, 0.0, (u_pattern_size_a.y + 2.0) / 2.0) / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * clamp(v_width2.s, 0.0, (u_pattern_size_b.y + 2.0) / 2.0) / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    gl_FragColor = color * alpha * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\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\\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\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_linesofar = a_linesofar;\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},lineSDF:{fragmentSource:\"\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\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\\n\\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\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma / floorwidth, 0.5 + u_sdfgamma / floorwidth, sdfdist);\\n\\n    gl_FragColor = color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\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\\n\\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\\n\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist =outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x / floorwidth, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x / floorwidth, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},raster:{fragmentSource:\"uniform float u_fade_t;\\nuniform float u_opacity;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    if (color0.a > 0.0) {\\n        color0.rgb = color0.rgb / color0.a;\\n    }\\n    if (color1.a > 0.0) {\\n        color1.rgb = color1.rgb / color1.a;\\n    }\\n    vec4 color = mix(color0, color1, u_fade_t);\\n    color.a *= u_opacity;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb) * color.a, color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    // We are using Int16 for texture position coordinates to give us enough precision for\\n    // fractional coordinates. We use 8192 to scale the texture coordinates in the buffer\\n    // as an arbitrarily high number to preserve adequate precision when rendering.\\n    // This is also the same value as the EXTENT we are using for our tile buffer pos coordinates,\\n    // so math for modifying either is consistent.\\n    v_pos0 = (((a_texture_pos / 8192.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},symbolIcon:{fragmentSource:\"uniform sampler2D u_texture;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_tex;\\nvarying float v_fade_opacity;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    lowp float alpha = opacity * v_fade_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"const float PI = 3.141592653589793;\\n\\nattribute vec4 a_pos_offset;\\nattribute vec4 a_data;\\nattribute vec3 a_projected_pos;\\nattribute float a_fade_opacity;\\n\\nuniform bool u_is_size_zoom_constant;\\nuniform bool u_is_size_feature_constant;\\nuniform highp float u_size_t; // used to interpolate between zoom stops when size is a composite function\\nuniform highp float u_size; // used when size is both zoom and feature constant\\nuniform highp float u_camera_to_center_distance;\\nuniform highp float u_pitch;\\nuniform bool u_rotate_symbol;\\nuniform highp float u_aspect_ratio;\\nuniform float u_fade_change;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nuniform mat4 u_matrix;\\nuniform mat4 u_label_plane_matrix;\\nuniform mat4 u_gl_coord_matrix;\\n\\nuniform bool u_is_text;\\nuniform bool u_pitch_with_map;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying float v_fade_opacity;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    vec2 a_pos = a_pos_offset.xy;\\n    vec2 a_offset = a_pos_offset.zw;\\n\\n    vec2 a_tex = a_data.xy;\\n    vec2 a_size = a_data.zw;\\n\\n    highp float segment_angle = -a_projected_pos[2];\\n\\n    float size;\\n    if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = mix(a_size[0], a_size[1], u_size_t) / 10.0;\\n    } else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = a_size[0] / 10.0;\\n    } else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {\\n        size = u_size;\\n    } else {\\n        size = u_size;\\n    }\\n\\n    vec4 projectedPoint = u_matrix * vec4(a_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    // See comments in symbol_sdf.vertex\\n    highp float distance_ratio = u_pitch_with_map ?\\n        camera_to_anchor_distance / u_camera_to_center_distance :\\n        u_camera_to_center_distance / camera_to_anchor_distance;\\n    highp float perspective_ratio = clamp(\\n            0.5 + 0.5 * distance_ratio,\\n            0.0, // Prevents oversized near-field symbols in pitched/overzoomed tiles\\n            4.0);\\n\\n    size *= perspective_ratio;\\n\\n    float fontScale = u_is_text ? size / 24.0 : size;\\n\\n    highp float symbol_rotation = 0.0;\\n    if (u_rotate_symbol) {\\n        // See comments in symbol_sdf.vertex\\n        vec4 offsetProjectedPoint = u_matrix * vec4(a_pos + vec2(1, 0), 0, 1);\\n\\n        vec2 a = projectedPoint.xy / projectedPoint.w;\\n        vec2 b = offsetProjectedPoint.xy / offsetProjectedPoint.w;\\n\\n        symbol_rotation = atan((b.y - a.y) / u_aspect_ratio, b.x - a.x);\\n    }\\n\\n    highp float angle_sin = sin(segment_angle + symbol_rotation);\\n    highp float angle_cos = cos(segment_angle + symbol_rotation);\\n    mat2 rotation_matrix = mat2(angle_cos, -1.0 * angle_sin, angle_sin, angle_cos);\\n\\n    vec4 projected_pos = u_label_plane_matrix * vec4(a_projected_pos.xy, 0.0, 1.0);\\n    gl_Position = u_gl_coord_matrix * vec4(projected_pos.xy / projected_pos.w + rotation_matrix * (a_offset / 32.0 * fontScale), 0.0, 1.0);\\n\\n    v_tex = a_tex / u_texsize;\\n    vec2 fade_opacity = unpack_opacity(a_fade_opacity);\\n    float fade_change = fade_opacity[1] > 0.5 ? u_fade_change : -u_fade_change;\\n    v_fade_opacity = max(0.0, min(1.0, fade_opacity[0] + fade_change));\\n}\\n\"},symbolSDF:{fragmentSource:\"#define SDF_PX 8.0\\n#define EDGE_GAMMA 0.105/DEVICE_PIXEL_RATIO\\n\\nuniform bool u_is_halo;\\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\\n\\nuniform sampler2D u_texture;\\nuniform highp float u_gamma_scale;\\nuniform bool u_is_text;\\n\\nvarying vec2 v_data0;\\nvarying vec3 v_data1;\\n\\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\\n\\n    vec2 tex = v_data0.xy;\\n    float gamma_scale = v_data1.x;\\n    float size = v_data1.y;\\n    float fade_opacity = v_data1[2];\\n\\n    float fontScale = u_is_text ? size / 24.0 : size;\\n\\n    lowp vec4 color = fill_color;\\n    highp float gamma = EDGE_GAMMA / (fontScale * u_gamma_scale);\\n    lowp float buff = (256.0 - 64.0) / 256.0;\\n    if (u_is_halo) {\\n        color = halo_color;\\n        gamma = (halo_blur * 1.19 / SDF_PX + EDGE_GAMMA) / (fontScale * u_gamma_scale);\\n        buff = (6.0 - halo_width / fontScale) / SDF_PX;\\n    }\\n\\n    lowp float dist = texture2D(u_texture, tex).a;\\n    highp float gamma_scaled = gamma * gamma_scale;\\n    highp float alpha = smoothstep(buff - gamma_scaled, buff + gamma_scaled, dist);\\n\\n    gl_FragColor = color * (alpha * opacity * fade_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"const float PI = 3.141592653589793;\\n\\nattribute vec4 a_pos_offset;\\nattribute vec4 a_data;\\nattribute vec3 a_projected_pos;\\nattribute float a_fade_opacity;\\n\\n// contents of a_size vary based on the type of property value\\n// used for {text,icon}-size.\\n// For constants, a_size is disabled.\\n// For source functions, we bind only one value per vertex: the value of {text,icon}-size evaluated for the current feature.\\n// For composite functions:\\n// [ text-size(lowerZoomStop, feature),\\n//   text-size(upperZoomStop, feature) ]\\nuniform bool u_is_size_zoom_constant;\\nuniform bool u_is_size_feature_constant;\\nuniform highp float u_size_t; // used to interpolate between zoom stops when size is a composite function\\nuniform highp float u_size; // used when size is both zoom and feature constant\\n\\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\\n\\nuniform mat4 u_matrix;\\nuniform mat4 u_label_plane_matrix;\\nuniform mat4 u_gl_coord_matrix;\\n\\nuniform bool u_is_text;\\nuniform bool u_pitch_with_map;\\nuniform highp float u_pitch;\\nuniform bool u_rotate_symbol;\\nuniform highp float u_aspect_ratio;\\nuniform highp float u_camera_to_center_distance;\\nuniform float u_fade_change;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_data0;\\nvarying vec3 v_data1;\\n\\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\\n\\n    vec2 a_pos = a_pos_offset.xy;\\n    vec2 a_offset = a_pos_offset.zw;\\n\\n    vec2 a_tex = a_data.xy;\\n    vec2 a_size = a_data.zw;\\n\\n    highp float segment_angle = -a_projected_pos[2];\\n    float size;\\n\\n    if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = mix(a_size[0], a_size[1], u_size_t) / 10.0;\\n    } else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = a_size[0] / 10.0;\\n    } else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {\\n        size = u_size;\\n    } else {\\n        size = u_size;\\n    }\\n\\n    vec4 projectedPoint = u_matrix * vec4(a_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    // If the label is pitched with the map, layout is done in pitched space,\\n    // which makes labels in the distance smaller relative to viewport space.\\n    // We counteract part of that effect by multiplying by the perspective ratio.\\n    // If the label isn't pitched with the map, we do layout in viewport space,\\n    // which makes labels in the distance larger relative to the features around\\n    // them. We counteract part of that effect by dividing by the perspective ratio.\\n    highp float distance_ratio = u_pitch_with_map ?\\n        camera_to_anchor_distance / u_camera_to_center_distance :\\n        u_camera_to_center_distance / camera_to_anchor_distance;\\n    highp float perspective_ratio = clamp(\\n        0.5 + 0.5 * distance_ratio,\\n        0.0, // Prevents oversized near-field symbols in pitched/overzoomed tiles\\n        4.0);\\n\\n    size *= perspective_ratio;\\n\\n    float fontScale = u_is_text ? size / 24.0 : size;\\n\\n    highp float symbol_rotation = 0.0;\\n    if (u_rotate_symbol) {\\n        // Point labels with 'rotation-alignment: map' are horizontal with respect to tile units\\n        // To figure out that angle in projected space, we draw a short horizontal line in tile\\n        // space, project it, and measure its angle in projected space.\\n        vec4 offsetProjectedPoint = u_matrix * vec4(a_pos + vec2(1, 0), 0, 1);\\n\\n        vec2 a = projectedPoint.xy / projectedPoint.w;\\n        vec2 b = offsetProjectedPoint.xy / offsetProjectedPoint.w;\\n\\n        symbol_rotation = atan((b.y - a.y) / u_aspect_ratio, b.x - a.x);\\n    }\\n\\n    highp float angle_sin = sin(segment_angle + symbol_rotation);\\n    highp float angle_cos = cos(segment_angle + symbol_rotation);\\n    mat2 rotation_matrix = mat2(angle_cos, -1.0 * angle_sin, angle_sin, angle_cos);\\n\\n    vec4 projected_pos = u_label_plane_matrix * vec4(a_projected_pos.xy, 0.0, 1.0);\\n    gl_Position = u_gl_coord_matrix * vec4(projected_pos.xy / projected_pos.w + rotation_matrix * (a_offset / 32.0 * fontScale), 0.0, 1.0);\\n    float gamma_scale = gl_Position.w;\\n\\n    vec2 tex = a_tex / u_texsize;\\n    vec2 fade_opacity = unpack_opacity(a_fade_opacity);\\n    float fade_change = fade_opacity[1] > 0.5 ? u_fade_change : -u_fade_change;\\n    float interpolated_fade_opacity = max(0.0, min(1.0, fade_opacity[0] + fade_change));\\n\\n    v_data0 = vec2(tex.x, tex.y);\\n    v_data1 = vec3(gamma_scale, size, interpolated_fade_opacity);\\n}\\n\"}},tr=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,er=function(t){var e=Qe[t],r={};e.fragmentSource=e.fragmentSource.replace(tr,function(t,e,n,i,a){return r[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+n+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+n+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}),e.vertexSource=e.vertexSource.replace(tr,function(t,e,n,i,a){var o=\"float\"===i?\"vec2\":\"vec4\";return r[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float a_\"+a+\"_t;\\nattribute \"+n+\" \"+o+\" a_\"+a+\";\\nvarying \"+n+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+n+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+o+\"(a_\"+a+\", a_\"+a+\"_t);\\n#else\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float a_\"+a+\"_t;\\nattribute \"+n+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+n+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+n+\" \"+i+\" \"+a+\" = unpack_mix_\"+o+\"(a_\"+a+\", a_\"+a+\"_t);\\n#else\\n    \"+n+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})};for(var rr in Qe)er(rr);var nr=Qe,ir=function(t,e,r,n){var i=t.gl;this.program=i.createProgram();var o=r.defines().concat(\"#define DEVICE_PIXEL_RATIO \"+a.devicePixelRatio.toFixed(1));n&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(nr.prelude.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(nr.prelude.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={},this.uniforms={};for(var p=0;p<this.numAttributes;p++){var d=i.getActiveAttrib(this.program,p);d&&(this.attributes[d.name]=i.getAttribLocation(this.program,d.name))}for(var g=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<g;m++){var v=i.getActiveUniform(this.program,m);v&&(this.uniforms[v.name]=i.getUniformLocation(this.program,v.name))}};function ar(e,r,n,i,a){for(var o=0;o<n.length;o++){var s=n[o];if(i.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)ar(e,l[c],n.slice(o),i,a);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));a[h.key]=a[h.key]||h}function or(t,e,r,n,i){var a=t.context,o=a.gl,s=i?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\");a.setDepthMode(qt.disabled),a.setStencilMode(Ht.disabled),a.setColorMode(t.colorModeForRenderPass());for(var l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=i?h.collisionCircle:h.collisionBox;if(f){o.uniformMatrix4fv(s.uniforms.u_matrix,!1,c.posMatrix),i||a.lineWidth.set(1),o.uniform1f(s.uniforms.u_camera_to_center_distance,t.transform.cameraToCenterDistance);var p=Te(u,1,t.transform.zoom),d=Math.pow(2,t.transform.zoom-u.tileID.overscaledZ);o.uniform1f(s.uniforms.u_pixels_to_tile_units,p),o.uniform2f(s.uniforms.u_extrude_scale,t.transform.pixelsToGLUnits[0]/(p*d),t.transform.pixelsToGLUnits[1]/(p*d)),o.uniform1f(s.uniforms.u_overscale_factor,u.tileID.overscaleFactor()),s.draw(a,i?o.TRIANGLES:o.LINES,r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,f.collisionVertexBuffer,null)}}}}ir.prototype.draw=function(t,e,r,n,i,a,o,s,l){for(var c,u=t.gl,h=(c={},c[u.LINES]=2,c[u.TRIANGLES]=3,c)[e],f=0,p=a.get();f<p.length;f+=1){var d=p[f],g=d.vaos||(d.vaos={});(g[r]||(g[r]=new Q)).bind(t,this,n,o?o.getPaintVertexBuffers():[],i,d.vertexOffset,s,l),u.drawElements(e,d.primitiveLength*h,u.UNSIGNED_SHORT,d.primitiveOffset*h*2)}};var sr=t.mat4.identity(new Float32Array(16)),lr=t.default$19.layout;function cr(t,e,r,n,i,a,o,s,l,c){var u,h=t.context,f=h.gl,p=t.transform,d=\"map\"===s,g=\"map\"===l,m=d&&\"line\"===r.layout.get(\"symbol-placement\"),v=d&&!g&&!m,y=g;h.setDepthMode(y?t.depthModeForSublayer(0,qt.ReadOnly):qt.disabled);for(var x=0,b=n;x<b.length;x+=1){var _=b[x],w=e.getTile(_),k=w.getBucket(r);if(k){var M=i?k.text:k.icon;if(M&&M.segments.get().length){var A=M.programConfigurations.get(r.id),T=i||k.sdfIcons,S=i?k.textSizeData:k.iconSizeData;if(u||(u=t.useProgram(T?\"symbolSDF\":\"symbolIcon\",A),A.setUniforms(t.context,u,r.paint,{zoom:t.transform.zoom}),ur(u,t,r,i,v,g,S)),h.activeTexture.set(f.TEXTURE0),f.uniform1i(u.uniforms.u_texture,0),i)w.glyphAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),f.uniform2fv(u.uniforms.u_texsize,w.glyphAtlasTexture.size);else{var E=1!==r.layout.get(\"icon-size\").constantOr(0)||k.iconsNeedLinear,C=g||0!==p.pitch;w.iconAtlasTexture.bind(T||t.options.rotating||t.options.zooming||E||C?f.LINEAR:f.NEAREST,f.CLAMP_TO_EDGE),f.uniform2fv(u.uniforms.u_texsize,w.iconAtlasTexture.size)}f.uniformMatrix4fv(u.uniforms.u_matrix,!1,t.translatePosMatrix(_.posMatrix,w,a,o));var L=Te(w,1,t.transform.zoom),z=he(_.posMatrix,g,d,t.transform,L),P=fe(_.posMatrix,g,d,t.transform,L);f.uniformMatrix4fv(u.uniforms.u_gl_coord_matrix,!1,t.translatePosMatrix(P,w,a,o,!0)),m?(f.uniformMatrix4fv(u.uniforms.u_label_plane_matrix,!1,sr),ge(k,_.posMatrix,t,i,z,P,g,c)):f.uniformMatrix4fv(u.uniforms.u_label_plane_matrix,!1,z),f.uniform1f(u.uniforms.u_fade_change,t.options.fadeDuration?t.symbolFadeChange:1),hr(u,A,t,r,w,M,i,T,g)}}}}function ur(e,r,n,i,a,o,s){var l=r.context.gl,c=r.transform;l.uniform1i(e.uniforms.u_pitch_with_map,o?1:0),l.uniform1f(e.uniforms.u_is_text,i?1:0),l.uniform1f(e.uniforms.u_pitch,c.pitch/360*2*Math.PI);var u=\"constant\"===s.functionType||\"source\"===s.functionType,h=\"constant\"===s.functionType||\"camera\"===s.functionType;l.uniform1i(e.uniforms.u_is_size_zoom_constant,u?1:0),l.uniform1i(e.uniforms.u_is_size_feature_constant,h?1:0),l.uniform1f(e.uniforms.u_camera_to_center_distance,c.cameraToCenterDistance);var f=t.evaluateSizeForZoom(s,c.zoom,lr.properties[i?\"text-size\":\"icon-size\"]);void 0!==f.uSizeT&&l.uniform1f(e.uniforms.u_size_t,f.uSizeT),void 0!==f.uSize&&l.uniform1f(e.uniforms.u_size,f.uSize),l.uniform1f(e.uniforms.u_aspect_ratio,c.width/c.height),l.uniform1i(e.uniforms.u_rotate_symbol,a?1:0)}function hr(t,e,r,n,i,a,o,s,l){var c=r.context,u=c.gl,h=r.transform;if(s){var f=0!==n.paint.get(o?\"text-halo-width\":\"icon-halo-width\").constantOr(1),p=l?Math.cos(h._pitch)*h.cameraToCenterDistance:1;u.uniform1f(t.uniforms.u_gamma_scale,p),f&&(u.uniform1f(t.uniforms.u_is_halo,1),fr(a,n,c,t)),u.uniform1f(t.uniforms.u_is_halo,0)}fr(a,n,c,t)}function fr(t,e,r,n){n.draw(r,r.gl.TRIANGLES,e.id,t.layoutVertexBuffer,t.indexBuffer,t.segments,t.programConfigurations.get(e.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function pr(t,e,r,n,i,o,s,l,c){var u,h,f,p,d=e.context,g=d.gl,m=i.paint.get(\"line-dasharray\"),v=i.paint.get(\"line-pattern\");if(l||c){var y=1/Te(r,1,e.transform.tileZoom);if(m){u=e.lineAtlas.getDash(m.from,\"round\"===i.layout.get(\"line-cap\")),h=e.lineAtlas.getDash(m.to,\"round\"===i.layout.get(\"line-cap\"));var x=u.width*m.fromScale,b=h.width*m.toScale;g.uniform2f(t.uniforms.u_patternscale_a,y/x,-u.height/2),g.uniform2f(t.uniforms.u_patternscale_b,y/b,-h.height/2),g.uniform1f(t.uniforms.u_sdfgamma,e.lineAtlas.width/(256*Math.min(x,b)*a.devicePixelRatio)/2)}else if(v){if(f=e.imageManager.getPattern(v.from),p=e.imageManager.getPattern(v.to),!f||!p)return;g.uniform2f(t.uniforms.u_pattern_size_a,f.displaySize[0]*v.fromScale/y,f.displaySize[1]),g.uniform2f(t.uniforms.u_pattern_size_b,p.displaySize[0]*v.toScale/y,p.displaySize[1]);var _=e.imageManager.getPixelSize(),w=_.width,k=_.height;g.uniform2fv(t.uniforms.u_texsize,[w,k])}g.uniform2f(t.uniforms.u_gl_units_to_pixels,1/e.transform.pixelsToGLUnits[0],1/e.transform.pixelsToGLUnits[1])}l&&(m?(g.uniform1i(t.uniforms.u_image,0),d.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(d),g.uniform1f(t.uniforms.u_tex_y_a,u.y),g.uniform1f(t.uniforms.u_tex_y_b,h.y),g.uniform1f(t.uniforms.u_mix,m.t)):v&&(g.uniform1i(t.uniforms.u_image,0),d.activeTexture.set(g.TEXTURE0),e.imageManager.bind(d),g.uniform2fv(t.uniforms.u_pattern_tl_a,f.tl),g.uniform2fv(t.uniforms.u_pattern_br_a,f.br),g.uniform2fv(t.uniforms.u_pattern_tl_b,p.tl),g.uniform2fv(t.uniforms.u_pattern_br_b,p.br),g.uniform1f(t.uniforms.u_fade,v.t))),d.setStencilMode(e.stencilModeForClipping(o));var M=e.translatePosMatrix(o.posMatrix,r,i.paint.get(\"line-translate\"),i.paint.get(\"line-translate-anchor\"));if(g.uniformMatrix4fv(t.uniforms.u_matrix,!1,M),g.uniform1f(t.uniforms.u_ratio,1/Te(r,1,e.transform.zoom)),i.paint.get(\"line-gradient\")){d.activeTexture.set(g.TEXTURE0);var A=i.gradientTexture;if(!i.gradient)return;A||(A=i.gradientTexture=new z(d,i.gradient,g.RGBA)),A.bind(g.LINEAR,g.CLAMP_TO_EDGE),g.uniform1i(t.uniforms.u_image,0)}t.draw(d,g.TRIANGLES,i.id,n.layoutVertexBuffer,n.indexBuffer,n.segments,s)}var dr=function(t,e){if(!t)return!1;var r=e.imageManager.getPattern(t.from),n=e.imageManager.getPattern(t.to);return!r||!n},gr=function(t,e,r){var n=e.context,i=n.gl,a=e.imageManager.getPattern(t.from),o=e.imageManager.getPattern(t.to);i.uniform1i(r.uniforms.u_image,0),i.uniform2fv(r.uniforms.u_pattern_tl_a,a.tl),i.uniform2fv(r.uniforms.u_pattern_br_a,a.br),i.uniform2fv(r.uniforms.u_pattern_tl_b,o.tl),i.uniform2fv(r.uniforms.u_pattern_br_b,o.br);var s=e.imageManager.getPixelSize(),l=s.width,c=s.height;i.uniform2fv(r.uniforms.u_texsize,[l,c]),i.uniform1f(r.uniforms.u_mix,t.t),i.uniform2fv(r.uniforms.u_pattern_size_a,a.displaySize),i.uniform2fv(r.uniforms.u_pattern_size_b,o.displaySize),i.uniform1f(r.uniforms.u_scale_a,t.fromScale),i.uniform1f(r.uniforms.u_scale_b,t.toScale),n.activeTexture.set(i.TEXTURE0),e.imageManager.bind(e.context)},mr=function(t,e,r){var n=e.context.gl;n.uniform1f(r.uniforms.u_tile_units_to_pixels,1/Te(t,1,e.transform.tileZoom));var i=Math.pow(2,t.tileID.overscaledZ),a=t.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(t.tileID.canonical.x+t.tileID.wrap*i),s=a*t.tileID.canonical.y;n.uniform2f(r.uniforms.u_pixel_coord_upper,o>>16,s>>16),n.uniform2f(r.uniforms.u_pixel_coord_lower,65535&o,65535&s)};function vr(t,e,r,n,i){if(!dr(r.paint.get(\"fill-pattern\"),t))for(var a=!0,o=0,s=n;o<s.length;o+=1){var l=s[o],c=e.getTile(l),u=c.getBucket(r);u&&(t.context.setStencilMode(t.stencilModeForClipping(l)),i(t,e,r,c,l,u,a),a=!1)}}function yr(t,e,r,n,i,a,o){var s=t.context.gl,l=a.programConfigurations.get(r.id);br(\"fill\",r.paint.get(\"fill-pattern\"),t,l,r,n,i,o).draw(t.context,s.TRIANGLES,r.id,a.layoutVertexBuffer,a.indexBuffer,a.segments,l)}function xr(t,e,r,n,i,a,o){var s=t.context.gl,l=a.programConfigurations.get(r.id),c=br(\"fillOutline\",r.getPaintProperty(\"fill-outline-color\")?null:r.paint.get(\"fill-pattern\"),t,l,r,n,i,o);s.uniform2f(c.uniforms.u_world,s.drawingBufferWidth,s.drawingBufferHeight),c.draw(t.context,s.LINES,r.id,a.layoutVertexBuffer,a.indexBuffer2,a.segments2,l)}function br(t,e,r,n,i,a,o,s){var l,c=r.context.program.get();return e?(l=r.useProgram(t+\"Pattern\",n),(s||l.program!==c)&&(n.setUniforms(r.context,l,i.paint,{zoom:r.transform.zoom}),gr(e,r,l)),mr(a,r,l)):(l=r.useProgram(t,n),(s||l.program!==c)&&n.setUniforms(r.context,l,i.paint,{zoom:r.transform.zoom})),r.context.gl.uniformMatrix4fv(l.uniforms.u_matrix,!1,r.translatePosMatrix(o.posMatrix,a,i.paint.get(\"fill-translate\"),i.paint.get(\"fill-translate-anchor\"))),l}var _r=t.default$20.mat3,wr=t.default$20.mat4,kr=t.default$20.vec3;function Mr(t,e,r,n,i,a,o){var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=t.context.program.get(),h=a.programConfigurations.get(r.id),f=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",h);if((o||f.program!==u)&&h.setUniforms(s,f,r.paint,{zoom:t.transform.zoom}),c){if(dr(c,t))return;gr(c,t,f),mr(n,t,f),l.uniform1f(f.uniforms.u_height_factor,-Math.pow(2,i.overscaledZ)/n.tileSize/8)}t.context.gl.uniformMatrix4fv(f.uniforms.u_matrix,!1,t.translatePosMatrix(i.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\"))),function(t,e){var r=e.context.gl,n=e.style.light,i=n.properties.get(\"position\"),a=[i.x,i.y,i.z],o=_r.create();\"viewport\"===n.properties.get(\"anchor\")&&_r.fromRotation(o,-e.transform.angle),kr.transformMat3(a,a,o);var s=n.properties.get(\"color\");r.uniform3fv(t.uniforms.u_lightpos,a),r.uniform1f(t.uniforms.u_lightintensity,n.properties.get(\"intensity\")),r.uniform3f(t.uniforms.u_lightcolor,s.r,s.g,s.b)}(f,t),f.draw(s,l.TRIANGLES,r.id,a.layoutVertexBuffer,a.indexBuffer,a.segments,h)}function Ar(e,r,n){var i=e.context,a=i.gl,o=r.fbo;if(o){var s=e.useProgram(\"hillshade\"),l=e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),!0);!function(t,e,r){var n=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(n-=e.transform.angle),e.context.gl.uniform2f(t.uniforms.u_light,r.paint.get(\"hillshade-exaggeration\"),n)}(s,e,n);var c=function(e,r){var n=r.toCoordinate(),i=new t.default$17(n.column,n.row+1,n.zoom);return[e.transform.coordinateLocation(n).lat,e.transform.coordinateLocation(i).lat]}(e,r.tileID);i.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,o.colorAttachment.get()),a.uniformMatrix4fv(s.uniforms.u_matrix,!1,l),a.uniform2fv(s.uniforms.u_latrange,c),a.uniform1i(s.uniforms.u_image,0);var u=n.paint.get(\"hillshade-shadow-color\");a.uniform4f(s.uniforms.u_shadow,u.r,u.g,u.b,u.a);var h=n.paint.get(\"hillshade-highlight-color\");a.uniform4f(s.uniforms.u_highlight,h.r,h.g,h.b,h.a);var f=n.paint.get(\"hillshade-accent-color\");if(a.uniform4f(s.uniforms.u_accent,f.r,f.g,f.b,f.a),r.maskedBoundsBuffer&&r.maskedIndexBuffer&&r.segments)s.draw(i,a.TRIANGLES,n.id,r.maskedBoundsBuffer,r.maskedIndexBuffer,r.segments);else{var p=e.rasterBoundsBuffer;e.rasterBoundsVAO.bind(i,s,p,[]),a.drawArrays(a.TRIANGLE_STRIP,0,p.length)}}}function Tr(e,r,n){var i=e.context,a=i.gl;if(r.dem&&r.dem.level){var o=r.dem.level.dim,s=r.dem.getPixels();if(i.activeTexture.set(a.TEXTURE1),i.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(r.tileSize),r.demTexture){var l=r.demTexture;l.update(s,{premultiply:!1}),l.bind(a.NEAREST,a.CLAMP_TO_EDGE)}else r.demTexture=new z(i,s,a.RGBA,{premultiply:!1}),r.demTexture.bind(a.NEAREST,a.CLAMP_TO_EDGE);i.activeTexture.set(a.TEXTURE0);var c=r.fbo;if(!c){var u=new z(i,{width:o,height:o,data:null},a.RGBA);u.bind(a.LINEAR,a.CLAMP_TO_EDGE),(c=r.fbo=i.createFramebuffer(o,o)).colorAttachment.set(u.texture)}i.bindFramebuffer.set(c.framebuffer),i.viewport.set([0,0,o,o]);var h=t.mat4.create();t.mat4.ortho(h,0,t.default$8,-t.default$8,0,0,1),t.mat4.translate(h,h,[0,-t.default$8,0]);var f=e.useProgram(\"hillshadePrepare\");a.uniformMatrix4fv(f.uniforms.u_matrix,!1,h),a.uniform1f(f.uniforms.u_zoom,r.tileID.overscaledZ),a.uniform2fv(f.uniforms.u_dimension,[2*o,2*o]),a.uniform1i(f.uniforms.u_image,1),a.uniform1f(f.uniforms.u_maxzoom,n);var p=e.rasterBoundsBuffer;e.rasterBoundsVAO.bind(i,f,p,[]),a.drawArrays(a.TRIANGLE_STRIP,0,p.length),r.needsHillshadePrepare=!1}}function Sr(e,r,n,i,o){var s=i.paint.get(\"raster-fade-duration\");if(s>0){var l=a.now(),c=(l-e.timeAdded)/s,u=r?(l-r.timeAdded)/s:-1,h=n.getSource(),f=o.coveringZoomLevel({tileSize:h.tileSize,roundZoom:h.roundZoom}),p=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),d=p&&e.refreshedUponExpiration?1:t.clamp(p?c:1-u,0,1);return e.refreshedUponExpiration&&c>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-d}:{opacity:d,mix:0}}return{opacity:1,mix:0}}function Er(e,r,n){var i=e.context,o=i.gl;i.lineWidth.set(1*a.devicePixelRatio);var 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s=t.context,l=s.gl;s.setDepthMode(t.depthModeForSublayer(0,qt.ReadOnly)),s.setStencilMode(Ht.disabled),s.setColorMode(t.colorModeForRenderPass());for(var c=!0,u=0;u<n.length;u++){var h=n[u],f=e.getTile(h),p=f.getBucket(r);if(p){var d=t.context.program.get(),g=p.programConfigurations.get(r.id),m=t.useProgram(\"circle\",g);if((c||m.program!==d)&&(g.setUniforms(s,m,r.paint,{zoom:t.transform.zoom}),c=!1),l.uniform1f(m.uniforms.u_camera_to_center_distance,t.transform.cameraToCenterDistance),l.uniform1i(m.uniforms.u_scale_with_map,\"map\"===r.paint.get(\"circle-pitch-scale\")?1:0),\"map\"===r.paint.get(\"circle-pitch-alignment\")){l.uniform1i(m.uniforms.u_pitch_with_map,1);var v=Te(f,1,t.transform.zoom);l.uniform2f(m.uniforms.u_extrude_scale,v,v)}else l.uniform1i(m.uniforms.u_pitch_with_map,0),l.uniform2fv(m.uniforms.u_extrude_scale,t.transform.pixelsToGLUnits);l.uniformMatrix4fv(m.uniforms.u_matrix,!1,t.translatePosMatrix(h.posMatrix,f,r.paint.get(\"circle-translate\"),r.paint.get(\"circle-translate-anchor\"))),m.draw(s,l.TRIANGLES,r.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,g)}}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl;a.setDepthMode(e.depthModeForSublayer(0,qt.ReadOnly)),a.setStencilMode(Ht.disabled),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),function t(e,r,n,i){var a=e.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,r.width/4,r.height/4,0,a.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),i.colorAttachment.set(n),e.extTextureHalfFloat&&a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,i.colorAttachment.setDirty(),t(e,r,n,i))}(t,e,a,i)}}(a,e,n),a.clear({color:t.default$6.transparent}),a.setColorMode(new Gt([o.ONE,o.ONE],t.default$6.transparent,[!0,!0,!0,!0]));for(var s=!0,l=0;l<i.length;l++){var c=i[l];if(!r.hasRenderableParent(c)){var u=r.getTile(c),h=u.getBucket(n);if(h){var f=e.context.program.get(),p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;(s||d.program!==f)&&(p.setUniforms(e.context,d,n.paint,{zoom:g}),s=!1),o.uniform1f(d.uniforms.u_extrude_scale,Te(u,1,g)),o.uniform1f(d.uniforms.u_intensity,n.paint.get(\"heatmap-intensity\")),o.uniformMatrix4fv(d.uniforms.u_matrix,!1,c.posMatrix),d.draw(a,o.TRIANGLES,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,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 z(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),n.setDepthMode(qt.disabled);var s=e.useProgram(\"heatmapTexture\"),l=r.paint.get(\"heatmap-opacity\");i.uniform1f(s.uniforms.u_opacity,l),i.uniform1i(s.uniforms.u_image,0),i.uniform1i(s.uniforms.u_color_ramp,1);var c=t.mat4.create();t.mat4.ortho(c,0,e.width,e.height,0,0,1),i.uniformMatrix4fv(s.uniforms.u_matrix,!1,c),i.uniform2f(s.uniforms.u_world,i.drawingBufferWidth,i.drawingBufferHeight),e.viewportVAO.bind(e.context,s,e.viewportBuffer,[]),i.drawArrays(i.TRIANGLE_STRIP,0,4)}}(e,n))},line:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"line-opacity\").constantOr(1)){var i=t.context;i.setDepthMode(t.depthModeForSublayer(0,qt.ReadOnly)),i.setColorMode(t.colorModeForRenderPass());for(var a,o=r.paint.get(\"line-dasharray\")?\"lineSDF\":r.paint.get(\"line-pattern\")?\"linePattern\":r.paint.get(\"line-gradient\")?\"lineGradient\":\"line\",s=!0,l=0,c=n;l<c.length;l+=1){var u=c[l],h=e.getTile(u),f=h.getBucket(r);if(f){var p=f.programConfigurations.get(r.id),d=t.context.program.get(),g=t.useProgram(o,p),m=s||g.program!==d,v=a!==h.tileID.overscaledZ;m&&p.setUniforms(t.context,g,r.paint,{zoom:t.transform.zoom}),pr(g,t,h,f,r,u,p,m,v),a=h.tileID.overscaledZ,s=!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.context;s.setColorMode(e.colorModeForRenderPass());var l=n.paint.get(\"fill-pattern\")||1!==a.constantOr(t.default$6.transparent).a||1!==o.constantOr(0)?\"translucent\":\"opaque\";e.renderPass===l&&(s.setDepthMode(e.depthModeForSublayer(1,\"opaque\"===e.renderPass?qt.ReadWrite:qt.ReadOnly)),vr(e,r,n,i,yr)),\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")&&(s.lineWidth.set(2),s.setDepthMode(e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qt.ReadOnly)),vr(e,r,n,i,xr))}},\"fill-extrusion\":function(e,r,n,i){if(0!==n.paint.get(\"fill-extrusion-opacity\"))if(\"offscreen\"===e.renderPass){!function(e,r){var n=e.context,i=n.gl,a=r.viewportFrame;if(e.depthRboNeedsClear&&e.setupOffscreenDepthRenderbuffer(),!a){var o=new z(n,{width:e.width,height:e.height,data:null},i.RGBA);o.bind(i.LINEAR,i.CLAMP_TO_EDGE),(a=r.viewportFrame=n.createFramebuffer(e.width,e.height)).colorAttachment.set(o.texture)}n.bindFramebuffer.set(a.framebuffer),a.depthAttachment.set(e.depthRbo),e.depthRboNeedsClear&&(n.clear({depth:1}),e.depthRboNeedsClear=!1),n.clear({color:t.default$6.transparent}),n.setStencilMode(Ht.disabled),n.setDepthMode(new qt(i.LEQUAL,qt.ReadWrite,[0,1])),n.setColorMode(e.colorModeForRenderPass())}(e,n);for(var a=!0,o=0,s=i;o<s.length;o+=1){var l=s[o],c=r.getTile(l),u=c.getBucket(n);u&&(Mr(e,0,n,c,l,u,a),a=!1)}}else\"translucent\"===e.renderPass&&function(t,e){var r=e.viewportFrame;if(r){var n=t.context,i=n.gl,a=t.useProgram(\"extrusionTexture\");n.setStencilMode(Ht.disabled),n.setDepthMode(qt.disabled),n.setColorMode(t.colorModeForRenderPass()),n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.colorAttachment.get()),i.uniform1f(a.uniforms.u_opacity,e.paint.get(\"fill-extrusion-opacity\")),i.uniform1i(a.uniforms.u_image,0);var o=wr.create();wr.ortho(o,0,t.width,t.height,0,0,1),i.uniformMatrix4fv(a.uniforms.u_matrix,!1,o),i.uniform2f(a.uniforms.u_world,i.drawingBufferWidth,i.drawingBufferHeight),t.viewportVAO.bind(n,a,t.viewportBuffer,[]),i.drawArrays(i.TRIANGLE_STRIP,0,4)}}(e,n)},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){var i=t.context,a=e.getSource().maxzoom;i.setDepthMode(t.depthModeForSublayer(0,qt.ReadOnly)),i.setStencilMode(Ht.disabled),i.setColorMode(t.colorModeForRenderPass());for(var o=0,s=n;o<s.length;o+=1){var l=s[o],c=e.getTile(l);c.needsHillshadePrepare&&\"offscreen\"===t.renderPass?Tr(t,c,a):\"translucent\"===t.renderPass&&Ar(t,c,r)}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\")){var i,a,o=t.context,s=o.gl,l=e.getSource(),c=t.useProgram(\"raster\");o.setStencilMode(Ht.disabled),o.setColorMode(t.colorModeForRenderPass()),s.uniform1f(c.uniforms.u_brightness_low,r.paint.get(\"raster-brightness-min\")),s.uniform1f(c.uniforms.u_brightness_high,r.paint.get(\"raster-brightness-max\")),s.uniform1f(c.uniforms.u_saturation_factor,(i=r.paint.get(\"raster-saturation\"))>0?1-1/(1.001-i):-i),s.uniform1f(c.uniforms.u_contrast_factor,(a=r.paint.get(\"raster-contrast\"))>0?1/(1-a):1+a),s.uniform3fv(c.uniforms.u_spin_weights,function(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]}(r.paint.get(\"raster-hue-rotate\"))),s.uniform1f(c.uniforms.u_buffer_scale,1),s.uniform1i(c.uniforms.u_image0,0),s.uniform1i(c.uniforms.u_image1,1);for(var u=n.length&&n[0].overscaledZ,h=0,f=n;h<f.length;h+=1){var p=f[h];o.setDepthMode(t.depthModeForSublayer(p.overscaledZ-u,1===r.paint.get(\"raster-opacity\")?qt.ReadWrite:qt.ReadOnly,s.LESS));var d=e.getTile(p),g=t.transform.calculatePosMatrix(p.toUnwrapped(),!0);d.registerFadeDuration(r.paint.get(\"raster-fade-duration\")),s.uniformMatrix4fv(c.uniforms.u_matrix,!1,g);var m=e.findLoadedParent(p,0,{}),v=Sr(d,m,e,r,t.transform),y=void 0,x=void 0;if(o.activeTexture.set(s.TEXTURE0),d.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.activeTexture.set(s.TEXTURE1),m?(m.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,m.tileID.overscaledZ-d.tileID.overscaledZ),x=[d.tileID.canonical.x*y%1,d.tileID.canonical.y*y%1]):d.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),s.uniform2fv(c.uniforms.u_tl_parent,x||[0,0]),s.uniform1f(c.uniforms.u_scale_parent,y||1),s.uniform1f(c.uniforms.u_fade_t,v.mix),s.uniform1f(c.uniforms.u_opacity,v.opacity*r.paint.get(\"raster-opacity\")),l instanceof tt){var b=l.boundsBuffer;l.boundsVAO.bind(o,c,b,[]),s.drawArrays(s.TRIANGLE_STRIP,0,b.length)}else if(d.maskedBoundsBuffer&&d.maskedIndexBuffer&&d.segments)c.draw(o,s.TRIANGLES,r.id,d.maskedBoundsBuffer,d.maskedIndexBuffer,d.segments);else{var _=t.rasterBoundsBuffer;t.rasterBoundsVAO.bind(o,c,_,[]),s.drawArrays(s.TRIANGLE_STRIP,0,_.length)}}}},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\"),u=c||1!==n.a||1!==i?\"translucent\":\"opaque\";if(t.renderPass===u){var h;if(a.setStencilMode(Ht.disabled),a.setDepthMode(t.depthModeForSublayer(0,\"opaque\"===u?qt.ReadWrite:qt.ReadOnly)),a.setColorMode(t.colorModeForRenderPass()),c){if(dr(c,t))return;h=t.useProgram(\"backgroundPattern\"),gr(c,t,h),t.tileExtentPatternVAO.bind(a,h,t.tileExtentBuffer,[])}else h=t.useProgram(\"background\"),o.uniform4fv(h.uniforms.u_color,[n.r,n.g,n.b,n.a]),t.tileExtentVAO.bind(a,h,t.tileExtentBuffer,[]);o.uniform1f(h.uniforms.u_opacity,i);for(var f=0,p=s.coveringTiles({tileSize:l});f<p.length;f+=1){var d=p[f];c&&mr({tileID:d,tileSize:l},t,h),o.uniformMatrix4fv(h.uniforms.u_matrix,!1,t.transform.calculatePosMatrix(d.toUnwrapped())),o.drawArrays(o.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)Er(t,e,r[n])}},zr=function(e,r){this.context=new Wt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Yt.maxUnderzooming+Yt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.default$24,this.crossTileSymbolIndex=new Ye};function Pr(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function Ir(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=a;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(d),Math.ceil(p),f)}}function Or(t,e,r,n,i,a){var o,s=Pr(t,e),l=Pr(e,r),c=Pr(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&Ir(c,s,n,i,a),l.dy&&Ir(c,l,n,i,a)}zr.prototype.resize=function(t,e){var r=this.context.gl;if(this.width=t*a.devicePixelRatio,this.height=e*a.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var o=i[n];this.style._layers[o].resize()}this.depthRbo&&(r.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},zr.prototype.setup=function(){var e=this.context,r=new t.PosArray;r.emplaceBack(0,0),r.emplaceBack(t.default$8,0),r.emplaceBack(0,t.default$8),r.emplaceBack(t.default$8,t.default$8),this.tileExtentBuffer=e.createVertexBuffer(r,Ke.members),this.tileExtentVAO=new Q,this.tileExtentPatternVAO=new Q;var n=new t.PosArray;n.emplaceBack(0,0),n.emplaceBack(t.default$8,0),n.emplaceBack(t.default$8,t.default$8),n.emplaceBack(0,t.default$8),n.emplaceBack(0,0),this.debugBuffer=e.createVertexBuffer(n,Ke.members),this.debugVAO=new Q;var i=new t.RasterBoundsArray;i.emplaceBack(0,0,0,0),i.emplaceBack(t.default$8,0,t.default$8,0),i.emplaceBack(0,t.default$8,0,t.default$8),i.emplaceBack(t.default$8,t.default$8,t.default$8,t.default$8),this.rasterBoundsBuffer=e.createVertexBuffer(i,K.members),this.rasterBoundsVAO=new Q;var a=new t.PosArray;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ke.members),this.viewportVAO=new Q},zr.prototype.clearStencil=function(){var e=this.context,r=e.gl;e.setColorMode(Gt.disabled),e.setDepthMode(qt.disabled),e.setStencilMode(new Ht({func:r.ALWAYS,mask:0},0,255,r.ZERO,r.ZERO,r.ZERO));var n=t.mat4.create();t.mat4.ortho(n,0,this.width,this.height,0,0,1),t.mat4.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]);var i=this.useProgram(\"clippingMask\");r.uniformMatrix4fv(i.uniforms.u_matrix,!1,n),this.viewportVAO.bind(e,i,this.viewportBuffer,[]),r.drawArrays(r.TRIANGLE_STRIP,0,4)},zr.prototype._renderTileClippingMasks=function(t){var e=this.context,r=e.gl;e.setColorMode(Gt.disabled),e.setDepthMode(qt.disabled);var n=1;this._tileClippingMaskIDs={};for(var i=0,a=t;i<a.length;i+=1){var o=a[i],s=this._tileClippingMaskIDs[o.key]=n++;e.setStencilMode(new Ht({func:r.ALWAYS,mask:0},s,255,r.KEEP,r.KEEP,r.REPLACE));var l=this.useProgram(\"clippingMask\");r.uniformMatrix4fv(l.uniforms.u_matrix,!1,o.posMatrix),this.tileExtentVAO.bind(this.context,l,this.tileExtentBuffer,[]),r.drawArrays(r.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}},zr.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Ht({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},zr.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new Gt([e.CONSTANT_COLOR,e.ONE],new t.default$6(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?Gt.unblended:Gt.alphaBlended},zr.prototype.depthModeForSublayer=function(t,e,r){var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,i=n-1+this.depthRange;return new qt(r||this.context.gl.LEQUAL,e,[i,n])},zr.prototype.render=function(e,r){var n=this;for(var i in this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(a.now()),e.sourceCaches){var o=n.style.sourceCaches[i];o.used&&o.prepare(n.context)}var s=this.style._order,l=t.filterObject(this.style.sourceCaches,function(t){return\"raster\"===t.getSource().type||\"raster-dem\"===t.getSource().type}),c=function(e){var r=l[e];!function(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),i=0;i<n.length;i++){var a={},o=n[i],s=n.slice(i+1);ar(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),a),o.setMask(a,r)}}(r.getVisibleCoordinates().map(function(t){return r.getTile(t)}),n.context)};for(var u in l)c(u);this.renderPass=\"offscreen\";var h,f=[];this.depthRboNeedsClear=!0;for(var p=0;p<s.length;p++){var d=n.style._layers[s[p]];d.hasOffscreenPass()&&!d.isHidden(n.transform.zoom)&&(d.source!==(h&&h.id)&&(f=[],(h=n.style.sourceCaches[d.source])&&(f=h.getVisibleCoordinates()).reverse()),f.length&&n.renderLayer(n,h,d,f))}this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.default$6.black:t.default$6.transparent,depth:1}),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRange=(e._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass=\"opaque\";var g,m=[];for(this.currentLayer=s.length-1,this.currentLayer;this.currentLayer>=0;this.currentLayer--){var v=n.style._layers[s[n.currentLayer]];v.source!==(g&&g.id)&&(m=[],(g=n.style.sourceCaches[v.source])&&(n.clearStencil(),m=g.getVisibleCoordinates(),g.getSource().isTileClipped&&n._renderTileClippingMasks(m))),n.renderLayer(n,g,v,m)}this.renderPass=\"translucent\";var y,x=[];for(this.currentLayer=0,this.currentLayer;this.currentLayer<s.length;this.currentLayer++){var b=n.style._layers[s[n.currentLayer]];b.source!==(y&&y.id)&&(x=[],(y=n.style.sourceCaches[b.source])&&(n.clearStencil(),x=y.getVisibleCoordinates(),y.getSource().isTileClipped&&n._renderTileClippingMasks(x)),x.reverse()),n.renderLayer(n,y,b,x)}if(this.options.showTileBoundaries){var _=this.style.sourceCaches[Object.keys(this.style.sourceCaches)[0]];_&&Lr.debug(this,_,_.getVisibleCoordinates())}},zr.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},zr.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,Lr[r.type](t,e,r,n))},zr.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]:Te(r,n[0],this.transform.zoom),a?n[1]:Te(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.mat4.translate(u,e,c),u},zr.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},zr.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},zr.prototype._createProgramCached=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new ir(this.context,nr[t],e,this._showOverdrawInspector)),this.cache[r]},zr.prototype.useProgram=function(t,e){var r=this._createProgramCached(t,e||this.emptyProgramConfiguration);return this.context.program.set(r.program),r};var Dr=t.default$20.vec4,Rr=t.default$20.mat4,Br=t.default$20.mat2,Fr=function(t,e,r){this.tileSize=512,this._renderWorldCopies=void 0===r||r,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new G(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._posMatrixCache={},this._alignedPosMatrixCache={}},Nr={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},x:{configurable:!0},y:{configurable:!0},point:{configurable:!0}};Fr.prototype.clone=function(){var t=new Fr(this._minZoom,this._maxZoom,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._calcMatrices(),t},Nr.minZoom.get=function(){return this._minZoom},Nr.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Nr.maxZoom.get=function(){return this._maxZoom},Nr.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Nr.renderWorldCopies.get=function(){return this._renderWorldCopies},Nr.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Nr.worldSize.get=function(){return this.tileSize*this.scale},Nr.centerPoint.get=function(){return this.size._div(2)},Nr.size.get=function(){return new t.default$1(this.width,this.height)},Nr.bearing.get=function(){return-this.angle/Math.PI*180},Nr.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=Br.create(),Br.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Nr.pitch.get=function(){return this._pitch/Math.PI*180},Nr.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Nr.fov.get=function(){return this._fov/Math.PI*180},Nr.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())},Nr.zoom.get=function(){return this._zoom},Nr.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())},Nr.center.get=function(){return this._center},Nr.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Fr.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},Fr.prototype.getVisibleUnwrappedCoordinates=function(e){var r=this.pointCoordinate(new t.default$1(0,0),0),n=this.pointCoordinate(new t.default$1(this.width,0),0),i=Math.floor(r.column),a=Math.floor(n.column),o=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var s=i;s<=a;s++)0!==s&&o.push(new t.UnwrappedTileID(s,e));return o},Fr.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=this.pointCoordinate(this.centerPoint,r),a=new t.default$1(i.column-.5,i.row-.5);return function(e,r,n,i){void 0===i&&(i=!0);var a=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=a)for(c=r;c<s;c++)u=Math.floor(c/a),h=(c%a+a)%a,0!==u&&!0!==i||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}return Or(r[0],r[1],r[2],0,a,s),Or(r[2],r[3],r[0],0,a,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.default$1(0,0),r),this.pointCoordinate(new t.default$1(this.width,0),r),this.pointCoordinate(new t.default$1(this.width,this.height),r),this.pointCoordinate(new t.default$1(0,this.height),r)],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return a.dist(t.canonical)-a.dist(e.canonical)})},Fr.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Nr.unmodified.get=function(){return this._unmodified},Fr.prototype.zoomScale=function(t){return Math.pow(2,t)},Fr.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Fr.prototype.project=function(e){return new t.default$1(this.lngX(e.lng),this.latY(e.lat))},Fr.prototype.unproject=function(t){return new G(this.xLng(t.x),this.yLat(t.y))},Nr.x.get=function(){return this.lngX(this.center.lng)},Nr.y.get=function(){return this.latY(this.center.lat)},Nr.point.get=function(){return new t.default$1(this.x,this.y)},Fr.prototype.lngX=function(t){return(180+t)*this.worldSize/360},Fr.prototype.latY=function(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*this.worldSize/360},Fr.prototype.xLng=function(t){return 360*t/this.worldSize-180},Fr.prototype.yLat=function(t){var e=180-360*t/this.worldSize;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90},Fr.prototype.setLocationAtPoint=function(t,e){var r=this.pointCoordinate(e)._sub(this.pointCoordinate(this.centerPoint));this.center=this.coordinateLocation(this.locationCoordinate(t)._sub(r)),this._renderWorldCopies&&(this.center=this.center.wrap())},Fr.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Fr.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Fr.prototype.locationCoordinate=function(e){return new t.default$17(this.lngX(e.lng)/this.tileSize,this.latY(e.lat)/this.tileSize,this.zoom).zoomTo(this.tileZoom)},Fr.prototype.coordinateLocation=function(t){var e=t.zoomTo(this.zoom);return new G(this.xLng(e.column*this.tileSize),this.yLat(e.row*this.tileSize))},Fr.prototype.pointCoordinate=function(e,r){void 0===r&&(r=this.tileZoom);var n=[e.x,e.y,0,1],i=[e.x,e.y,1,1];Dr.transformMat4(n,n,this.pixelMatrixInverse),Dr.transformMat4(i,i,this.pixelMatrixInverse);var a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new t.default$17(t.number(s,l,p)/this.tileSize,t.number(c,u,p)/this.tileSize,this.zoom)._zoomTo(r)},Fr.prototype.coordinatePoint=function(e){var r=e.zoomTo(this.zoom),n=[r.column*this.tileSize,r.row*this.tileSize,0,1];return Dr.transformMat4(n,n,this.pixelMatrix),new t.default$1(n[0]/n[3],n[1]/n[3])},Fr.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=Rr.identity(new Float64Array(16));return Rr.translate(l,l,[s*o,a.y*o,0]),Rr.scale(l,l,[o/t.default$8,o/t.default$8,1]),Rr.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Fr.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=this.latY(h[1]),e=(o=this.latY(h[0]))-a<c.y?c.y/(o-a):0}if(this.lngRange){var f=this.lngRange;s=this.lngX(f[0]),r=(l=this.lngX(f[1]))-s<c.x?c.x/(l-s):0}var p=Math.max(r||0,e||0);if(p)return this.center=this.unproject(new t.default$1(r?(l+s)/2:this.x,e?(o+a)/2:this.y)),this.zoom+=this.scaleZoom(p),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var d=this.y,g=c.y/2;d-g<a&&(i=a+g),d+g>o&&(i=o-g)}if(this.lngRange){var m=this.x,v=c.x/2;m-v<s&&(n=s+v),m+v>l&&(n=l-v)}void 0===n&&void 0===i||(this.center=this.unproject(new t.default$1(void 0!==n?n:this.x,void 0!==i?i:this.y))),this._unmodified=u,this._constraining=!1}},Fr.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var t=this._fov/2,e=Math.PI/2+this._pitch,r=Math.sin(t)*this.cameraToCenterDistance/Math.sin(Math.PI-e-t),n=this.x,i=this.y,a=1.01*(Math.cos(Math.PI/2-this._pitch)*r+this.cameraToCenterDistance),o=new Float64Array(16);Rr.perspective(o,this._fov,this.width/this.height,1,a),Rr.scale(o,o,[1,-1,1]),Rr.translate(o,o,[0,0,-this.cameraToCenterDistance]),Rr.rotateX(o,o,this._pitch),Rr.rotateZ(o,o,this.angle),Rr.translate(o,o,[-n,-i,0]);var s=this.worldSize/(2*Math.PI*6378137*Math.abs(Math.cos(this.center.lat*(Math.PI/180))));Rr.scale(o,o,[1,1,s,1]),this.projMatrix=o;var l=this.width%2/2,c=this.height%2/2,u=Math.cos(this.angle),h=Math.sin(this.angle),f=n-Math.round(n)+u*l+h*c,p=i-Math.round(i)+u*c+h*l,d=new Float64Array(o);if(Rr.translate(d,d,[f>.5?f-1:f,p>.5?p-1:p,0]),this.alignedProjMatrix=d,o=Rr.create(),Rr.scale(o,o,[this.width/2,-this.height/2,1]),Rr.translate(o,o,[1,-1,0]),this.pixelMatrix=Rr.multiply(new Float64Array(16),o,this.projMatrix),!(o=Rr.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=o,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Fr.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.default$1(0,0)).zoomTo(this.zoom),r=[e.column*this.tileSize,e.row*this.tileSize,0,1];return Dr.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Object.defineProperties(Fr.prototype,Nr);var jr=function(){var e,r,n,i;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=0,i=function(){n=0,r&&(e(),n=setTimeout(i,300),r=!1)},function(){return r=!0,n||i(),n})};jr.prototype.addTo=function(e){return this._map=e,t.default.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},jr.prototype.remove=function(){return t.default.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},jr.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+a+\"/\"+o+\"/\"+r:\"#\"+r+\"/\"+o+\"/\"+a,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},jr.prototype._onHashChange=function(){var e=t.default.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},jr.prototype._updateHashUnthrottled=function(){var e=this.getHashString();t.default.history.replaceState(t.default.history.state,\"\",e)};var Vr=function(e){function r(r,n,i,a){void 0===a&&(a={});var o=s.mousePos(n.getCanvasContainer(),i),l=n.unproject(o);e.call(this,r,t.extend({point:o,lngLat:l,originalEvent:i},a)),this._defaultPrevented=!1,this.target=n}e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r;var n={defaultPrevented:{configurable:!0}};return r.prototype.preventDefault=function(){this._defaultPrevented=!0},n.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(r.prototype,n),r}(t.Event),Ur=function(e){function r(r,n,i){var a=s.touchPos(n.getCanvasContainer(),i),o=a.map(function(t){return n.unproject(t)}),l=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.default$1(0,0)),c=n.unproject(l);e.call(this,r,{points:a,point:l,lngLats:o,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r;var n={defaultPrevented:{configurable:!0}};return r.prototype.preventDefault=function(){this._defaultPrevented=!0},n.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(r.prototype,n),r}(t.Event),qr=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Hr=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};Hr.prototype.isEnabled=function(){return!!this._enabled},Hr.prototype.isActive=function(){return!!this._active},Hr.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},Hr.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hr.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.default.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=a.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.isActive()||this._start(e)),e.preventDefault()}},Hr.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t)},Hr.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e})),this._finishTimeout&&clearTimeout(this._finishTimeout);var r=s.mousePos(this._el,e);this._around=G.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(r)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame))}},Hr.prototype._onScrollFrame=function(){var e=this;if(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?1/450:.01,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var o=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(o*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var s=!1;if(\"wheel\"===this._type){var l=Math.min((a.now()-this._lastWheelEventTime)/200,1),c=this._easing(l);r.zoom=t.number(this._startZoom,this._targetZoom,c),l<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):s=!0}else r.zoom=this._targetZoom,s=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),s&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},Hr.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(a.now()-n.start)/n.duration,o=n.easing(i+.01)-n.easing(i),s=.27/Math.sqrt(o*o+1e-4)*.01,l=Math.sqrt(.0729-s*s);r=t.bezier(s,l,.25,1)}return this._prevEase={start:a.now(),duration:e,easing:r},r};var Gr=function(e){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this)};Gr.prototype.isEnabled=function(){return!!this._enabled},Gr.prototype.isActive=function(){return!!this._active},Gr.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Gr.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Gr.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.default.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.default.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.default.document.addEventListener(\"mouseup\",this._onMouseUp,!1),s.disableDrag(),this._startPos=s.mousePos(this._el,e),this._active=!0)},Gr.prototype._onMouseMove=function(t){var e=this._startPos,r=s.mousePos(this._el,t);this._box||(this._box=s.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),i=Math.max(e.x,r.x),a=Math.min(e.y,r.y),o=Math.max(e.y,r.y);s.setTransform(this._box,\"translate(\"+n+\"px,\"+a+\"px)\"),this._box.style.width=i-n+\"px\",this._box.style.height=o-a+\"px\"},Gr.prototype._onMouseUp=function(e){if(0===e.button){var r=this._startPos,n=s.mousePos(this._el,e),i=(new W).extend(this._map.unproject(r)).extend(this._map.unproject(n));this._finish(),s.suppressClick(),r.x===n.x&&r.y===n.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitBounds(i,{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e,boxZoomBounds:i}))}},Gr.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},Gr.prototype._finish=function(){this._active=!1,t.default.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.default.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.default.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(s.remove(this._box),this._box=null),s.enableDrag()},Gr.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wr=t.bezier(0,0,.25,1),Yr=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=r.button||\"right\",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this)};Yr.prototype.isEnabled=function(){return\"disabled\"!==this._state},Yr.prototype.isActive=function(){return\"active\"===this._state},Yr.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\")},Yr.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},Yr.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){if(\"right\"===this._button){if(this._eventButton=s.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==s.mouseButton(e))return;this._eventButton=0}s.disableDrag(),t.default.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.default.document.addEventListener(\"mouseup\",this._onMouseUp),t.default.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[a.now(),this._map.getBearing()]],this._previousPos=s.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},Yr.prototype._onMouseMove=function(t){this._lastMoveEvent=t,this._pos=s.mousePos(this._el,t),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame))},Yr.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform,r=this._previousPos,n=this._pos,i=.8*(r.x-n.x),o=-.5*(r.y-n.y),s=e.bearing-i,l=e.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([a.now(),this._map._normalizeBearing(s,u[1])]),e.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",t),e.pitch=l),this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),delete this._lastMoveEvent,this._previousPos=this._pos}},Yr.prototype._onMouseUp=function(t){if(s.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",s.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},Yr.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},Yr.prototype._unbind=function(){t.default.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.default.document.removeEventListener(\"mouseup\",this._onMouseUp),t.default.removeEventListener(\"blur\",this._onBlur),s.enableDrag()},Yr.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._previousPos},Yr.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),i=this._inertia,a=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t)};if(i.length<2)a();else{var o=i[0],s=i[i.length-1],l=i[i.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:Wr,noMoveStart:!0},{originalEvent:t})}else a()}},Yr.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Yr.prototype._drainInertiaBuffer=function(){for(var t=this._inertia,e=a.now();t.length>0&&e-t[0][0]>160;)t.shift()};var Xr=t.bezier(0,0,.3,1),Zr=function(e){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this)};Zr.prototype.isEnabled=function(){return\"disabled\"!==this._state},Zr.prototype.isActive=function(){return\"active\"===this._state},Zr.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\")},Zr.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},Zr.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==s.mouseButton(e)||(s.addEventListener(t.default.document,\"mousemove\",this._onMove,{capture:!0}),s.addEventListener(t.default.document,\"mouseup\",this._onMouseUp),this._start(e)))},Zr.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(s.addEventListener(t.default.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),s.addEventListener(t.default.document,\"touchend\",this._onTouchEnd),this._start(e)))},Zr.prototype._start=function(e){t.default.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._previousPos=s.mousePos(this._el,e),this._inertia=[[a.now(),this._previousPos]]},Zr.prototype._onMove=function(t){this._lastMoveEvent=t,t.preventDefault(),this._pos=s.mousePos(this._el,t),this._drainInertiaBuffer(),this._inertia.push([a.now(),this._pos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame))},Zr.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._previousPos),this._pos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._previousPos=this._pos,delete this._lastMoveEvent}},Zr.prototype._onMouseUp=function(t){if(0===s.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",s.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},Zr.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},Zr.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},Zr.prototype._unbind=function(){s.removeEventListener(t.default.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),s.removeEventListener(t.default.document,\"touchend\",this._onTouchEnd),s.removeEventListener(t.default.document,\"mousemove\",this._onMove,{capture:!0}),s.removeEventListener(t.default.document,\"mouseup\",this._onMouseUp),s.removeEventListener(t.default,\"blur\",this._onBlur)},Zr.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._previousPos,delete this._pos},Zr.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var r=e[e.length-1],n=e[0],i=r[1].sub(n[1]),a=(r[0]-n[0])/1e3;if(0===a||r[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var o=i.mult(.3/a),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:Xr,noMoveStart:!0},{originalEvent:t})}}},Zr.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Zr.prototype._drainInertiaBuffer=function(){for(var t=this._inertia,e=a.now();t.length>0&&e-t[0][0]>160;)t.shift()};var $r=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this)};function Jr(t){return t*(2-t)}$r.prototype.isEnabled=function(){return!!this._enabled},$r.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},$r.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},$r.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(a=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:Jr,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-i,100*-a],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var Kr=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this)};Kr.prototype.isEnabled=function(){return!!this._enabled},Kr.prototype.isActive=function(){return!!this._active},Kr.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Kr.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Kr.prototype.onTouchStart=function(t){var e=this;this.isEnabled()&&(t.points.length>1||(this._tapped?(clearTimeout(this._tapped),this._tapped=null,this._zoom(t)):this._tapped=setTimeout(function(){e._tapped=null},300)))},Kr.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},Kr.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},Kr.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd)};var Qr=t.bezier(0,0,.15,1),tn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this)};tn.prototype.isEnabled=function(){return!!this._enabled},tn.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)},tn.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1)},tn.prototype.disableRotation=function(){this._rotationDisabled=!0},tn.prototype.enableRotation=function(){this._rotationDisabled=!1},tn.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var r=s.mousePos(this._el,e.touches[0]),n=s.mousePos(this._el,e.touches[1]);this._startVec=r.sub(n),this._gestureIntent=void 0,this._inertia=[],s.addEventListener(t.default.document,\"touchmove\",this._onMove,{passive:!1}),s.addEventListener(t.default.document,\"touchend\",this._onEnd)}},tn.prototype._getTouchEventData=function(t){var e=s.mousePos(this._el,t.touches[0]),r=s.mousePos(this._el,t.touches[1]),n=e.sub(r);return{vec:n,center:e.add(r).div(2),scale:n.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*n.angleWith(this._startVec)/Math.PI}},tn.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,i=r.scale,a=r.bearing;if(!this._gestureIntent){var o=Math.abs(1-i)>.15;Math.abs(a)>10?this._gestureIntent=\"rotate\":o&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},tn.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),i=n.center,o=n.bearing,s=n.scale,l=r.pointLocation(i),c=r.locationPoint(l);\"rotate\"===e&&(r.bearing=this._startBearing+o),r.zoom=r.scaleZoom(this._startScale*s),r.setLocationAtPoint(l,c),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([a.now(),s,i])}},tn.prototype._onEnd=function(e){s.removeEventListener(t.default.document,\"touchmove\",this._onMove,{passive:!1}),s.removeEventListener(t.default.document,\"touchend\",this._onEnd);var r=this._gestureIntent,n=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,r){this._map.fire(new t.Event(r+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,a=this._map;if(i.length<2)a.snapToNorth({},{originalEvent:e});else{var o=i[i.length-1],l=i[0],c=a.transform.scaleZoom(n*o[1]),u=a.transform.scaleZoom(n*l[1]),h=c-u,f=(o[0]-l[0])/1e3,p=o[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),m=c+d*g/2e3;m<0&&(m=0),a.easeTo({zoom:m,duration:g,easing:Qr,around:this._aroundCenter?a.getCenter():a.unproject(p),noMoveStart:!0},{originalEvent:e})}else a.snapToNorth({},{originalEvent:e})}}},tn.prototype._drainInertiaBuffer=function(){for(var t=this._inertia,e=a.now();t.length>2&&e-t[0][0]>160;)t.shift()};var en={scrollZoom:Hr,boxZoom:Gr,dragRotate:Yr,dragPan:Zr,keyboard:$r,doubleClickZoom:Kr,touchZoomRotate:tn},rn=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return this.transform.center},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.default$1.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.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.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.fitBounds=function(e,r,n){if(\"number\"==typeof(r=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},r)).padding){var i=r.padding;r.padding={top:i,bottom:i,right:i,left:i}}if(!t.default$10(Object.keys(r.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"]))return t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\"),this;e=W.convert(e);var a=[(r.padding.left-r.padding.right)/2,(r.padding.top-r.padding.bottom)/2],o=Math.min(r.padding.right,r.padding.left),s=Math.min(r.padding.top,r.padding.bottom);r.offset=[r.offset[0]+a[0],r.offset[1]+a[1]];var l=t.default$1.convert(r.offset),c=this.transform,u=c.project(e.getNorthWest()),h=c.project(e.getSouthEast()),f=h.sub(u),p=(c.width-2*o-2*Math.abs(l.x))/f.x,d=(c.height-2*s-2*Math.abs(l.y))/f.y;return d<0||p<0?(t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\"),this):(r.center=c.unproject(u.add(h).div(2)),r.zoom=Math.min(c.scaleZoom(c.scale*Math.min(p,d)),r.maxZoom),r.bearing=0,r.linear?this.easeTo(r,n):this.flyTo(r,n))},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=G.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),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=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=i.centerPoint.add(t.default$1.convert(e.offset)),f=i.pointLocation(h),p=G.convert(e.center||f);this._normalizeCenter(p);var d,g,m=i.project(f),v=i.project(p).sub(m),y=i.zoomScale(l-a);return e.around&&(d=G.convert(e.around),g=i.locationPoint(d)),this._zooming=l!==a,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(i.zoom=t.number(a,l,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,u,e)),d)i.setLocationAtPoint(d,g);else{var f=i.zoomScale(i.zoom-a),p=l>a?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=i.unproject(m.add(v.mult(e*x)).mult(f));i.setLocationAtPoint(i.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._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){var r=this._zooming,n=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event(\"zoomend\",e)),n&&this.fire(new t.Event(\"rotateend\",e)),i&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))},r.prototype.flyTo=function(e,r){var n=this;this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=i.zoomScale(l-a),f=i.centerPoint.add(t.default$1.convert(e.offset)),p=i.pointLocation(f),d=G.convert(e.center||p);this._normalizeCenter(d);var g=i.project(p),m=i.project(d).sub(g),v=e.curve,y=Math.max(i.width,i.height),x=y/h,b=m.mag();if(\"minZoom\"in e){var _=t.clamp(Math.min(e.minZoom,a,l),i.minZoom,i.maxZoom),w=y/i.zoomScale(_-a);v=Math.sqrt(w/b*2)}var k=v*v;function M(t){var e=(x*x-y*y+(t?-1:1)*k*k*b*b)/(2*(t?x:y)*k*b);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function T(t){return(Math.exp(t)+Math.exp(-t))/2}var S=M(0),E=function(t){return T(S)/T(S+v*t)},C=function(t){return y*((T(S)*(A(e=S+v*t)/T(e))-A(S))/k)/b;var e},L=(M(1)-S)/v;if(Math.abs(b)<1e-6||!isFinite(L)){if(Math.abs(y-x)<1e-6)return this.easeTo(e,r);var z=x<y?-1:1;L=Math.abs(Math.log(x/y))/v,C=function(){return 0},E=function(t){return Math.exp(z*v*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var P=\"screenSpeed\"in e?+e.screenSpeed/v:+e.speed;e.duration=1e3*L/P}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,!1),this._ease(function(e){var l=e*L,h=1/E(l);i.zoom=a+i.scaleZoom(h),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,u,e));var p=i.unproject(g.add(m.mult(C(l))).mult(h));i.setLocationAtPoint(i.renderWorldCopies?p.wrap():p,f),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}return this},r.prototype._ease=function(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<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),nn=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};nn.prototype.getDefaultPosition=function(){return\"bottom-right\"},nn.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),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},nn.prototype.onRemove=function(){s.remove(this._container),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0},nn.prototype._updateEditLink=function(){var t=this._editLink;t||(t=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var e=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:m.ACCESS_TOKEN}];if(t){var r=e.reduce(function(t,r,n){return r.value&&(t+=r.key+\"=\"+r.value+(n<e.length-1?\"&\":\"\")),t},\"?\");t.href=\"https://www.mapbox.com/feedback/\"+r+(this._map._hash?this._map._hash.getHashString(!0):\"\")}},nn.prototype._updateData=function(t){t&&\"metadata\"===t.sourceDataType&&(this._updateAttributions(),this._updateEditLink())},nn.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(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].getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}t.sort(function(t,e){return t.length-e.length}),(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})).length?(this._container.innerHTML=t.join(\" | \"),this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null}},nn.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var an=function(){t.bindAll([\"_updateLogo\"],this)};an.prototype.onAdd=function(t){this._map=t,this._container=s.create(\"div\",\"mapboxgl-ctrl\");var e=s.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",\"Mapbox logo\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._container},an.prototype.onRemove=function(){s.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo)},an.prototype.getDefaultPosition=function(){return\"bottom-left\"},an.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},an.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}};var on=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};on.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},on.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)}},on.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},on.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var sn=t.default.HTMLImageElement,ln=t.default.HTMLElement,cn={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,transformRequest:null,fadeDuration:300},un=function(r){function n(e){if(null!=(e=t.extend({},cn,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var n=new Fr(e.minZoom,e.maxZoom,e.renderWorldCopies);r.call(this,n,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new on;var i=e.transformRequest;if(this._transformRequest=i?function(t,e){return i(t,e)||{url:t}}:function(t){return{url:t}},\"string\"==typeof e.container){var a=t.default.document.getElementById(e.container);if(!a)throw new Error(\"Container '\"+e.container+\"' not found.\");this._container=a}else{if(!(e.container instanceof ln))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\",\"_update\",\"_render\",\"_onData\",\"_onDataLoading\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),void 0!==t.default&&(t.default.addEventListener(\"online\",this._onWindowOnline,!1),t.default.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var r=t.getCanvasContainer(),n=null,i=!1;for(var a in en)t[a]=new en[a](t,e),e.interactive&&e[a]&&t[a].enable(e[a]);s.addEventListener(r,\"mouseout\",function(e){t.fire(new Vr(\"mouseout\",t,e))}),s.addEventListener(r,\"mousedown\",function(r){i=!0;var n=new Vr(\"mousedown\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(r),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(r),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(r))}),s.addEventListener(r,\"mouseup\",function(e){var r=t.dragRotate.isActive();n&&!r&&t.fire(new Vr(\"contextmenu\",t,n)),n=null,i=!1,t.fire(new Vr(\"mouseup\",t,e))}),s.addEventListener(r,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var n=e.toElement||e.target;n&&n!==r;)n=n.parentNode;n===r&&t.fire(new Vr(\"mousemove\",t,e))}}),s.addEventListener(r,\"mouseover\",function(e){for(var n=e.toElement||e.target;n&&n!==r;)n=n.parentNode;n===r&&t.fire(new Vr(\"mouseover\",t,e))}),s.addEventListener(r,\"touchstart\",function(r){var n=new Ur(\"touchstart\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),s.addEventListener(r,\"touchmove\",function(e){t.fire(new Ur(\"touchmove\",t,e))},{passive:!1}),s.addEventListener(r,\"touchend\",function(e){t.fire(new Ur(\"touchend\",t,e))}),s.addEventListener(r,\"touchcancel\",function(e){t.fire(new Ur(\"touchcancel\",t,e))}),s.addEventListener(r,\"click\",function(e){t.fire(new Vr(\"click\",t,e))}),s.addEventListener(r,\"dblclick\",function(e){var r=new Vr(\"dblclick\",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),s.addEventListener(r,\"contextmenu\",function(e){var r=t.dragRotate.isActive();i||r?i&&(n=e):t.fire(new Vr(\"contextmenu\",t,e)),e.preventDefault()}),s.addEventListener(r,\"wheel\",function(e){var r=new qr(\"wheel\",t,e);t.fire(r),r.defaultPrevented||t.scrollZoom.onWheel(e)},{passive:!1})}(this,e),this._hash=e.hash&&(new jr).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),this.resize(),e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new nn),this.addControl(new an,e.logoPosition),this.on(\"style.load\",function(){this.transform.unmodified&&this.jumpTo(this.style.stylesheet)}),this.on(\"data\",this._onData),this.on(\"dataloading\",this._onDataLoading)}r&&(n.__proto__=r),n.prototype=Object.create(r&&r.prototype),n.prototype.constructor=n;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0}};return n.prototype.addControl=function(t,e){void 0===e&&t.getDefaultPosition&&(e=t.getDefaultPosition()),void 0===e&&(e=\"top-right\");var r=t.onAdd(this),n=this._controlPositions[e];return-1!==e.indexOf(\"bottom\")?n.insertBefore(r,n.firstChild):n.appendChild(r),this},n.prototype.removeControl=function(t){return t.onRemove(this),this},n.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];return this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e))},n.prototype.getBounds=function(){var e=new W(this.transform.pointLocation(new t.default$1(0,this.transform.height)),this.transform.pointLocation(new t.default$1(this.transform.width,0)));return(this.transform.angle||this.transform.pitch)&&(e.extend(this.transform.pointLocation(new t.default$1(this.transform.size.x,0))),e.extend(this.transform.pointLocation(new t.default$1(0,this.transform.size.y)))),e},n.prototype.getMaxBounds=function(){return this.transform.latRange&&2===this.transform.latRange.length&&this.transform.lngRange&&2===this.transform.lngRange.length?new W([this.transform.lngRange[0],this.transform.latRange[0]],[this.transform.lngRange[1],this.transform.latRange[1]]):null},n.prototype.setMaxBounds=function(t){if(t){var e=W.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null==t&&(this.transform.lngRange=null,this.transform.latRange=null,this._update());return this},n.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&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 0 and the current maxZoom, inclusive\")},n.prototype.getMinZoom=function(){return this.transform.minZoom},n.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\")},n.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},n.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update(),this},n.prototype.getMaxZoom=function(){return this.transform.maxZoom},n.prototype.project=function(t){return this.transform.locationPoint(G.convert(t))},n.prototype.unproject=function(e){return this.transform.pointLocation(t.default$1.convert(e))},n.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},n.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isActive()},n.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},n.prototype.on=function(t,e,n){var i,a=this;if(void 0===n)return r.prototype.on.call(this,t,e);var o=function(){if(\"mouseenter\"===t||\"mouseover\"===t){var r=!1;return{layer:e,listener:n,delegates:{mousemove:function(i){var o=a.getLayer(e)?a.queryRenderedFeatures(i.point,{layers:[e]}):[];o.length?r||(r=!0,n.call(a,new Vr(t,a,i.originalEvent,{features:o}))):r=!1},mouseout:function(){r=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:n,delegates:{mousemove:function(r){(a.getLayer(e)?a.queryRenderedFeatures(r.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,n.call(a,new Vr(t,a,r.originalEvent)))},mouseout:function(e){o&&(o=!1,n.call(a,new Vr(t,a,e.originalEvent)))}}}}return{layer:e,listener:n,delegates:(i={},i[t]=function(t){var r=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];r.length&&(t.features=r,n.call(a,t),delete t.features)},i)}}();for(var s in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(o),o.delegates)a.on(s,o.delegates[s]);return this},n.prototype.off=function(t,e,n){if(void 0===n)return r.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var i=this._delegatedListeners[t],a=0;a<i.length;a++){var o=i[a];if(o.layer===e&&o.listener===n){for(var s in o.delegates)this.off(s,o.delegates[s]);return i.splice(a,1),this}}return this},n.prototype.queryRenderedFeatures=function(e,r){var n;return 2===arguments.length?(e=e,r=r):1===arguments.length&&((n=e)instanceof t.default$1||Array.isArray(n))?(e=e,r={}):1===arguments.length?r=e=void 0:(e=void 0,r={}),this.style?this.style.queryRenderedFeatures(this._makeQueryGeometry(e),r,this.transform):[]},n.prototype._makeQueryGeometry=function(e){var r,n=this;if(void 0===e&&(e=[t.default$1.convert([0,0]),t.default$1.convert([this.transform.width,this.transform.height])]),e instanceof t.default$1||\"number\"==typeof e[0])r=[t.default$1.convert(e)];else{var i=[t.default$1.convert(e[0]),t.default$1.convert(e[1])];r=[i[0],new t.default$1(i[1].x,i[0].y),i[1],new t.default$1(i[0].x,i[1].y),i[0]]}return{viewport:r,worldCoordinate:r.map(function(t){return n.transform.pointCoordinate(t)})}},n.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},n.prototype.setStyle=function(e,r){if((!r||!1!==r.diff&&!r.localIdeographFontFamily)&&this.style&&e&&\"object\"==typeof e)try{return this.style.setState(e)&&this._update(!0),this}catch(e){t.warnOnce(\"Unable to perform style diff: \"+(e.message||e.error||e)+\".  Rebuilding the style from scratch.\")}return this.style&&(this.style.setEventedParent(null),this.style._remove()),e?(this.style=new Je(this,r||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof e?this.style.loadURL(e):this.style.loadJSON(e),this):(delete this.style,this)},n.prototype.getStyle=function(){if(this.style)return this.style.serialize()},n.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},n.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0),this},n.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+\"'\")))},n.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},n.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},n.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0),this},n.prototype.getSource=function(t){return this.style.getSource(t)},n.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var o=n.sdf;if(void 0===o&&(o=!1),r instanceof sn){var s=a.getImageData(r),l=s.width,c=s.height,u=s.data;this.style.addImage(e,{data:new t.RGBAImage({width:l,height:c},u),pixelRatio:i,sdf:o})}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`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var h=r.width,f=r.height,p=r.data;this.style.addImage(e,{data:new t.RGBAImage({width:h,height:f},p.slice(0)),pixelRatio:i,sdf:o})}},n.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},n.prototype.removeImage=function(t){this.style.removeImage(t)},n.prototype.loadImage=function(e,r){t.getImage(this._transformRequest(e,t.ResourceType.Image),r)},n.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0),this},n.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0),this},n.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0),this},n.prototype.getLayer=function(t){return this.style.getLayer(t)},n.prototype.setFilter=function(t,e){return this.style.setFilter(t,e),this._update(!0),this},n.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},n.prototype.getFilter=function(t){return this.style.getFilter(t)},n.prototype.setPaintProperty=function(t,e,r){return this.style.setPaintProperty(t,e,r),this._update(!0),this},n.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},n.prototype.setLayoutProperty=function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},n.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},n.prototype.setLight=function(t){return this.style.setLight(t),this._update(!0),this},n.prototype.getLight=function(){return this.style.getLight()},n.prototype.getContainer=function(){return this._container},n.prototype.getCanvasContainer=function(){return this._canvasContainer},n.prototype.getCanvas=function(){return this._canvas},n.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),[t,e]},n.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSContainer=s.create(\"div\",\"mapboxgl-missing-css\",t)).innerHTML=\"Missing Mapbox GL JS CSS\";var e=this._canvasContainer=s.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=s.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.style.position=\"absolute\",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 r=this._containerDimensions();this._resizeCanvas(r[0],r[1]);var n=this._controlContainer=s.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){i[t]=s.create(\"div\",\"mapboxgl-ctrl-\"+t,n)})},n.prototype._resizeCanvas=function(e,r){var n=t.default.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},n.prototype._setupPainter=function(){var r=t.extend({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer},e.webGLContextAttributes),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?this.painter=new zr(n,this.transform):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},n.prototype._contextLost=function(e){e.preventDefault(),this._frameId&&(a.cancelFrame(this._frameId),this._frameId=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},n.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},n.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},n.prototype._update=function(t){this.style&&(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender())},n.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},n.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},n.prototype._render=function(){this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=a.now();this.style.zoomHistory.update(r,n);var i=new t.default$16(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),o=i.crossFadingFactor();1===o&&o===this._crossFadingFactor||(e=!0,this._crossFadingFactor=o),this.style.update(i)}return 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.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),fadeDuration:this._fadeDuration}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty)&&this._rerender(),this},n.prototype.remove=function(){this._hash&&this._hash.remove(),a.cancelFrame(this._frameId),this._renderTaskQueue.clear(),this._frameId=null,this.setStyle(null),void 0!==t.default&&(t.default.removeEventListener(\"resize\",this._onWindowResize,!1),t.default.removeEventListener(\"online\",this._onWindowOnline,!1));var e=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");e&&e.loseContext(),hn(this._canvasContainer),hn(this._controlContainer),hn(this._missingCSSContainer),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"))},n.prototype._rerender=function(){var t=this;this.style&&!this._frameId&&(this._frameId=a.frame(function(){t._frameId=null,t._render()}))},n.prototype._onWindowOnline=function(){this._update()},n.prototype._onWindowResize=function(){this._trackResize&&this.stop().resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint=t,this._update()},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},n.prototype._onData=function(e){this._update(\"style\"===e.dataType),this.fire(new t.Event(e.dataType+\"data\",e))},n.prototype._onDataLoading=function(e){this.fire(new t.Event(e.dataType+\"dataloading\",e))},Object.defineProperties(n.prototype,i),n}(rn);function hn(t){t.parentNode&&t.parentNode.removeChild(t)}var fn={showCompass:!0,showZoom:!0},pn=function(e){var r=this;this.options=t.extend({},fn,e),this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this.options.showZoom&&(this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom In\",function(){return r._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom Out\",function(){return r._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset North\",function(){return r._map.resetNorth()}),this._compassArrow=s.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass))};function dn(t,e,r){if(t=new G(t.lng,t.lat),e){var n=new G(t.lng-360,t.lat),i=new G(t.lng+360,t.lat),a=r.locationPoint(t).distSqr(e);r.locationPoint(n).distSqr(e)<a?t=n:r.locationPoint(i).distSqr(e)<a&&(t=i)}for(;Math.abs(t.lng-r.center.lng)>180;){var o=r.locationPoint(t);if(o.x>=0&&o.y>=0&&o.x<=r.width&&o.y<=r.height)break;t.lng>r.center.lng?t.lng-=360:t.lng+=360}return t}pn.prototype._rotateCompassArrow=function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t},pn.prototype.onAdd=function(t){return this._map=t,this.options.showCompass&&(this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Yr(t,{button:\"left\",element:this._compass}),this._handler.enable()),this._container},pn.prototype.onRemove=function(){s.remove(this._container),this.options.showCompass&&(this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.disable(),delete this._handler),delete this._map},pn.prototype._createButton=function(t,e,r){var n=s.create(\"button\",t,this._container);return n.type=\"button\",n.setAttribute(\"aria-label\",e),n.addEventListener(\"click\",r),n};var gn={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 mn(t,e,r){var n=t.classList;for(var i in gn)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var vn=function(e){if((e instanceof t.default.HTMLElement||2===arguments.length)&&(e=t.extend({element:e},arguments[1])),t.bindAll([\"_update\",\"_onMapClick\"],this),this._anchor=e&&e.anchor||\"center\",this._color=e&&e.color||\"#3FB1CE\",e&&e.element)this._element=e.element,this._offset=t.default$1.convert(e&&e.offset||[0,0]);else{this._defaultMarker=!0,this._element=s.create(\"div\");var r=s.createNS(\"http://www.w3.org/2000/svg\",\"svg\");r.setAttributeNS(null,\"height\",\"41px\"),r.setAttributeNS(null,\"width\",\"27px\"),r.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var n=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");n.setAttributeNS(null,\"stroke\",\"none\"),n.setAttributeNS(null,\"stroke-width\",\"1\"),n.setAttributeNS(null,\"fill\",\"none\"),n.setAttributeNS(null,\"fill-rule\",\"evenodd\");var i=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");i.setAttributeNS(null,\"fill-rule\",\"nonzero\");var a=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),a.setAttributeNS(null,\"fill\",\"#000000\");for(var o=0,l=[{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\"}];o<l.length;o+=1){var c=l[o],u=s.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");u.setAttributeNS(null,\"opacity\",\"0.04\"),u.setAttributeNS(null,\"cx\",\"10.5\"),u.setAttributeNS(null,\"cy\",\"5.80029008\"),u.setAttributeNS(null,\"rx\",c.rx),u.setAttributeNS(null,\"ry\",c.ry),a.appendChild(u)}var h=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");h.setAttributeNS(null,\"fill\",this._color);var f=s.createNS(\"http://www.w3.org/2000/svg\",\"path\");f.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\"),h.appendChild(f);var p=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"opacity\",\"0.25\"),p.setAttributeNS(null,\"fill\",\"#000000\");var d=s.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var g=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),g.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var v=s.createNS(\"http://www.w3.org/2000/svg\",\"circle\");v.setAttributeNS(null,\"fill\",\"#000000\"),v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"cx\",\"5.5\"),v.setAttributeNS(null,\"cy\",\"5.5\"),v.setAttributeNS(null,\"r\",\"5.4999962\");var y=s.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(v),m.appendChild(y),i.appendChild(a),i.appendChild(h),i.appendChild(p),i.appendChild(g),i.appendChild(m),r.appendChild(i),this._element.appendChild(r),this._offset=t.default$1.convert(e&&e.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._popup=null};vn.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._update(),this._map.on(\"click\",this._onMapClick),this},vn.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),delete this._map),s.remove(this._element),this._popup&&this._popup.remove(),this},vn.prototype.getLngLat=function(){return this._lngLat},vn.prototype.setLngLat=function(t){return this._lngLat=G.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},vn.prototype.getElement=function(){return this._element},vn.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null),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)}return this},vn.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},vn.prototype.getPopup=function(){return this._popup},vn.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},vn.prototype._update=function(t){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=dn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),s.setTransform(this._element,gn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"),mn(this._element,this._anchor,\"marker\"))},vn.prototype.getOffset=function(){return this._offset},vn.prototype.setOffset=function(e){return this._offset=t.default$1.convert(e),this._update(),this};var yn,xn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},bn=function(e){function r(r){e.call(this),this.options=t.extend({},xn,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(e){var r;return this._map=e,this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),r=this._setupUI,void 0!==yn?r(yn):void 0!==t.default.navigator.permissions?t.default.navigator.permissions.query({name:\"geolocation\"}).then(function(t){yn=\"denied\"!==t.state,r(yn)}):(yn=!!t.default.navigator.geolocation,r(yn)),this._container},r.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.default.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker.remove(),s.remove(this._container),this._map=void 0},r.prototype._onSuccess=function(e){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()},r.prototype._updateCamera=function(t){var e=new G(t.coords.longitude,t.coords.latitude),r=t.coords.accuracy;this._map.fitBounds(e.toBounds(r),this.options.fitBoundsOptions,{geolocateSource:!0})},r.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},r.prototype._onError=function(e){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\"),void 0!==this._geolocationWatchID&&this._clearWatch();else 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\")}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()},r.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},r.prototype._setupUI=function(e){var r=this;!1!==e&&(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=s.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=s.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new vn(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==r._watchState||(r._watchState=\"BACKGROUND\",r._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),r._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),r.fire(new t.Event(\"trackuserlocationend\")))}))},r.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\":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\")}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.default.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}else t.default.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},r.prototype._clearWatch=function(){t.default.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)},r}(t.Evented),_n={maxWidth:100,unit:\"metric\"},wn=function(e){this.options=t.extend({},_n,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function kn(t,e,r){var n,i,a,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),i=t.unproject([c,u]),a=Math.PI/180,o=n.lat*a,s=i.lat*a,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((i.lng-n.lng)*a),6371e3*Math.acos(Math.min(l,1)));if(r&&\"imperial\"===r.unit){var f=3.2808*h;f>5280?Mn(e,c,f/5280,\"mi\"):Mn(e,c,f,\"ft\")}else r&&\"nautical\"===r.unit?Mn(e,c,h/1852,\"nm\"):Mn(e,c,h,\"m\")}function Mn(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?2:1)),l=s/r;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n}wn.prototype.getDefaultPosition=function(){return\"bottom-left\"},wn.prototype._onMove=function(){kn(this._map,this._container,this.options)},wn.prototype.onAdd=function(t){return this._map=t,this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},wn.prototype.onRemove=function(){s.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},wn.prototype.setUnit=function(t){this.options.unit=t,kn(this._map,this._container,this.options)};var An=function(){this._fullscreen=!1,t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.default.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.default.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.default.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.default.document&&(this._fullscreenchange=\"MSFullscreenChange\"),this._className=\"mapboxgl-ctrl\"};An.prototype.onAdd=function(e){return this._map=e,this._mapContainer=this._map.getContainer(),this._container=s.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._container.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._container},An.prototype.onRemove=function(){s.remove(this._container),this._map=null,t.default.document.removeEventListener(this._fullscreenchange,this._changeIcon)},An.prototype._checkFullscreenSupport=function(){return!!(t.default.document.fullscreenEnabled||t.default.document.mozFullScreenEnabled||t.default.document.msFullscreenEnabled||t.default.document.webkitFullscreenEnabled)},An.prototype._setupUI=function(){var e=this._fullscreenButton=s.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._container);e.setAttribute(\"aria-label\",\"Toggle fullscreen\"),e.type=\"button\",this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.default.document.addEventListener(this._fullscreenchange,this._changeIcon)},An.prototype._isFullscreen=function(){return this._fullscreen},An.prototype._changeIcon=function(){(t.default.document.fullscreenElement||t.default.document.mozFullScreenElement||t.default.document.webkitFullscreenElement||t.default.document.msFullscreenElement)===this._mapContainer!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"))},An.prototype._onClickFullscreen=function(){this._isFullscreen()?t.default.document.exitFullscreen?t.default.document.exitFullscreen():t.default.document.mozCancelFullScreen?t.default.document.mozCancelFullScreen():t.default.document.msExitFullscreen?t.default.document.msExitFullscreen():t.default.document.webkitCancelFullScreen&&t.default.document.webkitCancelFullScreen():this._mapContainer.requestFullscreen?this._mapContainer.requestFullscreen():this._mapContainer.mozRequestFullScreen?this._mapContainer.mozRequestFullScreen():this._mapContainer.msRequestFullscreen?this._mapContainer.msRequestFullscreen():this._mapContainer.webkitRequestFullscreen&&this._mapContainer.webkitRequestFullscreen()};var Tn={closeButton:!0,closeOnClick:!0},Sn=function(e){function r(r){e.call(this),this.options=t.extend(Object.create(Tn),r),t.bindAll([\"_update\",\"_onClickClose\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.addTo=function(e){return this._map=e,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this.fire(new t.Event(\"open\")),this},r.prototype.isOpen=function(){return!!this._map},r.prototype.remove=function(){return this._content&&s.remove(this._content),this._container&&(s.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(new t.Event(\"close\")),this},r.prototype.getLngLat=function(){return this._lngLat},r.prototype.setLngLat=function(t){return this._lngLat=G.convert(t),this._pos=null,this._update(),this},r.prototype.setText=function(e){return this.setDOMContent(t.default.document.createTextNode(e))},r.prototype.setHTML=function(e){var r,n=t.default.document.createDocumentFragment(),i=t.default.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},r.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},r.prototype._createContent=function(){this._content&&s.remove(this._content),this._content=s.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=s.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._onClickClose))},r.prototype._update=function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=s.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=s.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content)),this._map.transform.renderWorldCopies&&(this._lngLat=dn(this._lngLat,this._pos,this._map.transform));var e=this._pos=this._map.project(this._lngLat),r=this.options.anchor,n=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.default$1(0,0),top:new t.default$1(0,r),\"top-left\":new t.default$1(n,n),\"top-right\":new t.default$1(-n,n),bottom:new t.default$1(0,-r),\"bottom-left\":new t.default$1(n,-n),\"bottom-right\":new t.default$1(-n,-n),left:new t.default$1(r,0),right:new t.default$1(-r,0)}}if(r instanceof t.default$1||Array.isArray(r)){var i=t.default$1.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.default$1.convert(r.center||[0,0]),top:t.default$1.convert(r.top||[0,0]),\"top-left\":t.default$1.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.default$1.convert(r[\"top-right\"]||[0,0]),bottom:t.default$1.convert(r.bottom||[0,0]),\"bottom-left\":t.default$1.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.default$1.convert(r[\"bottom-right\"]||[0,0]),left:t.default$1.convert(r.left||[0,0]),right:t.default$1.convert(r.right||[0,0])}}return e(new t.default$1(0,0))}(this.options.offset);if(!r){var i,a=this._container.offsetWidth,o=this._container.offsetHeight;i=e.y+n.bottom.y<o?[\"top\"]:e.y>this._map.transform.height-o?[\"bottom\"]:[],e.x<a/2?i.push(\"left\"):e.x>this._map.transform.width-a/2&&i.push(\"right\"),r=0===i.length?\"bottom\":i.join(\"-\")}var l=e.add(n[r]).round();s.setTransform(this._container,gn[r]+\" translate(\"+l.x+\"px,\"+l.y+\"px)\"),mn(this._container,r,\"popup\")}},r.prototype._onClickClose=function(){this.remove()},r}(t.Evented),En={version:\"0.45.0\",supported:e,workerCount:Math.max(Math.floor(a.hardwareConcurrency/2),1),setRTLTextPlugin:t.setRTLTextPlugin,Map:un,NavigationControl:pn,GeolocateControl:bn,AttributionControl:nn,ScaleControl:wn,FullscreenControl:An,Popup:Sn,Marker:vn,Style:Je,LngLat:G,LngLatBounds:W,Point:t.default$1,Evented:t.Evented,config:m,get accessToken(){return m.ACCESS_TOKEN},set accessToken(t){m.ACCESS_TOKEN=t},workerUrl:\"\"};return En}),n})}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],394:[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],h=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;h.push(a[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":117}],395:[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(),h=i(),f=[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(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,k,M,A=u[3],T=u[7],S=u[11],E=u[12],C=u[13],L=u[14],z=u[15];if(0!==A||0!==T||0!==S){if(f[0]=A,f[1]=T,f[2]=S,f[3]=z,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],k=x[2],M=x[3],y[0]=b[0]*_+b[4]*w+b[8]*k+b[12]*M,y[1]=b[1]*_+b[5]*w+b[9]*k+b[13]*M,y[2]=b[2]*_+b[6]*w+b[10]*k+b[14]*M,y[3]=b[3]*_+b[7]*w+b[11]*k+b[15]*M}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 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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) * scale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * scale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * scale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * scale + 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){if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);var n;(\"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?t.shaders.rect(e):\"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,h){var d=e.passes[h];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 join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},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,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%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 k=[],M={},A=0,T=0,S=0,E=d.count;T<E;T++){var C=v[2*T],L=v[2*T+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*A],L=v[2*A+1],M[T]=A):A=T,k[S++]=C,k[S++]=L}for(var z=c(k,d.hole||[]),P=0,I=z.length;P<I;P++)null!=M[z[P]]&&(z[P]=M[z[P]]);d.triangles=z}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(f(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,B=R[2]-R[0],F=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[B/N,F/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 V,U=0;if(!t.dashes||t.dashes.length<2)U=1,V=new Uint8Array([255,255,255,255,255,255,255,255]);else{U=0;for(var q=0;q<t.dashes.length;++q)U+=t.dashes[q];V=new Uint8Array(U*m.dashMult);for(var H=0,G=255,W=0;W<2;W++)for(var Y=0;Y<t.dashes.length;++Y){for(var X=0,Z=t.dashes[Y]*m.dashMult*.5;X<Z;++X)V[H++]=G;G^=255}}d.dashLength=U,d.dashTexture({channels:1,data:V,width:V.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var $=d.count,J=t.color;J||(J=\"transparent\");var K=new Uint8Array(4*$+4);if(Array.isArray(J)&&\"number\"!=typeof J[0]){for(var Q=0;Q<$;Q++){var tt=n(J[Q],\"uint8\");K.set(tt,4*Q)}K.set(n(J[0],\"uint8\"),4*$)}else for(var et=n(J,\"uint8\"),rt=0;rt<$+1;rt++)K.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:K})}}else e.passes[h]=null}),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=e.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}return this.passes=this.passes.filter(Boolean),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\":56,\"array-normalize\":57,\"color-normalize\":107,earcut:155,\"es6-weak-map\":208,\"flatten-vertex-data\":216,glslify:377,\"object-assign\":421,\"parse-rect\":426,\"pick-by-alias\":432,\"to-float32\":500}],459:[function(t,e,r){\"use strict\";var n=t(\"./scatter\"),i=t(\"object-assign\");e.exports=function(t,e){var r=new n(t,e),a=r.render.bind(r);return i(a,{render:a,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}),a}},{\"./scatter\":460,\"object-assign\":421}],460:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"color-id\"),o=t(\"point-cluster\"),s=t(\"object-assign\"),l=t(\"glslify\"),c=t(\"pick-by-alias\"),u=t(\"update-diff\"),h=t(\"flatten-vertex-data\"),f=t(\"is-iexplorer\"),p=t(\"to-float32\"),d=p.float32,g=p.fract32,m=t(\"parse-rect\");function v(t,e){var r=this;if(!(this instanceof v))return new v(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=f,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),s(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:{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\"},c=s({},o);c.frag=l([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float pixelRatio, opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n    return;\\n  }\\n\\n  float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n  float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n  vec4 color = fragBorderColor;\\n  color.a *= borderColorAmt;\\n  color = mix(color, fragColor, colorAmt);\\n  color.a *= opacity;\\n\\n  gl_FragColor = color;\\n}\\n\"]),c.vert=l([\"precision mediump 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 sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius,\\n    fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nvec2 paletteCoord(float id) {\\n  return vec2(\\n    (mod(id, paletteSize.x) + .5) / paletteSize.x,\\n    (floor(id / paletteSize.x) + .5) / paletteSize.y\\n  );\\n}\\nvec2 paletteCoord(vec2 id) {\\n  return vec2(\\n    (id.x + .5) / paletteSize.x,\\n    (id.y + .5) / paletteSize.y\\n  );\\n}\\nvec4 getColor(vec4 id) {\\n  // zero-palette means we deal with direct buffer\\n  if (paletteSize.x == 0.) return id / 255.;\\n  return texture2D(palette, paletteCoord(id.xy));\\n}\\n\\nvoid main() {\\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 * pixelRatio;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]);try{this.drawMarker=t(c)}catch(t){}var u=s({},o);u.frag=l([\"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\"]),u.vert=l([\"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 sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nvec2 paletteCoord(float id) {\\n  return vec2(\\n    (mod(id, paletteSize.x) + .5) / paletteSize.x,\\n    (floor(id / paletteSize.x) + .5) / paletteSize.y\\n  );\\n}\\nvec2 paletteCoord(vec2 id) {\\n  return vec2(\\n    (id.x + .5) / paletteSize.x,\\n    (id.y + .5) / paletteSize.y\\n  );\\n}\\n\\nvec4 getColor(vec4 id) {\\n  // zero-palette means we deal with direct buffer\\n  if (paletteSize.x == 0.) return id / 255.;\\n  return texture2D(palette, paletteCoord(id.xy));\\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) * 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  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\"]),f&&(u.frag=u.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(u)}e.exports=v,v.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},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];return e.length&&(t=this).update.apply(t,e),this.draw(),this},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];var n=this.groups;if(1===e.length&&Array.isArray(e[0])&&(null===e[0][0]||Array.isArray(e[0][0]))&&(e=e[0]),this.regl._refresh(),e.length)for(var i=0;i<e.length;i++)t.drawItem(i,e[i]);else n.forEach(function(e,r){t.drawItem(r)});return this},v.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 i=[],a=1;a<n.activation.length;a++)n.activation[a]&&(!0===n.activation[a]||n.activation[a].data.length)&&i.push.apply(i,this.getMarkerDrawOptions(a,n,e));i.length&&this.drawMarker(i)}},v.prototype.getMarkerDrawOptions=function(t,e,r){var n=e.range,i=e.tree,a=e.viewport,o=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[s({},e,{markerTexture:this.markerTextures[t],activation:o[t],count:r.length,elements:r,offset:0})]:[s({},e,{markerTexture:this.markerTextures[t],activation:o[t],offset:0})];var u=[],h=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var f=o[t].data,p=new Uint8Array(c),d=0;d<r.length;d++){var g=r[d];p[g]=f?f[g]:1}l.subdata(p)}for(var m=h.length;m--;){var v=h[m],y=v[0],x=v[1];u.push(s({},e,{markerTexture:this.markerTextures[t],activation:r?l:o[t],offset:y,count:x-y}))}return u},v.prototype.update=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){1===e.length&&Array.isArray(e[0])&&(e=e[0]);var n=this.groups,a=this.gl,l=this.regl,f=this.maxSize,p=this.maxColors,y=this.palette;this.groups=n=e.map(function(e,r){var x=n[r];if(void 0===e)return x;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=c(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\"})).positions&&(e.positions=[]),x||(n[r]=x={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:l.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:l.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:l.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:l.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:l.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=s({},v.defaults,e)),!e.positions||\"marker\"in e||(e.marker=x.marker,delete x.marker),!e.marker||\"positions\"in e||(e.positions=x.positions,delete x.positions);var b=0,_=0;if(u(x,e,[{snap:!0,size:function(t,e){return null==t&&(t=v.defaults.size),b+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=v.defaults.borderSize),b+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=v.defaults.color),e=t.updateColor(e),_++,e},borderColor:function(e,r){return null==e&&(e=v.defaults.borderColor),e=t.updateColor(e),_++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,s=e.positionFractBuffer,c=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:l.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:l.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=h(t,\"float64\");var u=e.count=Math.floor(t.length/2),f=e.bounds=u?i(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||u>n)?e.tree=o(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var p={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(p):e.elements=l.elements(p)}return a({data:d(t),usage:\"dynamic\"}),s({data:g(t),usage:\"dynamic\"}),c({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach(function(t){return t&&t.destroy&&t.destroy()}),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],o=0,s=Math.min(e.length,r.count);o<s;o++){var c=t.addMarker(e[o]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][o]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](h):i[u]=l.buffer(h),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g(e.scale),e.translateFract=g(e.translate),t},viewport:function(t){return m(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),b){var w=x.count,k=x.size,M=x.borderSize,A=x.sizeBuffer,T=new Uint8Array(2*w);if(k.length||M.length)for(var S=0;S<w;S++)T[2*S]=Math.round(255*(null==k[S]?k:k[S])/f),T[2*S+1]=Math.round(255*(null==M[S]?M:M[S])/f);A({data:T,usage:\"dynamic\"})}if(_){var E,C=x.count,L=x.color,z=x.borderColor,P=x.colorBuffer;if(t.tooManyColors){if(L.length||z.length){E=new Uint8Array(8*C);for(var I=0;I<C;I++){var O=L[I];E[8*I]=y[4*O],E[8*I+1]=y[4*O+1],E[8*I+2]=y[4*O+2],E[8*I+3]=y[4*O+3];var D=z[I];E[8*I+4]=y[4*D],E[8*I+5]=y[4*D+1],E[8*I+6]=y[4*D+2],E[8*I+7]=y[4*D+3]}}}else if(L.length||z.length){E=new Uint8Array(4*C+2);for(var R=0;R<C;R++)null!=L[R]&&(E[4*R]=L[R]%p,E[4*R+1]=Math.floor(L[R]/p)),null!=z[R]&&(E[4*R+2]=z[R]%p,E[4*R+3]=Math.floor(z[R]/p))}P({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return x})}},v.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},v.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,i=this.maxColors;Array.isArray(t)||(t=[t]);var o=[];if(\"number\"==typeof t[0]){var s=[];if(Array.isArray(t))for(var l=0;l<t.length;l+=4)s.push(t.slice(l,l+4));else for(var c=0;c<t.length;c+=4)s.push(t.subarray(c,c+4));t=s}for(var u=0;u<t.length;u++){var h=t[u];h=n(h,\"uint8\");var f=a(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}o[u]=e[f]}return!this.tooManyColors&&r.length>i*i*4&&(this.tooManyColors=!0),this.updatePalette(r),1===o.length?o[0]:o},v.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)}},v.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}},{\"array-bounds\":56,\"color-id\":105,\"color-normalize\":107,\"flatten-vertex-data\":216,glslify:377,\"is-iexplorer\":387,\"object-assign\":421,\"parse-rect\":426,\"pick-by-alias\":432,\"point-cluster\":436,\"to-float32\":500,\"update-diff\":511}],461:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d/scatter\"),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 h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}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=arguments.length;e--;)t[e]=arguments[e];if(t.length){for(var r=0;r<t.length;r++)this.updateItem(r,t[r]);this.traces=this.traces.filter(Boolean);for(var n,i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(n=this.scatter).update.apply(n,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new 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n.baseCalendar,i(a.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\"../main\":536,\"object-assign\":421}],526:[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)?30:8===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\":536,\"object-assign\":421}],527:[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\":536,\"object-assign\":421}],528:[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\":536,\"object-assign\":421}],529:[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\":536,\"object-assign\":421}],530:[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\":536,\"object-assign\":421}],531:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;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\":536,\"object-assign\":421}],534:[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\":536,\"object-assign\":421}],535:[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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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\":684,\"../../plots/array_container_defaults\":728,\"../../plots/cartesian/axes\":732,\"../annotations/common_defaults\":544,\"./attributes\":550}],553:[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 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r},r.getDistanceFunction=function(t,e,n,i){return\"closest\"===t?i||r.quadrature(e,n):\"x\"===t?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var i=e(t[n]);i<=r.distance&&(r.index=n,r.distance=i)}return r},r.inbox=function(t,e,r){return t*e<0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),i=e(r);return Math.sqrt(n*n+i*i)}},r.makeEventData=function(t,e,n){var i=\"index\"in t?t.index:t.pointNumber,a={data:e._input,fullData:e,curveNumber:e.index,pointNumber:i};if(e._indexToPoints){var o=e._indexToPoints[i];1===o.length?a.pointIndex=o[0]:a.pointIndices=o}else a.pointIndex=i;return e._module.eventData?a=e._module.eventData(a,t,e,n,i):(\"xVal\"in t?a.x=t.xVal:\"x\"in t&&(a.x=t.x),\"yVal\"in t?a.y=t.yVal:\"y\"in t&&(a.y=t.y),t.xa&&(a.xaxis=t.xa),t.ya&&(a.yaxis=t.ya),void 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n=t(\"d3\"),i=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),o=t(\"../../lib\"),s=t(\"../../lib/events\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib/override_cursor\"),u=t(\"../drawing\"),h=t(\"../color\"),f=t(\"../dragelement\"),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../registry\"),g=t(\"./helpers\"),m=t(\"./constants\"),v=m.YANGLE,y=Math.PI*v/180,x=1/Math.sin(y),b=Math.cos(y),_=Math.sin(y),w=m.HOVERARROWSIZE,k=m.HOVERTEXTPAD;function M(t,e,r){var i=e.hovermode,a=e.rotateLabels,s=e.bgColor,c=e.container,f=e.outerContainer,p=e.commonLabelOpts||{},d=e.fontFamily||m.HOVERFONT,g=e.fontSize||m.HOVERFONTSIZE,y=t[0],x=y.xa,b=y.ya,_=\"y\"===i?\"yLabel\":\"xLabel\",M=y[_],A=(String(M)||\"\").split(\" \")[0],T=f.node().getBoundingClientRect(),S=T.top,E=T.width,C=T.height,L=void 0!==M&&y.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(L){var z,P,I=!0;for(z=0;z<t.length;z++){I&&void 0===t[z].zLabel&&(I=!1),P=t[z].hoverinfo||t[z].trace.hoverinfo;var 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v=\"top\"===x.side?\"-\":\"\";a.attr(\"d\",\"M0,0L\"+w+\",\"+v+w+\"H\"+(k+m.width/2)+\"v\"+v+(2*k+m.height)+\"H-\"+(k+m.width/2)+\"V\"+v+w+\"H-\"+w+\"Z\"),e.attr(\"transform\",\"translate(\"+(x._offset+(y.x0+y.x1)/2)+\",\"+(b._offset+(\"top\"===x.side?0:b._length))+\")\")}else{s.attr(\"text-anchor\",\"right\"===b.side?\"start\":\"end\").call(l.positionText,(\"right\"===b.side?1:-1)*(k+w),S-m.top-m.height/2);var T=\"right\"===b.side?\"\":\"-\";a.attr(\"d\",\"M0,0L\"+T+w+\",\"+w+\"V\"+(k+m.height/2)+\"h\"+T+(2*k+m.width)+\"V-\"+(k+m.height/2)+\"H\"+T+w+\"V-\"+w+\"Z\"),e.attr(\"transform\",\"translate(\"+(x._offset+(\"right\"===b.side?x._length:0))+\",\"+(b._offset+(y.y0+y.y1)/2)+\")\")}t=t.filter(function(t){return void 0!==t.zLabelVal||(t[_]||\"\").split(\" \")[0]===A})});var R=c.selectAll(\"g.hovertext\").data(t,function(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||\"\"].join(\",\")});return R.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var 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c=p.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+c+\" / -\"+p.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" \\xb1 \"+c,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var u=p.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+u+\" / -\"+p.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" \\xb1 \"+u,\"y\"===e&&(t.distance+=1)}var h=t.hoverinfo||t.trace.hoverinfo;return\"all\"!==h&&(-1===(h=Array.isArray(h)?h:h.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===h.indexOf(\"y\")&&(t.yLabel=void 0),-1===h.indexOf(\"z\")&&(t.zLabel=void 0),-1===h.indexOf(\"text\")&&(t.text=void 0),-1===h.indexOf(\"name\")&&(t.name=void 0)),t}function S(t,e){var r,n,i=e.container,o=e.fullLayout,s=e.event,l=!!t.hLinePoint,c=!!t.vLinePoint;if(i.selectAll(\".spikeline\").remove(),c||l){var f=h.combine(o.plot_bgcolor,o.paper_bgcolor);if(l){var 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M,A,T=t.vLinePoint;r=T&&T.xa,n=T&&T.ya,\"cursor\"===r.spikesnap?(M=s.pointerX,A=s.pointerY):(M=r._offset+T.x,A=n._offset+T.y);var S,E,C=a.readability(T.color,f)<1.5?h.contrast(f):T.color,L=r.spikemode,z=r.spikethickness,P=r.spikecolor||C,I=r._boundingBox,O=(I.top+I.bottom)/2<A?I.bottom:I.top;-1===L.indexOf(\"toaxis\")&&-1===L.indexOf(\"across\")||(-1!==L.indexOf(\"toaxis\")&&(S=O,E=A),-1!==L.indexOf(\"across\")&&(S=r._counterSpan[0],E=r._counterSpan[1]),i.insert(\"line\",\":first-child\").attr({x1:M,x2:M,y1:S,y2:E,\"stroke-width\":z,stroke:P,\"stroke-dasharray\":u.dashStyle(r.spikedash,z)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),i.insert(\"line\",\":first-child\").attr({x1:M,x2:M,y1:S,y2:E,\"stroke-width\":z+2,stroke:f}).classed(\"spikeline\",!0).classed(\"crisp\",!0)),-1!==L.indexOf(\"marker\")&&i.insert(\"circle\",\":first-child\").attr({cx:M,cy:O-(\"top\"!==r.side?z:-z),r:z,fill:P}).classed(\"spikeline\",!0)}}}function E(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}r.hover=function(t,e,r,a){t=o.getGraphDiv(t),o.throttle(t._fullLayout._uid+m.HOVERID,m.HOVERMINTIME,function(){!function(t,e,r,a){r||(r=\"xy\");var l=Array.isArray(r)?r:[r],u=t._fullLayout,m=u._plots||[],v=m[r],y=u._has(\"cartesian\");if(v){var b=v.overlays.map(function(t){return t.id});l=l.concat(b)}for(var _=l.length,w=new Array(_),k=new Array(_),C=!1,L=0;L<_;L++){var z=l[L],P=m[z];if(P)C=!0,w[L]=p.getFromId(t,P.xaxis._id),k[L]=p.getFromId(t,P.yaxis._id);else{var I=u[z]._subplot;w[L]=I.xaxis,k[L]=I.yaxis}}var O=e.hovermode||u.hovermode;O&&!C&&(O=\"closest\");if(-1===[\"x\",\"y\",\"closest\"].indexOf(O)||!t.calcdata||t.querySelector(\".zoombox\")||t._dragging)return f.unhoverRaw(t,e);var 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nt=1/0;for(F=0;F<J.length;F++)if((N=J[F])&&N[0]&&N[0].trace&&!0===N[0].trace.visible&&(j=N[0].trace,-1===[\"carpet\",\"contourcarpet\"].indexOf(j._module.name))){if(\"splom\"===j.type?V=l[U=0]:(V=g.getSubplot(j),U=l.indexOf(V)),q=O,W={cd:N,trace:j,xa:w[U],ya:k[U],maxHoverDistance:X,maxSpikeDistance:Z,index:!1,distance:Math.min(nt,X),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:h.defaultLine,name:j.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[V]&&(W.subplot=u[V]._subplot),Y=$.length,\"array\"===q){var it=e[F];\"pointNumber\"in it?(W.index=it.pointNumber,q=\"closest\"):(q=\"\",\"xval\"in it&&(H=it.xval,q=\"x\"),\"yval\"in it&&(G=it.yval,q=q?\"closest\":\"y\"))}else H=D[U],G=R[U];if(0!==X)if(j._module&&j._module.hoverPoints){var at=j._module.hoverPoints(W,H,G,q,u._hoverlayer);if(at)for(var ot,st=0;st<at.length;st++)ot=at[st],i(ot.x0)&&i(ot.y0)&&$.push(T(ot,O))}else o.log(\"Unrecognized trace type in 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St=\"y\"===O&&J.length>1,Et=h.combine(u.plot_bgcolor||h.background,u.paper_bgcolor),Ct={hovermode:O,rotateLabels:St,bgColor:Et,container:u._hoverlayer,outerContainer:u._paperdiv,commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance},Lt=M($,Ct,t);if(function(t,e,r){var n,i,a,o,s,l,c,u=0,h=t.map(function(t,n){var i=t[e];return[{i:n,dp:0,pos:t.pos,posref:t.posref,size:t.by*(\"x\"===i._id.charAt(0)?x:1)/2,pmin:0,pmax:\"x\"===i._id.charAt(0)?r.width:r.height}]}).sort(function(t,e){return t[0].posref-e[0].posref});function f(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var 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zt=d.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,At);c(n.select(e.target),zt?\"pointer\":\"\")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber))return!0}return!1}(t,0,Mt))return;Mt&&t.emit(\"plotly_unhover\",{event:e,points:Mt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:w,yaxes:k,xvals:D,yvals:R})}(t,e,r,a)})},r.loneHover=function(t,e){var r={color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,trace:{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0},i=n.select(e.container),a=e.outerContainer?n.select(e.outerContainer):i,o={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:a},s=M([r],o,e.gd);return A(s,o.rotateLabels),s.node()}},{\"../../lib\":684,\"../../lib/events\":672,\"../../lib/override_cursor\":695,\"../../lib/svg_text_utils\":708,\"../../plots/cartesian/axes\":732,\"../../registry\":817,\"../color\":558,\"../dragelement\":580,\"../drawing\":583,\"./constants\":595,\"./helpers\":597,d3:147,\"fast-isnumeric\":214,tinycolor2:499}],599:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e,r,i){r(\"hoverlabel.bgcolor\",(i=i||{}).bgcolor),r(\"hoverlabel.bordercolor\",i.bordercolor),r(\"hoverlabel.namelength\",i.namelength),n.coerceFont(r,\"hoverlabel.font\",i.font)}},{\"../../lib\":684}],600:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../lib\"),a=t(\"../dragelement\"),o=t(\"./helpers\"),s=t(\"./layout_attributes\");e.exports={moduleType:\"component\",name:\"fx\",constants:t(\"./constants\"),schema:{layout:s},attributes:t(\"./attributes\"),layoutAttributes:s,supplyLayoutGlobalDefaults:t(\"./layout_global_defaults\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)})},hover:t(\"./hover\").hover,unhover:a.unhover,loneHover:t(\"./hover\").loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:t(\"./click\")}},{\"../../lib\":684,\"../dragelement\":580,\"./attributes\":592,\"./calc\":593,\"./click\":594,\"./constants\":595,\"./defaults\":596,\"./helpers\":597,\"./hover\":598,\"./layout_attributes\":601,\"./layout_defaults\":602,\"./layout_global_defaults\":603,d3:147}],601:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../plots/font_attributes\")({editType:\"none\"});i.family.dflt=n.HOVERFONT,i.size.dflt=n.HOVERFONTSIZE,e.exports={dragmode:{valType:\"enumerated\",values:[\"zoom\",\"pan\",\"select\",\"lasso\",\"orbit\",\"turntable\"],dflt:\"zoom\",editType:\"modebar\"},hovermode:{valType:\"enumerated\",values:[\"x\",\"y\",\"closest\",!1],editType:\"modebar\"},hoverdistance:{valType:\"integer\",min:-1,dflt:20,editType:\"none\"},spikedistance:{valType:\"integer\",min:-1,dflt:20,editType:\"none\"},hoverlabel:{bgcolor:{valType:\"color\",editType:\"none\"},bordercolor:{valType:\"color\",editType:\"none\"},font:i,namelength:{valType:\"integer\",min:-1,dflt:15,editType:\"none\"},editType:\"none\"},selectdirection:{valType:\"enumerated\",values:[\"h\",\"v\",\"d\",\"any\"],dflt:\"any\",editType:\"none\"}}},{\"../../plots/font_attributes\":758,\"./constants\":595}],602:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}var o;\"select\"===a(\"dragmode\")&&a(\"selectdirection\"),e._has(\"cartesian\")?(e._isHoriz=function(t){for(var e=!0,r=0;r<t.length;r++){var n=t[r];if(\"h\"!==n.orientation){e=!1;break}}return e}(r),o=e._isHoriz?\"y\":\"x\"):o=\"closest\",a(\"hovermode\",o)&&(a(\"hoverdistance\"),a(\"spikedistance\"));var s=e._has(\"mapbox\"),l=e._has(\"geo\"),c=e._basePlotModules.length;\"zoom\"===e.dragmode&&((s||l)&&1===c||s&&l&&2===c)&&(e.dragmode=\"pan\")}},{\"../../lib\":684,\"./layout_attributes\":601}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./hoverlabel_defaults\"),a=t(\"./layout_attributes\");e.exports=function(t,e){i(t,e,function(r,i){return n.coerce(t,e,a,r,i)})}},{\"../../lib\":684,\"./hoverlabel_defaults\":599,\"./layout_attributes\":601}],604:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/regex\").counter,a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/cartesian/constants\").idRegex,s=t(\"../../plot_api/plot_template\"),l={rows:{valType:\"integer\",min:1,editType:\"plot\"},roworder:{valType:\"enumerated\",values:[\"top to bottom\",\"bottom to top\"],dflt:\"top to 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n=e.xref,i=e.yref,o=a.getFromId(r,n),l=a.getFromId(r,i),c=\"\";\"paper\"===n||o.autorange||(c+=n);\"paper\"===i||l.autorange||(c+=i);t.call(s.setClipUrl,c?\"clip\"+r._fullLayout._uid+c:null)}(e,r,t),X.moveFn=\"move\"===P?$:J},doneFn:function(){u(e),Q(p),d(e,t,r),n.call(\"relayout\",t,N.getUpdateObj())},clickFn:function(){Q(p)}};function Z(t){if(B)P=\"path\"===t.target.tagName?\"move\":\"start-point\"===t.target.attributes[\"data-line-point\"].value?\"resize-over-start-point\":\"resize-over-end-point\";else{var r=X.element.getBoundingClientRect(),n=r.right-r.left,i=r.bottom-r.top,a=t.clientX-r.left,o=t.clientY-r.top,s=!F&&n>I&&i>O&&!t.shiftKey?c.getCursor(a/n,1-o/i):\"move\";u(e,s),P=s.split(\"-\")[0]}}function $(n,i){if(\"path\"===r.type){var a=function(t){return t},o=a,s=a;D?j(\"xanchor\",r.xanchor=G(_+n)):(o=function(t){return G(q(t)+n)},V&&\"date\"===V.type&&(o=f.encodeDate(o))),R?j(\"yanchor\",r.yanchor=W(w+i)):(s=function(t){return 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e._shapeUpperLayer.selectAll(\"path\").remove(),e._shapeLowerLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].shapelayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.shapes.length;i++)e.shapes[i].visible&&p(t,i)},drawOne:p}},{\"../../lib\":684,\"../../lib/setcursor\":704,\"../../plot_api/plot_template\":722,\"../../plots/cartesian/axes\":732,\"../../registry\":817,\"../color\":558,\"../dragelement\":580,\"../drawing\":583,\"./constants\":639,\"./helpers\":642}],642:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib\");r.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},r.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},r.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},r.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},r.extractPathCoords=function(t,e){var r=[];return t.match(n.segmentRE).forEach(function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}}),r},r.getDataToPixel=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.shapePositionToRange(e);i=function(t){return e._offset+e.r2p(o(t,!0))},\"date\"===e.type&&(i=r.decodeDate(i))}else i=n?function(t){return a.t+a.h*(1-t)}:function(t){return a.l+a.w*t};return i},r.getPixelToData=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.rangeToShapePosition(e);i=function(t){return o(e.p2r(t-e._offset))}}else i=n?function(t){return 1-(t-a.t)/a.h}:function(t){return(t-a.l)/a.w};return i},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n}},{\"../../lib\":684,\"./constants\":639}],643:[function(t,e,r){\"use strict\";var n=t(\"./draw\");e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"shapes\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne}},{\"../../plots/cartesian/include_components\":742,\"./attributes\":637,\"./calc_autorange\":638,\"./defaults\":640,\"./draw\":641}],644:[function(t,e,r){\"use strict\";var 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,{},{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\":673,\"../../plot_api/edit_types\":715,\"../../plot_api/plot_template\":722,\"../../plots/animation_attributes\":727,\"../../plots/font_attributes\":758,\"../../plots/pad_attributes\":794,\"./constants\":645}],645:[function(t,e,r){\"use 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h=e._visibleSteps=n.filterVisible(s);(s[o(\"active\")]||{}).visible||(e.active=h[0]._index),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"len\"),o(\"lenmode\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"currentvalue.visible\")&&(o(\"currentvalue.xanchor\"),o(\"currentvalue.prefix\"),o(\"currentvalue.suffix\"),o(\"currentvalue.offset\"),n.coerceFont(o,\"currentvalue.font\",e.font)),o(\"transition.duration\"),o(\"transition.easing\"),o(\"bgcolor\"),o(\"activebgcolor\"),o(\"bordercolor\"),o(\"borderwidth\"),o(\"ticklen\"),o(\"tickwidth\"),o(\"tickcolor\"),o(\"minorticklen\")}}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":684,\"../../plots/array_container_defaults\":728,\"./attributes\":644,\"./constants\":645}],647:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plots/plots\"),a=t(\"../color\"),o=t(\"../drawing\"),s=t(\"../../lib\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../legend/anchor_utils\"),u=t(\"../../plot_api/plot_template\").arrayEditor,h=t(\"./constants\"),f=t(\"../../constants/alignment\"),p=f.LINE_SPACING,d=f.FROM_TL,g=f.FROM_BR;function m(t){return h.autoMarginIdRoot+t._index}function v(t){return t._index}function y(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,!0);var a=0,s=0;r.each(function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);s=Math.max(s,i.height),a=Math.max(a,i.width)}}),r.remove();var 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e=t.center||{},r=t.projection,n=r.rotation||{};t._isScoped?this.viewInitial={\"center.lon\":e.lon,\"center.lat\":e.lat,\"projection.scale\":r.scale}:t._isClipped?this.viewInitial={\"projection.scale\":r.scale,\"projection.rotation.lon\":n.lon,\"projection.rotation.lat\":n.lat}:this.viewInitial={\"center.lon\":e.lon,\"center.lat\":e.lat,\"projection.scale\":r.scale,\"projection.rotation.lon\":n.lon}},y.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function i(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",function(t){return r(t.geojson)});for(t in 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l=a[s],c=i(r,o,l),u=e[l]._subplot;u||(u=n({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}},r.updateFx=function(t){for(var e=t._subplots.geo,r=0;r<e.length;r++){var n=t[e[r]];n._subplot.updateFx(t,n)}}},{\"../../lib\":684,\"../../plots/get_data\":768,\"./geo\":761,\"./layout/attributes\":763,\"./layout/defaults\":764,\"./layout/layout_attributes\":765}],763:[function(t,e,r){\"use strict\";e.exports={geo:{valType:\"subplotid\",dflt:\"geo\",editType:\"calc\"}}},{}],764:[function(t,e,r){\"use strict\";var n=t(\"../../subplot_defaults\"),i=t(\"../constants\"),a=t(\"./layout_attributes\"),o=i.axesNames;function s(t,e,r){var 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E=u?s.projRotate:[S,0,0];M=r(\"projection.rotation.lon\",E[0]),r(\"projection.rotation.lat\",E[1]),r(\"projection.rotation.roll\",E[2]),r(\"showcoastlines\",!u)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\")&&r(\"oceancolor\")}(c?(A=-96.6,T=38.7):(A=u?S:M,T=(_[0]+_[1])/2),r(\"center.lon\",A),r(\"center.lat\",T),h)&&r(\"projection.parallels\",s.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\")&&r(\"landcolor\"),r(\"showlakes\")&&r(\"lakecolor\"),r(\"showrivers\")&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",u&&\"usa\"!==a)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===a||\"north 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n=t(\"../../../components/color/attributes\"),i=t(\"../../domain\").attributes,a=t(\"../constants\"),o=t(\"../../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\"},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};e.exports=o({domain:i({name:\"geo\"},{}),resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(a.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(a.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:a.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:a.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:a.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:a.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":557,\"../../../plot_api/edit_types\":715,\"../../domain\":757,\"../constants\":760}],766:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener(\"touchmove\",function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener(\"touchend\",function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()},!!s&&{passive:!1}),c.wheelListener=i(e,function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0},!0),c}},{\"../cartesian/constants\":737,\"has-passive-events\":379,\"mouse-change\":402,\"mouse-event-offset\":403,\"mouse-wheel\":405}],770:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/html2unicode\"),a=t(\"../../lib/str2rgbarray\");function o(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=!1,this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var s=o.prototype,l=[\"xaxis\",\"yaxis\"];s.merge=function(t){var e,r,n,o,s,c,u,h,f,p,d;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),p=0;p<2;++p){var g=(e=l[p]).charAt(0);for(n=(r=t[this.scene[e]._name]).title===this.scene.fullLayout._dfltTitle[g]?\"\":r.title,d=0;d<=2;d+=2)this.labelEnable[p+d]=!1,this.labels[p+d]=i(n),this.labelColor[p+d]=a(r.titlefont.color),this.labelFont[p+d]=r.titlefont.family,this.labelSize[p+d]=r.titlefont.size,this.labelPad[p+d]=this.getLabelPad(e,r),this.tickEnable[p+d]=!1,this.tickColor[p+d]=a((r.tickfont||{}).color),this.tickAngle[p+d]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[p+d]=this.getTickPad(r),this.tickMarkLength[p+d]=0,this.tickMarkWidth[p+d]=r.tickwidth||0,this.tickMarkColor[p+d]=a(r.tickcolor),this.borderLineEnable[p+d]=!1,this.borderLineColor[p+d]=a(r.linecolor),this.borderLineWidth[p+d]=r.linewidth||0;u=this.hasSharedAxis(r),s=this.hasAxisInDfltPos(e,r)&&!u,c=this.hasAxisInAltrPos(e,r)&&!u,o=r.mirror||!1,h=u?-1!==String(o).indexOf(\"all\"):!!o,f=u?\"allticks\"===o:-1!==String(o).indexOf(\"ticks\"),s?this.labelEnable[p]=!0:c&&(this.labelEnable[p+2]=!0),s?this.tickEnable[p]=r.showticklabels:c&&(this.tickEnable[p+2]=r.showticklabels),(s||h)&&(this.borderLineEnable[p]=r.showline),(c||h)&&(this.borderLineEnable[p+2]=r.showline),(s||f)&&(this.tickMarkLength[p]=this.getTickMarkLength(r)),(c||f)&&(this.tickMarkLength[p+2]=this.getTickMarkLength(r)),this.gridLineEnable[p]=r.showgrid,this.gridLineColor[p]=a(r.gridcolor),this.gridLineWidth[p]=r.gridwidth,this.zeroLineEnable[p]=r.zeroline,this.zeroLineColor[p]=a(r.zerolinecolor),this.zeroLineWidth[p]=r.zerolinewidth}},s.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},s.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},s.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},s.getLabelPad=function(t,e){var r=e.titlefont.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},s.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},s.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new o(t)}},{\"../../lib/html2unicode\":682,\"../../lib/str2rgbarray\":707,\"../cartesian/axes\":732}],771:[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)0===u(t,\"gl2d\",o).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._subplots.gl2d,r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{\"../../components/fx/layout_attributes\":601,\"../../constants/xmlns_namespaces\":663,\"../../plot_api/edit_types\":715,\"../cartesian\":743,\"../cartesian/attributes\":730,\"../cartesian/constants\":737,\"../get_data\":768,\"../layout_attributes\":786,\"./scene2d\":772}],772:[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\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/html2unicode\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),v=m.enforce,y=m.clean,x=t(\"../cartesian/autorange\").doAutoRange,b=[\"xaxis\",\"yaxis\"],_=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function w(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,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=w;var k=w.prototype;k.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return g(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),r.className+=\" user-select-none\";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})},k.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},k.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},k.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=d(t[e][r].text+\"\");return t},k.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(_),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},k.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},k.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())},k.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)}},k.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}},k.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}};y(s,this.xaxis),y(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[b[c]])._length=o.viewBox[c+2]-o.viewBox[c],x(l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},k.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])]},k.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])]},k.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})},k.updateFx=function(t){\"lasso\"===t||\"select\"===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},k.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]})},k.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var 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\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},k.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},k.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":600,\"../../lib/html2unicode\":682,\"../../lib/show_no_webgl_msg\":705,\"../../plots/cartesian/axes\":732,\"../../registry\":817,\"../cartesian/autorange\":731,\"../cartesian/constants\":737,\"../cartesian/constraints\":739,\"./camera\":769,\"./convert\":770,\"gl-plot2d\":275,\"gl-select-box\":285,\"gl-spikes2d\":294,\"webgl-context\":521}],773:[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],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",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,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var g=0,m=0,v={shift:!1,control:!1,alt:!1,meta:!1};function y(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,y=!!a.shift,x=!!(1&e),b=!!(2&e),_=!!(4&e),w=1/t.clientHeight,k=w*(r-g),M=w*(i-m),A=d.flipX?1:-1,T=d.flipY?1:-1,S=n(),E=Math.PI*d.rotateSpeed;if((s&&x&&!f&&!p&&!y||x&&!f&&!p&&y)&&c.rotate(S,A*E*k,-T*E*M,0),(l&&x&&!f&&!p&&!y||b||x&&f&&!p&&!y)&&c.pan(S,-d.translateSpeed*k*h,d.translateSpeed*M*h,0),u&&x&&!f&&!p&&!y||_||x&&!f&&p&&!y){var C=-d.zoomSpeed*M/window.innerHeight*(S-c.lastT())*100;c.pan(S,0,0,h*(Math.exp(C)-1))}return g=r,m=i,v=a,!0}}return d.mouseListener=a(t,y),t.addEventListener(\"touchstart\",function(e){var r=s(e.changedTouches[0],t);y(0,r[0],r[1],v),y(1,r[0],r[1],v),e.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchmove\",function(e){var r=s(e.changedTouches[0],t);y(1,r[0],r[1],v),e.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchend\",function(t){y(0,g,m,v),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode){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{var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}},!0),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\":43,\"has-passive-events\":379,\"mouse-change\":402,\"mouse-event-offset\":403,\"mouse-wheel\":405,\"right-now\":465}],774:[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 l=n[i],c=o(r,\"gl3d\",l),u=e[l],h=u._scene;h||(h=new a({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),u._scene=h),h.cameraInitial||(h.cameraInitial=s.extendDeep({},u.camera)),h.plot(c,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._subplots.gl3d,r=0;r<e.length;r++){t[e[r]]._scene.updateFx(t.dragmode,t.hovermode)}}},{\"../../components/fx/layout_attributes\":601,\"../../constants/xmlns_namespaces\":663,\"../../lib\":684,\"../../plot_api/edit_types\":715,\"../get_data\":768,\"./layout/attributes\":775,\"./layout/defaults\":779,\"./layout/layout_attributes\":780,\"./scene\":784}],775:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],776:[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:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,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,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},\"plot\",\"from-root\")},{\"../../../components/color\":558,\"../../../lib/extend\":673,\"../../../plot_api/edit_types\":715,\"../../cartesian/layout_attributes\":744}],777:[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,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r.data),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":684,\"../../../plot_api/plot_template\":722,\"../../cartesian/axis_defaults\":734,\"../../cartesian/type_defaults\":755,\"./axis_attributes\":776,tinycolor2:499}],778:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/html2unicode\"),i=t(\"../../../lib/str2rgbarray\"),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.labelAngle=[0,0,0],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){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.labels[e]=n(r.title),\"titlefont\"in r&&(r.titlefont.color&&(this.labelColor[e]=i(r.titlefont.color)),r.titlefont.family&&(this.labelFont[e]=r.titlefont.family),r.titlefont.size&&(this.labelSize[e]=r.titlefont.size)),\"showline\"in r&&(this.lineEnable[e]=r.showline),\"linecolor\"in r&&(this.lineColor[e]=i(r.linecolor)),\"linewidth\"in r&&(this.lineWidth[e]=r.linewidth),\"showgrid\"in r&&(this.gridEnable[e]=r.showgrid),\"gridcolor\"in r&&(this.gridColor[e]=i(r.gridcolor)),\"gridwidth\"in r&&(this.gridWidth[e]=r.gridwidth),\"log\"===r.type?this.zeroEnable[e]=!1:\"zeroline\"in r&&(this.zeroEnable[e]=r.zeroline),\"zerolinecolor\"in r&&(this.zeroLineColor[e]=i(r.zerolinecolor)),\"zerolinewidth\"in r&&(this.zeroLineWidth[e]=r.zerolinewidth),\"ticks\"in r&&r.ticks?this.lineTickEnable[e]=!0:this.lineTickEnable[e]=!1,\"ticklen\"in r&&(this.lineTickLength[e]=this._defaultLineTickLength[e]=r.ticklen),\"tickcolor\"in r&&(this.lineTickColor[e]=i(r.tickcolor)),\"tickwidth\"in r&&(this.lineTickWidth[e]=r.tickwidth),\"tickangle\"in r&&(this.tickAngle[e]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180),\"showticklabels\"in r&&(this.tickEnable[e]=r.showticklabels),\"tickfont\"in r&&(r.tickfont.color&&(this.tickColor[e]=i(r.tickfont.color)),r.tickfont.family&&(this.tickFont[e]=r.tickfont.family),r.tickfont.size&&(this.tickSize[e]=r.tickfont.size)),\"mirror\"in r?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(r.mirror)?(this.lineTickMirror[e]=!0,this.lineMirror[e]=!0):!0===r.mirror?(this.lineTickMirror[e]=!1,this.lineMirror[e]=!0):(this.lineTickMirror[e]=!1,this.lineMirror[e]=!1):this.lineMirror[e]=!1,\"showbackground\"in r&&!1!==r.showbackground?(this.backgroundEnable[e]=!0,this.backgroundColor[e]=i(r.backgroundcolor)):this.backgroundEnable[e]=!1):(this.tickEnable[e]=!1,this.labelEnable[e]=!1,this.lineEnable[e]=!1,this.lineTickEnable[e]=!1,this.gridEnable[e]=!1,this.zeroEnable[e]=!1,this.backgroundEnable[e]=!1)}},e.exports=function(t){var e=new o;return e.merge(t),e}},{\"../../../lib/html2unicode\":682,\"../../../lib/str2rgbarray\":707}],779:[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\");function c(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),c=[\"up\",\"center\",\"eye\"],u=0;u<c.length;u++)r(\"camera.\"+c[u]+\".x\"),r(\"camera.\"+c[u]+\".y\"),r(\"camera.\"+c[u]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===f&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode),s(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),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:c,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":558,\"../../../lib\":684,\"../../../registry\":817,\"../../subplot_defaults\":809,\"./axis_defaults\":777,\"./layout_attributes\":780}],780:[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),{}),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],dflt:\"turntable\",editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":684,\"../../../lib/extend\":673,\"../../domain\":757,\"./axis_attributes\":776}],781:[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\":707}],782:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,l=t.fullSceneLayout,c=[[],[],[]],u=0;u<3;++u){var h=l[o[u]];if(h._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(h._length)===1/0)c[u]=[];else{h._input_range=h.range.slice(),h.range[0]=r[u].lo/t.dataScale[u],h.range[1]=r[u].hi/t.dataScale[u],h._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),h.range[0]===h.range[1]&&(h.range[0]-=1,h.range[1]+=1);var f=h.tickmode;if(\"auto\"===h.tickmode){h.tickmode=\"linear\";var p=h.nticks||i.constrain(h._length/40,4,9);n.autoTicks(h,Math.abs(h.range[1]-h.range[0])/p)}for(var d=n.calcTicks(h),g=0;g<d.length;++g)d[g].x=d[g].x*t.dataScale[u],d[g].text=a(d[g].text);c[u]=d,h.tickmode=f}}e.ticks=c;for(var u=0;u<3;++u){s[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var g=0;g<2;++g)e.bounds[g][u]=t.glplot.bounds[g][u]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(c)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=t(\"../../../lib/html2unicode\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"],s=[0,0,0]},{\"../../../lib\":684,\"../../../lib/html2unicode\":682,\"../../cartesian/axes\":732}],783:[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])))}},{}],784:[function(t,e,r){\"use strict\";var n,i,a=t(\"gl-plot3d\"),o=t(\"webgl-context\"),s=t(\"has-passive-events\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../components/fx\"),f=t(\"../../lib/str2rgbarray\"),p=t(\"../../lib/show_no_webgl_msg\"),d=t(\"./camera\"),g=t(\"./project\"),m=t(\"./layout/convert\"),v=t(\"./layout/spikes\"),y=t(\"./layout/tick_marks\");function x(t,e,r,l){var f={canvas:r,gl:l,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=o({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");f.pixelRatio=t.pixelRatio,f.gl=i,f.canvas=n}try{t.glplot=a(f)}catch(e){return p(t)}var m=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+\".camera\"]=M(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit(\"plotly_relayout\",e)}};if(t.glplot.canvas.addEventListener(\"mouseup\",m.bind(null,t)),t.glplot.canvas.addEventListener(\"wheel\",m.bind(null,t),!!s&&{passive:!1}),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(t){c.warn(\"Lost WebGL context.\"),t.preventDefault()}),!t.camera){var v=t.fullSceneLayout.camera;t.camera=d(t.container,{center:[v.center.x,v.center.y,v.center.z],eye:[v.eye.x,v.eye.y,v.eye.z],up:[v.up.x,v.up.y,v.up.z],zoomMin:.1,zoomMax:100,mode:\"orbit\"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(t){var e,r=t.svgContainer,n=t.container.getBoundingClientRect(),i=n.width,a=n.height;r.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+a),r.setAttributeNS(null,\"width\",i),r.setAttributeNS(null,\"height\",a),y(t),t.glplot.axes.update(t.axesOptions);for(var o,s=Object.keys(t.traces),l=null,c=t.glplot.selection,f=0;f<s.length;++f)\"skip\"!==(e=t.traces[s[f]]).data.hoverinfo&&e.handlePick(c)&&(l=e),e.setContourLevels&&e.setContourLevels();function p(e,r){var n=t.fullSceneLayout[e];return u.tickText(n,n.d2l(r),\"hover\").text}if(null!==l){var d=g(t.glplot.cameraParams,c.dataCoordinate);e=l.data;var m,v=c.index,x=h.castHoverinfo(e,t.fullLayout,v),b=x.split(\"+\"),_=\"all\"===x,w=p(\"xaxis\",c.traceCoordinate[0]),k=p(\"yaxis\",c.traceCoordinate[1]),M=p(\"zaxis\",c.traceCoordinate[2]);if(_||(-1===b.indexOf(\"x\")&&(w=void 0),-1===b.indexOf(\"y\")&&(k=void 0),-1===b.indexOf(\"z\")&&(M=void 0),-1===b.indexOf(\"text\")&&(c.textLabel=void 0),-1===b.indexOf(\"name\")&&(l.name=void 0)),\"cone\"===e.type||\"streamtube\"===e.type){var A=[];(_||-1!==b.indexOf(\"u\"))&&A.push(\"u: \"+p(\"xaxis\",c.traceCoordinate[3])),(_||-1!==b.indexOf(\"v\"))&&A.push(\"v: \"+p(\"yaxis\",c.traceCoordinate[4])),(_||-1!==b.indexOf(\"w\"))&&A.push(\"w: \"+p(\"zaxis\",c.traceCoordinate[5])),(_||-1!==b.indexOf(\"norm\"))&&A.push(\"norm: \"+c.traceCoordinate[6].toPrecision(3)),\"streamtube\"!==e.type||!_&&-1===b.indexOf(\"divergence\")||A.push(\"divergence: \"+c.traceCoordinate[7].toPrecision(3)),c.textLabel&&A.push(c.textLabel),m=A.join(\"<br>\")}else m=c.textLabel;t.fullSceneLayout.hovermode&&h.loneHover({x:(.5+.5*d[0]/d[3])*i,y:(.5-.5*d[1]/d[3])*a,xLabel:w,yLabel:k,zLabel:M,text:m,name:l.name,color:h.castHoverOption(e,v,\"bgcolor\")||l.color,borderColor:h.castHoverOption(e,v,\"bordercolor\"),fontFamily:h.castHoverOption(e,v,\"font.family\"),fontSize:h.castHoverOption(e,v,\"font.size\"),fontColor:h.castHoverOption(e,v,\"font.color\")},{container:r,gd:t.graphDiv});var T={x:c.traceCoordinate[0],y:c.traceCoordinate[1],z:c.traceCoordinate[2],data:e._input,fullData:e,curveNumber:e.index,pointNumber:v};e._module.eventData&&(T=e._module.eventData(T,c,e,{},v)),h.appendArrayPointValue(T,e,v);var S={points:[T]};c.buttons&&c.distance<5?t.graphDiv.emit(\"plotly_click\",S):t.graphDiv.emit(\"plotly_hover\",S),o=S}else h.loneUnhover(r),t.graphDiv.emit(\"plotly_unhover\",o);t.drawAnnotations(t)}.bind(null,t),t.traces={},!0}function b(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e[this.id]),this.spikeOptions=v(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=l.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=l.getComponentMethod(\"annotations3d\",\"draw\"),x(this)}var _=b.prototype;_.recoverContext=function(){var t=this,e=this.glplot.gl,r=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(function n(){e.isContextLost()?requestAnimationFrame(n):x(t,t.fullLayout,r,e)?t.plot.apply(t,t.plotArgs):c.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")})};var w=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=w[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],h=e[\"_\"+o+\"length\"];if(c.isArrayOrTypedArray(l))for(var f,p=0;p<(h||l.length);p++)if(c.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],h-1)}}function M(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]}}}_.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];c.bgcolor?this.glplot.clearColor=f(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&k(this,n,h);var p=[1,1,1];for(o=0;o<3;++o)h[0][o]>h[1][o]?p[o]=1:h[1][o]===h[0][o]?p[o]=1:p[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=p,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&((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 d=Object.keys(this.traces);t:for(a=0;a<d.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===d[a]&&!0===t[o].visible)continue t;(i=this.traces[d[a]]).dispose(),delete this.traces[d[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],m=[],v={};for(a=0;a<3;++a){if((l=(s=c[w[a]]).type)in v?(v[l].acc*=p[a],v[l].count+=1):v[l]={acc:p[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var y=this.glplot.objects,x=this.fullSceneLayout.annotations||[],b=s._name.charAt(0);for(o=0;o<y.length;o++){var _=y[o],M=_.bounds,A=_._trace.data._pad||0;g[0][a]=Math.min(g[0][a],M[0][a]/p[a]-A),g[1][a]=Math.max(g[1][a],M[1][a]/p[a]+A)}for(o=0;o<x.length;o++){var T=x[o];if(T.visible){var S=s.r2l(T[b]);g[0][a]=Math.min(g[0][a],S),g[1][a]=Math.max(g[1][a],S)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var E=g[1][a]-g[0][a];g[0][a]-=E/32,g[1][a]+=E/32}}else{var C=s.range;g[0][a]=s.r2l(C[0]),g[1][a]=s.r2l(C[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),m[a]=g[1][a]-g[0][a],this.glplot.bounds[0][a]=g[0][a]*p[a],this.glplot.bounds[1][a]=g[1][a]*p[a]}var L=[1,1,1];for(a=0;a<3;++a){var z=v[l=(s=c[w[a]]).type];L[a]=Math.pow(z.acc,1/z.count)/p[a]}var P;if(\"auto\"===c.aspectmode)P=Math.max.apply(null,L)/Math.min.apply(null,L)<=4?L:[1,1,1];else if(\"cube\"===c.aspectmode)P=[1,1,1];else if(\"data\"===c.aspectmode)P=L;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var I=c.aspectratio;P=[I.x,I.y,I.z]}c.aspectratio.x=u.aspectratio.x=P[0],c.aspectratio.y=u.aspectratio.y=P[1],c.aspectratio.z=u.aspectratio.z=P[2],this.glplot.aspect=P;var O=c.domain||null,D=e._size||null;if(O&&D){var R=this.container.style;R.position=\"absolute\",R.left=D.l+O.x[0]*D.w+\"px\",R.top=D.t+(1-O.y[1])*D.h+\"px\",R.width=D.w*(O.x[1]-O.x[0])+\"px\",R.height=D.h*(O.y[1]-O.y[0])+\"px\"}this.glplot.redraw()}},_.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=this.glplot.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},_.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),M(this.glplot.camera)},_.setCamera=function(t){var e;this.glplot.camera.lookAt.apply(this,[[(e=t).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]])},_.saveCamera=function(t){var e=this.getCamera(),r=c.nestedProperty(t,this.id+\".camera\"),n=r.get(),i=!1;function a(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}if(void 0===n)i=!0;else for(var o=0;o<3;o++)for(var s=0;s<3;s++)if(!a(e,n,o,s)){i=!0;break}return i&&r.set(e),i},_.updateFx=function(t,e){var r=this.camera;r&&(\"orbit\"===t?(r.mode=\"orbit\",r.keyBindingMode=\"rotate\"):\"turntable\"===t?(r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},_.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),f},_.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[w[t]];u.setConvert(e,this.fullLayout),e.setScale=c.noop}},e.exports=b},{\"../../components/fx\":600,\"../../lib\":684,\"../../lib/show_no_webgl_msg\":705,\"../../lib/str2rgbarray\":707,\"../../plots/cartesian/axes\":732,\"../../registry\":817,\"./camera\":773,\"./layout/convert\":778,\"./layout/spikes\":781,\"./layout/tick_marks\":782,\"./project\":783,\"gl-plot3d\":277,\"has-passive-events\":379,\"webgl-context\":521}],785:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],786:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/color/attributes\"),a=n({editType:\"calc\"});a.family.dflt='\"Open Sans\", verdana, arial, sans-serif',a.size.dflt=12,a.color.dflt=i.defaultLine,e.exports={font:a,title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"}),autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},paper_bgcolor:{valType:\"color\",dflt:i.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:i.background,editType:\"layoutstyle\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:i.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},template:{valType:\"any\",editType:\"calc\"}}},{\"../components/color/attributes\":557,\"./font_attributes\":758}],787:[function(t,e,r){\"use strict\";e.exports={requiredVersion:\"0.45.0\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@0.45.0.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",styleRules:{map:\"overflow:hidden;position:relative;\",\"missing-css\":\"display:none\"}}},{}],788:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=n.isArrayOrTypedArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,c=[\"\",\"\"],u=[0,0];switch(i){case\"top\":c[0]=\"top\",u[1]=-l;break;case\"bottom\":c[0]=\"bottom\",u[1]=l}switch(a){case\"left\":c[1]=\"right\",u[0]=-s;break;case\"right\":c[1]=\"left\",u[0]=s}return{anchor:c[0]&&c[1]?c.join(\"-\"):c[0]?c[0]:c[1]?c[1]:\"center\",offset:u}}},{\"../../lib\":684}],789:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl\"),i=t(\"../../lib\"),a=t(\"../../plots/get_data\").getSubplotCalcData,o=t(\"../../constants/xmlns_namespaces\"),s=t(\"./mapbox\"),l=t(\"./constants\");for(var c in l.styleRules)i.addStyleRule(\".mapboxgl-\"+c,l.styleRules[c]);r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,o=e._subplots.mapbox;if(n.version!==l.requiredVersion)throw new Error(l.wrongVersionErrorMsg);var c=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=0;n<e.length;n++){var i=r[e[n]];if(i.accesstoken)return i.accesstoken}throw new Error(l.noAccessTokenErrorMsg)}(t,o);n.accessToken=c;for(var u=0;u<o.length;u++){var h=o[u],f=a(r,\"mapbox\",h),p=e[h],d=p._subplot;d||(d=s({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=d),d.viewInitial||(d.viewInitial={center:i.extendFlat({},p.center),zoom:p.zoom,bearing:p.bearing,pitch:p.pitch}),d.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.mapbox||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._subplot&&n[o]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],s=a.domain,l=a._subplot,c=l.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":c,x:n.l+n.w*s.x[0],y:n.t+n.h*(1-s.y[1]),width:n.w*(s.x[1]-s.x[0]),height:n.h*(s.y[1]-s.y[0]),preserveAspectRatio:\"none\"}),l.destroy()}},r.updateFx=function(t){for(var e=t._subplots.mapbox,r=0;r<e.length;r++){t[e[r]]._subplot.updateFx(t)}}},{\"../../constants/xmlns_namespaces\":663,\"../../lib\":684,\"../../plots/get_data\":768,\"./constants\":787,\"./layout_attributes\":791,\"./layout_defaults\":792,\"./mapbox\":793,\"mapbox-gl\":393}],790:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./convert_text_opts\");function a(t,e){this.mapbox=t,this.map=t.map,this.uid=t.uid+\"-layer\"+e,this.idSource=this.uid+\"-source\",this.idLayer=this.uid+\"-layer\",this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var o=a.prototype;function s(t){var e=t.source;return t.visible&&(n.isPlainObject(e)||\"string\"==typeof e&&e.length>0)}function l(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var a=t.symbol,o=i(a.textposition,a.iconsize);n.extendFlat(e,{\"icon-image\":a.icon+\"-15\",\"icon-size\":a.iconsize/10,\"text-field\":a.text,\"text-size\":a.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":a.textfont.color,\"text-opacity\":t.opacity})}return{layout:e,paint:r}}o.update=function(t){this.visible?this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=s(t)},o.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},o.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==t.below},o.updateSource=function(t){var e=this.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,s(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,i={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r&&(e=\"string\"==typeof n?\"url\":\"tiles\");return i[e]=n,i}(t);e.addSource(this.idSource,r)}},o.updateLayer=function(t){var e=this.map,r=l(t);this.removeLayer(),this.layerType=t.type,s(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,layout:r.layout,paint:r.paint},t.below)},o.updateStyle=function(t){if(s(t)){var e=l(t);this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.mapbox.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},o.removeLayer=function(){var t=this.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},o.dispose=function(){var t=this.map;t.removeLayer(this.idLayer),t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new a(t,e);return n.update(r),n}},{\"../../lib\":684,\"./convert_text_opts\":788}],791:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=o({});u.family.dflt=\"Open Sans Regular, Arial Unicode MS Regular\",e.exports=l({_arrayAttrRegexps:[n.counterRegex(\"mapbox\",\".layers\",!0)],domain:a({name:\"mapbox\"}),accesstoken:{valType:\"string\",noBlank:!0,strict:!0},style:{valType:\"any\",values:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],dflt:\"basic\"},center:{lon:{valType:\"number\",dflt:0},lat:{valType:\"number\",dflt:0}},zoom:{valType:\"number\",dflt:1},bearing:{valType:\"number\",dflt:0},pitch:{valType:\"number\",dflt:0},layers:c(\"layer\",{visible:{valType:\"boolean\",dflt:!0},sourcetype:{valType:\"enumerated\",values:[\"geojson\",\"vector\"],dflt:\"geojson\"},source:{valType:\"any\"},sourcelayer:{valType:\"string\",dflt:\"\"},type:{valType:\"enumerated\",values:[\"circle\",\"line\",\"fill\",\"symbol\"],dflt:\"circle\"},below:{valType:\"string\",dflt:\"\"},color:{valType:\"color\",dflt:i},opacity:{valType:\"number\",min:0,max:1,dflt:1},circle:{radius:{valType:\"number\",dflt:15}},line:{width:{valType:\"number\",dflt:2}},fill:{outlinecolor:{valType:\"color\",dflt:i}},symbol:{icon:{valType:\"string\",dflt:\"marker\"},iconsize:{valType:\"number\",dflt:10},text:{valType:\"string\",dflt:\"\"},textfont:u,textposition:n.extendFlat({},s,{arrayOk:!1})}})},\"plot\",\"from-root\")},{\"../../components/color\":558,\"../../lib\":684,\"../../plot_api/edit_types\":715,\"../../plot_api/plot_template\":722,\"../../traces/scatter/attributes\":1015,\"../domain\":757,\"../font_attributes\":758}],792:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../subplot_defaults\"),a=t(\"../array_container_defaults\"),o=t(\"./layout_attributes\");function s(t,e,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\"),a(t,e,{name:\"layers\",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,i){return n.coerce(t,e,o.layers,r,i)}if(r(\"visible\")){var i=r(\"sourcetype\");r(\"source\"),\"vector\"===i&&r(\"sourcelayer\");var a=r(\"type\");r(\"below\"),r(\"color\"),r(\"opacity\"),\"circle\"===a&&r(\"circle.radius\"),\"line\"===a&&r(\"line.width\"),\"fill\"===a&&r(\"fill.outlinecolor\"),\"symbol\"===a&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),n.coerceFont(r,\"symbol.textfont\"),r(\"symbol.textposition\"))}}e.exports=function(t,e,r){i(t,e,r,{type:\"mapbox\",attributes:o,handleDefaults:s,partition:\"y\",accessToken:e._mapboxAccessToken})}},{\"../../lib\":684,\"../array_container_defaults\":728,\"../subplot_defaults\":809,\"./layout_attributes\":791}],793:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl\"),i=t(\"../../components/fx\"),a=t(\"../../lib\"),o=t(\"../../components/dragelement\"),s=t(\"../cartesian/select\").prepSelect,l=t(\"./constants\"),c=t(\"./layout_attributes\"),u=t(\"./layers\");function h(t){this.id=t.id,this.gd=t.gd,this.container=t.container,this.isStatic=t.staticPlot;var e=t.fullLayout;this.uid=e._uid+\"-\"+this.id,this.opts=e[this.id],this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(e),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[]}var f=h.prototype;function p(t){var e=c.style.values,r=c.style.dflt,n={};return a.isPlainObject(t)?(n.id=t.id,n.style=t):\"string\"==typeof t?(n.id=t,n.style=-1!==e.indexOf(t)?d(t):t):(n.id=r,n.style=d(r)),n.transition={duration:0,delay:0},n}function d(t){return l.styleUrlPrefix+t+\"-\"+l.styleUrlSuffix}function g(t){return[t.lon,t.lat]}e.exports=function(t){return new h(t)},f.plot=function(t,e,r){var n,i=this,a=i.opts=e[this.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash=[],i.layerList={}),n=i.map?new Promise(function(r,n){i.updateMap(t,e,r,n)}):new Promise(function(r,n){i.createMap(t,e,r,n)}),r.push(n)},f.createMap=function(t,e,r,a){var o=this,s=o.gd,c=o.opts,u=o.styleObj=p(c.style);o.accessToken=c.accesstoken;var h=o.map=new n.Map({container:o.div,style:u.style,center:g(c.center),zoom:c.zoom,bearing:c.bearing,pitch:c.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1}),f=l.controlContainerClassName,d=o.div.getElementsByClassName(f)[0];if(o.div.removeChild(d),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(a),h.once(\"load\",function(){o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)}),!o.isStatic){var m=!1;h.on(\"moveend\",function(t){if(o.map){var e=o.getView();c._input.center=c.center=e.center,c._input.zoom=c.zoom=e.zoom,c._input.bearing=c.bearing=e.bearing,c._input.pitch=c.pitch=e.pitch,(t.originalEvent||m)&&y(e),m=!1}}),h.on(\"wheel\",function(){m=!0}),h.on(\"mousemove\",function(t){var e=o.div.getBoundingClientRect();t.clientX=t.point.x+e.left,t.clientY=t.point.y+e.top,t.target.getBoundingClientRect=function(){return e},o.xaxis.p2c=function(){return t.lngLat.lng},o.yaxis.p2c=function(){return t.lngLat.lat},i.hover(s,t,o.id)}),h.on(\"click\",function(t){i.click(s,t.originalEvent)}),h.on(\"dragstart\",v),h.on(\"zoomstart\",v),h.on(\"dblclick\",function(){s.emit(\"plotly_doubleclick\",null);var t=o.viewInitial;h.setCenter(g(t.center)),h.setZoom(t.zoom),h.setBearing(t.bearing),h.setPitch(t.pitch);var e=o.getView();c._input.center=c.center=e.center,c._input.zoom=c.zoom=e.zoom,c._input.bearing=c.bearing=e.bearing,c._input.pitch=c.pitch=e.pitch,y(e)}),o.clearSelect=function(){s._fullLayout._zoomlayer.selectAll(\".select-outline\").remove()}}function v(){i.loneUnhover(e._toppaper)}function y(t){var e=o.id,r={};for(var n in t)r[e+\".\"+n]=t[n];s.emit(\"plotly_relayout\",r)}},f.updateMap=function(t,e,r,n){var i=this,a=i.map;i.rejectOnError(n);var o=p(i.opts.style);i.styleObj.id!==o.id?(i.styleObj=o,a.setStyle(o.style),a.once(\"styledata\",function(){i.traceHash={},i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})):(i.updateData(t),i.updateLayout(e),i.resolveOnRender(r))},f.updateData=function(t){var e,r,n,i,a=this.traceHash;for(n=0;n<t.length;n++){var o=t[n];(e=a[(r=o[0].trace).uid])?e.update(o):r._module&&(a[r.uid]=r._module.plot(this,o))}var s=Object.keys(a);t:for(n=0;n<s.length;n++){var l=s[n];for(i=0;i<t.length;i++)if(l===(r=t[i][0].trace).uid)continue t;(e=a[l]).dispose(),delete a[l]}},f.updateLayout=function(t){var e=this.map,r=this.opts;e.setCenter(g(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch),this.updateLayers(),this.updateFramework(t),this.updateFx(t),this.map.resize()},f.resolveOnRender=function(t){var e=this.map;e.on(\"render\",function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,0))})},f.rejectOnError=function(t){var e=this.map;function r(){t(new 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o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,a=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var a=i({},e.elements[r]);return a.name=t,a.color=[].concat(e.elements[r].color)[n],a})}),o=n.merge(a);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof 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y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,i,a,o=t.symbol;return a=3*(i=c),\"line\"===(r=o)?\"M\"+[[-i/2,-i/12],[i/2,-i/12],[i/2,i/12],[-i/2,i/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(a)():n.svg.symbol().type(\"square\").size(a)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(i(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,a={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=a.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:a.padding+l,dy:.3*+a.fontSize}),c};return c.text=function(i){var o=n.hsl(a.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=i||\"\";e.style({fill:u,\"font-size\":a.fontSize+\"px\"}).text(h);var f=a.padding,p=e.node().getBBox(),d={fill:a.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;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*f]+\")\"}),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 n=i({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n}),!e&&t.layout&&\"stack\"===t.layout.barmode)){var a=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=a.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var 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 s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":656,\"../../../lib\":684,d3:147}],805:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=i.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,i,a,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,i||(i=o.Axis()),a=o.adapter.plotly().convert(e),i.config(a).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return i.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return 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n=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat;e.exports={title:n.title,titlefont:n.titlefont,color:n.color,tickmode:n.tickmode,nticks:i({},n.nticks,{dflt:6,min:1}),tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:n.ticks,ticklen:n.ticklen,tickwidth:n.tickwidth,tickcolor:n.tickcolor,showticklabels:n.showticklabels,showtickprefix:n.showtickprefix,tickprefix:n.tickprefix,showticksuffix:n.showticksuffix,ticksuffix:n.ticksuffix,showexponent:n.showexponent,exponentformat:n.exponentformat,separatethousands:n.separatethousands,tickfont:n.tickfont,tickangle:n.tickangle,tickformat:n.tickformat,tickformatstops:n.tickformatstops,hoverformat:n.hoverformat,showline:i({},n.showline,{dflt:!0}),linecolor:n.linecolor,linewidth:n.linewidth,showgrid:i({},n.showgrid,{dflt:!0}),gridcolor:n.gridcolor,gridwidth:n.gridwidth,layer:n.layer,min:{valType:\"number\",dflt:0,min:0}}},{\"../../../lib/extend\":673,\"../../cartesian/layout_attributes\":744}],813:[function(t,e,r){\"use 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o,c,u,h=r(\"bgcolor\"),f=r(\"sum\");a.bgColor=n.combine(h,a.paper_bgcolor);for(var p=0;p<l.length;p++)c=t[o=l[p]]||{},(u=i.newContainer(e,o))._name=o,s(c,u,a);var d=e.aaxis,g=e.baxis,m=e.caxis;d.min+g.min+m.min>=f&&(d.min=0,g.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}e.exports=function(t,e,r){a(t,e,r,{type:\"ternary\",attributes:o,handleDefaults:c,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{\"../../../components/color\":558,\"../../../plot_api/plot_template\":722,\"../../subplot_defaults\":809,\"./axis_defaults\":813,\"./layout_attributes\":815}],815:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color/attributes\"),i=t(\"../../domain\").attributes,a=t(\"./axis_attributes\"),o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:a,baxis:a,caxis:a},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":557,\"../../../plot_api/edit_types\":715,\"../../domain\":757,\"./axis_attributes\":812}],816:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/titles\"),v=t(\"../cartesian/select\").prepSelect,y=t(\"../cartesian/select\").clearSelect,x=t(\"../cartesian/constants\");function b(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e)}e.exports=b;var _=b.prototype;_.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},_.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),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},_.makeFramework=function(t){var e=t[this.id],r=this.clipId=\"clip\"+this.layoutId+this.id,n=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",r,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",n,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(e),c.setClipUrl(this.layers.backplot,r),c.setClipUrl(this.layers.grids,r)},_.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above 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r,n,i,a,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,m=p.x[1]-p.x[0],v=p.y[1]-p.y[0],y=m*e.w,x=v*e.h,b=t.sum,_=t.aaxis.min,k=t.baxis.min,M=t.caxis.min;y>w*x?i=(a=x)*w:a=(i=y)/w,o=m*i/y,s=v*a/x,r=e.l+e.w*d-i/2,n=e.t+e.h*(1-g)-a/2,f.x0=r,f.y0=n,f.w=i,f.h=a,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*M-b,b-_-2*k],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-k-M],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&n(t,e,a,r,{prefix:\"\",cLetter:\"z\"}),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":568,\"./label_defaults\":911}],918:[function(t,e,r){\"use strict\";var 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n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.colorbar={container:\"line\",min:\"cmin\",max:\"cmax\"},n.moduleType=\"trace\",n.name=\"parcoords\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"gl\",\"regl\",\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":979,\"./base_plot\":981,\"./calc\":982,\"./defaults\":984,\"./plot\":989}],986:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\nuniform sampler2D mask;\\nuniform float maskHeight;\\n\\nuniform vec2 colorClamp;\\n\\nvarying vec4 fragColor;\\n\\nvec4 unit_1 = vec4(1, 1, 1, 1);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit_1, unit_1);\\n}\\n\\nfloat axisY(\\n        float x,\\n        mat4 d[4],\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float y1 = val(d[0], dim1A) + val(d[1], dim1B) + val(d[2], dim1C) + val(d[3], dim1D);\\n    float y2 = val(d[0], dim2A) + val(d[1], dim2B) + val(d[2], dim2C) + val(d[3], dim2D);\\n    return y1 * (1.0 - x) + y2 * x;\\n}\\n\\nconst int bitsPerByte = 8;\\n\\nint mod2(int a) {\\n    return a - 2 * (a / 2);\\n}\\n\\nint mod8(int a) {\\n    return a - 8 * (a / 8);\\n}\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit_0 = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nbool withinBoundingBox(\\n        mat4 d[4],\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD\\n    ) {\\n\\n    return mshow(d[0], loA, hiA) &&\\n           mshow(d[1], loB, hiB) &&\\n           mshow(d[2], loC, hiC) &&\\n           mshow(d[3], loD, hiD);\\n}\\n\\nbool withinRasterMask(mat4 d[4], sampler2D mask, float height) {\\n    bool result = true;\\n    int bitInByteStepper;\\n    float valY, valueY, scaleX;\\n    int hit, bitmask, valX;\\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                bitInByteStepper = mod8(j * 4 + k);\\n                valX = i * 2 + j / 2;\\n                valY = d[i][j][k];\\n                valueY = valY * (height - 1.0) + 0.5;\\n                scaleX = (float(valX) + 0.5) / 8.0;\\n                hit = int(texture2D(mask, vec2(scaleX, (valueY + 0.5) / height))[3] * 255.0) / int(pow(2.0, float(bitInByteStepper)));\\n                result = result && mod2(hit) == 1;\\n            }\\n        }\\n    }\\n    return result;\\n}\\n\\nvec4 position(\\n        float depth,\\n        vec2 resolution, vec2 viewBoxPosition, vec2 viewBoxSize,\\n        mat4 dims[4],\\n        float signum,\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D,\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD,\\n        sampler2D mask, float maskHeight\\n    ) {\\n\\n    float x = 0.5 * signum + 0.5;\\n    float y = axisY(x, dims, dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D);\\n\\n    float show = float(\\n                            withinBoundingBox(dims, loA, hiA, loB, hiB, loC, hiC, loD, hiD)\\n                         && withinRasterMask(dims, mask, maskHeight)\\n                      );\\n\\n    vec2 viewBoxXY = viewBoxPosition + viewBoxSize * vec2(x, y);\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    return vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n\\n    float prominence = abs(pf[3]);\\n\\n    mat4 p[4];\\n    p[0] = mat4(p0, p1, p2, p3);\\n    p[1] = mat4(p4, p5, p6, p7);\\n    p[2] = mat4(p8, p9, pa, pb);\\n    p[3] = mat4(pc, pd, pe, abs(pf));\\n\\n    gl_Position = position(\\n        1.0 - prominence,\\n        resolution, viewBoxPosition, viewBoxSize,\\n        p,\\n        sign(pf[3]),\\n        dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n        loA, hiA, loB, hiB, loC, hiC, loD, hiD,\\n        mask, maskHeight\\n    );\\n\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nvarying vec4 fragColor;\\n\\nvec2 xyProjection = vec2(1, 1);\\n\\nvec4 unit = vec4(1, 1, 1, 1);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nfloat axisY(\\n        float x,\\n        mat4 d[4],\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float y1 = val(d[0], dim1A) + val(d[1], dim1B) + val(d[2], dim1C) + val(d[3], dim1D);\\n    float y2 = val(d[0], dim2A) + val(d[1], dim2B) + val(d[2], dim2C) + val(d[3], dim2D);\\n    return y1 * (1.0 - x) + y2 * x;\\n}\\n\\nvec4 position(\\n        float depth,\\n        vec2 resolution, vec2 viewBoxPosition, vec2 viewBoxSize,\\n        mat4 dims[4],\\n        float signum,\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float x = 0.5 * signum + 0.5;\\n    float y = axisY(x, dims, dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D);\\n\\n    vec2 viewBoxXY = viewBoxPosition + viewBoxSize * vec2(x, y);\\n\\n    return vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depth,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n\\n    float prominence = abs(pf[3]);\\n\\n    mat4 p[4];\\n    p[0] = mat4(p0, p1, p2, p3);\\n    p[1] = mat4(p4, p5, p6, p7);\\n    p[2] = mat4(p8, p9, pa, pb);\\n    p[3] = mat4(pc, pd, pe, abs(pf));\\n\\n    gl_Position = position(\\n        1.0 - prominence,\\n        resolution, viewBoxPosition, viewBoxSize,\\n        p,\\n        sign(pf[3]),\\n        dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D\\n    );\\n\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D mask;\\nuniform float maskHeight;\\n\\nuniform vec2 colorClamp;\\n\\nvarying vec4 fragColor;\\n\\nvec4 unit_1 = vec4(1, 1, 1, 1);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit_1, unit_1);\\n}\\n\\nfloat axisY(\\n        float x,\\n        mat4 d[4],\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float y1 = val(d[0], dim1A) + val(d[1], dim1B) + val(d[2], dim1C) + val(d[3], dim1D);\\n    float y2 = val(d[0], dim2A) + val(d[1], dim2B) + val(d[2], dim2C) + val(d[3], dim2D);\\n    return y1 * (1.0 - x) + y2 * x;\\n}\\n\\nconst int bitsPerByte = 8;\\n\\nint mod2(int a) {\\n    return a - 2 * (a / 2);\\n}\\n\\nint mod8(int a) {\\n    return a - 8 * (a / 8);\\n}\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit_0 = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nbool withinBoundingBox(\\n        mat4 d[4],\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD\\n    ) {\\n\\n    return mshow(d[0], loA, hiA) &&\\n           mshow(d[1], loB, hiB) &&\\n           mshow(d[2], loC, hiC) &&\\n           mshow(d[3], loD, hiD);\\n}\\n\\nbool withinRasterMask(mat4 d[4], sampler2D mask, float height) {\\n    bool result = true;\\n    int bitInByteStepper;\\n    float valY, valueY, scaleX;\\n    int hit, bitmask, valX;\\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                bitInByteStepper = mod8(j * 4 + k);\\n                valX = i * 2 + j / 2;\\n                valY = d[i][j][k];\\n                valueY = valY * (height - 1.0) + 0.5;\\n                scaleX = (float(valX) + 0.5) / 8.0;\\n                hit = int(texture2D(mask, vec2(scaleX, (valueY + 0.5) / height))[3] * 255.0) / int(pow(2.0, float(bitInByteStepper)));\\n                result = result && mod2(hit) == 1;\\n            }\\n        }\\n    }\\n    return result;\\n}\\n\\nvec4 position(\\n        float depth,\\n        vec2 resolution, vec2 viewBoxPosition, vec2 viewBoxSize,\\n        mat4 dims[4],\\n        float signum,\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D,\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD,\\n        sampler2D mask, float maskHeight\\n    ) {\\n\\n    float x = 0.5 * signum + 0.5;\\n    float y = axisY(x, dims, dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D);\\n\\n    float show = float(\\n                            withinBoundingBox(dims, loA, hiA, loB, hiB, loC, hiC, loD, hiD)\\n                         && withinRasterMask(dims, mask, maskHeight)\\n                      );\\n\\n    vec2 viewBoxXY = viewBoxPosition + viewBoxSize * vec2(x, y);\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    return vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n\\n    float prominence = abs(pf[3]);\\n\\n    mat4 p[4];\\n    p[0] = mat4(p0, p1, p2, p3);\\n    p[1] = mat4(p4, p5, p6, p7);\\n    p[2] = mat4(p8, p9, pa, pb);\\n    p[3] = mat4(pc, pd, pe, abs(pf));\\n\\n    gl_Position = position(\\n        1.0 - prominence,\\n        resolution, viewBoxPosition, viewBoxSize,\\n        p,\\n        sign(pf[3]),\\n        dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n        loA, hiA, loB, hiB, loC, hiC, loD, hiD,\\n        mask, maskHeight\\n    );\\n\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\"]),s=n([\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),l=t(\"../../lib\"),c=1e-6,u=1e-7,h=2048,f=64,p=2,d=4,g=8,m=f/g,v=[119,119,119],y=new Uint8Array(4),x=new Uint8Array(4),b={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function _(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 w(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:y})}(t),r.drawCompleted=!0),function s(l){var c;c=Math.min(n,i-l*n),a.offset=p*l*n,a.count=p*c,0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],_(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}(0)}function k(t,e){return(t>>>8*e)%256/255}function M(t,e,r){var n,i,a,o=[];for(i=0;i<t;i++)for(a=0;a<p;a++)for(n=0;n<d;n++)o.push(e[i*f+r*d+n]),r*d+n===f-1&&a%2==0&&(o[o.length-1]*=-1);return o}e.exports=function(t,e){var r,n,p,d,y,A=e.context,T=e.pick,S=e.regl,E={currentRafs:{},drawCompleted:!0,clearOnly:!1},C=function(t){for(var e={},r=0;r<16;r++)e[\"p\"+r.toString(16)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new 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P(t){r=t.model,n=t.viewModel,p=n.dimensions.slice(),d=p[0]?p[0].values.length:0;var e=r.lines,i=T?e.color.map(function(t,r){return r/e.color.length}):e.color,a=Math.max(1/255,Math.pow(1/i.length,1/3)),o=function(t,e,r){for(var n,i=e.length,a=[],o=0;o<t;o++)for(var s=0;s<f;s++)a.push(s<i?e[s].paddedUnitValues[o]:s===f-1?(n=r[o],Math.max(c,Math.min(1-c,n))):s>=f-4?k(o,f-2-s):.5);return a}(d,p,i);!function(t,e,r){for(var n=0;n<16;n++)t[\"p\"+n.toString(16)](M(e,r,n))}(C,d,o),L=S.texture(l.extendFlat({data:function(t,e,r){for(var n=[],i=0;i<256;i++){var a=t(i/255);n.push((e?v:a).concat(r))}return n}(r.unitToColor,A,Math.round(255*(A?a:1)))},b))}var I=[0,1];var O=[];function D(t,e,n,i,a,o,s,c,u,h,f){var p,d,g,m,v=[t,e],y=[0,1].map(function(){return[0,1,2,3].map(function(){return new Float32Array(16)})});for(p=0;p<2;p++)for(m=v[p],d=0;d<4;d++)for(g=0;g<16;g++)y[p][d][g]=g+16*d===m?1:0;var x=r.lines.canvasOverdrag,b=r.domain,_=r.canvasWidth,w=r.canvasHeight;return l.extendFlat({key:s,resolution:[_,w],viewBoxPosition:[n+x,i],viewBoxSize:[a,o],i:t,ii:e,dim1A:y[0][0],dim1B:y[0][1],dim1C:y[0][2],dim1D:y[0][3],dim2A:y[1][0],dim2B:y[1][1],dim2C:y[1][2],dim2D:y[1][3],colorClamp:I,scissorX:(c===u?0:n+x)+(r.pad.l-x)+r.layoutWidth*b.x[0],scissorWidth:(c===h?_-n+x:a+.5)+(c===u?n+x:0),scissorY:i+r.pad.b+r.layoutHeight*b.y[0],scissorHeight:o,viewportX:r.pad.l-x+r.layoutWidth*b.x[0],viewportY:r.pad.b+r.layoutHeight*b.y[0],viewportWidth:_,viewportHeight:w},f)}return{setColorDomain:function(t){I[0]=t[0],I[1]=t[1]},render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim2.canvasX>c&&(c=t[i].dim2.canvasX,o=i),t[i].dim1.canvasX<l&&(l=t[i].dim1.canvasX,a=i);0===s&&_(S,0,0,r.canvasWidth,r.canvasHeight);var f=A?{}:function(){var t,e,r,n=[0,1].map(function(){return[0,1,2,3].map(function(){return new Float32Array(16)})});for(t=0;t<2;t++)for(e=0;e<4;e++)for(r=0;r<16;r++){var i,a=r+16*e;i=a<p.length?p[a].brush.filter.getBounds()[t]:t,n[t][e][r]=i+(2*t-1)*u}function o(t,e){var r=h-1;return[Math.max(0,Math.floor(e[0]*r)),Math.min(r,Math.ceil(e[1]*r))]}for(var s=Array.apply(null,new Array(h*m)).map(function(){return 255}),l=0;l<p.length;l++){var c=l%g,f=(l-c)/g,d=Math.pow(2,c),v=p[l],x=v.brush.filter.get();if(!(x.length<2))for(var b=o(0,x[0])[1],_=1;_<x.length;_++){for(var w=o(0,x[_]),k=b+1;k<w[0];k++)s[k*m+f]&=~d;b=Math.max(b,w[1])}}var M={shape:[m,h],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:s};return y?y(M):y=S.texture(M),{maskTexture:y,maskHeight:h,loA:n[0][0],loB:n[0][1],loC:n[0][2],loD:n[0][3],hiA:n[1][0],hiB:n[1][1],hiC:n[1][2],hiD:n[1][3]}}();for(i=0;i<s;i++){var v=t[i],x=v.dim1,b=x.crossfilterDimensionIndex,k=v.canvasX,M=v.canvasY,T=v.dim2.crossfilterDimensionIndex,C=v.panelSizeX,L=v.panelSizeY,P=k+C;if(e||!O[b]||O[b][0]!==k||O[b][1]!==P){O[b]=[k,P];var I=D(b,T,k,M,C,L,x.crossfilterDimensionIndex,i,a,o,f);E.clearOnly=n,w(S,z,E,e?r.lines.blockLineCount:d,d,I)}}},readPixel:function(t,e){return S.read({x:t,y:e,width:1,height:1,data:x}),x},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return S.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),y&&y.destroy(),C)C[e].destroy()},update:P}}},{\"../../lib\":684,glslify:377}],987:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],988:[function(t,e,r){\"use strict\";var n=t(\"./lines\"),i=t(\"./constants\"),a=t(\"../../lib\"),o=t(\"d3\"),s=t(\"../../components/drawing\"),l=t(\"../../lib/gup\"),c=l.keyFun,u=l.repeat,h=l.unwrap,f=t(\"./axisbrush\");function p(t){return!(\"visible\"in t)||t.visible}function d(t){var e=t.range?t.range[0]:a.aggNums(Math.min,null,t.values,t._length),r=t.range?t.range[1]:a.aggNums(Math.max,null,t.values,t._length);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function g(t){return t.dimensions.some(function(t){return t.brush.filterSpecified})}function m(t,e,r){var n=h(e),s=n.trace,l=n.lineColor,c=n.cscale,u=s.line,f=s.domain,g=s.dimensions,m=t.width,v=s.labelfont,y=s.tickfont,x=s.rangefont,b=a.extendDeepNoArrays({},u,{color:l.map(o.scale.linear().domain(d({values:l,range:[u.cmin,u.cmax],_length:s._length}))),blockLineCount:i.blockLineCount,canvasOverdrag:i.overdrag*i.canvasPixelRatio}),_=Math.floor(m*(f.x[1]-f.x[0])),w=Math.floor(t.height*(f.y[1]-f.y[0])),k=t.margin||{l:80,r:80,t:100,b:80},M=_,A=w;return{key:r,colCount:g.filter(p).length,dimensions:g,tickDistance:i.tickDistance,unitToColor:function(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return 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b=n.label+(x?\"__\"+x:\"\"),_=n.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map(function(t){return t.map(p)}):[[0,1]],M=n.values;M.length>n._length&&(M=M.slice(0,n._length));var A,T=n.tickvals;function S(t,e){return{val:t,text:A[e]}}function E(t,e){return t.val-e.val}if(Array.isArray(T)&&T.length){A=n.ticktext,Array.isArray(A)&&A.length?A.length>T.length?A=A.slice(0,T.length):T.length>A.length&&(T=T.slice(0,A.length)):A=T.map(o.format(n.tickformat));for(var C=1;C<T.length;C++)if(T[C]<T[C-1]){for(var L=T.map(S).sort(E),z=0;z<T.length;z++)T[z]=L[z].val,A[z]=L[z].text;break}}else T=void 0;return{key:b,label:n.label,tickFormat:n.tickformat,tickvals:T,ticktext:A,ordinal:!!T,multiselect:n.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:n._index,height:s,values:M,paddedUnitValues:M.map(p),unitTickvals:T&&T.map(p),xScale:u,x:u(l),canvasX:u(l)*c,unitToPaddedPx:m,domainScale:function(t,e,r,n,i){var a,s,l=d(r);return n?o.scale.ordinal().domain(n.map((a=o.format(r.tickformat),s=i,s?function(t,e){var r=s[e];return null==r?a(t):r}:a))).range(n.map(function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)})):o.scale.linear().domain(l).range([t-e,e])}(s,i.verticalPadding,n,T,A),ordinalScale:function(t){if(t.tickvals){var e=d(t);return o.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}}(n),parent:v,model:r,brush:f.makeBrush(t,w,k,function(){t.linePickActive(!1)},function(){var e=v;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=g(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))},function(r){var i=v;if(i.focusLayer.render(i.panels,!0),i.pickLayer&&i.pickLayer.render(i.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var o=p.invert,s=r.map(function(t){return t.map(o).sort(a.sorterAsc)}).sort(function(t,e){return t[0]-e[0]});e.filterChanged(i.key,n._index,s)}})}}),v}function y(t){t.classed(i.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}e.exports=function(t,e,r,l,p,d){var x,b,_=(x=!0,b=!1,{linePickActive:function(t){return arguments.length?x=!!t:x},contextShown:function(t){return arguments.length?b=!!t:b}}),w=l.filter(function(t){return h(t).trace.visible}).map(m.bind(0,p)).map(v.bind(0,_,d));r.each(function(t,e){return a.extendFlat(t,w[e])});var k=r.selectAll(\".gl-canvas\").each(function(t){t.viewModel=w[0],t.model=t.viewModel?t.viewModel.model:null}),M=null;k.filter(function(t){return t.pick}).style(\"pointer-events\",\"auto\").on(\"mousemove\",function(t){if(_.linePickActive()&&t.lineLayer&&d&&d.hover){var e=o.event,r=this.width,n=this.height,i=o.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),c=0!==l[3],u=c?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:u};u!==M&&(c?d.hover(h):d.unhover&&d.unhover(h),M=u)}}),k.style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var A=e.selectAll(\".\"+i.cn.parcoords).data(w,c);A.exit().remove(),A.enter().append(\"g\").classed(i.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),A.attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var T=A.selectAll(\".\"+i.cn.parcoordsControlView).data(u,c);T.enter().append(\"g\").classed(i.cn.parcoordsControlView,!0),T.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var S=T.selectAll(\".\"+i.cn.yAxis).data(function(t){return t.dimensions},c);function E(t,e){for(var r=e.panels||(e.panels=[]),n=t.data(),i=n.length-1,a=0;a<i;a++){var o=r[a]||(r[a]={}),s=n[a],l=n[a+1];o.dim1=s,o.dim2=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0}}S.enter().append(\"g\").classed(i.cn.yAxis,!0),T.each(function(t){E(S,t)}),k.each(function(t){t.viewModel&&(t.lineLayer?t.lineLayer.update(t):t.lineLayer=n(this,t),t.viewModel[t.key]=t.lineLayer,t.lineLayer.render(t.viewModel.panels,!t.context))}),S.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),S.call(o.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;_.linePickActive(!1),t.x=Math.max(-i.overdrag,Math.min(t.model.width+i.overdrag,o.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,S.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),E(S,e),S.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),o.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),S.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLayer&&e.contextLayer.render(e.panels,!1,!g(e)),e.focusLayer.render&&e.focusLayer.render(e.panels)}).on(\"dragend\",function(t){var e=t.parent;t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,E(S,e),o.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLayer&&e.contextLayer.render(e.panels,!1,!g(e)),e.focusLayer&&e.focusLayer.render(e.panels),e.pickLayer&&e.pickLayer.render(e.panels,!0),_.linePickActive(!0),d&&d.axesMoved&&d.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),S.exit().remove();var C=S.selectAll(\".\"+i.cn.axisOverlays).data(u,c);C.enter().append(\"g\").classed(i.cn.axisOverlays,!0),C.selectAll(\".\"+i.cn.axis).remove();var L=C.selectAll(\".\"+i.cn.axis).data(u,c);L.enter().append(\"g\").classed(i.cn.axis,!0),L.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain();o.select(this).call(o.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n:null).tickFormat(t.ordinal?function(t){return t}:null).scale(r)),s.font(L.selectAll(\"text\"),t.model.tickFont)}),L.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),L.selectAll(\"text\").style(\"text-shadow\",\"1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff\").style(\"cursor\",\"default\").style(\"user-select\",\"none\");var z=C.selectAll(\".\"+i.cn.axisHeading).data(u,c);z.enter().append(\"g\").classed(i.cn.axisHeading,!0);var P=z.selectAll(\".\"+i.cn.axisTitle).data(u,c);P.enter().append(\"text\").classed(i.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"user-select\",\"none\").style(\"pointer-events\",\"auto\"),P.attr(\"transform\",\"translate(0,\"+-i.axisTitleOffset+\")\").text(function(t){return t.label}).each(function(t){s.font(o.select(this),t.model.labelFont)});var I=C.selectAll(\".\"+i.cn.axisExtent).data(u,c);I.enter().append(\"g\").classed(i.cn.axisExtent,!0);var O=I.selectAll(\".\"+i.cn.axisExtentTop).data(u,c);O.enter().append(\"g\").classed(i.cn.axisExtentTop,!0),O.attr(\"transform\",\"translate(0,\"+-i.axisExtentOffset+\")\");var D=O.selectAll(\".\"+i.cn.axisExtentTopText).data(u,c);function R(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain();return o.format(t.tickFormat)(r[e?r.length-1:0])}D.enter().append(\"text\").classed(i.cn.axisExtentTopText,!0).call(y),D.text(function(t){return R(t,!0)}).each(function(t){s.font(o.select(this),t.model.rangeFont)});var B=I.selectAll(\".\"+i.cn.axisExtentBottom).data(u,c);B.enter().append(\"g\").classed(i.cn.axisExtentBottom,!0),B.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+i.axisExtentOffset)+\")\"});var F=B.selectAll(\".\"+i.cn.axisExtentBottomText).data(u,c);F.enter().append(\"text\").classed(i.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(y),F.text(function(t){return R(t)}).each(function(t){s.font(o.select(this),t.model.rangeFont)}),f.ensureAxisBrush(C)}},{\"../../components/drawing\":583,\"../../lib\":684,\"../../lib/gup\":681,\"./axisbrush\":980,\"./constants\":983,\"./lines\":986,d3:147}],989:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\");e.exports=function(t,e){var r=t._fullLayout,a=r._toppaper,o=r._paperdiv,s=r._glcontainer;if(i(t)){var 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n=t(\"../../components/color/attributes\"),i=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=i({editType:\"calc\",colorEditType:\"style\"});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:n.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:\"calc\"},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:s({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"calc\"},textfont:s({},l,{}),insidetextfont:s({},l,{}),outsidetextfont:s({},l,{}),domain:o({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\"}}},{\"../../components/color/attributes\":557,\"../../lib/extend\":673,\"../../plots/attributes\":729,\"../../plots/domain\":757,\"../../plots/font_attributes\":758}],991:[function(t,e,r){\"use 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n=t(\"d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/color\"),o=t(\"../../components/drawing\"),s=t(\"../../lib\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"./helpers\"),u=t(\"./event_data\");function h(t,e){if(t.v===e.vTotal&&!e.trace.hole)return 1;var r=Math.PI*Math.min(t.v/e.vTotal,.5);return Math.min(1/(1+1/Math.sin(r)),(1-e.trace.hole)/2)}function f(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}}e.exports=function(t,e){var r=t._fullLayout;!function(t,e){var 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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,a,o,s,l=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,u=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,p=this.bounds;if(u){if(n=u,e=u.length>>>1,h)p[0]=t.xbounds[0],p[2]=t.xbounds[1],p[1]=t.ybounds[0],p[3]=t.ybounds[1];else for(s=0;s<e;s++)a=n[2*s],o=n[2*s+1],a<p[0]&&(p[0]=a),a>p[2]&&(p[2]=a),o<p[1]&&(p[1]=o),o>p[3]&&(p[3]=o);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r.update(e),r}},{\"../../lib/str2rgbarray\":707,\"../../plots/cartesian/autorange\":731,\"../scatter/get_trace_color\":1024,\"gl-pointcloud2d\":279}],1004:[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\":684,\"./attributes\":1002}],1005:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl\",\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":771,\"../scatter3d/calc\":1041,\"./attributes\":1002,\"./convert\":1003,\"./defaults\":1004}],1006:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;e.exports=c({hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),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({}),node:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20}},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]}}},\"calc\",\"nested\")},{\"../../components/color/attributes\":557,\"../../components/fx/attributes\":592,\"../../lib/extend\":673,\"../../plot_api/edit_types\":715,\"../../plots/attributes\":729,\"../../plots/domain\":757,\"../../plots/font_attributes\":758}],1007:[function(t,e,r){\"use 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t.length>1})}(e.node.label,e.link.source,e.link.target)&&(i.error(\"Circularity is present in the Sankey data. 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n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color\"),o=t(\"tinycolor2\"),s=t(\"../../plots/domain\").defaults;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}c(\"node.label\"),c(\"node.pad\"),c(\"node.thickness\"),c(\"node.line.color\"),c(\"node.line.width\");var u=l.colorway;c(\"node.color\",e.node.label.map(function(t,e){return a.addOpacity(function(t){return u[t%u.length]}(e),.8)})),c(\"link.label\"),c(\"link.source\"),c(\"link.target\"),c(\"link.value\"),c(\"link.line.color\"),c(\"link.line.width\"),c(\"link.color\",e.link.value.map(function(){return o(l.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\"})),s(e,l,c),c(\"orientation\"),c(\"valueformat\"),c(\"valuesuffix\"),c(\"arrangement\"),n.coerceFont(c,\"textfont\",n.extendFlat({},l.font)),e._length=null}},{\"../../components/color\":558,\"../../lib\":684,\"../../plots/domain\":757,\"./attributes\":1006,tinycolor2:499}],1011:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.moduleType=\"trace\",n.name=\"sankey\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":1006,\"./base_plot\":1007,\"./calc\":1008,\"./defaults\":1010,\"./plot\":1012}],1012:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"./render\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../lib\"),l=t(\"./constants\").cn,c=s._;function u(t){return\"\"!==t}function h(t,e){return t.filter(function(t){return t.key===e.traceId})}function f(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function p(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function d(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function m(t,e,r){e&&r&&h(r,e).selectAll(\".\"+l.sankeyLink).filter(d(e)).call(y.bind(0,e,r,!1))}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+l.sankeyLink).filter(d(e)).call(x.bind(0,e,r,!1))}function y(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",.4),i&&h(e,t).selectAll(\".\"+l.sankeyLink).filter(function(t){return t.link.label===i}).style(\"fill-opacity\",.4),r&&h(e,t).selectAll(\".\"+l.sankeyNode).filter(g(t)).call(m)}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),i&&h(e,t).selectAll(\".\"+l.sankeyLink).filter(function(t){return t.link.label===i}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),r&&h(e,t).selectAll(l.sankeyNode).filter(g(t)).call(v)}function b(t,e){var r=t.hoverlabel||{},n=s.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){var r=t._fullLayout,s=r._paper,h=r._size,d=c(t,\"source:\")+\" \",g=c(t,\"target:\")+\" \",_=c(t,\"incoming flow count:\")+\" \",w=c(t,\"outgoing flow count:\")+\" \";i(s,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){n.select(e).call(y.bind(0,r,i,!0)),t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})},follow:function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=e.getBoundingClientRect(),h=c.left+c.width/2,m=c.top+c.height/2,v=a.loneHover({x:h-l.left,y:m-l.top,name:n.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||\"\",d+i.link.source.label,g+i.link.target.label].filter(u).join(\"<br>\"),color:b(s,\"bgcolor\")||o.addOpacity(i.tinyColorHue,1),borderColor:b(s,\"bordercolor\"),fontFamily:b(s,\"font.family\"),fontSize:b(s,\"font.size\"),fontColor:b(s,\"font.color\"),idealAlign:n.event.x<h?\"right\":\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(v,.65),p(v)},unhover:function(e,i,o){n.select(e).call(x.bind(0,i,o,!0)),t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]}),a.loneUnhover(r._hoverlayer.node())},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],a.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){n.select(e).call(m,r,i),t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})},follow:function(e,i){var o=i.node.trace,s=n.select(e).select(\".\"+l.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=s.node().getBoundingClientRect(),d=h.left-2-c.left,g=h.right+2-c.left,m=h.top+h.height/4-c.top,v=a.loneHover({x0:d,x1:g,y:m,name:n.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,_+i.node.targetLinks.length,w+i.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||i.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),idealAlign:\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(v,.85),p(v)},unhover:function(e,i,o){n.select(e).call(v,i,o),t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]}),a.loneUnhover(r._hoverlayer.node())},select:function(e,r,i){var 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z=c.value[i],P=c.source[i],I=c.target[i];z>0&&f(P,L)&&f(I,L)&&(I=+I,C[P=+P]=C[I]=!0,S.push({pointNumber:i,label:c.label[i],color:E?c.color[i]:c.color,source:P,target:I,value:+z}))}var O=h(s.color),D=[],R=!1,B={};for(i=0;i<L;i++)if(C[i]){var F=s.label[i];B[i]=D.length,D.push({pointNumber:i,label:F,color:O?s.color[i]:s.color})}else R=!0;if(R)for(i=0;i<S.length;i++)S[i].source=B[S[i].source],S[i].target=B[S[i].target];for(var N,j=l().size(p?[A,T]:[T,A]).nodeWidth(g).nodePadding(d).nodes(D).links(S).layout(n.sankeyIterations),V=j.nodes(),U=0;U<V.length;U++)(N=V[U]).width=A,N.height=T;return x(D),{key:r,trace:a,guid:Math.floor(1e12*(1+Math.random())),horizontal:p,width:A,height:T,nodePad:d,nodeLineColor:v,nodeLineWidth:y,linkLineColor:b,linkLineWidth:_,valueFormat:w,valueSuffix:k,textFont:M,translateX:o.x[0]*A+t.margin.l,translateY:t.height-o.y[1]*t.height+t.margin.t,dragParallel:p?T:A,dragPerpendicular:p?A:T,nodes:D,links:S,arrangement:u,sankey:j,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}.bind(null,r)),d);c.exit().remove(),c.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\",T),c.transition().ease(n.ease).duration(n.duration).attr(\"transform\",T);var u=c.selectAll(\".\"+n.cn.sankeyLinks).data(g,d);u.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var p=u.selectAll(\".\"+n.cn.sankeyLink).data(function(t){return t.sankey.links().filter(function(t){return t.value}).map(function(t,e,r){var n=a(r.color),i=r.source.label+\"|\"+r.target.label,s=t[i];t[i]=(s||0)+1;var l=i+\"__\"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:l,traceId:e.key,link:r,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}.bind(null,{},t))},d);p.enter().append(\"path\").classed(n.cn.sankeyLink,!0).attr(\"d\",_).call(I,c,i.linkEvents),p.style(\"stroke\",function(t){return A(t)?o.tinyRGB(a(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"stroke-width\",function(t){return A(t)?t.linkLineWidth:1}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),p.transition().ease(n.ease).duration(n.duration).attr(\"d\",_),p.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var v=c.selectAll(\".\"+n.cn.sankeyNodeSet).data(g,d);v.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),v.style(\"cursor\",function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}});var y=v.selectAll(\".\"+n.cn.sankeyNode).data(function(t){var e=t.sankey.nodes();return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=t[e].x,t[e].originalY=t[e].y,-1===r.indexOf(t[e].x)&&r.push(t[e].x);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.filter(function(t){return t.value}).map(function(t,e,r){var i=a(r.color),s=n.nodePadAcross,l=e.nodePad/2,c=r.dx,u=Math.max(.5,r.dy),h=r.label,f=t[h];t[h]=(f||0)+1;var p=h+\"__\"+t[h];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:p,traceId:e.key,node:r,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(c),visibleHeight:u,zoneX:-s,zoneY:-l,zoneWidth:c+2*s,zoneHeight:u+2*l,labelY:e.horizontal?r.dy/2+1:r.dx/2+1,left:1===r.originalLayer,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:i.getBrightness()<=128,tinyColorHue:o.tinyRGB(i),tinyColorAlpha:i.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,p].join(\" \"),interactionState:e.interactionState}}.bind(null,{},t))},d);y.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(b).call(I,c,i.nodeEvents),y.call(O,p,i),y.transition().ease(n.ease).duration(n.duration).call(b),y.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var w=y.selectAll(\".\"+n.cn.nodeRect).data(g);w.enter().append(\"rect\").classed(n.cn.nodeRect,!0).call(M),w.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}),w.transition().ease(n.ease).duration(n.duration).call(M);var k=y.selectAll(\".\"+n.cn.nodeCapture).data(g);k.enter().append(\"rect\").classed(n.cn.nodeCapture,!0).style(\"fill-opacity\",0),k.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 D=y.selectAll(\".\"+n.cn.nodeCentered).data(g);D.enter().append(\"g\").classed(n.cn.nodeCentered,!0).attr(\"transform\",S),D.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var R=D.selectAll(\".\"+n.cn.nodeLabelGuide).data(g);R.enter().append(\"path\").classed(n.cn.nodeLabelGuide,!0).attr(\"id\",function(t){return t.uniqueNodeLabelPathId}).attr(\"d\",E).attr(\"transform\",C),R.transition().ease(n.ease).duration(n.duration).attr(\"d\",E).attr(\"transform\",C);var B=D.selectAll(\".\"+n.cn.nodeLabel).data(g);B.enter().append(\"text\").classed(n.cn.nodeLabel,!0).attr(\"transform\",L).style(\"user-select\",\"none\").style(\"cursor\",\"default\").style(\"fill\",\"black\"),B.style(\"text-shadow\",function(t){return t.horizontal?\"-1px 1px 1px #fff, 1px 1px 1px #fff, 1px -1px 1px #fff, -1px -1px 1px #fff\":\"none\"}).each(function(t){s.font(B,t.textFont)}),B.transition().ease(n.ease).duration(n.duration).attr(\"transform\",L);var F=B.selectAll(\".\"+n.cn.nodeLabelTextPath).data(g);F.enter().append(\"textPath\").classed(n.cn.nodeLabelTextPath,!0).attr(\"alignment-baseline\",\"middle\").attr(\"xlink:href\",function(t){return\"#\"+t.uniqueNodeLabelPathId}).attr(\"startOffset\",P).style(\"fill\",z),F.text(function(t){return t.horizontal||t.node.dy>5?t.node.label:\"\"}).attr(\"text-anchor\",function(t){return t.horizontal&&t.left?\"end\":\"start\"}),F.transition().ease(n.ease).duration(n.duration).attr(\"startOffset\",P).style(\"fill\",z)}},{\"../../components/color\":558,\"../../components/drawing\":583,\"../../lib\":684,\"../../lib/gup\":681,\"./constants\":1009,\"@plotly/d3-sankey\":49,d3:147,\"d3-force\":143,tinycolor2:499}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\"tx\"),n.mergeArray(e.hovertext,t,\"htx\"),n.mergeArray(e.customdata,t,\"data\"),n.mergeArray(e.textposition,t,\"tp\"),e.textfont&&(n.mergeArray(e.textfont.size,t,\"ts\"),n.mergeArray(e.textfont.color,t,\"tc\"),n.mergeArray(e.textfont.family,t,\"tf\"));var i=e.marker;if(i){n.mergeArray(i.size,t,\"ms\"),n.mergeArray(i.opacity,t,\"mo\"),n.mergeArray(i.symbol,t,\"mx\"),n.mergeArray(i.color,t,\"mc\");var a=i.line;i.line&&(n.mergeArray(a.color,t,\"mlc\"),n.mergeArray(a.width,t,\"mlw\"));var o=i.gradient;o&&\"none\"!==o.type&&(n.mergeArray(o.type,t,\"mgt\"),n.mergeArray(o.color,t,\"mgc\"))}}},{\"../../lib\":684}],1015:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../components/colorbar/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/drawing\"),l=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"],editType:\"calc\"},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"],editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1,editType:\"plot\"},dash:l({},o,{editType:\"style\"}),simplify:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},cliponaxis:{valType:\"boolean\",dflt:!0,editType:\"plot\"},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\",editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\"},marker:l({symbol:{valType:\"enumerated\",values:s.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\"},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calcIfAutorange\"},maxdisplayed:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},sizeref:{valType:\"number\",dflt:1,editType:\"calc\"},sizemin:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\",editType:\"calc\"},colorbar:i,line:l({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},n(\"marker.line\")),gradient:{type:{valType:\"enumerated\",values:[\"radial\",\"horizontal\",\"vertical\",\"none\"],arrayOk:!0,dflt:\"none\",editType:\"calc\"},color:{valType:\"color\",arrayOk:!0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},n(\"marker\")),selected:{marker:{opacity:{valType:\"number\",min:0,max:1,editType:\"style\"},color:{valType:\"color\",editType:\"style\"},size:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},textfont:{color:{valType:\"color\",editType:\"style\"},editType:\"style\"},editType:\"style\"},unselected:{marker:{opacity:{valType:\"number\",min:0,max:1,editType:\"style\"},color:{valType:\"color\",editType:\"style\"},size:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},textfont:{color:{valType:\"color\",editType:\"style\"},editType:\"style\"},editType:\"style\"},textposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle left\",\"middle center\",\"middle right\",\"bottom left\",\"bottom center\",\"bottom right\"],dflt:\"middle center\",arrayOk:!0,editType:\"calc\"},textfont:a({editType:\"calc\",colorEditType:\"style\",arrayOk:!0}),r:{valType:\"data_array\",editType:\"calc\"},t:{valType:\"data_array\",editType:\"calc\"}}},{\"../../components/colorbar/attributes\":559,\"../../components/colorscale/attributes\":565,\"../../components/drawing\":583,\"../../components/drawing/attributes\":582,\"../../lib/extend\":673,\"../../plots/font_attributes\":758,\"./constants\":1020}],1016:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"./subtypes\"),l=t(\"./colorscale_calc\"),c=t(\"./arrays_to_calcdata\"),u=t(\"./calc_selection\");function h(t,e,r,n,i,o,l){var c=e._length;r._minDtick=0,n._minDtick=0;var u={padded:!0},h={padded:!0};l&&(u.ppad=h.ppad=l),!(\"tozerox\"===e.fill||\"tonextx\"===e.fill&&t.firstscatter)||i[0]===i[c-1]&&o[0]===o[c-1]?(e.error_y||{}).visible||-1===[\"tonexty\",\"tozeroy\"].indexOf(e.fill)&&(s.hasMarkers(e)||s.hasText(e))||(u.padded=!1,u.ppad=0):u.tozero=!0,!(\"tozeroy\"===e.fill||\"tonexty\"===e.fill&&t.firstscatter)||i[0]===i[c-1]&&o[0]===o[c-1]?-1!==[\"tonextx\",\"tozerox\"].indexOf(e.fill)&&(h.padded=!1):h.tozero=!0,a.expand(r,i,u),a.expand(n,o,h)}function f(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i(n.size)){var l={type:\"linear\"};a.setConvert(l);for(var c=l.makeCalcdata(t.marker,\"size\"),u=new Array(e),h=0;h<e;h++)u[h]=r(c[h]);return u}return r(n.size)}}e.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis||\"x\"),i=a.getFromId(t,e.yaxis||\"y\"),s=r.makeCalcdata(e,\"x\"),p=i.makeCalcdata(e,\"y\"),d=e._length,g=new Array(d);h(t,e,r,i,s,p,f(e,d));for(var m=0;m<d;m++)g[m]=n(s[m])&&n(p[m])?{x:s[m],y:p[m]}:{x:o,y:o},e.ids&&(g[m].id=String(e.ids[m]));return c(g,e),l(e),u(g,e),t.firstscatter=!1,g},calcMarkerSize:f,calcAxisExpansion:h}},{\"../../constants/numerical\":661,\"../../lib\":684,\"../../plots/cartesian/axes\":732,\"./arrays_to_calcdata\":1014,\"./calc_selection\":1017,\"./colorscale_calc\":1019,\"./subtypes\":1037,\"fast-isnumeric\":214}],1017:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&&n.tagSelected(t,e)}},{\"../../lib\":684}],1018:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if(\"scatter\"===r.type){var n=r.fill;if(\"none\"!==n&&\"toself\"!==n&&(r.opacity=void 0,\"tonexty\"===n||\"tonextx\"===n))for(var i=e-1;i>=0;i--){var a=t[i];if(\"scatter\"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],1019:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/has_colorscale\"),i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t){a.hasLines(t)&&n(t,\"line\")&&i(t,t.line.color,\"line\",\"c\"),a.hasMarkers(t)&&(n(t,\"marker\")&&i(t,t.marker.color,\"marker\",\"c\"),n(t,\"marker.line\")&&i(t,t.marker.line.color,\"marker.line\",\"c\"))}},{\"../../components/colorscale/calc\":566,\"../../components/colorscale/has_colorscale\":572,\"./subtypes\":1037}],1020:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20}},{}],1021:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"./constants\"),s=t(\"./subtypes\"),l=t(\"./xy_defaults\"),c=t(\"./marker_defaults\"),u=t(\"./line_defaults\"),h=t(\"./line_shape_defaults\"),f=t(\"./text_defaults\"),p=t(\"./fillcolor_defaults\");e.exports=function(t,e,r,d){function g(r,i){return n.coerce(t,e,a,r,i)}var m=l(t,e,d,g),v=m<o.PTS_LINESONLY?\"lines+markers\":\"lines\";if(m){g(\"text\"),g(\"hovertext\"),g(\"mode\",v),s.hasLines(e)&&(u(t,e,r,d,g),h(t,e,g),g(\"connectgaps\"),g(\"line.simplify\")),s.hasMarkers(e)&&c(t,e,r,d,g,{gradient:!0}),s.hasText(e)&&f(t,e,d,g);var y=[];(s.hasMarkers(e)||s.hasText(e))&&(g(\"cliponaxis\"),g(\"marker.maxdisplayed\"),y.push(\"points\")),g(\"fill\"),\"none\"!==e.fill&&(p(t,e,r,g),s.hasLines(e)||h(t,e,g)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||y.push(\"fills\"),g(\"hoveron\",y.join(\"+\")||\"points\");var 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:u,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:u,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:u,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var 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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\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,i){return n.coerce(t,e,h,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(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),a.hasText(e)&&c(t,e,f,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\"),p(\"hoveron\",v.join(\"+\")||\"points\"),n.coerceSelectionMarkerOpacity(e,p)}else 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n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/marker_colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.styleOnSelect=t(\"../scatter/style\").styleOnSelect,n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/geo\":762,\"../scatter/marker_colorbar\":1032,\"../scatter/style\":1036,\"./attributes\":1053,\"./calc\":1054,\"./defaults\":1055,\"./event_data\":1056,\"./hover\":1057,\"./plot\":1059,\"./select\":1060,\"./style\":1061}],1059:[function(t,e,r){\"use strict\";var 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n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"point-cluster\"),s=t(\"array-range\"),l=t(\"@etpinard/gl-text\"),c=t(\"../../registry\"),u=t(\"../../lib\"),h=t(\"../../lib/prepare_regl\"),f=t(\"../../plots/cartesian/axis_ids\"),p=t(\"../../components/color\"),d=t(\"../scatter/subtypes\"),g=t(\"../scatter/calc\").calcMarkerSize,m=t(\"../scatter/calc\").calcAxisExpansion,v=t(\"../scatter/colorscale_calc\"),y=t(\"../scatter/link_traces\"),x=t(\"../scatter/get_trace_color\"),b=t(\"../scatter/fill_hover_text\"),_=t(\"./convert\"),w=t(\"../../constants/numerical\").BADNUM,k=t(\"./constants\").TOO_MANY_POINTS,M=t(\"../../constants/interactions\").DESELECTDIM;function A(t,e,r,n,i,a){var o=_.style(t,r);if(o.marker&&(o.marker.positions=n),o.line&&n.length>1&&u.extendFlat(o.line,_.linePositions(t,r,n)),o.errorX||o.errorY){var s=_.errorBarPositions(t,r,n,i,a);o.errorX&&u.extendFlat(o.errorX,s.x),o.errorY&&u.extendFlat(o.errorY,s.y)}return o.text&&(u.extendFlat(o.text,{positions:n},_.textPosition(t,r,o.text,o.marker)),u.extendFlat(o.textSel,{positions:n},_.textPosition(t,r,o.text,o.markerSel)),u.extendFlat(o.textUnsel,{positions:n},_.textPosition(t,r,o.text,o.markerUnsel))),o}function T(t,e){var r=e._scene,n={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[]},i={selectBatch:null,unselectBatch:null,fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:null};return e._scene||((r=e._scene={}).init=function(){u.extendFlat(r,i,n)},r.init(),r.update=function(t){var e,n=new 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n=t._fullLayout,i=n._size,a=n.width,o=n.height,s=e.xaxis,l=e.yaxis,c=[i.l+s.domain[0]*i.w,i.b+l.domain[0]*i.h,a-i.r-(1-s.domain[1])*i.w,o-i.t-(1-l.domain[1])*i.h];r.select2d&&S(r.select2d,c),r.scatter2d?S(r.scatter2d,c):r.glText&&S(r.glText[0],c)},r.destroy=function(){r.fill2d&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy(),r.line2d&&r.line2d.destroy(),r.select2d&&r.select2d.destroy(),r.glText&&r.glText.forEach(function(t){t.destroy()}),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||u.extendFlat(r,n),r}function S(t,e){var r=t.regl._gl;r.enable(r.SCISSOR_TEST),r.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT)}function E(t,e,r,n){var i=t.xa,a=t.ya,o=t.distance,s=t.dxy,l=t.index,h={pointNumber:l,x:e[l],y:r[l]};h.tx=Array.isArray(n.text)?n.text[l]:n.text,h.htx=Array.isArray(n.hovertext)?n.hovertext[l]:n.hovertext,h.data=Array.isArray(n.customdata)?n.customdata[l]:n.customdata,h.tp=Array.isArray(n.textposition)?n.textposition[l]:n.textposition;var f=n.textfont;f&&(h.ts=Array.isArray(f.size)?f.size[l]:f.size,h.tc=Array.isArray(f.color)?f.color[l]:f.color,h.tf=Array.isArray(f.family)?f.family[l]:f.family);var p=n.marker;p&&(h.ms=u.isArrayOrTypedArray(p.size)?p.size[l]:p.size,h.mo=u.isArrayOrTypedArray(p.opacity)?p.opacity[l]:p.opacity,h.mx=Array.isArray(p.symbol)?p.symbol[l]:p.symbol,h.mc=u.isArrayOrTypedArray(p.color)?p.color[l]:p.color);var d=p&&p.line;d&&(h.mlc=Array.isArray(d.color)?d.color[l]:d.color,h.mlw=u.isArrayOrTypedArray(d.width)?d.width[l]:d.width);var g=p&&p.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[l]:g.type,h.mgc=Array.isArray(g.color)?g.color[l]:g.color);var m=i.c2p(h.x,!0),v=a.c2p(h.y,!0),y=h.mrc||1,_=n.hoverlabel;_&&(h.hbg=Array.isArray(_.bgcolor)?_.bgcolor[l]:_.bgcolor,h.hbc=Array.isArray(_.bordercolor)?_.bordercolor[l]:_.bordercolor,h.hts=Array.isArray(_.font.size)?_.font.size[l]:_.font.size,h.htc=Array.isArray(_.font.color)?_.font.color[l]:_.font.color,h.htf=Array.isArray(_.font.family)?_.font.family[l]:_.font.family,h.hnl=Array.isArray(_.namelength)?_.namelength[l]:_.namelength);var w=n.hoverinfo;w&&(h.hi=Array.isArray(w)?w[l]:w);var k={};return k[t.index]=h,u.extendFlat(t,{color:x(n,h),x0:m-y,x1:m+y,xLabelVal:h.x,y0:v-y,y1:v+y,yLabelVal:h.y,cd:k,distance:o,spikeDistance:s}),h.htx?t.text=h.htx:h.tx?t.text=h.tx:n.text&&(t.text=n.text),b(h,n,t),c.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,n,t),t}function C(t){var e,r,n=t[0].t,i=n._scene,a=n.index,o=i.selectBatch[a],s=i.unselectBatch[a],l=i.textOptions[a],c=i.textSelectedOptions[a]||{},h=i.textUnselectedOptions[a]||{},f=u.extendFlat({},l);if(o&&s){var d=c.color,g=h.color,m=l.color,v=Array.isArray(m);for(f.color=new Array(n.count),e=0;e<o.length;e++)r=o[e],f.color[r]=d||(v?m[r]:m);for(e=0;e<s.length;e++){r=s[e];var y=v?m[r]:m;f.color[r]=g||(d?y:p.addOpacity(y,M))}}i.glText[a].update(f)}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\"),cleanData:t(\"../scatter/clean_data\"),colorbar:t(\"../scatter/marker_colorbar\"),calc:function(t,e){var r,n,i,a=t._fullLayout,s=f.getFromId(t,e.xaxis),l=f.getFromId(t,e.yaxis),c=a._plots[e.xaxis+e.yaxis],u=e._length,h=2*u,p={},d=s.makeCalcdata(e,\"x\"),y=l.makeCalcdata(e,\"y\"),x=new 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n,i=r[0],a=i.trace,o=i.t,s=o.index,l=o.x,h=o.y,p=e.xaxis||f.getFromId(t,a.xaxis||\"x\"),v=e.yaxis||f.getFromId(t,a.yaxis||\"y\"),y=[(p._rl||p.range)[0],(v._rl||v.range)[0],(p._rl||p.range)[1],(v._rl||v.range)[1]],x=[d.l+p.domain[0]*d.w,d.b+v.domain[0]*d.h,g-d.r-(1-p.domain[1])*d.w,m-d.t-(1-v.domain[1])*d.h];if(a.selectedpoints||b){if(b||(b=!0),c.selectBatch||(c.selectBatch=[],c.unselectBatch=[]),a.selectedpoints){var _=c.selectBatch[s]=u.selIndices2selPoints(a),w={};for(n=0;n<_.length;n++)w[_[n]]=1;var k=[];for(n=0;n<o.count;n++)w[n]||k.push(n);c.unselectBatch[s]=k}var M=new Array(o.count),A=new Array(o.count);for(n=0;n<o.count;n++)M[n]=p.c2p(l[n]),A[n]=v.c2p(h[n]);o.xpx=M,o.ypx=A}else o.xpx=o.ypx=null;return a.visible?{viewport:x,range:y}:null}});b&&(c.select2d||(c.select2d=n(s._glcanvas.data()[1].regl)),c.scatter2d&&c.selectBatch&&c.selectBatch.length&&c.scatter2d.update(c.markerUnselectedOptions.map(function(t,e){return c.selectBatch[e]?t:null})),c.select2d&&(c.select2d.update(c.markerOptions),c.select2d.update(c.markerSelectedOptions)),c.glText&&r.forEach(function(t){t&&t[0]&&t[0].trace&&C(t)})),c.fill2d&&c.fill2d.update(_),c.line2d&&c.line2d.update(_),c.error2d&&c.error2d.update(_.concat(_)),c.scatter2d&&c.scatter2d.update(_),c.select2d&&c.select2d.update(_),c.glText&&c.glText.forEach(function(t,e){t.update(_[e])}),c.draw()}else c.init()}}},hoverPoints:function(t,e,r,n){var i,a,o,s,l,c,u,h,f,p=t.cd,d=p[0].t,g=p[0].trace,m=t.xa,v=t.ya,y=d.x,x=d.y,b=m.c2p(e),_=v.c2p(r),w=t.distance;if(d.tree){var k=m.p2c(b-w),M=m.p2c(b+w),A=v.p2c(_-w),T=v.p2c(_+w);i=\"x\"===n?d.tree.range(Math.min(k,M),Math.min(v._rl[0],v._rl[1]),Math.max(k,M),Math.max(v._rl[0],v._rl[1])):d.tree.range(Math.min(k,M),Math.min(A,T),Math.max(k,M),Math.max(A,T))}else{if(!d.ids)return[t];i=d.ids}var S=w;if(\"x\"===n)for(l=0;l<i.length;l++)o=y[i[l]],(c=Math.abs(m.c2p(o)-b))<S&&(S=c,u=v.c2p(x[i[l]])-_,f=Math.sqrt(c*c+u*u),a=i[l]);else 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c.selectBatch[a.index]=g,c.unselectBatch[a.index]=m,u&&C(r),n},sceneOptions:A,sceneUpdate:T,calcHover:E,meta:{}}},{\"../../components/color\":558,\"../../constants/interactions\":660,\"../../constants/numerical\":661,\"../../lib\":684,\"../../lib/prepare_regl\":697,\"../../plots/cartesian\":743,\"../../plots/cartesian/axis_ids\":735,\"../../registry\":817,\"../scatter/calc\":1016,\"../scatter/clean_data\":1018,\"../scatter/colorscale_calc\":1019,\"../scatter/fill_hover_text\":1022,\"../scatter/get_trace_color\":1024,\"../scatter/link_traces\":1030,\"../scatter/marker_colorbar\":1032,\"../scatter/subtypes\":1037,\"./attributes\":1062,\"./constants\":1063,\"./convert\":1064,\"./defaults\":1065,\"@etpinard/gl-text\":44,\"array-range\":58,\"point-cluster\":436,\"regl-error2d\":457,\"regl-line2d\":458,\"regl-scatter2d\":459}],1067:[function(t,e,r){\"use strict\";var n=t(\"../scattergeo/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/mapbox/layout_attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorbar/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,u=n.line,h=n.marker;e.exports=c({lon:n.lon,lat:n.lat,mode:l({},i.mode,{dflt:\"markers\"}),text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),line:{color:u.color,width:u.width},connectgaps:i.connectgaps,marker:{symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:h.opacity,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,color:h.color,colorscale:h.colorscale,cauto:h.cauto,cmax:h.cmax,cmin:h.cmin,autocolorscale:h.autocolorscale,reversescale:h.reversescale,showscale:h.showscale,colorbar:s},fill:n.fill,fillcolor:i.fillcolor,textfont:a.layers.symbol.textfont,textposition:a.layers.symbol.textposition,selected:{marker:i.selected.marker},unselected:{marker:i.unselected.marker},hoverinfo:l({},o.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorbar/attributes\":559,\"../../lib/extend\":673,\"../../plot_api/edit_types\":715,\"../../plots/attributes\":729,\"../../plots/mapbox/layout_attributes\":791,\"../scatter/attributes\":1015,\"../scattergeo/attributes\":1053}],1068:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),h=t(\"../../plots/mapbox/convert_text_opts\");function f(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function p(t){return i.isArrayOrTypedArray(t)?function(t){return t}:t?function(){return t}:d}function d(){return\"\"}function g(t){return t[0]===a}e.exports=function(t){var e,r=t[0].trace,a=!0===r.visible,m=\"none\"!==r.fill,v=u.hasLines(r),y=u.hasMarkers(r),x=u.hasText(r),b=y&&\"circle\"===r.marker.symbol,_=y&&\"circle\"!==r.marker.symbol,w=f(),k=f(),M=f(),A=f(),T={fill:w,line:k,circle:M,symbol:A};if(!a)return T;if((m||v)&&(e=o.calcTraceToLineCoords(t)),m&&(w.geojson=o.makePolygon(e),w.layout.visibility=\"visible\",i.extendFlat(w.paint,{\"fill-color\":r.fillcolor})),v&&(k.geojson=o.makeLine(e),k.layout.visibility=\"visible\",i.extendFlat(k.paint,{\"line-width\":r.line.width,\"line-color\":r.line.color,\"line-opacity\":r.opacity})),b){var S=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function v(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFunc(s.extractScale(h.colorscale,h.cmin,h.cmax)):i.identity);d&&(a=c(u));m&&(o=function(t){var e=n(t)?+i.constrain(t,0,1):0;return v(e)});var y,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!g(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var k=x[e].properties;y.selectedOpacityFn&&(k.mo=v(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(M=h.size,M/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:v(h.opacity)};var M}(t);M.geojson=S.geojson,M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"circle-color\":S.mcc,\"circle-radius\":S.mrc,\"circle-opacity\":S.mo})}if((_||x)&&(A.geojson=function(t){for(var e=t[0].trace,r=(e.marker||{}).symbol,n=e.text,i=\"circle\"!==r?p(r):d,a=u.hasText(e)?p(n):d,o=[],s=0;s<t.length;s++){var l=t[s];g(l.lonlat)||o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:l.lonlat},properties:{symbol:i(l.mx),text:a(l.tx)}})}return{type:\"FeatureCollection\",features:o}}(t),i.extendFlat(A.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),_&&(i.extendFlat(A.layout,{\"icon-size\":r.marker.size/10}),i.extendFlat(A.paint,{\"icon-opacity\":r.opacity*r.marker.opacity,\"icon-color\":r.marker.color})),x)){var E=(r.marker||{}).size,C=h(r.textposition,E);i.extendFlat(A.layout,{\"text-size\":r.textfont.size,\"text-anchor\":C.anchor,\"text-offset\":C.offset}),i.extendFlat(A.paint,{\"text-color\":r.textfont.color,\"text-opacity\":r.opacity})}return T}},{\"../../components/colorscale\":573,\"../../components/drawing\":583,\"../../constants/numerical\":661,\"../../lib\":684,\"../../lib/geojson_utils\":677,\"../../plots/mapbox/convert_text_opts\":788,\"../scatter/make_bubble_size_func\":1031,\"../scatter/subtypes\":1037,\"fast-isnumeric\":214}],1069:[function(t,e,r){\"use strict\";var 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 h(r,i){return n.coerce(t,e,c,r,i)}if(function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,h)){if(h(\"text\"),h(\"hovertext\"),h(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h(\"connectgaps\")),i.hasMarkers(e)){a(t,e,r,u,h,{noLine:!0});var f=e.marker;\"circle\"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}i.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{\"../../lib\":684,\"../scatter/fillcolor_defaults\":1023,\"../scatter/line_defaults\":1027,\"../scatter/marker_defaults\":1033,\"../scatter/subtypes\":1037,\"../scatter/text_defaults\":1038,\"./attributes\":1067}],1070:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],1071:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\"),o=t(\"../scatter/fill_hover_text\"),s=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(l,function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.wrap180(e[0]),a=e[1],o=f.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-h.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)},t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[i.wrap180(m[0])+p,m[1]],y=u.c2p(v),x=h.c2p(v),b=g.mrc||1;return t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b,t.color=a(c,g),t.extraText=function(t,e,r){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];function u(t){return t+\"\\xb0\"}i||a&&s?c.push(\"(\"+u(l[0])+\", \"+u(l[1])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(i||-1!==n.indexOf(\"text\"))&&o(e,t,c);return c.join(\"<br>\")}(c,g,l[0].t.labels),[t]}}},{\"../../components/fx\":600,\"../../constants/numerical\":661,\"../../lib\":684,\"../scatter/fill_hover_text\":1022,\"../scatter/get_trace_color\":1024}],1072:[function(t,e,r){\"use strict\";var 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n=t(\"../box/layout_attributes\"),i=t(\"../../lib\").extendFlat;e.exports={violinmode:i({},n.boxmode,{}),violingap:i({},n.boxgap,{}),violingroupgap:i({},n.boxgroupgap,{})}},{\"../../lib\":684,\"../box/layout_attributes\":845}],1121:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\"),a=t(\"../box/layout_defaults\");e.exports=function(t,e,r){a._supply(t,e,r,function(r,a){return n.coerce(t,e,i,r,a)},\"violin\")}},{\"../../lib\":684,\"../box/layout_defaults\":846,\"./layout_attributes\":1120}],1122:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../box/plot\"),s=t(\"../scatter/line_points\"),l=t(\"./helpers\");e.exports=function(t,e,r,c){var u=t._fullLayout,h=e.xaxis,f=e.yaxis;function p(t){var e=s(t,{xaxis:h,yaxis:f,connectGaps:!0,baseTolerance:.75,shape:\"spline\",simplify:!0});return a.smoothopen(e[0],1)}var d=c.selectAll(\"g.trace.violins\").data(r,function(t){return 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   "source": [
    "# Create a boxplot of the maximum power in the power spectra for each sequence.\n",
    "w.ColorBoxPlot('driftpwr', gssList[-1], None, None, driftresults = results_gst)"
   ]
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    "** Constructing estimates of the drifting probabilities **\n",
    "\n",
    "The analysis creates estimates of the time-dependent probability, $p(t)$, to obtain a given outcome, for each sequence. Below, we will explain how to access and plot all of these estimates. Here, we demonstrate how to plot the estimated $p(t)$ that the analysis concludes is \"the most drifty\" (the $p(t)$ where the estimated drift has the highest power). Obviously, the more this function oscillates, the more drifty the data for this sequence appears to be."
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1PK0Zu5znxhpH49V3r/rZmrGmrbfF6//bcqyJdf+WXi+onJNo/+slP8br89pa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\nVQAVRVEURVEURVHihP8P8vzrmKp8FwAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12464fd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_gst.plot_most_drifty_probability(plot_data=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "It can also be informative to display multiple reconstructions on a single plot. Below we plot the reconstructions for the $G_i$ and $G_x$ germs, both with varying germ power and fixed fudicials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5c2ejD+bDhg1jwoQJGIZRx4MTCASYOnXqCWn8nUw01P9NcSKcn82bN3PppZcy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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12019a160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pick a list of sequence labels (here gatestrings) or indices to plot the estimated p(t) for\n",
    "gstrs = [pygsti.objects.GateString(None,'Gx(Gi)^'+str(2**l)+'Gy') for l in range(4,10)]\n",
    "# Hand this list to the plotting function\n",
    "results_gst.plot_multi_estimated_probabilities(gstrs,loc='upper right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WFrJ69WrKysoc73ey+W233UZSUhJ5eXlMmjSpjozzzjuPTZs2sX37doqLi1m/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\neUb03xyfAjwg5MxGfjXDEGbrdcMwz7Ag45TzeJDBX9GFIaQ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OsxQrJ48HnvNMyT5+OTwQ\nZOu5LcxcHYTTY/BnadmsghgPsm9JZMev6MKQjjjtomw9GxwTZevJ4FhKkAXnMZzHA5HTTn8ne+ZX\nNM94PGCcCQ/cEmXr6TPUfLY+msy+TnByCrL1XiSdnGeibD25Bd9sw+OMtco7EyIM550eD8fKY+dC\nXOkYHoiyc+yaKAw2kvNd6Kgy64QHhosuEPLKVJJzQBTIZoNj9jqRbVs5K+cPwgNmbacJNE9MWTIr\nJNCcM8G2wfwuIume2bnsTo9oSzPXhofTI9rN4yUnn52jv885E1wbAqeHc97c5RRl5zjHihezHdnQ\n7PrNyGa3KXB6mH5wNmN+FznUXBaRaaQ9jiqnT9ZmHW6Da4JzMrkgCDl+4ZJlJG/HVcS7XtxKRy+B\ncYokST5JkiLsvx9a3//XwoIve2EIeXYJEJMcemsPT3JY4BQ5TvT2TQHJSWUnOSlmy4boDIonyWEW\nZdGFISyR4ghIUmM+n93BFhF9dlsu7wwz+hREL7yd4czztGALEptlFF0Ywm5F5XXB24wEJTarILIZ\nu83Ua1EWRXLIAEbqB5Ac1oaiCwLYLbccyRGNLQZv2LGVLVMpIjnc2BKQMdbJ5PXJ950F2wSLB2wA\nI0k/Z+cZN36F+vSqg+4re2EIG1gRZev57W3Z2xA6/l544DG2+OCYAA86SNLZC0PIs0tu/SDlEGXr\nRXKydudxy91pB/hsvTA4lmX8irJzrGMlcpy4OrzWGiZbz2GjYPxyY4vDAxa3+EAgaTPR7ZmkTUQ3\nX/Ny8usqqws2cCUKELPbs8jgmOhiNHZrOxu4YoNOogtvKCdTsH2YHZ+i8Uo5w17jQrArpjUlslk2\nfsCfpfXKzrE2dgg0+RnPDIqA6DN44J2do+vjnEwBSc/mfImSK6ycor4b1O8d35LIOr9COThnN7uc\nnNwiRzZLHaI2+DoETrfQ6RHXYYB3nNjAgNixotvzclQ13WtsZR8XouycSJ/Z7S7QZzv0SxbRMZNs\npaMvgpckSbpFkqR9ANIA2gT//iuFXexSDKixlyMkBRkUjjC3g+RwwMmQSq+sAbtIsFtqxGfnMm2Y\nJIddiLKTSPbskujCG24hSrIEsB1OJneRTPY22Jdts1kF0XX+rBxtjM04IiV4bxe/2DFEirMJu9WH\nzTKKnOHMZ0ySk12/SQF5SDAZKZbksLqIKjTJ4bKhIifTk+SwDjUtJ5tVEJEcbusvo1+WrAnnGXuZ\nkgdJT6o6vVeezSoIxi8plyGQm8+0i2yWPTvHB67ovrLZJWHQifiM6MIQPjOhM1tP+OAYhwdsAEih\n9csHx3Ru4Weddq/sHGsT8uyS3Y9sjgDAj3keG/m5So8t7+AYOz55bMweEFJ1A8m0B74K5ioVwFD5\ns+AcHrBZcSGuZQ8McAEMbocFLSd5sY9dB7+NlF1nWZsxczmtckSJC2i2MzvnfJ9pU7TbhNSnbtDb\n6QFxoIUdnx2VM56mMVyYwc7iqKYE53Vj7PhlHH8uOCaYZ/yWRFoGUfYjG/k1BI6CV2aNJeUiZ8Nr\n6ySLpQZbKRhnQrAJz8vpEWcZ3ftmGDyxF9VB/oXP3mU/qyiuk34udHoYxypbPwCAdYtYJ7xdjqrH\nOPghjqqor55tsA4eEwTxroOrguPl2eaI/Xu2c4Vu7yd1Kx3NAF4H4FYAf4OZc7wXwD0AvgdwEMBV\nHazv31ZYAh1Pa5RBOhqhBviFSQTwZBUscIquimbbSKnZ5RSRSraO9mTnyDrYKK1oKxVLpMy+Zj7D\nOVaqxg1eso60biCdzk74zItksjwXbKHjzxFmJz2mI0CCg8E5gByREtmd6K1wa7CHnDzJ4TOVpNnT\nmg6FWGXFC3/2aDEXoRaMLfpmK/COqiBrQFYhJr+MnEoHxy/jvJnfYS4M4cgvS3LovoqcIjUL+RX+\nzgUwPPBAFeEBXSeLBzxe6M57f9zk4vUpIHzZgmMeN18Ctt3dHVWvzHBaM/iAkHCekf3wDgyw+uTn\nHY+vLB4kGEfVCxtZ50y0fZOfA9mDjdxaw8wzRWWzjNkDA85niEpEgRZ2npF1aIbBBRs5fOXwgHWs\nNBgdxHA2m88GnQA+iNee4xvZHCuvy39MOb0DxGQN7MU+ol0zbBspBj/FOzDcx6cBcEcB+HWAXs+E\nwTEPx4klpuyc+SHZOS8nUphlZNvwcHK8MoCcY6V7y+nlhIoSNF5OjldGlfWBhG2I+krarIP6NNAO\nfXo6naJxkb3vQoc7i5xeWUZhm4Iso5cTKcoqkoUdF6Itt2zxHL/MH0SB12ylow7glQB+D+BP1u/v\nGIZxN4DTAOwG0M/ti//pYoNeyG92yW0hcp6ndW4hsolT0PpMTBGfI3LqYLOMVpsBWYIEk+QkuQsZ\naDlYg9mLckZO8c1rpJxuW+jIOsgaYoLnbtlQR06GxPBt8Nu1bPIbtF5+GeOi3IxNVDq+JpLTLUJt\n64IjpkwdrNNuZxVknwTZJ0EzgGRa3AalT2pRTjP90LhbzeIdtBnrnHG6ELyQnpOTcZxEY4tzrNK0\nnLGU+EIRN5tEBc85As2OrbTYOXOT084ySjDnmgHBJTqcPmmHWtQPLzxwc6zIOUKOX8fm1vhXVJ3L\nqPJyZMcDUVApwckpJunk2KHxgB/fbtukKTnJNgRyspFKDg8YfOXaUNk50H45HV2k24GNRBXmFnzA\n75Pgk6yxlhZn1kJOG/Q8E7XBZxk9bCYanx7j121HAL3WZJFTlGVkcMvNCcrMAY+5LNhtwvaFHTvc\n+GXWM3sLviSZdjMA7sw6JycbbOTGnnv2LsMPPMYWE2xkx2ZKkF2Oc9goDjZS666HnGwASDSPvMYv\nl5GyvmCfG3Tb5mc/N79P84PMZ+jv2EXj6sjeBusEieXwklPsXEjWP0PQVzsOQ/aV/IRtH7INdt0V\n1UHJofN99eqHt01YZ60jNnOrg+2H97jgbUbXYRjg1hL6Od8GazOv8cvZzKMNcR1iZ82tDXZ8i94V\nKPqMSAYawzlRXUt7bgElS28A2w3D0CRJSgMosoTSJUl6GsALMDOE/6clnkij9lgUAODXdKQA1Bxu\nxbpkFULWO0hqE+Y7VgLW81hKxcaKGhTlBp16WhNp5zMKgN176hFsSDoHbfc2x6g2jtfHUbGxGuGA\nqcY26+yCTzcgA1ABbNp8CEcKw04bxxroOg5WNWFdWxoBy4AHYinqeVtMwYaKahSGTTnJczB+S86v\ndx6DdjTmtHGgiW7jSF0UGyqqkOM35WywFiJZMyDB3IJUsbEanfMzcjZY70ix69hf2Yh1LQr8PlPO\nPW3086bWJCo2VCMvJwAAUHQzcukD4LOIydbtR9BW3eq0UdPQRtVx6HAr1qeqHZsdtRwr+3lC0bCx\nogYleSGnjhZLX7bNvt9bj5ympDNh9rTEqTrqGxPYUFGNSNDURYywGQBoADZtOYS6osxx1iPHaX1W\n1bRgfUxzbFYVZ2wWT2MjYzN7UbVttvPbY5Dq4k4b+xmbHTseQ0VFNXKssdVsOc8+TYcPJphs2FyD\nboTNjjfRNqm0bWYR7r3RJPW8OZrChopq5Fs20wwzKyMBkC2bbf/6KJK1mZ3dVY30PDt8tA3rK6qR\nY9msLkXbLKnq2FhRjbL8HKeOpjZaX3v3NSDSlHIuuNjVSvejsTmJDRurkWvZzA6qyAAka+X8amst\nGoubnTZq6xk8qG3FukQGDw5ZeGA/jyVVbNxYg6JIBg/a4pm+KAB27T4Of33CFQ/qGuLYUJHBg1Zr\nnkq6Dhnm2Nq4+RBqSTxopMfngaomrI+mHZtVRmldtUYVVGysRkGOKafpWOmUnDu+OYr0kajTxoEm\nxmbHsuNBWjNQUVGNThQe0GNnX2UDcltSDh7sbuXxYENFDfJCZhuKbjofMgg82HYErVUZPDjE4kFt\nC9YnNcdmR5IZfE7BJLobN7B4kMF5BcCe7+sRaszgwffNPB5UVFQjbI2tKIEHEgAdwMavDuEoiQf1\ntN2rq5uwPqq64kFUgAc2Cbdt9s23R2HUZTCcxYOjx2Omzayx1aTweLCexYNm2maVBxqxrjWDB99H\naZs1t6VQUZHBcFU3oOo8HiQOZfCgmsGD2iOt2fEgraNiYzXK8kg8oOfi3n0NCBN4sJtZixqakthQ\nkcGDhI0HBuCzCNHmrYdQX5TrtHGYwYPq2lasT1Q57yiriWfWkRSAaILHgyjDD3btqoP/eNzBg30s\nHtTTGN5i4YFPy+DBho2HUJMFDyoPNmF9WwYP9jMY3hpNoWJjDQosm+lGJkvr4MFOGg8Oshh+LIr1\nBB7UO2uVgRTM13tsqKhGp/wcRMIqotGUE3yULH0nUxp8Fn6YNjGo56qmIxZLE86e+b8EOKw4Fk9D\nI3cJqHQb6bSOaFRx6lB0ug3dMBCLKfATFyVpzGeSSRWSFTwEMmuJI6eqIxbLtKERctq8OhZPIy0T\nW7gZOVOKiphmwL6fJcXIoOmmnOSFTo7zYP2fSKQBIniV0lhdaIgScjoX5xqGI2ssloaSVU4NUULO\nJGMzTTP1bctpgLiixPpMPJ6GTh5JYtpQ0hplszSjC0NkM25sqZC09ttM5ADF4gpUOZPvYseWktYQ\ni2Z0wY4toc1cxpZdOJupmnBskTaLxtIIkjZjbMLZzJLBnsstFqfz+XIy4JeldDQD2AAgz/q5GsBg\n4lkxgDD3jf+DousGNEur5TaY+n0oKgqjqCgHRUU5kHNMcCvOz3EW9nBB0HleUBhyJlFZgbk4+XP8\nKCTqMKzFwm5DlyUUFOY4zwMRE4QjQT/C1rVcwdyA87yoKAe2ae06pICMouLMc19IpmRQARQUhJzn\n4fyQ1T3JcV79YT/VhiHTujBkH4oKM/0IhE1d5IX9CFmfDeaGqDrs2Lxdhy/op/QpBWhdaJKEAuJ5\nKM+ULeT3IS9s6sUfoXWhW+TRsVlARiHx3LZZUV4IsmROkDChi8LCENKMzeQcmZITfroN3SehkLBZ\nMNeULRyUEQmafQowcmoSbzNKTovkkjbLy8/ImVcQggHzNjibrPrDAaoOg5ETsoRCymbW2MoJIMf6\nbCgSpORkx5YvSOvCZ/WvvMCyGUCNX9tmQVlCvm2zsMzYTDTPMs/9ls0KcoMIWJ8N5dNypq2l1K5D\nDtFtIOCz9GmPLaCwgLdZTkBGrqV7P6MLGw/sOlg88FnfK7HwQAOQS+BBfkEIKszFznZe5Rw/iopJ\nPKBtZjBjKxAx24iEvPHAltMXpMdWBg/CztgibRbON20W8EkotMiqzOKBPc9sXTB4YNssLxxA0AMP\nMnIyeBCk5dQlGhuDuTwecPOMGVtSgB6/co7ZRlFeCD4LDyJeeBCi6zACPB4UuOBB2BUPWDn9jM14\nPMgn8CCXwINiAg+oOeBnMVyi1iJ7rcnNCTjR31Auiwf0POPxwE891yAhn8IDs40QhQf02OLxgJ7L\nNoYX5gad23HDBB4UFoYIPDD15QvRayI4m4nxIByUEXHDAw7DxfygxJrrGoC8AhrDNZh4YH/GH86O\nB+zYIvEgx+pTkLUZIydnsxCN4apE40GOjeE+CQUWHgRyGJvJ7FrD4IHNDyIBBBkM9/kkyLLPcYZs\nx1SSAFn2Of9sguonSLdPlpzn9q27PkmCz2pD8klUHWwb9s+y7ENhYQQTxo7EjPGjMG3CmXj60Ydh\nAI589r/mlma89LfnKTmnTpnoPLcFddqQJMiEnJKPkFOi5Wxra8ULLzwv0IUE2e9zbeORB+7Fk08+\nSujC+h7gOEKsLhKJBM6fPR0SDByprcW7y9+CLEvQNBUzZkyBpltBPJ/kBCQkWcJzzz2NYcMG4Yor\nLhPbjJTTx+ubfG7rQpIkxxFi5QRrdxd9yrLPcXpYm3F2Z8YWq0+jAzaTZR8UJYX5Z0+Dpmnwyz4c\nrzuGxVdehjPOOAXjxp2JyZMn4IMP3qPbAOCzvm/rPK2qZnDM+oyqa1iwYB569ToBu3d/Bzsc4pd9\nOHzoEBacMxMjRvwEI0YMxrPPPuXIOWrQKZgyZgRmjB+FyWeNceRsa2vFlZdehLNGDsbEUUOwZdNG\nUxd+fp6RnK6wMAeSJLXrfewddQDXARhu/bwUwF2SJN0rSdLvATwCYGUH6/u3Fdvb7tElH4AZaaD2\ntVueeXlpBDkWGbO/A8DZm5/j96G81HSeFaaOpKgNYgeHXUdRQQgFFhCzW0DtaJBTB7MdwJbzhE55\nkCUJOgByN4tdX27Ij9JiMyqtaPR2LFsOUk72DCAAlBSFkWst7KQudMNwIiDdO2fqIBux5ehOtEGe\nnbPbyI8EUGwt7Oz5EVafCtOGrYuykogToU9oRLRJN60TkCV0Kc+zdEGn4kU2Y887AUBhfgiFlnOt\nMGeT+DpofSesrEGXslwErIWN1KcdoQ4H/SgrsWym09uxUiqvC7IVu46SwhzkWeSPHFuGYXA24cav\nSj9XDQhtlhcOoKQoLNQFO88U5kyELWdZccQhY0mijrRubrHzSUA322a6IRy/Pbtm5ogumIcFuUEU\nFYQouRw5BXXQc9m0WefSCEIWGSP1af+cE5BRXhrJyJFlbCns2LL6XZyfg4LcIPU3R07rd1tON32e\n0DkPPskMXKVV3qYRAg/SrD5tObuKMcd+XlqU42R/WDxIs7jF4gGjb0U3oOu8PvMjQRRbjhGLjSJ9\nklteaDyQLf2QUXLzs0HZh85luVZf6W0z4jb4fhTmh1BoOWcpPTseKC540LU8z9minCR0Yds0EvKj\nrDiDBzQusfqmcc3WRUlhjuOcpRg8sPXhYLQBMR50JuaZwGZ54QBKLGeBnWcibIRg/JYWRxCxnKwk\nMX5Va87IPgldLTxIszYRYTgpg0rggYPhDB5otD45fLXq6FyWm9lOJcCDcFBGuYPh4rFD8QPB8+KC\nHMc543BLuF7xcp7QOQ+SZGYR0gI5c3P8GQx3wwNbFywHcfCA4AfE2k1mgoKBDEEmi/3poMW1DOZD\nzvY4nwTZJ67D/p2sw+5JOBzGmnWb8MkXFfh8w2b86oabuDp0w0BrSwuW/O2v8Pszbaxa/UWmDavj\nThvMFjv7d9PBoLf6tbQ0469/fdb5PVMHLYhdR8CfcXpYOW1dOHIycix9+UXMmH0OwjlBfPnFany9\nY7vZZjCIiRPPwlvL3rTk9FHbBZ9//lm8//7H+Mc/XuJswh5Tsc8E+u1+Mgq1RZItZ8qtDkoXLs/9\nss9x/Mk6yLEV8LuMLbYNg7loxvpfliWnL6Q6X3zxn5gx5xzIsoyA34crF/0UI88cg2+/3YP16zfi\npZdeRm3tIVNOv4/bfhkMBjFh4ll4f/ky+CTJcRJvuuFaDBgwAK+/vgyXXPIz1NbWOHLKfhl3/vE+\nbNmyA2vWfInnnnsG3+36DoDpz7714Sf45IsKrPx8nSPnTTf9BhMnTcXqjdvw5aYtOGnAAG5s2bo4\nsUueuZvPAHc0KFvpqAN4F4C11s/3Afg7gMsA/BrAagBXd7C+f1uxQa3EIlppZkO4fbV0OJDJ9JAH\nsjMAn4nWs0QpxbSh6Ab9ygaiDpv8pgjCp1lESgKcaD27ENlAmxP0IydoL0T0jVxmG5kItZecnJNJ\nLGYZks6nrkN+HyJWxJFbiGxCl+N3zl0ogoUoEvQ72y0VZqJycjJOkd3vcEB25EgJyG84IBM2owmI\nLUcxoQtNQHIiQb/jZLKOle0M23UorDNhyRR2qYMkD47NGHJrE8SMLsTBBdJmJDG1Sb/fJyE/J6Nv\nXWD3SEjOnDHxshlHHgxeTkFwISdAyCkItIQDWXRhfb4wEjSzcwaoSx1Ip8fWN0f4GH2ywYWMPgmb\nqaK5nJGTJXwpgS5EwYVwSEbYGr+knJpuQDXM7Rw2HnDOG4FbduBKaLOQn9Cn7olbIlIZDvoRtvFA\nMEdy/L6MLlyc4fycAIEHYkc1owuxM0zKKQoMmNl6Hl/FNhPrgsQDVYQHIb9w/OoCPHBzrHKCctZg\nI40HdB28zXQaDzSBzQhdkMExdhsuK0duyO+cF0u62Yycq5kqhGuNKNhI7rBIimwWkJ15yK3d1meK\nLDxQDXjajMVwfq0Rt5FD2CThaTO6r2Jd8G2QNiPHhaobTnCsIGwfpRA7b5Gg7GyzFfKYkN/RN49b\nvC50wfilbUbrEzAzQZLEE2wg49TIPim70yNJsPw/1zrsrBjnIDqOk6mzeCyG8887FyNHDsWwYT/B\nsmVv4oG770TVwUpMGDUc9955OwwAncqLAQBVVQcxZvhP8JtrrsKwM07DdVf9HF+sWYXJkyfi9NNP\nxebNm6EDuGLRQkwdPxoTRgzBK//8uyPH7373W1RWVmL6+FG4987bIfskvP3Gq5g5eRxGjRqGX/1q\nMTTNvA/giT//CcMHnYb5M6egct/3QhJ/zeWX4opLF2HOlPEYPHAAPv74I+czb7/xOqbNmo1NG9bh\nD3fchg/fW44zRw3HgQOVmDPnHLz5+mucPm/49bU4cOAA5s2bg8cffwwA8MLTT2D0sJ9gyuhheP7p\nJwHD1MOgQafhmqsux5TRw3H4UI2TWWqLRjFv3lyMHDkUI4cPxntvL4NPMtt5+41XMe2ssRg5MtNX\nwzDwxJ//hGFnmH1dfPkleOzRR1BVdRDDhv3EGWdPPfYIHnngXgDA668uxbhxo616roamafD5JNRU\nV2HSyCH4zXWLMWzoIMyZMwuJRAIGDCx77RWMHTEE08eNxHX/czlgAK+++grGjRuNsWcOx603XAtD\n153xSbKD119/FdNmzgYAfPn5GgSCQVz8iysd/O3Royeu+OVi7Ni6BeNGDkUqlUQ8FsPI4YPx7bc7\nAQBnzz4H77z5OiTrrPhfHrwP+QWFuP+BP2H06DF4+unncPXll6G1tQV+n4TOXbpi4Bnmhsn8/HwM\nGHAyag/XOjKxZztbWlrw5ZdfYuHFl0ICEM4JobCwyNUZjgT9TiA7wXChbKVDZwANw9gDYI/1cwqm\n4/frjtTxHykGMsAZEZMce9GJBGUTfGOKcCGKhGjCJ1ok8sMmyVH1DBkAaOD0a3wmKEWQ41zCsRJF\nTCMWyYmltHYQPhMs7UFkkyJ7e5GZnRPJ6UckaBLMlGBBNRc725nQhQu/SaBltCVVh0hSbZByaiYB\nkSSaSBXlZuQULUQRR44UTaQ0QRsOkaJ1YZMcRdXFdQQzrxVWCF2kNLO2oOxDnuVY8RFqzakjEpTR\nmkhnIVJEHaQ+7exxLkFyCMaXcHThd/aFk+/LEtmMzYKzNkupOk0eSIeFCC7ohgFZkigi5YwtluRQ\nNrPJLz8PSZuxEegUSXKCMhKKRl3MQ/bVdmTt4IKETJZR9mW2rrllFXIsmzXFXEh6iNYnBHIWRIKQ\ns0Tjw0G/MzeFgYEA62SSNsvgViToR1zR6ICQxutb0S1ylAUPyIsjhI6TYPza48bRZ0YVVB05ARnR\nlEpl54SYYp8TlujgWBHlUGcJsLW54AE1B2g8sMdfXk4AQdkHRePf4WnXYTdN6sL+OeT3OduPFSbr\nRdokEvKjLakKgwuRIDkHLOdMoj9jY6OJB+K1RlHt4JggUEgEPDl8JQOBARmKqrsErhjcsoYWmWW0\nxxaXwSZwSxgQcgm06IQyHDwIyQgFZCTTmhi3gjICVjTeHp+S028rOOaGBypts+Z4mn59hcBmPB6Y\nvxRGgtaYdsMDGfYXhbpgnGFRcMGcAzISaQ0pnbd7hLOZaTTKGSbxgLxh2hpHlM0IvLAlfnTVXvwn\nyj0zT6EyQc4ZNDJolUhg4tiRMAwDPp+EX91wIyDJ6NK1K959x9y+V9/UjH6DhuD73d9h3aa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ugGcF7vUhTkZPAg6Pfhqkn9sOa7o9h5qAUn5+fgTAsPVtQ0oSaawsxB3ZAfDuCNiirk+X2Y29vC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/lffZoWdCK3kBNgoJv/AJMOyUwRFYvDuzc/Us4Va2eqEWD449L6tjvJXYaaxOuPwA9PZnlZ7+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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111faa6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pick a list of sequence labels (here gatestrings) or indices to plot the estimated p(t) for\n",
    "gstrs = [pygsti.objects.GateString(None,'(Gx)^'+str(2**l)) for l in range(4,10)]\n",
    "# Hand this list to the plotting function\n",
    "results_gst.plot_multi_estimated_probabilities(gstrs,loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "** More details please? **\n",
    "\n",
    "Having provided an overview of the tools in the `drift` module, we now give a more detailed introduction to:\n",
    "1. The types of data that can be analyzed, and the format they must be imported in to use the `drift` module.\n",
    "2. The analysis methods that are used inside the `drift.do_basic_drift_characterization()`.\n",
    "3. How to access the various outputs returned by the analysis, and some details on how to interpret them. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Input data types and formats\n",
    "#### What types of data can be analyzed?\n",
    "\n",
    " The methods in this notebook can be used on data from any experiment that satisfies the following criteria: \n",
    "\n",
    "- The experiments consist of $S \\geq 1$ different circuits, or sequences, each with $M \\geq 2$ possible outcomes with $M$ the same for all $S$ circuits.\n",
    "\n",
    "\n",
    "- Sequence $s$ is repeated, and one of the $M$ outcomes is recorded, $N$ times during each of $T$ different time-intervals, with $N$ and $T$ the same for all sequences $s$. Let $\\tau_{s,1},\\tau_{s,2},\\dots,\\tau_{s,T}$ denote times associated with these time-intervals (e.g., the start time or mid-point of each interval).\n",
    "\n",
    "\n",
    "- The time-gap between consecutive sets of $N$ repeats of a sequence is approximately constant, and approximately independent of sequence. That is $t_{s,gap} \\approx \\tau_{s,t+1} - \\tau_{s,t}$ for all $s,t$ and some constant $t_{s,gap}$ (the time gap is constant for each sequence), and $t_{gap} \\equiv t_{s,gap} \\approx t_{s',gap}$ for all $s,s'$ (the time gap is the same for every sequence).\n",
    "\n",
    "#### What type of circuits can the data come from?\n",
    "\n",
    "Many characterization routines, including GST, RPE, restricted sets of GST sequences (e.g., Ramsey sequences) or RB, satisfy the above criteria *if* a suitable time-ordering for the repeats of all of the sequences is chosen.\n",
    "\n",
    "An example is a full set of GST sequences, with sequence 1 repeated $N=5$ times, then sequence 2 repeated $N=5$ times, etc, with this entire procedure looped through $T = 500$ times. As long as each circuit follows on from the following circuit with a roughly constant time gap, then -- even if the different circuits take varying times to implement -- the time-gaps between consecutive sets of $N$ repeats of each circuit are all the same.\n",
    "\n",
    "To obtain best performance, it is preferable to minimize $N$ and maximize $T$ for the same fixed $N \\times T$ (this will provide better detection for high frequency drift).\n",
    "\n",
    "\n",
    "#### What input formats can be used?\n",
    "\n",
    "Two data formats are allowed:\n",
    "\n",
    "1. Data can be provided to the analysis function in a `pyGSTi` dataset, which can be imported using the `pygsti.io.load_tddataset()` function, demostrated above. The automated input for this currently has limited functionality, and the analysis is much slower when using this form of input. However, this method has the advantage of simplicity: minimal user specification is required when the analysis uses such a dataset.\n",
    "\n",
    "2. Data can be provided to the analysis function as an ordinary numpy array. The analysis is faster when using this format. The array can have a range of different dimensions, but the most flexible format is when the array is 4 dimensional. \n",
    "\n",
    "Here we will explain the format when the array is 4 dimensional, below we will demonstrate the method with lower dimensional arrays. When the input array is 4 dimensional, the input data format is a numpy array $A$ of dimension $(S \\times E \\times M_{\\rm marg} \\times T)$, where\n",
    "1. $S$ is the number of sequences,\n",
    "2. $E$ is the number of \"entities\" (often 1; and more on this below),\n",
    "3. $M$ is the number of possible measurement outcomes for each circuit,\n",
    "4. $T$ is the number of timesteps.\n",
    "\n",
    "The matrix element $A[s,e,m,t]$ should record the number of counts (a value in $0,1,\\dots,N-1$) for measurement outcome $m$, on entity $e$, for sequence $s$, with the $t^{\\rm th}$ set of repeats for that sequence.\n",
    "\n",
    "The aspect of this array that is perhaps least inuitive is the \"entities\" concept. This allows the storing of independent data for the same circuits, timestamps, and the same possible measurement outcomes for more than one \"entity\". For example, if multiple single-qubit experiments are implemented in parallel, and any correlations between measurement outcomes are discarded, the data from each qubit can be stored with different entity indexes. This then allows for two things:\n",
    "\n",
    "1. The analysis function independently looks for drift in each entity.\n",
    "2. The analysis function combines the data from all entities, to see if that has evidence for drift which was not evident in the analysis of each entity independently. For example, weak evidence for drift in each entity can combine to convincing evidence for drift in the device as a whole.\n",
    "\n",
    "Later we will discuss further how to use this \"entities\" concept to optimize data analysis, via examples.\n",
    "\n",
    "As shown below, the input data is stored in the results object as an $(S \\times E \\times M \\times T)$ array, \n",
    "which is the same format as can be used for the input. In our GST example there are 3121 sequences ($S = 3121$), a single entity ($E = 1$), two-outcome measurements ($M=2)$, and 500 timesteps ($T=500$)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3121, 1, 2, 500)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "np.shape(results_gst.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## The analysis methods\n",
    "\n",
    "#### What is the aim of the methods in this tutorial?\n",
    "\n",
    "The analysis presented in this tutorial has two purposes: to detect and characterize drift. To explain this further, we need to define what we mean by drift.\n",
    "\n",
    "There is an underlying probability for circuit $s$ to output the measurement outcome $m$ at time $t$. Denote this by $p_{s,m,t}$, and assume these probabilities satisfy $\\sum_m p_{s,m,t} = 1$ for all $s$ and $t$ (i.e., one of the $M$ measurement outcomes is always observed). By definition, there is no drift if $p_{s,m,t} = p_{s,m,t'}$ for all $s,m,t,t'$. Otherwise there is drift. \n",
    "\n",
    "In the experiments considered herein, we are essentially taking $N$ samples from a multinomial probability distribution with probability vector $(p_{s,0,t},p_{s,1,t},\\dots)$ for each $s$ and $m$, at a set of equally-spaced times. As such, the data allows us to estimate properties of the vectors:\n",
    "\n",
    "$$ \\boldsymbol{p}_{s,m} = (p_{s,m,t_1},p_{s,m,t_2},\\dots,p_{s,m,t_3}).$$\n",
    "\n",
    "The aim of our analysis is:\n",
    "\n",
    "1. **Drift Detection:** Starting from the assumption that there is no drift, decide whether there is statistically significant evidence in the data that $p_{s,m,t}$ is *not* independent of $t$.\n",
    "2. **Drift characterization:** Estimate $p_{s,m,t}$ for all sample times $t$.\n",
    "\n",
    "The drift detection and characterization works via spectral analysis, by implement a type of discrete Fourier transform on the data and looking for peaks in the power spectrum that are larger than would be expected if there was no drift.\n",
    "\n",
    "Specifically, consider a data vector $\\boldsymbol{x}=(x_0,x_1,\\dots,x_{T-1})$, of the number of counts observed for measurement outcome $m$ with sequence $s$ as a function of time $t \\in [0,1,\\dots,T]$. We remove the data mean from this vector, and renormalize it in a particular way, to obtain the $\\boldsymbol{z}$ vector, defined by:\n",
    "\n",
    "$$\n",
    "z_{s,m,t} = \\frac{x_{s,m,t} - \\bar{x}_{s,m}}{\\sqrt{ N\\bar{x}_{s,m}(1- \\bar{x}_{s,m})}},\n",
    "$$\n",
    "\n",
    "We won't fully explain the reasons for this mapping on $\\boldsymbol{x}$ here, except to note that (1) it is not essential, and (2) the motivation is that -- after this mapping -- the statisical behaviour of the random variable from which $\\boldsymbol{z}$ is drawn, when there is no drift, is largely independent of $N$ and the value of the time-independent probabilitiy $p_{s,m}$.\n",
    "\n",
    "We then perform a Fourier transform on the data -- specifically, we implement a Type-II orthogonal discrete cosine transform (DCT) -- to obtain Fourier modes $ \\tilde{\\boldsymbol{z}}_{s,m} = F \\boldsymbol{z}_{s,m}$. The precise definition of this transform is not important for obtaining an intuitive understanding of this method, but for completeness it is defined by:\n",
    "\n",
    "\\begin{align}\n",
    "F_{\\omega,t} =\\sqrt{\\frac{2^{1-\\delta_{\\omega,0}}}{N}} \\cos\\left(\\frac{\\omega \\pi}{N}\\left( t + \\frac{1}{2}\\right)\\right), \n",
    "\\end{align}\n",
    "with $\\omega,t=0,\\dots,N-1$.\n",
    "\n",
    "We then square these Fourier modes, to obtain a power spectrum $\\tilde{\\boldsymbol{z}}_{s,m}^2$ for each measurement outcome and each sequence. It is these power spectra that we analyze to detect and characterize drift. We can look at the individual power spectra for a particular sequence and measurement outcome. Using the central limit theorem and some statistics (which we will not cover here), it can be show that -  when there is no drift - each Fourier mode is approximately a zero-mean unit-variance $\\chi^2_1$ random variable. As such, we can calculate the probability that a spike in a power spectrum is due to random statistical flucations, and if this probability is low enough then we can be confident the peak is due to drift. I.e., the underlying $p(t)$ is not constant.\n",
    "\n",
    "We can also average these power spectra over measurement outcomes, and/or over sequences (and over entities, which haven't been discused above, and on which this entire analysis is independently performed). When averaging over all of these quantities, we obtain the global power spectrum presented above. The advantage of this averaging is that it supresses noise from random flucations, but does not supress any \"signal\" due to nonconstant $p(t)$ - as long as the same frequencies are present in many of the power spectra that are being averaged.\n",
    "\n",
    "Before explaining any more of the analysis methods, we turn to a simple example."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Example 1 : Single sequence data\n",
    "We demonstrate this on single-sequence data, for a single entity, with two-outcome measurements. This is the circumstance under which the analysis function can be given data in a 1D array, and so we will use this method below. We now demonstrate the method with simulated data for a drifting and drift free probability.\n",
    "\n",
    "Below we use a drifting probability of\n",
    "$$ p(t) = 0.5 + 0.2 \\cos(0.1 t).,$$\n",
    "with integer $t$ in the range $0,1,2,\\dots,T$.\n",
    "This is similar in form to the drifting probability that would be obtained with certain sorts of Ramsey experiment with drifting $\\sigma_z$ over-rotation angle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# Imports for generating fake data to demonstrate the methods.\n",
    "from numpy.random import binomial\n",
    "from numpy.random import multinomial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Due to input array format, analysis is defaulting to assuming:\n",
      "  - single-sequence data\n",
      "  - single entity data\n",
      "  - two-outcome measurements\n",
      "\n",
      "Due to input array format, analysis is defaulting to assuming:\n",
      "  - single-sequence data\n",
      "  - single entity data\n",
      "  - two-outcome measurements\n",
      "\n"
     ]
    }
   ],
   "source": [
    "N = 5 # Counts per timestep\n",
    "T = 100 # Number of timesteps\n",
    "\n",
    "# The confidence of the statistical tests. Here we set it to 0.999, which means that\n",
    "# if we detect drift we are 0.999 confident that we haven't incorrectly rejected the\n",
    "# initial hypothesis of no drift.\n",
    "confidence = 0.999\n",
    "\n",
    "# A drifting probability to obtain the measurement outcome with index 1 (out of [0,1])\n",
    "def pt_drift(t): return 0.5+0.2*np.cos(0.1*t)\n",
    "\n",
    "# A drift-free probability to obtain the measurement outcome with index 1 (out of [0,1])\n",
    "def pt_nodrift(t): return 0.5\n",
    "\n",
    "# If we want the sequence to have a label, we define a list for this (here, a list of length 1).\n",
    "# The labels can, but need not be, pyGSTi GateString objects.\n",
    "sequences = [pygsti.objects.GateString(None,'Gx(Gi)^64Gx'),]\n",
    "\n",
    "# If we want the outcomes to have labels, we define a list for this.\n",
    "outcomes = ['0','1']\n",
    "\n",
    "# Let's create some fake data by sampling from these p(t) at integer times. Here we have\n",
    "# created a 1D array, but we could have instead created a 1 x 1 x 1 x T array.\n",
    "data_1seq_drift = np.array([binomial(N,pt_drift(t)) for t in range(0,T)])\n",
    "data_1seq_nodrift = np.array([binomial(N,pt_nodrift(t)) for t in range(0,T)])\n",
    "\n",
    "# If we want frequencies in Hertz, we need to specify the timestep in seconds. If this isn't\n",
    "# specified, the frequencies are given in 1/timestep with timestep defaulting to 1.\n",
    "timestep = 1e-5\n",
    "\n",
    "# We hand these 1D arrays to the analysis function, along with the number of counts, and other\n",
    "# optional information\n",
    "results_1seq_drift = drift.do_basic_drift_characterization(data_1seq_drift, counts=N, outcomes=outcomes,\n",
    "                                                           confidence=confidence, timestep=timestep, \n",
    "                                                           indices_to_sequences=sequences)\n",
    "results_1seq_nodrift = drift.do_basic_drift_characterization(data_1seq_nodrift, counts=N, outcomes=outcomes, \n",
    "                                                             confidence=confidence, timestep=timestep, \n",
    "                                                             indices_to_sequences=sequences)                                                    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "We can now compare the global power spectrum obtained when there is drift, and when there is not drift. Except in highly unusual cases (1 in 1000) there will be no drift detected when there is indeed no drift. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
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04ZZbbskRx5dffknnzp1JTk4mKSmJ5cuXFxjb/PnzOfHEE+nQoQN9+/bl559/BuDrr7/m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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1112bf208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_1seq_drift.plot_power_spectrum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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p0qU0adIEgAMHDlChQgXKly9P9erV+fbbb6lRowZr166lRYsWjBo1KmR6Ecl+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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111f76c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_1seq_nodrift.plot_power_spectrum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "We can look to see what the p-value associated with the largest peak in the power spectrum is. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7.991425358122584e-07\n",
      "0.7817098234261552\n"
     ]
    }
   ],
   "source": [
    "print(results_1seq_drift.global_pvalue)\n",
    "print(results_1seq_nodrift.global_pvalue)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The analysis function performs:\n",
    "1. an analysis on a per-sequence, per-entity, per-outcome basis (properties starting with `pspepo`), an analysis on a per-sequence, per-entity, outcome-averaged basis (properties starting with `pspe`), \n",
    "2. an analysis on a per-sequence, entity-averaged, outcome-averaged basis (properties starting with `ps`), \n",
    "3. an analysis on a sequence-averaged, per-entity, outcome-averaged basis (properties starting with `pe`),\n",
    "4. a global analysis on a sequence-averaged, entity-averaged, outcome-averaged basis (properties starting with `global`)\n",
    "\n",
    "That is, it inspects all the power spectra, after the relevant averaging has been performed, for evidence of drift (e.g., for case 1 there are $S \\times E \\times M \\times T$ spectra).\n",
    "\n",
    "In the example here there is a single sequence, a single entity, and two-outcome measurements. Hence, in this case all of the analyzes are exactly equivalent, as is clear by noting that all of the power spectra are the same:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5.69952004e-31 1.40665650e+00 7.38902753e-01 3.32771959e+01]\n",
      "[5.69952004e-31 1.40665650e+00 7.38902753e-01 3.32771959e+01]\n",
      "[5.69952004e-31 1.40665650e+00 7.38902753e-01 3.32771959e+01]\n",
      "[5.69952004e-31 1.40665650e+00 7.38902753e-01 3.32771959e+01]\n",
      "[5.69952004e-31 1.40665650e+00 7.38902753e-01 3.32771959e+01]\n",
      "[5.69952004e-31 1.40665650e+00 7.38902753e-01 3.32771959e+01]\n"
     ]
    }
   ],
   "source": [
    "# The power spectrum obtained after averaging over everthing\n",
    "print(results_1seq_drift.global_power_spectrum[:4])\n",
    "# The power spectrum obtained after averaging over everthing except sequence label\n",
    "print(results_1seq_drift.ps_power_spectrum[0,:4])\n",
    "# The power spectrum obtained after averaging over everthing except entity label\n",
    "print(results_1seq_drift.pe_power_spectrum[0,:4])\n",
    "# The power spectrum obtained after averaging over everthing except sequene and entity label\n",
    "print(results_1seq_drift.pspe_power_spectrum[0,0,:4])\n",
    "# The two power spectra obtained after averaging over nothing\n",
    "print(results_1seq_drift.pspepo_power_spectrum[0,0,0,:4])\n",
    "print(results_1seq_drift.pspepo_power_spectrum[0,0,1,:4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "As we can see above, the power spectra for the two different measurement outcomes are identical. This is because the Fourier modes for all of the measurement outcomes must sum to zero. Hence, there are only $M-1$ independent power spectra, which here is 1.\n",
    "\n",
    "As already demonstrated above, the analysis function also creates an estimate for the drift probability for each measurement outcome (and for each sequence, and each entity, but here there is only one of each of these). This estimate is created in the following way:\n",
    "\n",
    "1. Inspect the relevant power spectrum (the power spectrum for the sequence, entity, and measurement outcome under consideration).\n",
    "2. Take the modes obtained from the data, and set all modes with power below the \"significance threshold\" to zero. This significance threshold is generally adjusted for the number of sequences and entities considered, which is not relevant in this case but is discussed below.\n",
    "3. Keep all modes with power above the significance threshold and invert the Fourier transform.\n",
    "4. This is the estimate of $p(t)$, up to some final adjustments to guarantee that $p(t)$ is within $[0,1]$.\n",
    "\n",
    "Because we have created our data from a known underlying $p(t)$ we can compare our estimate of $p(t)$ with the true $p(t)$. We do this below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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uUHlrbYW2tvxnW5tt7woRU6QSCUvJZH5bVZV9TyQGxlpXaFHM5aC93codb4+V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\nhBBCCCGESBESAAohhBBCCCFEivj/9mh4bbLVkWEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111722e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets create an array of the true probability. This needs to be\n",
    "# of dimension S x E x M x T\n",
    "parray_1seq = np.zeros((1,1,2,T),float)\n",
    "parray_1seq[0,0,0,:] = np.array([pt_drift(t) for t in range(0,T)])\n",
    "parray_1seq[0,0,1,:] = 1 - parray_1seq[0,0,0,:]\n",
    "\n",
    "# The measurement outcome index we want to look at (here the esimated p(t) \n",
    "# for one index is just 1 - the p(t) for the other index, because we are\n",
    "# looking at a two-outcome measurement).\n",
    "outcome = 1\n",
    "\n",
    "# If we hand the parray to the plotting function, it will also plot\n",
    "# the true probability alongside our estimate from the data\n",
    "results_1seq_drift.plot_estimated_probability(sequence=0,outcome=outcome,parray=parray_1seq,plot_data=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Example 2 : Single-sequence multi-qubit data\n",
    "Single sequence data with two measurement outcomes is (a) often not will be obtained in experiments, and (b) is not sufficient to demonstrate all of the methods contained within the analysis function, or to understand all of the ouput. Hence, we now consider an example with a single-sequence and 4 measurement outcomes, which could represent a two-qubit single-sequence experiment.\n",
    "\n",
    "Let us consider the case of 4 possible measurement outcomes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# We only explicitly name them for labelling purposes.\n",
    "outcomes = ['00','01','10','11']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "This could correspond to computational basis measurements of two qubits. Now let us assume that the drifting $p(t)$ for obtaining each measurement outcome factorizes into probabilities for outcomes 0 and 1 for each qubit (e.g., because it is parallel single-qubit experiments and there is no crosstalk). Specifically, take the first qubit to have drifting probability for outcome 0 of\n",
    "$$ p_{0}(t) = 0.5+0.05 \\cos(0.08t),$$\n",
    "and the second qubit to have drifting probability for outcome 0 of\n",
    "$$ p_{0}(t) = 0.5+0.05 \\cos(0.2t),$$\n",
    "with $t \\in [0,1,\\dots, T]$.\n",
    "\n",
    "Let's create some data from these drifting probabilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "N = 10 # Counts per timestep\n",
    "T = 1000 # Number of timesteps\n",
    "\n",
    "# The drifting probabilities for the 4 outcomes\n",
    "def pt00(t): return (0.5+0.07*np.cos(0.08*t))*(0.5+0.08*np.cos(0.2*t))\n",
    "def pt01(t): return (0.5+0.07*np.cos(0.08*t))*(0.5-0.08*np.cos(0.2*t))\n",
    "def pt10(t): return (0.5-0.07*np.cos(0.08*t))*(0.5+0.08*np.cos(0.2*t))\n",
    "def pt11(t): return (0.5-0.07*np.cos(0.08*t))*(0.5-0.08*np.cos(0.2*t))\n",
    "\n",
    "# Because of the type of input (>2 measurement outcomes), we must record the\n",
    "# data in a 4D array (even though some of the dimensions are trivial)\n",
    "data_multiqubit = np.zeros((1,1,4,T),float)\n",
    "\n",
    "# Generate data from these p(t)\n",
    "for t in range(0,T):\n",
    "    data_multiqubit[0,0,:,t] = multinomial(N,[pt00(t),pt01(t),pt10(t),pt11(t)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### Example 2.1 : A simple analysis of the full dataset\n",
    "The simplest way to analyze this data is just to hand it to the drift characterization method, as before (note that now we don't need to specify the counts number, as the input is a 4D array). We do this below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "results_multiqubit_full = drift.do_basic_drift_characterization(data_multiqubit,outcomes=outcomes,confidence=0.99)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "By looking at the global power spectrum, we can clearly see that there is drift."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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BaNGiBXfccQcpKSl07dqVjz/+mEGDBnHaaafxxBNPxOonFimXCu2901r7HfBd4P1eY8wG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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1118a3390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_multiqubit_full.plot_power_spectrum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "As always, we can also return the frequencies, found from inspecting the global power spectrum. As we have not specified a timestep, these are integers between $1$ and $T-1$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[25 64]\n"
     ]
    }
   ],
   "source": [
    "print(results_multiqubit_full.global_drift_frequencies)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Because there are multiple measurement outcomes, we can look at the power spectra for each of these, and also we can look at the drift frequencies found from just analyzing this spectrum. One example of such a power spectrum is given below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UnfT0dC655BIL+IwxJUpEuOSSS2xUgTGm1FnQ51K1iVyMOZtZwGeMKQ32XWOM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\nAADAwoQ+AACAhQl9AAAAC/sB2NsnAD6NAjUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1118b6cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outcome = 0 # the outcome index associated with the '00' outcome\n",
    "results_multiqubit_full.plot_power_spectrum(sequence=0,entity=0,outcome=outcome)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The drift frequencies found via an independent analysis of each of these spectra. Generally, these need not contain the same frequencies as the global analysis. In this example, because all of the frequencies appear in all of the spectra, the global analysis is more sensitive (reduced noise without reducing signal strength). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[64]\n",
      "[64]\n",
      "[64]\n",
      "[64]\n"
     ]
    }
   ],
   "source": [
    "print(results_multiqubit_full.pspepo_drift_frequencies[0,0,0])\n",
    "print(results_multiqubit_full.pspepo_drift_frequencies[0,0,1])\n",
    "print(results_multiqubit_full.pspepo_drift_frequencies[0,0,2])\n",
    "print(results_multiqubit_full.pspepo_drift_frequencies[0,0,3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "As always, we can also look at the reconstruction for a given drifting probability. An example is shown below, where again we construct the true underlying probability with which to compare it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UVY0vpcDrwR8Ike/1UDW+8+llpZRSSimlDmax9wDOmTOHU045hSuvvBKPx0N+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\ngiAIgiAIwhmCdAAFQRAEQRAEQRDOEP4//ftOycQ8AYUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111fa3240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creates an array of the true probability.\n",
    "parray_multiqubit_full = np.zeros((1,1,4,T),float)\n",
    "parray_multiqubit_full[0,0,0,:] = np.array([pt00(t) for t in range(0,T)])\n",
    "parray_multiqubit_full[0,0,1,:] = np.array([pt01(t) for t in range(0,T)])\n",
    "parray_multiqubit_full[0,0,2,:] = np.array([pt10(t) for t in range(0,T)])\n",
    "parray_multiqubit_full[0,0,3,:] = np.array([pt11(t) for t in range(0,T)])\n",
    "\n",
    "results_multiqubit_full.plot_estimated_probability(sequence=0,outcome=1, plot_data=True,\n",
    "                                                   parray=parray_multiqubit_full)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### Example 2.2 : Marginalizing over qubits\n",
    "\n",
    "The above analysis looks for drift in the $2^2$ measurements outcomes of a two-qubit circuit. This would be problematic for many qubits, as for $Q$ qubits there is $2^Q$ possible measurement outcomes, and the probability of any one outcome being observed will - for many circuits - converge to zero as $Q$ increases. Then, even for very large $T$, there could be, e.g., at most 2 counts for any one measurement outcome, and the power spectra obtained will be useless.\n",
    "\n",
    "However, it is likely in many circumstances that any drift will show up in the marginalized probabilities for obtaining 0 or 1 of each qubit. E.g., in the example above this is precisely what is drifting. We can implement an analysis like this by specifying that the analysis function marginalizes.\n",
    "\n",
    "To do this in an automated way, we specify ` marginalize = 'std'`. This then assumes that the data is such that the 0th indexed outcomes is the bitstring 0...0000, the 1st indexed outcome is the bitstring 0...0001, etc. It then associates the first qubit with entity 0 (where first qubit has its measurement outcome recorded as the first bit in the string), the second qubit with entity 1 and so on.\n",
    "\n",
    "Note that, when using this method, the input data array grows exponentially in the number of qubits. As such, pre-marginalizing will be preferable for a large number of qubits, in which case the data for different qubits should be stored with different \"entity\" indices.\n",
    "\n",
    "Below we demonstrate this method on the same data as analyzed above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "results_multiqubit_marg = drift.do_basic_drift_characterization(data_multiqubit, outcomes=outcomes, \n",
    "                                                                marginalize = 'std', confidence=0.99)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "As we can see from the returned data shape, the data has been split into separate sets for 2 different entities, each have two possible measurement outcomes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2, 2, 1000)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(results_multiqubit_marg.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "As always, we can plot the global power spectrum (averaged over everything, including entity, i.e., qubit)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kkUdo27YtSUlJjBgxAihY4jJmzBhuuOEGevToQYsWLfKD1ry8PK699lpat25N\n//79GTRoUNiAtjRpmDhxIsuXLyc5OZlp06aRm5vLLbfcQteuXUlKSuKJJ54A4LvvvqN3794kJyfT\nvn17li9fzsSJEzlw4ADJycmMGjWqwHJzc3MZM2ZM/u81bdq0/G3y0vr222/TunVrOnfuzA033JBf\najV58mTGjh1LamoqLVq04JFHHslfbp06dQAXHO/bt4/OnTszd+5cJk+ezNSpU4s8fvbt20ffvn3z\nfz/vmMzMzKRNmzZceeWVtGvXjgEDBuQfD+GWA/DQQw/l759JkyaF3aeh+yU3NzfsOlJTU5kwYQJd\nunThH//4Bzt37uSCCy6ga9eudO3alZUrVwLw3nvvkZycTHJyMh07dmTv3r2AO/5Cj32AJUuW0LFj\nRxITExk7diwHDx4slM6nn36ali1b0q1bt/z1RJ21NqYvIAHIAPbhSvgaAF/6pjcFPiviu1cBq4HV\nJ598sq1Mxo+3Fqz9xz/KOyUiIiJSkvXr1xf43KdPn0KvGTNmWGut3b9/f9jpTz/9tLXW2p07dxaa\nVpKXX37ZXn755fmfn332WXvdddcVmm/kyJF2+vTp1lprX331VQvYH3/80b777ru2R48edv/+/Xbn\nzp22efPmdurUqYW+361bN/vaa69Za609cOCA3b9/v33llVdsv379bE5Ojv3+++9t06ZN7f/+9z+7\ndOlSe/TRR9tvv/3W5ubm2tNPP90uX77cWmvt6NGj7csvv2yttfbrr7+27dq1s9Za+/DDD9vLLrvM\nWmvt2rVrbUJCgv3oo4/szp07ba9evey+ffustdY++OCD9p577rHWWvu73/3OPvLII9Zaa2fMmJG/\nH2699VZ744035qf9p59+KnY5fo0bN7ZZWVnWWmt3795trbX26aefzt+no0ePtsOGDbO5ubn2888/\nt6ecckr+73DOOefY3Nxc+91339l69erlb2efPn1K3Ba/pUuX2nPPPTf/8xNPPGHvvfdea621WVlZ\ntnPnznbLli126tSp9r777rPWWpuTk2N/+eUXa621tWvXLrRMa61dvXq17devX/5nb/u83+TAgQO2\nSZMmdsuWLdZaa0eMGJGfjkmTJtmUlBSblZVld+7caY877jh76NChQuvzD0+aNMk+9NBD1trwx092\ndrbds2ePtdYd+6eccorNy8uzX3/9tU1ISLCffPKJtdba4cOH2zlz5hS5nHfffddeeeWVNi8vz+bm\n5tpzzz3Xvvfee4W235+24tbRp08fe8011+TPO3LkyPzjd+vWrbZ169bWWmsHDx5sV6xYYa21du/e\nvTY7O7vIY9/bt1988YW11trIMEjNAAAgAElEQVRLLrnETps2LX99H330kf3f//5nmzZtan/44Qd7\n8OBB26NHj7D/ZWsLn3estRZYbUsRg1Utm1Cy2CAzF0g2xtQD/g20juC7s4BZAF26dKlUrd9U0ici\nIiLRNnXqVMaPH8/s2bPp3bs3J510EgkJCQwYMICPPvqIHj160LBhQ1JSUkhISCjw3b1797J9+3aG\nDh0KQM2aNQFYsWIFI0eOJCEhgeOPP54+ffrw0UcfcfTRR9OtWzeaNGkCQHJyMpmZmZxxxhlFpm/Z\nsmXccMMNACQlJZGUlATA+++/z/r16+nZsycAhw4dIiUlJf97559/PgCdO3fmtddeA2Dx4sW89NJL\n+fMce+yxvPXWW8Uux5OUlMSoUaM477zzOO+88BXOzjvvPKpUqULbtm3ZsWNH/r4YPnw4VapU4YQT\nTuDMM88s9L2StqUoCxcuZN26dfmlcXv27GHz5s107dqVsWPHkp2dzXnnnUdycnKxy2nRogVbtmzh\n+uuv59xzz2XAgAEFpm/cuJEWLVrQvHlzAEaOHMmsWbPyp5977rnUqFGDGjVq0KhRI3bs2JH/Gxen\nqOMnOzubv/zlLyxbtowqVaqwffv2/P3ZvHnz/O3p3LkzmZmZRS5n4cKFLFy4kI4dOwKupG3z5s30\n7t272HSFW4fnj3/8Y/7w4sWLC1SZ/uWXX9i3bx89e/bk5ptvZtSoUZx//vn5+yLcsV+3bl2aN29O\ny5YtARg9ejQzZsxgwoQJ+cv94IMPSE1NpWHDhvlp2LRpU4n7N1IxD/o81tqfjTFLgRSgnjGmqrU2\nB2gCbC+vdJUXBX0iIiIVV1paWpHTjjrqqGKnN2jQoNjp4Zx00kl8++23+Z+3bdvGSSedVGi+E088\nMT8o2rdvH6+++ir16tUD4I477uCOO+4A4KKLLsq/MT0SNWrUyB9OSEg47LZR1lr69+/Piy++WOx6\nSlpHScvxLFiwgGXLlvHmm29y//338+mnnxa5Tm+5pVVUGj744APGjRsHuPZ1Rx99dKHvPfroowwc\nOLDQMpctW8aCBQsYM2YMN998c7Ft6I499ljWrl3Lu+++y8yZM5k3bx5PPfVUqdMfrd/U8/zzz7Nz\n507WrFlDtWrVaNasGVlZWWHX5a/uG8pay+23356/D0uruHXUrl07fzgvL4/3338/P8j0TJw4kXPP\nPZe3336bnj178u6774Zdbry1C4x1750NAyV8GGNqAf2BDcBSwOvGaTRQuFJ6JaegT0REREqra9eu\nbN68ma+//ppDhw7x0ksvMWTIkELz/fjjj+QFbi6mTJnC2LFjAdeuadeuXQCsW7eOdevWFSoBqlu3\nLk2aNOH1118H4ODBg/z666/06tWLuXPnkpuby86dO1m2bBndunU7rO3o3bt3fucln332GevWrQPg\n9NNPZ+XKlXz55ZcA7N+/v8TSj/79+zNjxoz8z7t37y7VcvLy8vj2228588wz+dvf/saePXvCtrkL\np2fPnrz66qvk5eWxY8eOsMF7UWno3r07GRkZZGRkMGTIEOrWrZvfPgxg4MCBPP7442RnZwOwadMm\n9u/fz9atWzn++OO58sorueKKK/j4448BqFatWv68ft4xcMEFF3Dfffflz+9p1aoVW7ZsyS/xilZP\nrkUdP3v27KFRo0ZUq1aNpUuXsnXr1sNazsCBA3nqqafyf6vt27fzww8/FPp+UfulJAMGDODRRx/N\n/5yRkQHAV199RWJiIrfddhtdu3bNb1MaTqtWrcjMzMz/7efMmUOfPn0KzNO9e3fee+89du3aRXZ2\nNi+//HLEaS2NWPfe2RhYaoxZB3wELLLWvgXcBtxsjPkSqA88GeN0lTs9skFERERKq2rVqvzzn/9k\n4MCBtGnThgsvvJB27doBriv+N954A3AlkK1ataJly5bs2LEjv2QvOzubXr160bZtW6666iqee+45\nqlYtXAFszpw5PPLIIyQlJdGjRw++//57hg4dSlJSEh06dOCss87i73//OyeccMJhbcc111zDvn37\naNOmDXfffTedO3cGoGHDhsyePZuRI0eSlJRESkpKsTfXAHfeeSe7d++mffv2dOjQgaVLl5ZqObm5\nuVx88cUkJibSsWNHbrjhhvzS0JJccMEFNGnShLZt23LxxRfTqVMnjjnmmALzlHZbkpKSSEhIoEOH\nDkybNo0rrriCtm3b0qlTJ9q3b8+4cePIyckhLS2NDh060LFjR+bOncuNN94IwFVXXZVfTdVv+/bt\npKamkpyczMUXX8yUKVMKTK9VqxaPPfYYZ599Np07d6Zu3bqFtuFwhTt+Ro0axerVq0lMTOTZZ5+l\ndeuSW3qFW86AAQO46KKLSElJITExkWHDhhUImj1F7ZeSPPLII6xevZqkpCTatm3LzJkzAZg+fTrt\n27cnKSmJatWqcc455xS5jJo1a/L0008zfPhwEhMTqVKlCldffXWBeRo3bszkyZNJSUmhZ8+etGnT\nJqJ0lpaJpHg6nnTp0sXGy3NcouHyy+Gpp+DBB+G228o7NSIiIlKcDRs2lNnNmVQs+/bto06dOuza\ntSu/98XDDYLLi7cN1lquu+46TjvtNG666abyTpaECHfeMcassdZ2Kem75damTwpS9U4RERGRimfw\n4MH8/PPPHDp0iLvuuqvCBXwA//d//8czzzzDoUOH6NixY8Tt5CT+KeiLE6reKSIiIlLxRNoJTzy6\n6aabVLJXycW6TZ8UQSV9IiIiIiJSFhT0xQmvhE9Bn4iISMVQUftFEJGK50jPNwr64oRK+kRERCqO\nmjVrsmvXLgV+IlLmrLXs2rWr0DMDI6E2fXFCbfpEREQqjiZNmrBt2zZ27txZ3kkRkd+AmjVr0qRJ\nk8P+voK+OKGSPhERkYqjWrVqNG/evLyTISJSKqreGScU9ImIiIiISFlQ0BcnVL1TRERERETKgoK+\nOKGSPhERERERKQsK+uKEgj4RERERESkLCvrihII+EREREREpCwr64oTa9ImIiIiISFlQ0BcnVNIn\nIiIiIiJlodRBnzGmpjHmoDHmvLJM0G+Vgj4RERERESkLpQ76rLVZwA9ATtkl57dL1TtFRERERKQs\nRFq98wngBmNMtbJIzG+ZSvpERERERKQsVI1w/npAeyDTGLME2AH4y6astfa2aCXut0RBn4iIiIiI\nlIVIg74LgIOB4V5hpltAQd9hUNAnIiIiIiJlIaKgz1rbvKwS8lvnteVTmz4REREREYkmPbIhTqik\nT0REREREykLEQZ8xJskYM9cY81XgEQ6dAuPvN8acE/0kxkZ6OkyZ4t7Lg4I+EREREREpCxEFfYGg\nbg1wAvAs4O/F8yBwffSSFjvp6XDmmXDXXdC3b/kEfgr6RERERESkLERa0jcFmG2t7QPcHzItA0iO\nSqpiLC0NDh6E3Fw4dMh9jjU9p09ERERERMpCpEFfa2BuYDg0PPkFOO6IU1QO+vQJDlevDqmpsU+D\nSvpERERERKQsRBr0/QC0KGJaO+CbI0tO+ejePTi8ZAmkpMQ+DQr6RERERESkLEQa9L0E/NUYc4Zv\nnDXGtMQ9n+/5qKUshnJzg8PlEfCBqneKiIiIiEjZiPTh7HcBbYH3gO8D4+bjOnZZCDwQvaTFjj/o\nKy8q6RMRERERkbIQ6cPZDwKDjTF9gb5AA+AnYIm1dlFJ3zfGNMX1+nk8rk3gLGvtP4wxx+HaCjYD\nMoELrbW7I0nbkVDQJyIiIiIilVWkJX0AWGuXAEsO46s5wJ+stR8bY+oCa4wxi4AxuMDxQWPMRGAi\nrrpoTCjoExERERGRyirS5/QtN8Y8YIw52xhzdKQrs9Z+Z639ODC8F9gAnAT8AXgmMNszwHmRLvtI\n5OTEcm3hqU2fiIiIiIiUhUg7cskABgFvAbuMMZ8YYx4xxgw3xpwQyYKMMc2AjsAHwPHW2u8Ck77H\nVf+MGZX0iYiIiIhIZRVpm77rAYwxxwC9gDOA3sBVQDVjzBZr7WklLccYUwd4FZhgrf3FGONfhzXG\nhC3vMsZcFVgXJ598ciRJL5aCPhERERERqawiLekDwFq7B1gM/CfwWgMYSlFCZ4yphgv4nrfWvhYY\nvcMY0zgwvTHueYDh1jvLWtvFWtulYcOGh5P0sOIp6FP1ThERERERiaZI2/QNNsb8zRizCtgDzAOS\ngZeBrkC9Er5vgCeBDdba/+eb9AYwOjA8GvcYiJiJp6BPJX0iIiIiIhJNkfbe+QZwABe4XW6t3RDh\n93sClwCfGmMyAuP+AjwIzDPGXA5sBS6McLlHJB6CPq+ET0GfiIiIiIhEU6RB399wbfmuAkYaY1YC\nywKvj621xYYs1toVuGqg4fSNMC1RE0+9dyroExERERGRaIqoeqe19nZr7RnAMcBwYDVwNvBfYLcx\n5p3oJ7HsxUNJn9r0iYiIiIhIWTjch7MfDFTPrAMcDRwHdAIGRDFtMRNPQZ9K+kREREREJJoiCvqM\nMSNw1Tt7AW0BC3yKq945BVge7QTGgoI+ERERERGprCIt6ZsNfIR7OPutwCpr7S/RTlSsxVPQp+qd\nIiIiIiISTZEGfcdYaw+WSUrKUTwFfSrpExERERGRaIoo6PMCPmPMiUAKri3fT0C6tfZ/0U9ebKj3\nThERERERqawibdOXADwKXAkk+CblGmNmAdeX9NiGeKSSPhERERERqawiemQDcA8wFvdA9WZArcD7\nXwLjJ0cvabETT0Gf2vSJiIiIiEg0Rdqm71LgTmvtVN+4b4CHjDEWuAG4O1qJi5V4CvpU0iciIiIi\nItEUaUlfI2BdEdPWBaZXOAr6RERERESksoo06NsEjChi2gjgiyNLTvmIp45cVL1TRERERESiKdLq\nnfcBLxljTgZeAXbgSveGA2dSdEAY11TSJyIiIiIilVWkj2yYZ4zZDdwL/AOoBmQDa4CzrbWLop/E\nsucP+qwFY2KfBgV9IiIiIiJSFkoV9BljagGDcD11fg/8AdgJNAB+rIiPafDzB325uVA10vLPKPCq\ndSroExERERGRaCoxvDHGtAAW4wI+zx7gj9bahWWUrpjyB305ObEP+vzt+NSmT0REREREoqk0Hbn8\nHcgDegFHAe2ADOCJMkxXTPmDvuzs2K/fX7qnkj4REREREYmm0gR9Kbhn86201mZZazcA44CTjTGN\nyzZ5seHvvVNBn4iIiIiIVCalCfoaA1tCxn0FGOCEqKeoHIRW74w1f6Cn6p0iIiIiIhJNpX1OX6UO\nRVS9U0REREREKqvSdlnyrjEmXBnYktDx1tpGR56s2FLQJyIiIiIilVVpgr57yjwV5Syeqncq6BMR\nERERkWgqMeiz1v6mgr7yLulTmz4REREREYmm0rbpq9TUe6eIiIiIiFRWCvpQ9U4REREREam8FPQR\nX9U7FfSJiIiIiEg0KegjvoI+tekTEREREZFoKu0jG+LOF198QWpqaoFxF154Iddeey2//vorgwYN\nKvSdMWPGMGbMGH788UeGDRuWP37rVm/oGnJy/si3337LJZdcUuj7f/rTn/j973/PF198wbhx4wpN\nv/POO+nXrx8ZGRlMmDCh0PQHHniAHj16sGrVKv7yl7/kjz90yBuaTl5eMosXL+a+++4r9P0nnniC\nVq1a8eabb/Lwww8Xmj5nzhyaNm3K3LlzefzxxwtNf+WVV2jQoAGzZ89m9uzZhaa//fbbHHXUUTz2\n2GPMmzev0PS0tDQApk6dyltvvVVgWq1atXjnnXcAuPfee1myZEmB6fXr1+fVV18F4Pbbbyc9Pb3A\n9CZNmvDcc88BMGHCBDIyMgpMb9myJbNmzQLgqquuYtOmTQWmJycnM336dAAuvvhitm3bVmB6SkoK\nU6ZMAeCCCy5g165dBab37duXu+66C4BzzjmHAwcOFJg+ePBg/vznPwMUOu7g8I89zzXXXMMf/xj7\nY88zffp0kpN17OnY07EXSseejj0dezr2QunY07EXr8decVTSF6I8Svr8pXuq3ikiIiIiItFkbAWt\nT9ilSxe7evXqqCzr7rvh3nvd8IIFECZwL1PffgsnnwxVq0L9+vD997Fdv4iIiIiIVDzGmDXW2i4l\nzRfTkj5jzFPGmB+MMZ/5xh1njFlkjNkceD82lmmC8u+904u7ExJU0iciIiIiItEV6+qds4GzQ8ZN\nBJZYa08DlgQ+x5Q/6Js7F0KqH5c5L9BT0CciIiIiItEW06DPWrsM+Clk9B+AZwLDzwDnxTJNUDDo\ne+kl6Ns3toGfF+jl5vo7dRERERERETly8dCRy/HW2u8Cw98Dx8c6Af6gLy/PBV6BjotiwmuaePAg\n7N0b+5JGERERERGpvOIh6MtnXa8yRfYsY4y5yhiz2hizeufOnVFbrz/oq1IFqleHML20lplVqwp+\njmXAKSIiIiIilVs8BH07jDGNAQLvPxQ1o7V2lrW2i7W2S8OGDaOWgJwcMMYNDxoES5ZASkrUFl+i\n5OSCn2MZcIqIiIiISOUWD0HfG8DowPBoYH6sE5CbC3XquOEzzohtwAfQqpV7b9QIataM/fpFRERE\nRKTyivUjG14E0oFWxphtxpjLgQeB/saYzUC/wOeYys2F2rXd8IEDsV47ZGW595NPDpY4ioiIiIiI\nREPVWK7MWjuyiEl9Y5mOULm57sHoNWqUT9B38KB7r1VLj2wQEREREZHoiofqneUuN9c9I69mzWCp\nWywp6BMRERERkbKioI9gSV+tWuVf0meL7LtUREREREQkcgr6cL13JiTER9Cnkj4RERERkfiSng5T\nplTc52nHtE1fvPKqd1atquqd4v7MaWnu0RnqSVVERETkty09Hc46Cw4dcn2AxPrxbtGgoI9g0Fe9\nevmW9NWs6d6tVS+e5cX7Ux886H6PivinFqnMlCkjIiKxlpYWLBg6dMh9rmjXIAV9BIO+eKjeCQr6\nylNamvs9rK24f2qRyio9Hfr2df/RiprTKiIiFU9qanC4evWCnysKtemj/IM+L+fAC/pUxbP8pKa6\nYwGgWrWK+acWqay8TJm8vGCmjIiUv4re1kmkJP4Mxoqa4aigD9eRi9d7Z3m26fvhB/e+alXs0yBO\nSgpcdJEbfvrpivmnFqms/JkyVasqU0YkHnjNIu66y5XEK/CTyq6i3hsq6KPgc/rKq3pn1aowe7b7\nfPbZOmmWpwYN3Hvr1uWbDhEpKCUFrr7aDf/znxX3witSmXhtnXJzVQIvEs8U9FH+1TsPHoQqVVyJ\nI1Tck2Zlqd7hHQPlcSyISPEaNXLvp55avukQESc1NdgPQUVt6yRSksrQ9EoduVAw6Cuv6p3eg9mz\ns8u2LVl6OixYAOeeG91c8vR06NXL7ctatSpufWcIHgO//lq+6RCRwvbvd+/KlBGJDykpcPzxrsbS\nvHkV99ovUhx/fOB1JlbRqKSP+Cjpq1MHJk50n599tmxOmunp0KcP3H+/q38fzRK5tDS3H6HillR6\nvD+2bipF4o+XGXOk/8/33oN77634NRNE4kFeHhx7rAI+qbz8BQF795ZfOo6Egj7io01fjRrQsaP7\nfNppZbOetDRXkgjRD8wqQ1e2nkird1aWaq2lFY/bu3w53H13fKWprEXyO8Tjb3a4vJK+IymJ9x79\ncPfd6nhCJBoOHFBGqVRu3rUHKm7Qp+qdFOy9Mzs7GATGihf01a3rPu/b596j/RDi1FTXdjAvL/pV\nSCtDV7aeSKp3pqfDGWe4fVrRq7WWRjw+J81LU3Y2TJ0aH2kqa2+9BUOGuHY0Jf0O6elw5pkuo6dm\nzYq/f6JR0heuZkJF3ici5cla979U0CexFO175JKUR0lftLdRJX3AL7/A118HH5kQ63Z9WVnuxq1O\nHfd5715YudJVxYxmF8gpKdCqlRueNCnyA6i0pQUV/eYpkuqdaWnBxr0VvVpraXi9tMXTc9LS0ip+\nJ0iRevNNd6NVmt8hLc3NY23l2D/RaNOnjickmqJVkl5RS+S9zPKKFPRV1H0tTnk8JsQf9L3+Ojzw\nQNmu18vQvuOO6G3jb76kLz0dNm92N0RffeXGHTgAtWvHLg0HD7oceC/o27cPXn65cFXMqET5gTC/\ncePIvrdqlbsxystzN0mhpQVerjm4eapU4OyESKp3xku11ljlePm3L16ek+aVYOfmHv5vEOscwyPl\nPU6kSpWSt9l7tl1OTtl2EhUr0SjpS0mBevXcef/ttyvGby7RFa3/fLRqP3ht7nNyKl6JfLTa2cZK\nerr73Q8d+m3U0KmMFiwIZtDHqraGP+ibNMllHJblf9XLZLfWnV+isY0V+NY8OtLS3A6FYOAS6xNX\nuOqdXgBoTHSDCe+gjbRo+tVXg7l54UoL/Mur6L1eRlLSFw/VWpcvd1VM77yz7HO8UlKCbU5Dn5NW\nXjmnKSnQu7cbfuGFwyvB7tMH/vKXitO+q0kT9z5wYMnHXUoKDBrkhp98suLf3ESr907v+agVfX9I\n5LxSgmicM/21H7wbs8NdTnZ2xSyR92eUevdT8cyr/QAVb1+L42V8RvseuTih97Zl/V/1MmzBZfBG\nYxt/80GftxONCZZOrVoVu/Wnp8OWLe5k6S/p++ILN9yuXXSDCe+GKdKgLykpOBzuD/bzz4XXUVEd\n7iMbTj89+mkpjddeczccsapyWbOme2/ePDjOy+2OReAZjtd1snchiERZdnBUVrx2v127lu7ccNRR\n7v2UU8ouTbESjVKF3Fy3HO9ctWIF3H57xQj45chFs5q6V9MA3A1aaurhZYBV5CrH/mvlwYPll47S\n7vd4rLFS0ZVVpm9Ry23Rwr2fdVbp7pGjkb7Qe9uyDjhTUuDqq93w738fnTjgN1+9MyXF/Wht2sD6\n9W7c6NFw8sllnwPs5TZmZcH//geffebGr18Pixa54Q0borc+a2H3bjf8yy+RfbdpU/derVr4P5g/\n6Nu3zz2zp6KKpHqn/wJ34EDw5jpUWVYf9B5WDbG5WfBKxL3AA9y2efuruKoWZbUfvLSUNsPBnw5/\nB0dF7b94q/7pbW9o5k1R6fTmqyg9jhW3v6MR9PlLC1escB3d5OTA9Onw3//Gx28cD9LSXPvys86q\nXPskmtXyU1Jg6FB45RUYN86N69Ej8qpfKSku4zcrq+JVN/QHfQcOBDMGYymSarYpKcFz/l//Wni+\n8jjfx9s1JhJebZns7OhWl/Wq4ebkFP5NvXvY5OTSBXxnnhl8Jvbhpi+0IKBnT/j738v29zrhBPde\nNUrRWqUN+kL/QEV9PuMMd5PasGHwZjY7O/K6s4fzh/VyG8GdfFaudD/s+vUFq5xG6wZ69+5gicbm\nzaVLo+enn9x7dnb4dcVDSV+0TpqRVO/0gmhwN9T+oM9LT/36cMMNZdd7onfctm0L//pX2V8wwgV9\npck59WdyhJ54j/S384IZf5qKEq7tTLt28OmnroOU0PUvXx7cnnjpsdTbTn/mTXE3Pd58JQV9sbjx\nKGkd6emuum5eXvj9HY1HNviPk0WLCncEVN6/r6c8bwSnTYObb3bDpb1RevttyMhwN1jxsg/D8aft\n9dePvE3f9u1uuE4dWLjQDfurfpVm+Tk5wf9n586Rrb+8g4XQoO/YYyNfxpFuR1qaO/f5S2+Lu754\nHbD5M029eb3rQ7VqMHYsXHpp2e7b4q6NFUG42jLRSH+4ariRXtO85XgZ9EfSNi70mhOL51J62+ed\nY45UpQz6Qm/qpk+H668PNtqdPh1uvNEdpNWru++0a+du7rx2HpHk/C1ZAv36RZ6z519HQoK7UE6d\nWjCXzJjib6APHSrdjeh//gOPPx78PH++W0ZpD1gv6AN3MfOqoXhCS/qioTQXAX9gdd11Rd8oRiJc\n9c70dHj2WTfsvwD4g75ffgmWcHo3rt7jP8rypvK999x7vXqxuVB42+L/nVNS3HMmP/nEVbvw9pU/\nPf4TuP/EW1ywUtobgUhK+sJdoLxAtk2bwvPPnx+8QcjKcttW3hfkcCV9xTX6Lk1Jn3dO8TqWKosb\nj9Lkxi9dWvz/JRolff790KVLMNe/uHN/rG+uo9mxhz/tULrz6p//HPxcmhulV16B4cPLvnODI+Xt\nC0/Llke2rN69g8fr2rVw+eXB6ZGUIu7aFRzevbt0tWX8JRg1a5ZfKbX/v3g4/8uSMnpKw2v/lJcX\nrGbrLTv0vOb1Yg7w8ccwZkzw89KlBa8PTzwBzzxTtsezPyjJyoqvjKfS8NeWSUiAb76J7P6yuOV6\nQv9LXtBXmlpr/vQdSXXe0KDv7beL3s5oXS+8a9Wnn0Znn1bKNn2hDaK9TkjAfZ4zx/2xvE5JwLVZ\ne+45N3zrraXfsenprjtViLxRZ7t2weF+/YLVO7wDq0oVaNCg4A2wVyc5kjYJ6emuI4c33giO80oQ\nS8sf9N15Z7BetJem1auD00u68S5N3WrvYlZcV7VvveWK1++80wV8OTnRaaMRWr3Tq2Iwc6Z79eoF\ns2a5aaElfR7vMQJet/qeaPeemJ7uLkYA778ffj8dTl324r4TrqQPgqXTGza4/dSnD1xzTXAZ/kbJ\n/hNvUcdyJJ0teGkpTYZDuAuJl2kR7gLitR3wtvHpp8u/7Ve4oM/fJij0wlaaktDQoHHy5MLbWdxx\nkZ4O99xT/DH47LOFc+ND+Us5wt00h3bkcjjHt38/tG7tqggBjB9f9AW8T5/YtFn176todOyxaJGr\nbnjHHcHqzCVth/9RNFDwJroo4Uq44s3y5e78feedwXF79hz+8t59NxjwAaxbB4sXBz9HEijs3Bkc\n9meihgq9D/CChfLc56ElfZHyrpelvZ8J939PSYErrnDDt9wS3O/ePvIfl6++Gvze448XXFZom8RY\nHM+pqQWr79WvX3brKgspKcFAOi/P3R9F4zx5+uluvzRoELzP8X77SEr6UlLcvSK4Ap/D6extypRg\ncyuvDW9R99HevUs0HiexZYt737s3Ovu0Upb0nXFGcLh6dbjgAncittbddHft6tpxVKniPufmwtFH\nu8AL4LjjSrcefz1m/1UBs1QAACAASURBVPpKe1O/bVtw2CtdqlMHMjPdcNu28OWXLt3vv+/WlZvr\ncsKmTy/9Ov09lHqKKkEsij/oe/BBV/Xn4YddCWpoyV9xN5ZeMFdSVcdwF7PQ+ebOdesO3bZIfoPQ\n3Jjc3ODv6V28/CVU4OYZP94Nr1wZHO8/+fTpExyuUSO4rMcei24O3vTpwe3Pyyu8n0rqmjpcblRJ\nua7e/gk92X73XcHP2dku+PPnkl50kfs8YUJwmUU9UiDcxbqofeelpTQlfd26BYe97vq9G79wQV+9\negU/5+QUn5ayKBEKXaa3vf70pqRAhw6utDX0OZyluUD6c0Pz8lywsHx58LfzznfeOci7CHsl7V5t\nigcfLFjiEFpdyp8jHO5/euKJwWH/hT411ZXK+f+fK1YEe26NpHTJf476z3+CN9lezY9QCxaUTfWl\nUN7/1ashYIw7/g+33Vl6Otx9txu2NhhEQvGl1qHrKs26/SVmZdm2+Ej+X/PnF3y8EBQfYJXk1FML\nft6+3Z3zwP12kaTPe04wFMxM9AstKZ8+PTolGKFWrXL/i3POKfg/fvttl4EcWhPDn0EQSdDnfd9f\nHbS4Y8ffxqtq1cJVL2vVcu/+ezj/9cXbRw89FJzub0Lj3dyHOpJ7iqLGhc6fnAwffeT+nxMmQGJi\nxSrt8+6RvEyQI60Vk54erHrv3V/672VGjnTjSts/hVeNt6hzvLfOcL+d95+rUsWlxbun83rUDP2e\nv+nWkV4vvvkmOByNa0+lDPq8ho8Azz/vGllPmwYbN7qbbu/E0Lu3O3DGjXNB39FHux+0qBNuKH81\nMXAH1euvu2HvJqW4H8cf9GVkuAOnTp1gbkKrVq5zl/37C1Y5OHjQVaXxhLvReeMNVxxcVAP8+vVL\nd+B4B7O/QxkvN+7JJwtfQL1tGTo0/PJKE8xB6TrX8HLDvB6UvD/ZwIGF01/UyTa02keHDsHp3sXL\nu2j4tzUnx5Vi+QNO/8mnbVv3ftxxrkSyRw/3+aSTCm9HcUpKvz/H0kurX7g68d74+vVd8BpafWzh\nwuKr1xVVapSbG/zN/PzL8Koue48ngWAu3HvvFWwU7ZVc+W96333XVcfx7w+vJ0YoXdDnr0bVuLH7\nX3nfC3cB8f9Pq1Qp+abE6xSkenW3T3/6yQViffuWHHCHs2KFO079z8gsqiOXatXce4MGBceXpnpn\nSgp06hQstQ8Ntv/734KBz7PPwuzZbpwxwWPGKyWcPDl4AfS+l5vrgu70dDj//ODx6N/+0LYL/mrs\n8+cHx3//vctJ9f6DkVwQ/fvhhhuCw598Er4qpJezC9ENaEKPgbfeKpjBVK2a+/zWWyXfQIZrt+6v\neggFz1deqXW49kpeaWvTpvDtt+6YW7Gi+KrX3k2VP3PpSAK0cN9dtcqV1MHhVQMMV5XTX9IXaXpD\nM4T8vFoNpeUv6SvqHsRfGp+V5Y7XVq3c9fmmm0pOc1E3tc8+6/5PJ5zgqumPH+/+sw895P73EKxG\nOnWqG/fLL3D22e6/79/W0gZ9/ptp70a8QQN371LUdoRez0IzFXfscNP85/iUFDj3XHfu8M5J/v+z\nd+PuLd//fwH3eJx580p/v5Sa6vadd02FojO609Pd8VzcNbOi8BcMQPHnl5L4qy17y37mmYK/vdfD\nfWk7J/Myd/zXc7+pU10JcWj1dO+e1csMTUhwmS2PPBK8bzjzTPebhzsnlfZ6UVQTIn8/EdHI2Kmw\nQd/+/UUHVq+9Fhz2AgPvZu7nn4PT69QJFpXWrev+/MceW/DgLa4thL96JgRvtIo7APzLfeKJ4Oc9\ne9wJ0AsWvPSBuwn3V3nKywueTMDdqPmlpcEf/uAO3r/+1bWzAHeweqVypXn4vL/doDHuYu7lbhSX\nW7J2bfgbEC/Q8BT1Z/DmPfFE9we9887wN4de7k+HDq7I/rLL3Of5811w4LXdPHTIpXnGDLjqqoL7\nKbQkyX9T4AUSKSnuN121KvgcImMKn6j9Jx8v19baYNUxcMtYvdotLy8P3nnHXZCKOka8XH/vZj+0\njZw/EE1IKLwc//5NSHD73wtKIPh9/0WmcePgd0J/o5UrgzdJ/qDPWrf9I0a43987IXu5dF4df+/G\n5scfC6bT29eh1VoaNHD78oUXXAn4RRe539L/3/JXLSpN9U7/zVVmZsF1FhX01a7tzjlnngn33lv0\nje+8eQUzNZ55xv3PjYEHHgim+bHH3LGZm1tyCdWjjxYuZQrXkQsEb7h27QpeRPLyghkie/cWfXGB\nwp0a+H9//+MevP+/t1wvB9QreV+8OFhK6H+USbVq7jmP6eku42revMLnSX/QN3t2wRzTpUuD09au\nLTqtJSnqOFm1KlgNyAugvRICgGOOcf/ZaJTyrlzp5vOXqHvPwPQysrzfs1mz4PLDteX2bpK86870\n6S5DKPQG1vuNPOFKrdPT4d//dsNJSS7o846hv//dBe3167vj159h5v2nQ6vFh+t5r6T9VlRtg7fe\nCp53S9NZR1GB6VFHBc8b3s1gUfs2nFWrXKbnpk3hp0P4a2Rxx8eHHwaHiwr6/Me3d1PtbVO9eu7/\nsWKFaw+4a1fhfRGayfnzz+764z8m/Bmc/ozC0MxD797J2oLHWUlBn7cPvvkmGMB6y87LK/5/0717\n4XH+48C77oYGIN7/1wvSv/rK7SNr4Xe/C64zXLXKkjLI/b+pPyj1SrpOPrnojO5wJc9QfHXqWbPg\n5ZfdfV1iYmzaGZd0XsvNDV9iXlKtmKLW8+GHBavZ5uYWvF/27tWh9CV9XkbA8uWF28alp7tmXVC4\nTbyX6e+dd3JzXUls377wwQcuI8HfScz11wcLlqB0GWCrVgX7gAD3v1661M1njCss2L49sqZnRamw\nQd/GjS4YCNfxw113BedbvNhdxL//3n2+9dbgCWrBguB8W7a4ZRx3XPCEERr0eDf63jq9Ryz40+S1\nWYGic2u85Xo3M55DhwreDL/4onu/6CJ3EPj5A45duwpWiXrzTffunUyff959HjfO5VqtWuVKS0ri\nL6IGd/Lbts2l/YIL4Nprw3+vatXCVVBCO86B8A+K9peUeH+Ae+4JVncaNMjlRl56abAabJ06BRu9\n+9ty+ntHHT++YJUJrzQxNzeYg+Lf3tDG6d26ue8/+qg7kXvr96xd+//bO/MoK6pr/3/3vbf7djNP\nIgoNiCCCihP2koiEwSnPgTb6Q6OP5MWJNmJ8xoiiRlGROEuMiKBCFI2JOL8oMSqimAYFQZEhKIIK\nCIKAgIA03ezfH7sOdercqnurG6QH9metWvfWfIZ99pn22SV5Bfgdiw0b/AaUiQsg7zUN5PvvD29g\nPP98uOcqtwNNJOHfscNPc0OvXjKDvWmTrF3617/Cv6NkjyDZDZmf/MTvIGzbJvlqWLYsmD7bt0sj\n8eijZcTs9NOljBmF/cQTvt2/SR8TF2O3vmqV3ymZMMGP/4YN/loZ1zub3RHINtNnPAs2beofe+QR\nP8+ATG+Y06ZJvnbsKDrkkEP8fJo+XdLDzMCNHu1/9sU02k3D0h5YYJY1qIZsC/dnzPB1l/1NoClT\n5Jg7ymkqtvnzxcTTtkQApLHTu7evP+zKBchsLBnzV/N+gxl0MqZs6bQMTL33nuzbeWSnt71+Jmo2\n2R6JnTDB/59IiGwZ7IZqYaF8aicuUaPD9nHbFNKE1V1jbQ8IPvkk8OijEvc4Xv+eeSYzDcz3ULt3\nB+66CzjjDNlfvVpmMUaM8HXU9u3S+DCDfnbDw6xxdrGdSgGZHWUz+2J0n93RZxZLlpdf9jsGdgPp\nP//xr+3fHxg8ONrzno0922E6I6+9Fi4fpvPrht2uU81MI7PUJfagmekU2ANFr74qDSrTCbHfCUSb\nv4c11m22bZP8OvVUuXf6dAkPc3i75cEH/XvnzAnqJUOvXjL7aky+Kip8s/qpU2XdpinbYTMWtuyM\nGOHXQzaVlf7ggN35MLJjjpk1nGHxDsPodWMhlEr59a9pVK9fL+UuL0/Sy6SZSaewpTd2GKM6fUYv\nrl4t7Z+PPvLbdC1aSNhuu00Gi930mDfP11mm3l23Tn7nzpVOGLPvNNBgOuV2vrozNV9/7f9PJKRx\nv3x50OLIZtw4/7ttb77p59+edpz05pvS8erXT/bNQFjYTOW0aaKDwpYQVdUs1syIus9yOfFE32oo\nSpfb7aR164Avv5TjS5dKmGz9/Mc/Zg58mHD36iWD2ZMm+efLy+V5a9f6n1cDRIY//DAYjvLy3ANK\nU6YE9Ymt8zZvlnpv5cpg2666VhR1ttMHhLvmNYvfDX/9q6zhM4owytRl3jzgwgtl9MCMsk2enNkx\nA+Sdd98ddIxiwmM/062U7NEg97mJhAja8uX+MRPWHTt8E4sw1q4NdvpsxxM2zPIB4vPOk87l+PGi\ntIDwxolbWFMp6WB17SqVf1ghZ5bCYH+z7dlng5WpwTWNmT5dOuVup8TcU1npm89OnCgdL0Aa5fba\nOkDS3p21qKwU+bAVQadO8vmKUaMk/p9/7l+/YoU/IrR8uVT0/fpJp8/t8AEiQwZ7NsnMQNrYnfbt\n2/1w2QW4XbvgPR98IB3Xhx+WfaP0TjlFZp3vv19G2+wO8Btv+B2ZefPE5DeMwYPlvePHy3MMb70l\n28SJQbNZwJ/NmzHDN7tr0cIfgTOdQtv8zsziLFki5rGmAWDSY84cGcwxM7CGd96Rz6oAfmXSsqV4\nXXviCf+6zz4LV4aTJwODBsm9ZgYHkHCbDhQgaTVlilSuZlaBWfKiUaPgupvRo4Mm15df7seje3fp\nACxc6FcWxquZ7UXXxMcta3YDyeiBtm19M6Mw887p0/1GxIcfZnb4TPq4snf33b5JvK1/zDsN9iBZ\ncXEwLf7xD+Chh4L3mjwy618BaXS5s7xmHafJN9sRhq2vDzwwWn63baual704M8J2B8l0eI0Zm206\naQ/gGMJMz8x9RjbtATBTVyxYIPtNmgQ7OO+8I41Su97YuVN0wgcfZH7DKazDRyQDP/PnS6Np+nTg\n3HOD17h10+rVwYFQINM5VSIhcj1rVjD+9j3ZGn9mYMjc9+STQcdgyaTE8fLLfd3WoIHIiRkEs0fb\nt20TmV69OrPTGdZRmzxZZp3tNEylRHZNQ822FIl6jguzDPLddZfU3xMnhltWAJlmhXZdAgTlxvbu\nnUz6cTR+C+z3uzMW9prdN9/M9MINSMOySxeRk5NP9sPYr5/UJ6atYMunjdvpmzFDysGECb5zM0DS\nomNHqXNPOMHvZK9bJ3WH6bCnUvLpkGbNwnWaTZh5p73/zTf+kghTZpcuDQ6EuTD7uti8350xB/yO\ngE1FRVDf2VZZM2ZI+9TQpo2kx4oVUpYGDMjUZX/5S/D5JszbtskA0OjR1TPxtc9NmCCffgIk7e0O\n3fbtskb4ttukrr7ySjlud0YAqS+JxO9C3Jn4Rx8NH5AO49BDpQ0BSN5edx1QUhJ8bt++ftlw88v2\nyjp6tNRfNg89FBxgd+us/Hxff+fqoE6ZItZR2QaU7ME1INjp3LxZ2j6tWvkDou7aXtvyLyfMXCc3\n4FgGmFMp5nHjmMvKmH/xC1OMg1teXvhxe3v9dWZm5lNPZS4ulv9nnBF+bX4+cyIRfu6ll/z/EyfK\nc8rKmNNpuaewUMJr30PEfMopzKWl8t8cT6X88N96a3TY772X+Y475D3MzE89FX7d88/LNea5bhqV\nlsr5sjLmUaPk172OiPmQQ6LDYoffxGH4cH+/oMD/P2YM76KsLDpNo95jx8P879WLuWVLSWM3nsmk\nxNOE0Q7r8OES50mTMu858US5dvBg5jlzosPUt6+fD+PHR6dJWFzMVljo5+PDD2e/z6TX5MnMTz8t\n/6++2r/fyF3YvY0bB/dHjGAeODD7+9q3zwz3sGGSRuZYaSnzrFnh9+fl+eEx8XWv6dEj/N6bbmK+\n5hr5f/jhkr/2e83Wtav/bKMbmJkvuCAz3cLyZ9Cg7Ondo4cvs+ed59/vhqV7d7nm+ed9uTd6yJXL\n1q0lnKbMlZWJjnHf36CBn7dduvjHb7uN+ZFHgvGIkrnWreOXMYD5z3+Wd5aWBtPtnnuYf/Yzf3/x\nYuaf/CR470svSZzssJx+OnOfPsHrhg5lvuyyYNmM2sLy3M0jk46jRjGPHSvl1ug2Uy4GDAgvh/a+\nnU8tW/rpV1Ym+jpO+hFJOF5+mblfPwm/KefHHSfXpNPMJSUSxksukWNt2vj/AeazzqpavoVtRUX+\nf/NsUyfZaWPnczrNfMQRmc8qKPDTJ5HwN3M+L4/5D3/w983zbUweXXGFf11+fvb62s7/vn1F/8Sp\n3/Pz5X1XXhkvrYqLmc89N3gsL88vn1VJdyOTdnmx0zws3Xv08M+PHStpbfKqeXNfF7dqlbu8lJb6\n+sWtu8PaGzfeyLz//vK/XTs/HKbcXnKJHDvySKlHXH32+OPBeIW1N4wMGdnq1Mk/fs890eUrrI1g\n0ve99/xjhxwSlLUDD5TjffpIfR71LDtd0mk/fYqL48nYCScE0zU/P5jvdt7ffnvweKNGzMccE4zX\nyScHy2bPntnDkE5nljVTzsaMYR4yxK9bTP04daqcHzcuur0Qlua27LhpefnlEk/THiork/xOJv34\n//vfUqYSiext6rBt6FDm44/PlCfzrrj6OZkMv7a83JddomDY+vevmi658cZgfZ6XJ2mdn++nx513\nBu+5+GI//5o0Yf7tb6XO79rVz0+T/omEqc8aL2LO3XciZq5CF7H2QEXdGdd4dosEgAFMaw283BZI\nVwJ3zsu86Z9tgNcPAJqUA7cuCJzq81PgN23b4qWrWmPm0h/Q/O5Fu2bBdvFsETCjFQq6bMUPv1ls\nBUZmAb5/uAPu+UULXPvIZmDoErTaDyhqJ7Mvy5YBeKwTaGFT9Lp0I8q6Ld11eyLhrUtLdcaQAY2x\n/bD1wOAvUVQkI/dNm8nsyee/6Yr8bxqg/NhvgUHOkDyA5N3d8PCIAkyjNXhmS+aXHL+66DA8NSYf\nN05fBT5ldWb6XN8D+ZxE5RkrUdlnDRLuurWrPduqQV8BvZyhtO1J4HrPNmnwF8AxMl1aWAgUtQc+\nnZUH3HI4OnUClvZfChy2EU2bysjt5u+BzUvT+H64t6Dxis+Azs5Q/IoGwH2ebeA1i4F2zgdTljRC\nYmwXXHgh8FSHhejQczu+WGadX9AUeMybAr11PtAkOGRIc5uDnuoIIqDyjnkiQzYzWiLxXHvcdx9w\nNVzBQIbsNW3quALPInvJJFD5Ylvg7dZItPkB+/9pEQrSwPdbgLVmNsWTPRRtBX63OHB/10OBn37V\nAeOHtAAO3gxcuQRF7WQ2Y9fakMc6SRocthG4xJc9U3bo4c7gzxoDx4jsZXB/V2B5A6BXuOxhVDdg\nbQGo/xp0+t+VgRlTAMAthwGb8oFTVwGnhcsetieROHsldvZZk3H6iiVH4913gU+6fYVGJ69Dq1bW\nbKslew2GfIGth1oLYgjoe3QeOk86XEYvLxHZC7A2DYwS2Wsw7DNsPSBc9oiA/BsW4/hzRPZmzxZz\n0oarG2HbPV2krNywENhvOwobAMXHAStWAp+/nF32MKc5MKkjACBxzzw0378yOFI9oyXwrExrJ/40\nF0ceCcxfAOwws+bTWiP1altUJDP1Xn4+UP5KtOwBAF4R2cN+PwA3LAqcatYM+H5iESreDZc9AMCk\nDnjwf1rg9mc2Y+2gJbsOFxUBW7cB6+70Za/hVUtRUQlsty0dHuoMfL77sod+a4CzVqJlK2D9Oqk+\nAeySveR/rUKjc1dj4yZIfWHwZA8DVwJ9M2UvQ++RdX+E3tvFpjwcP+VwzJyJnLKXTe+1bg2sGRyu\n9zDGWwjoyV4AS+81eWA+NsFMVXhxmNMcyb92xKWXAlNPmYeGLSqxYCFQ7j2G3m+J4mXt8f77AB7w\n9V5BgTdy7ei9vHyZnWnQAKisALa92AbJNw/Aqq3lOKVsATZ8B7TwLAE+/hjY+VJb0LTW4FYie2bt\n7C6y6D0AwKQOwBxP7w1dknne03upozbiiNFLsWKFb4VRUAD8cG/VZO+gg6RMzP0ISCWBituCsheQ\nDQC45TCktubjwkmr8MRqX+8dcoisEx44swcOaJ7Eq6mV+Mf3a1BQ4JueEgEDpx2Nl18G+P8F69zm\nzYENq3PLHm45XGY5Lg6XveRd3WX28YrPsH/v7/GNrZo92SssBI7962LMXLEVFRVA4ybA95sB/qwR\n6OEuuOYa4N58X/YOOBAoSANdK5uifEwnsVIK0XudNzXHd3/uKLMod4bXuUbv2bK3C0v2moydh01O\n9Ppub4NRfQ5A52PLsf8jC8DOTF7bD9vi66d92bNp2Qq4rmMRXri2FWaurIbsEYBHpb3H3TPr3IM6\nAifO64wnbw7K3n6tgW/XerrLk73Uid+i6aXLsW49grLl6D1D48biVfaOvMPwyqR8PLp8FSpPCq9z\nEzuS2HlmTL1n4+q9YzcEwlbUNA/LLzociQSQGLIULU/cuGsWFgQcdWAaA97vjvvuQ6jeo68boHBM\nVykLIe29xmsaITm2i6wjtPRey5aQdJofXuemC7y6x6tzCwuBFo/Ow8q1IntmRvCoH1oi9Xx7sThw\nZO+gg4Df92yN/CltcenQzDo3kQB2vtYGLWYdgPUV5Wj+5wXYYFs9pIG2s9ti2QSvzr1xkVhTWEn8\n0zVFmDaqFf6zZSu6PboY+7eBXzYJGLS9AyZf3wLcyZK9qy9h5g8TyEHOC/YWRHQaES0moiVEdH2V\nbt4D/VZj5VBeLmYh9nolF9c085AuQBvP7OS66/zj364V80l7jQozUGZMEUkU5JFHijnPkT3Ey6hh\n5UqgoFBMBMrLxQzq7beBLpazEZvKClln9957AIXk7Pz5/qLUKHbs8ExQONrcIQBlmj7ZbNsGLLP0\n3VLr/8aNsn5s1ddSiewuO3cCf/sbwDszzTtywV58s5nt7NwZ/GBxNtxvP9lrEQ5sC1/gEHwnkazR\nWLZMOnyJGB7gPv3UX3MAAGAx07OdARhHG1G4FSIgjfZUqmpe6JiDZn9VJUrmxo71Tfu2bAF2RpR5\n9+OpYGlcGrPgXGyNWBNozK8rK8QEdN4nfuN0y5bMcJsOWVxzFcPOHLK7c6eY1e4oDx4PM+cDgEaN\nw483bhIvPFu3ARU5TKoA4N13M51PLF8OrHPMYrZscTp81SBXmVj3rdXhs6is9Mrl7tYXVbx/5szd\nfB92r0wZbNN6Ow5EYlr16afSmamsgOgnzyujvY7SELbsAQDy88Tc6PvNvplfZaWYpH/0MfDlF/KO\nhYv8MmPnVRzvu9WhYgfw1fKgOXTcMmBjPPGCfQ+9ySSQTEldfkiXoGdIwHdcZLNuvaTDiBGy1v7/\n/s//7IKBOXwZBRDfw7h5ThS2iXFU/WA+jWJ0zOZN/jOZg20WQOrzZcuAf07JvixlyZJMs7mqYDuj\nczt8ADDtbTHBvvnm8Prt61WZZtEGY5pcVW/bu7DSJ+zcqlXAk96yBFufNWyYaTZbUeHVCfazstTl\nmzeLbJ1+upiYV0bUDUDMNl4MCguC+8tX+M+vqAC2WPUyQcq5u+7ShndG6xhAZDDMcUxGOjm4dc/l\nl1uOw8hfQvLR3KCJuc0XXwJLl/mm+C6FnrdN40BxgxPP8u3B/gVBBpBsZs8SD/g3ef5JAvLNsswj\n01FUthaefX+M6cAfewOQBPA5gE4A8gF8DKB71ilKOjbn9HPfvvGni820cJQpQrbp4bIy5ptvrtp9\nZistDU7F29O2yaRM5xYWimlOw4Z+OAsLc5s6tWkT3DfT6u+955vEdOiQO4zGtCSVYj744OBxY1pr\nzAMKCnKbaP2Ym/vuZFJMJPbEs8wx14wujszY6WxMfF2TuTjhCTOLJMpt9pGfLyZkYcfDZNqYRYal\nHRFz06bR7yopyS2bezqf9+SWTmeav6ZSzL17y/+4eda7t29WtLe2Pn2Csnb66eHX9eoV3D/ooEwZ\nqEq6d+3qn6+KTEdt9vuN7vmx8786z/zd75ibNdu7eZwtvHHTPp1mPu206PMdOvgmsRMn7n64Gjas\nevxcM+A9vXXrtvvPKCnxzYltc7qhQ6v3vMMOi2euWpW8jrtVV2fXVH3fosXu3Z9IBM027bo1mZR8\nvfvu6j07bh666de7t5S7XPcMGybXGdPd5s1/3LSOkrWo9mOUTNhpXJPtxKg4Hnts7uuMyXRY28lO\nq5tuiv/uXGba8bZjOVZ/q6Y7fF6nrxeA16394QCGZ78ne6cvnWa+4Yb4CVZYmLmmLq6guPb6Vdnc\nTp/doTM2v268TMcvjnJwhdVUUEYw4yj6RMJXLvZ9pmPghr+0tPoVSF5e1Sp7VxmFrdeK6rjkenZx\nscSlTx+Jj7E9T6f9/DHpUlhY9Xxw1zvl2sz7zjwz83lhaxjD8tBWVImENFrcTqzJ17KyzHw0aeCG\n29j4G/k8++zq5f/e3KoywOOuWQrbakMlZuTU7OflxWuAuNfsTlyi0imuTiAKdlZTqfABiz2Z3okE\nc+fOufWJu7lrUcI6qLniWp14mAarWSueTEoaxamHiEQXXHVV9utMWR45cs+lc1W2U08Nyo4tP2ED\nX3vqvWbdZZxr3frb8OKL1X9/mKyHbRdeGG8dbNyNqOrPI/LrxD3dCQWq1nmqymb7V7DbW6ZuNwPk\nDz4YLw3cZ5eUZKZH3IE0e+171Oauw93Tg6xxy1dYnscdCI96756Wo7jybHRoruvS6Xht3B9DdrPH\nJV6nr7aYd7YFYC/WWOEdC0BElxHRbCKaLfu+2ZptUkEkHhMLnCnnZDJ6AtSYvoSZstn3JBJAt25y\nnfleWN++mZ4ojzoq08wjkQgey8sTT1g2vXqJJ57bbxeXstk+2tm+feY7orDd5xrPQUB8L2Tt20d7\nxHLDP3asmPO4aWmnY1g+lJSIl7rTTosXLyKgZ0//WcY7nU0iIR7qbDMOIvHomk5nnxC/+GKJyzvv\niKe7kSMl7d5+9sI+HAAAEABJREFUW/Jn2jQ5f9llkmejRok5Sa4wm3zIZWrrUlkp+TB8uD+1n0xK\nWl92mZjYlZSEPzOZFFm76KJgerVpE7yeyM/XadMy5e+kk+QZNnl5kg533OG7/z/iiOAzS0okfYzL\n6eLizLS3y/OPRSIheVRaClxySXw5C3Nt7sIc73l2HHPFNdd5V6cYz3yGigqR49LS7LLmmocac1aX\nvLyg99Owa8JMhhKJ4LdGDUYuhg2T5yYSoreLivx4MYucumX44IOD6ejWAfZ/Nx1TKXl3Oi1xSKfl\nMyNmPz9f0mzsWFmX7Kazwf6sQyIh5WPMmKDpTSIh3lzN/W7YUqns+Wzywlxj6p3Ro6W8jRwp+unF\nF+WbY9kw6fvLX8oHvbNhe5mziVs+k8lMD8pRFBdnehJ0TRgvvVTypLRUzNZMvqRSkndmH/C/JRul\nD934uGZ+PXvmDrPRqWEsWlR9PTZ/frRuNCQS4rH5nXfEw2ZU+Lp3jx+OVEq8Fg4ZkrtuBKS8Dhni\n14knnRTvPclk9nrSfOy9pER0l1uu7fLitsfy87OH3dRFI0dKnW3qblOfm7rdeM20vXDbJBLiNXvc\nOKn3Tjst+I42bTJ1ycMPh3+78cQTg/sVFdJ+LSmJTiPXA+SextatQHR94Or6REJkwtWBcbn22nBv\n5zZEkudueYi61rT1TBzy8sLl48wzpR6yPZGGXffrX0u5z8/PXkbcOrW42K/nqkNenv/xeBvTpgTW\nR0irQ03P8nkze+cCeMzaHwzgoVwzfWakxpgWmhEbMwpiz5rZJnX26GheXvCeceP80a5Uyp9Gd0eA\nbA+XZrTFzIAYT2FlZTJy0K2b/NozdLY3uSjCvPjZ3plM/KJGW8xIjJkhcu9LJuONyNizi24a5wp/\naanvmS5sVM2MjNuzhu5sZ2mp76XNjpc7Umf2zSiZPRtp8tX2VmfCZ+ftsGHizSlsFjMOdp64o9O2\nh1SDCZeb5sakNkxGzXtcsyI33cPSNywPw9LGXGvLnysHYXkXlodhsuLKrp2fpaXxZ57y8kS+Skqi\nR9YSCZmtddPelTP3frvsGG9b7jPte9LpTG+mbhzS6aDOsvPJHXV0dY8x0TWbiY+df248bH1hZoNd\n8xp7BtvOU1sXmlFQV4e56WLyxI6Tnbdh8mTnh+3BNJechpV9N13dEfwwXejq8TBzPbuOseMVNjtg\nl0HbI3LUjEI2mQ8zoY8q9+a99iyBK8P2va4X6VNOCcpuVHkfNixaP7v1jfsOI0e29YStj+06NKxO\nd+Malndh8bTTNqxuDJMl1+OeCbPrGTgqH9xyETYLbJdHs5n0des6O42z6WnXE3dYG8G1AHAtd8Lq\nEKOPbN2TLc6JhF93Gd3lhsvWReYdbp66shbV1rN1x6hRmZ5d3XSLQ7ZyG1WXRLUR7XTt00dm6k3Z\njtKL48bJdSbfw+IRFkbTdjDyZerJqDrOrTNsXRdWH4TdGyZDYTOe7pZM+mlhx8eObyoVri/seshu\nd7ltJlc+XH1rPPOa99v1SFR96rYfjYyH1TthbbewtoLdnonSN8ZzuclXU6YAzGbO3d+qFd47iagX\ngBHMfKq3PxwAmPmPUfe0a9eTJ0+eHRgdzPUdkKiP6lb1nqjvoFT3Y4nZMN/rWr3a/yh5WJzNh0IB\nWXhvPh66bl3091hMWD/5RL5dc9RR/jfdjj46/Bt+uxvHXGkfdp37bjde7rVRYazq8eoS9tFmIPpD\nzeb6776Tj8aec47MlMVJp7jhqE45McfDwr8nykNUfrrvdeXZlnU3TPY92b5BGRZGIPOdUWEyz8x2\nzDjra9Mm/Hlh6VDdMhdX5tw0t9MeqL7ec3WUeVZYWc1VHsLiFBWeXN+c2t0yFBWmXOmWKz5h94TJ\nfHXCm61cuYwfL7r/nHNk1iNuea+KDhk/Xr5xduCBMtJdlXp2T+nmbHKf7d1hZTtueKLy09S3tp63\ndb/Jhzh1Xdi74rQRTBmNWzfFTX83HEDu8plLTqvbHqvKO3LFqbptlqq8I1te5IpHVBjd8EbJJBBP\n1quj/+x3Nmkicm63NePGN857qqLv49ZFcfMmrIzGCXOc9n2cNhwRfcjMOW0UakunLwXgUwADAKwE\nMAvABcwc4R8H6NmzJ8+Ocq+jKIqiKIqiKIpSz4nb6YtwWLt3YeYKIhoK4HWIJ88J2Tp8iqIoiqIo\niqIoSjxqRacPAJj5NQCv1XQ4FEVRFEVRFEVR6hMRPm8URVEURVEURVGU+oB2+hRFURRFURRFUeox\ntcKRS3Ugos0AFtd0OBQlhFYAvq3pQChKBCqfSm1G5VOprahsKrWVDsy8X66Las2avmqwOI6nGkXZ\n2xDRbJVNpbai8qnUZlQ+ldqKyqZS11HzTkVRFEVRFEVRlHqMdvoURVEURVEURVHqMXW50ze+pgOg\nKBGobCq1GZVPpTaj8qnUVlQ2lTpNnXXkoiiKoiiKoiiKouSmLs/0KYqiKIqiKIqiKDmoc50+IjqN\niBYT0RIiur6mw6PsexBRERG9TUQLiWgBEV3lHW9BRG8Q0Wfeb3PvOBHRg57MziOiY2o2Bkp9h4iS\nRDSXiP7h7R9ERO97Mvh3Isr3jqe9/SXe+Y41GW6l/kNEzYjoOSL6DxEtIqJeqjuV2gARXe3V6fOJ\n6BkiKlDdqdQn6lSnj4iSAMYA+BmA7gB+QUTdazZUyj5IBYBrmLk7gOMBXOHJ4fUA3mLmLgDe8vYB\nkdcu3nYZgLF7P8jKPsZVABZZ+3cBeICZOwPYAOBi7/jFADZ4xx/wrlOUH5M/AfgnMx8K4EiInKru\nVGoUImoL4LcAejLz4QCSAM6H6k6lHlGnOn0AigEsYealzFwO4G8ABtZwmJR9DGZexcxzvP+bIY2W\nthBZfMK77AkAJd7/gQCeZGEmgGZEdMBeDrayj0BE7QCcDuAxb58A9AfwnHeJK5tGZp8DMMC7XlH2\nOETUFEAfAI8DADOXM/N3UN2p1A5SAAqJKAWgAYBVUN2p1CPqWqevLYDl1v4K75ii1AieScfRAN4H\nsD8zr/JOrQawv/df5VbZm4wGMAzATm+/JYDvmLnC27flb5dseuc3etcryo/BQQDWApjomR8/RkQN\nobpTqWGYeSWAewF8BensbQTwIVR3KvWIutbpU5RaAxE1AvA8gP9l5k32ORa3uOoaV9mrENEZANYw\n84c1HRZFCSEF4BgAY5n5aABb4JtyAlDdqdQM3jrSgZCBiQMBNARwWo0GSlH2MHWt07cSQJG13847\npih7FSLKg3T4nmbmF7zD3xjTI+93jXdc5VbZW5wA4Cwi+gJi/t4fsoaqmWeyBATlb5dseuebAli3\nNwOs7FOsALCCmd/39p+DdAJVdyo1zUkAljHzWmbeAeAFiD5V3anUG+pap28WgC6eN6V8yCLbV2o4\nTMo+hme3/ziARcx8v3XqFQC/8v7/CsDL1vFfep7ojgew0TJlUpQ9BjMPZ+Z2zNwRoh+nMvOFAN4G\ncK53mSubRmbP9a7XWRblR4GZVwNYTkRdvUMDACyE6k6l5vkKwPFE1MCr441squ5U6g117uPsRPRf\nkDUrSQATmPmOGg6Sso9BRL0BTAfwCfx1UzdA1vU9C6A9gC8BDGLm9V4F8hDEVGQrgF8z8+y9HnBl\nn4KI+gL4PTOfQUSdIDN/LQDMBfDfzLydiAoATIKsS10P4HxmXlpTYVbqP0R0FMTJUD6ApQB+DRmA\nVt2p1ChEdCuA8yAeuucCuASydk91p1IvqHOdPkVRFEVRFEVRFCU+dc28U1EURVEURVEURakC2ulT\nFEVRFEVRFEWpx2inT1EURVEURVEUpR6jnT5FURRFURRFUZR6jHb6FEVRFEVRFEVR6jHa6VMURVFq\nNUQ0gog4ZHuzpsOmKIqiKHWBVE0HQFEURVFisBHyvTb3mKIoiqIoOdBOn6IoilIXqGDmmXEuJKJC\nZt72YwdIURRFUeoKat6pKIqi1FmIKOWZel5FRA8S0VoAc63zPyeiD4noByJaRUR3ElHKecYgIvqM\niLYR0TQiKvae+d/OO0qd+0YS0WrnWAci+jsRbSCirUQ0hYi6WOc7e886h4geJaKNRLSCiG4mInKe\ndSQRvepds5mIZhJRf+t8S+8Za7z4vUdEx+2RhFUURVHqFdrpUxRFUeoEXufL3uxO0vUAWgEYDOBq\n7/oLAEwGMAPAWQBGAviN92ueWQzgGQBzAJwNYAqAv1czfK0A/BtAZwCXATgPQDMAbxBR2rn8PgDf\nATjXe/+t3vvNsw7znrUfgCEAzgHwCoD23vkCAFMB9ANwDYASABsAvElErasTfkVRFKX+ouadiqIo\nSl2gJYAdzrGTAUzz/q9g5gvMCSJKALgbwARmHuod/hcR7QAwmojuYuYNkM7iAgDnMzMD+KfXoRpR\njTBeAyANYAAzf+eFowzAFwD+B8A469qpzHyt9/8NIvoZgJ8DeME7NgLAOgB9mPkHE37r/l8B6Aqg\nOzMv9d41FcCnkE7v8GqEX1EURamn6EyfoiiKUhfYCOA4Z3vfOv+qc303AG0BPGvPDkJmxwoBdPeu\nKwbwitfhM7yA6nESgNcBfG+9byNkFrGnc+2/nP2FANpZ+/0B/M3q8IW9axaAr6x37QTwbsi7FEVR\nlH0cnelTFEVR6gIVzDzbPWitz/vGOdXK+3U7V4Yi73d/AGucc+5+XFpBOlwXhpxzHct85+yXAygA\nAM9stQWAVTne1RuZs58AsDhOYBVFUZR9B+30KYqiKPUBdvbXe78XAfgk5Pql3u83ANw1cO5+JYAK\nAPnO8eYh75wLYFTI+zaFHAuFmZmI1gM4IMtl6wHMBHBlyLmo2UFFURRlH0U7fYqiKEp9ZCGA1QA6\nMvPELNfNAnAWEf3BMvH8uX2B1wlbCTEZBQAQURLAAOdZbwEYCOATZt6+m+F/C8D5RHRzxLPeAnA7\ngC+Y+dvdfJeiKIpSz9FOn6IoilLvYOZKIvo9gIlE1Ayy1m4HgE4QL5kDvc7UXQDKADxDRH8B0APi\ndMXlRQCXEdHHAL4EcCmABs419wK4AMBUInoIwNcA2gD4KYBpzPxsFaJwC4APALxDRA9AnLocA+Ab\nZn4CwESIV89pRHQfZOayFYDjASxn5ger8C5FURSlnqOOXBRFUZR6CTM/DengHQv5dMPzAEohnakd\n3jUzIR214wC8BOAMAOeHPO5miIOXUZAO12wATzrvWwPpdC0BMBqynvAuAI0RbmKaLeyLAJwIWfv3\nuPfuswF85Z3fBulMvg2Z8XsDwJ8AHOTFT1EURVF2QUGHZYqiKIqyb+PNDG4AMJiZn6rp8CiKoijK\n7qIzfYqiKIqiKIqiKPUY7fQpiqIoiqIoiqLUY9S8U1EURVEURVEUpR6jM32KoiiKoiiKoij1GO30\nKYqiKIqiKIqi1GO006coiqIoiqIoilKP0U6foiiKoiiKoihKPUY7fYqiKIqiKIqiKPUY7fQpiqIo\niqIoiqLUY/4/Jpp428pWRkUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111e51438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_multiqubit_marg.plot_power_spectrum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "However, now we can look at the power spectrum for each individual qubit. This then shows us that each qubit has a different drift frequency. Something that was not obvious from the analysis implemented without marginalization. Moreover, these spectra show higher peaks (they are approximately twice as high), because -- earlier -- when we constructed the global power spectrum we were averaging pure noise with \"signal\" at both drift frequencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XL17M6tWriYqKAuDYsWPUq1ePunXr0qRJE7799luaNm3K+vXrad++PVOnTvVb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\nRvYqK92+XDyFEEIIIYQoDcaMCb3wKivdfldDRl8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wB/Zp9SZJWVlY73NNkuPd78F9T75w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\nhBBCCCGEEN2Y/w8WXXp3+2oJwwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111e5c2e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_multiqubit_marg.plot_power_spectrum(sequence=0,entity=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RFi1ahI+PT570kydPpkGDBvz000/k5ORQo0YN577q1as733t5eZGVleXxnLnp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\nqntnsgOCZDaI5YijQOKGzpY2HhAWFzt/D4dJCUm2Ij73HB2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AEdyUVYYBnldr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\nCIIgCDnM/wPAl3VUHvAejAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a1bb160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_multiqubit_marg.plot_power_spectrum(sequence=0,entity=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "With this analysis we can isolate the drift frequencies of each qubit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[25]\n",
      "[64]\n"
     ]
    }
   ],
   "source": [
    "# Drift frequencies for the first qubit\n",
    "print(results_multiqubit_marg.pe_drift_frequencies[0])\n",
    "# Drift frequencies for the second qubit\n",
    "print(results_multiqubit_marg.pe_drift_frequencies[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Finally, we can again plot the estimated drift probabilities. Again, these are more informative that what was obtained without marginalization. In particular, the oscillations are noticably stronger, as they are each the sum of two of the drifting probabilities from the \"raw\" unmarginalized case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MYeLEifTs2TPuufHemYjMcs4Nqixe5gJqGIZhGIZhGIZRx6xYsYIePXokPH7s\nsccybNiwsmUlfILBIKNGjUpo/NUWcwE1DMMwDMMwDMOoY9atW1dpmKuvvnqffampqZVOdFMbrAfQ\nMAzDMAzDMAzjEMEMQMMwDMMwDMMwjEMEMwANwzAMwzAMwzAOEcwANAzDMAzDMAzDOEQwA9AwDMMw\nDMMwDOMQwQxAwzAMwzAMwzCMQwQzAA3DMAzDMAzDMA4R6t0AFJEzRWSJiCwXkVvjHO8iIp+IyPci\nMldEzq7vOBqGYRiGYRiGYRyM1KsBKCLJwCPAWUAfYKyI9IkJdgfwonPuGOAS4NH6jKNhGIZhGIZh\nGPVHXl4e2dnZZGdnc/jhh9OxY8ey7WAwWG/xKCoq4pRTTiEcDgO6kPu0adMACAaDnHzyyYRCoXqL\nz/6ivnsAhwDLnXMrnXNBYCowMiaMA5p5/zcHNtRj/AzDMAzDMAzDqEdat25NTk4OOTk5XH/99UyY\nMKFsOzU1tSycc45IJLLf4vHUU08xZswYkpOTAZg+fTqzZ88GIDU1leHDh5cZhAcy9W0AdgTWRm2v\n8/ZFcw9wuYisA94FfhHvQiJyrYjMFJGZW7du3R9xNQzDMAzDMAyjAcnNzaVXr16MGzeOfv368cUX\nX9CvX7+y4w888AD33HMPAM8//zxDhgwhOzub6667rqwnL5qxY8dy8cUXM2TIELp27co777xTdmzK\nlCmMHKl9UzNmzOCmm27i5ZdfJjs7m5UrVzJq1CimTJmyfx+4Hgg0dATiMBaY7Jz7m4j8AHhORPo5\n5/Yy951zk4BJAIMGDXINEE/DMAzDMAzDOOg49fvv99l3Udu23NCxI4XhMGfPnbvP8fGHH8749u3Z\nFgxywYIFex379JhjahWfZcuW8cwzzzB06FByc3Pjhlm0aBHTpk3jyy+/JCUlhRtuuIEpU6Ywbty4\nvcLNmTOHkSNHMm3atDIjb8SIEQSDQVauXEm3bt0AOOmkkxg8eDAPPPBAmcEZDof57rvvavUsjYH6\nNgDXA52jtjt5+6K5BjgTwDn3tYikA22ALfUSQ8MwDMMwDMMwGg1du3Zl6NChFYaZPn06s2bNYvDg\nwYCO52vbtu1eYYqLi9m6dSt33303AH369GHHjh0AbNu2jRYtWuwVfsmSJfTu3btsOzk5mdTUVPLz\n88nKyqr1czUU9W0Afgf0EJHuqOF3CXBpTJg1wHBgsogcDaQD5uNpGIZhGIZhGPVART12mcnJFR5v\nk5pa6x6/WJo0aVL2fyAQ2GscYHFxMaDjA6+88kruv//+hNeZP38+PXr0ID09HYDZs2czcOBAADIy\nMsquBWoQNm/enEBgb3OppKSuRc/6AAAgAElEQVSk7PwDlXodA+icCwE/B94HFqGzfS4QkXtF5Dwv\n2G+An4rIHOAFYLxzzlw8DcMwDMMwDOMQp127dmzZsoW8vDxKSkp4++23ARg+fDgvv/wyW7ao0+D2\n7dtZvXr1XufOmTOHNWvWUFxcTEFBAXfffTcTJkwAoGXLloTD4TIjMDc3lw4dOux1fl5eHm3atCEl\nJWV/P+Z+pd7HADrn3kUnd4ned1fU/wuBE+s7XoZhGIZhGIZhNG5SUlK46667GDJkCB07dixz0ezT\npw/33XcfZ5xxBpFIhJSUFB555BG6du1adu6cOXMYM2YMxx9/PKWlpdx+++2ceGK52XHGGWcwY8YM\nfvSjH9G7d2+2bdtGv379mDRpEieccAKffPIJI0aMqPdnrmvkYOhcGzRokJs5c2ZDR8MwDMMwDMMw\nDjgWLVrE0Ucf3dDR2O+ccsopTJo0iV69esU9Pnv2bB588EGee+65uMfHjBnDxIkT6dmz5/6MZpWI\n985EZJZzblBl59b3MhCGYRiGYRiGYRj1zooVK+jRo0fC48ceeyzDhg2Lu3xEMBhk1KhRjcL4qy2N\ncRkIwzAMwzAMwzCMOmXdunWVhrn66qvj7k9NTd1nSYkDFesBNAzDMAzDMAzDOEQwA9AwDMMwDMMw\nDOMQwQxAwzAMwzAMwzCMQ4RqGYAikry/ImIYhmEYhmEYRsNwMKwMcKhQ23dV3R7A9SLyFxE5+OeJ\nNQzDMAzDMIxDgPT0dPLy8swIPABwzpGXl0d6enqNr1HdWUAfB8YBvxGRmcB/gKnOud01joFhGIZh\nGIZhGA1Gp06dWLduHVu3bm3oqBhVID09nU6dOtX4/BotBC8ipwHjgTGAAK8DTzvnPqpxTGqBLQRv\nGIZhGIZhGMahzH5dCN4597FzbhxwOPALoBfwvojkisg9ItKhJtc1DMMwDMMwDMMw9h+1nQV0EHAy\n0BvYAXwB/ARYLiKX1/LahmEYhmEYhmEYRh1SbQNQRLqKyN0isgKYDrQHrgY6OOeuALoCTwB/rdOY\nGoZhGIZhGIZhGLWiWpPAiMgnwA+B9cDT6Li/1dFhnHNhEfkv8Ks6i6VhGIZhGIZhGIZRa6o7C+gW\n4GzgQ1fx7DE5QPcax8owDMMwDMMwDMOoc6rrAvoI8FU8409EmorIyQDOudLYnkHDMAzDMAzDMAyj\nYamuAfgJ0CfBsV7eccMwDMMwDMMwDKMRUl0DUCo41hQorEVcDMMwDMMwDMMwjP1IpWMAPbfOU6N2\n/UREzowJlg6MAObVXdQMwzAMwzAMwzCMuqQqk8Acjy72DuCAC4FQTJggsBi4ue6iZhiGYRiGYRiG\nYdQllRqAzrm/4q3pJyKrgNHOuZz9HTHDMAzDMAzDMAyjbqnWMhDOOVvawTAMwzAMwzAM4wClKmMA\nzwZmOOd2e/9XiHPu3TqJmWEYhmEYhmEYhlGnVKUH8G1gKPCt978j8WygDkiu6GLeBDL/9MI96Zyb\nGCfMRcA93vXmOOcurUI8DcMwDMMwDMMwjAqoigHYHdgY9X+NEZFkdDH504F1wHci8qZzbmFUmB7A\nbcCJzrkdItK2Nvc0DMMwDMMwDMMwlKpMArM63v81ZAiw3Dm3EkBEpgIjgYVRYX4KPOKc2+Hdc0st\n72kYhmEYhmEYhmFQtTGAmdW5oHOuosXgOwJro7bXoctMRNPTu++XqJvoPc6596oTB8MwDMMwDMMw\nDGNfquICugcdi1dVKhwDWAUCQA908flOwOci0t85tzM6kIhcC1wL0KVLl1re0jAMwzAMwzAM4+Cn\nKgbg1VTPAKyI9UDnqO1O3r5o1gH/c86VAqtEZClqEH4XHcg5NwmYBDDomGMcO3ZAaipkZEBSUh1F\n9wDAOSgp0V8opNvJyYemFgDFxfG1SE/X/w8lSkpUD9PCtIjGLy9KS8u1SEnR8sK0OHS1CAbL80gk\nYlpEa5GUVF5eBKq1etaBj2lRTjwt/DxyqGlRWqpalJaaFom0SE/Xv42UqowBnFyH9/sO6CEi3VHD\n7xIgdobP14GxwNMi0gZ1CV1Z4VULC+Gbb0BEhW/VCjp2hNattaA62IhEYMcO2LwZNm3SQgm0AiNR\nE7SKqAYdOujftLSGie/+JBKBnTtVh02btDIncSapFdk7XRysWuzapTps3FieLnyc146TlAQtW2q6\naNNGC6mDjWgt/HQRi3OqRYsWmi4OVi2c0zyyebOmi3ha+ESni4yM+otjfeGcpovNm2HDBv1ow75l\nhgg0b16eLg52LTZuLNciFhFo1kzTxWGHQWa1RoUcGDgHu3eXa1FUFD+Mr0XHjge/Flu2aB6pTAs/\nXTRpUv9x3d84B/n55VoUFMSvXwBkZZWni4NRCyhPFxs3qhaJyMoqTxdNm9Zf/OqT/HzYuhXWr1ct\nouvf/v/OaR5p3x7atm10WohzddW5V8Ub6lqC/0BdRZ9yzv1RRO4FZjrn3hQRAf4GnAmEgT8656ZW\ndM1BvXq5mc8+q60OkYgWWH5G7dwZunZtdMLXiNJSLYRWrNBKXGqqPlei1hbn1Dgu9IZlduwI3bpp\n5jzQKS3VQmjFCq24VEcL56BTp4NHi1BItVi+vOpaFBWVa9G+PXTvrgXVgU4opAbfsmXV08IvwDt0\n0HTRvHm9Rnu/4GuxfLk+Y2qqVkwStUg6p5oVFGg5evjhcMQRB4cW4XC5FoWFqkHTplXXom1bOPJI\nbSw40AmHtRK3bJk+X020OOIIbSw40InVIhBQLRI1HPseN3v2qBaHHVaeLhIZBgcKkYhqsXy5Vm4r\n0wI0XURr4aeLg0GLrVtVi927tQc8K6vqWrRuremiVauDU4umTStuRI/WolUrOOqog0ML58q12LWr\n6loUFGhZ07KlatG69X7VQkRmOecGVRquMgNQRL4FxjvnForId1TiDuqcG1KtmNYBTXv1cn0nTeLY\nQIAfJSdzTiBAmkh5L0BpqRqCRx55YLbkhsPayrB4sT5TixaQkkLEOW4oKWFmOMx27z12SUpidCDA\nr2ILqkhEM28wqMbPUUcduFps3KhahELkNWvGKyJ8Gg4zPxLh9ORk/ub14jwQDPLj5GT6JSUh0ZnN\nb/kOBrXC36PHgdmSG4log8CSJeSGQmxo2pQTvGc/cs8eMkXoLsJpgQAjAwG6x3MH9rUoKSnX4kBs\nvYxEYONGihcv5r5IhJmpqawASoEWIoxPSeHXlXkD+C3fJSXQrh307HlANhyFwmE+X7WKN9auZU4k\nwg9SUri/SROcc/ympIQTo8vIRPgt30VFqkWvXgecFsXhMNtKS+m0cydu0SKOdA6XlETX5GSyk5IY\nGQhwcnIyyZV9iKO1aNtWtTiAGo6CkQjPb97Mh9u3s2j3bnYUF5PqHNcEAtxa3bzunFbsCgu1wt+r\n1wHTcLS2uJipW7bw9e7dDM3K4nfp6YQXLuSiSIQTU1IYnZERv4ysiD17tHLXpo1qcQA0lpREIqQl\nJbEnFGLw7NnsCYc5TIRexcUMDwYZlZlJm5rUDXwtWreG3r0btRYR5/hs507ezsvju/x8NgaDBCMR\nbuzQgd9lZsKiRRQVFJCRlVWzepKvRatWqkUjbTgqDod5b/t23tm+nWEtWnBpu3aURCKcOXcuA5o0\nYWRKCqesWUNyQYGWebXRokULOProRt1wtKGkhLPmzmV3OExAhO7p6Qxt1oxL27ald3ExLFqk34Km\nTWtWZywo0F+zZqpFq1Z1/xDUrQH4NHCvc26ViEymcgPwqupEtC5o06uXy/73v/k2EiEfaCvCxLQ0\nrvJbNJ1Tl8lwWDNj584HzpiG7dth/nzNRK1bk5+czFfhMD/2ejR+WFhIBtBOhAiQG4lwZiDAnWlp\nlDrH1FCISwOB8kqO7w4WCmkFt2vXA0eLHTvKtWjZkl+FwzxWWkop0EmEgUlJnBMIcH1qKoXO0WzP\nHsLAD5KSuDstjTOSk+MbgqWlB54WO3fC/Pnk5OdzR5MmvBuJMDw5mQ+9QunG4mLWO8eicJilziHA\n39LSmFBRy7ZvFPfoob1gB4gfv9u5k9Xz59MtPx/XvDl9QyHSgF5JSaQBW53j9ECACampFDjHXSUl\nTEhNpVNFlb2dO9UQ7NFDe0cPAC2cczy5ciUT165lJZAOHJuUxNUpKVyTmsp25zhyzx52Ai2Bm1JT\n+XVqKk0rM4D8BoIjjtBfIx7TALA7FOIf69bx4Nq1nOgcb+/ZAy1aMC4SIQKsjET4PhKhGLgtNZU/\nVccdfPduNQSPOEIbFBuxFmHnSBYh7Bztv/yStHCYAaEQh6WkUJyUxIhAgCtSUtgUiTC6qIi709L4\ncWwZWRG+Udy1qzYoNtLhFnP37OHOVat4Ky8PB/RIS+M3kQjX7drFtmbNOCkSYUkkAsCoQIA7U1M5\ntrrfgfx8NYq7dWu0WryXl8cfVq+mR0YGzx59NBHnuGTuXJrk57O1pITvk5PZAPwhNZW7ajNEwq/w\n++miEQ63KAiHaf/VV5Q6xzFNm9ItPZ2UcJjzCgo4Py+Ppc2b84NQiF+kpjIhNZXmNe2t8bXo0kW/\nJY1Ei/xQiIfWr+fva9eyPRSiZSDALV26cEuXLmwoKeHCefPI2bOHQqAr8Pu0NManpJBSm16rggLV\no1MnrW81guEWG0tKuHf1aponJzPxyCMJO8eFCxbQNDmZkkiE5UVF5OzZw7/S0/nZ9u04z/CrchmZ\nCF+LDh3UJqljLerMADwQ8F1AQ8nJfBwO83AwyITUVE4LBHDOlb+sUEgNqmbNoH//xt1yWVqqbimr\nVmlLWkYGr5SWckNJCbudY13TprSuJBG+FQpxXlERxyUlMSk9fe+Pmq9FVpZq0Yhb66K1cFlZiNdq\nfXNxMQXAT1NSyI7t5QO2RCJMC4V4IBhkjXOMDAR4PC2Nw2Mr/uGwapGZCQMGNNrWOkDf2/Ll7Fm5\nkpszM3kCrcz/PDWVq1NS6BrHqFkZifBUaSmjAwGOS05mayRCpghN4qUfX4uMDNWiEbfWEQqxdulS\nrtu4ka+Tk1nVtCktRCh1LuGH6oNQiHOKikgF7ktL4xcpKYl7gMJhbXRIS4OBAxu9FqxcycVr1rAq\nEOC36emMCAT2ecdh55geDvNIaSlvhkIcLsL7GRkMqKzCG4loukhNVS32U8tlbXl961auX7qUzaWl\njAqH+XlyMsPj9NYVOMfboRBDk5PpmpTEwnCYIuC4qlT8o7Xo3197fxoRYed4aN06nt28ma8GDCBj\n7VrWLV1Kx4wMJI4WOeEwo4uKyHWOEcnJPJGeTseq9oT549EDAdXisMPq+Glqz7CcHHL27OGXHTpw\nZSjEEcuXa/kW9f1fGYkwubSUh4NBdgEzMjM5obpGoHOQl1euRdu2dfsgNWR9SQnXLlnCu9u3c0R6\nOjd37sz17dvDmjXao5GWBs2b45xjTiRCJxHaJCXxQSjEnEiEmyoqIxPhnOaRpCTVol27/fNw1eD7\n/Hz+sW4dT/fuTZII/9u9mwFNmpAhAmvXqhapqdC8OasiESaUlPBGKER7ER5KS+OCmjb2+B0QUK5F\nA7tCnvL993y+axfntG7NLzp25LQWLQgkJWl+XrcOFi6kMCWFt5s04e/BIP+LRPgoI4PhtW0I9Tsg\nnIO+fXX4SQNoEXGOh9ev5/aVKwk6x02dOvHnI4/cN67r17NtwQJSAwGatWjBk8Egr4ZCPJqeTrfa\nTrDoaxGJqBYdOtSZFvvdAPTG6rUBtrkGtiL3GgMYw2+LiykEHkxLK3d58l1YevXSFrvGNlPm9u0w\nZ44aPq1aUQT8rLiYZ0IhjktK4rH0dAZX4ePknOPFUIgJJSVsc44HvArvXoaS3xLRq5f2dDQ2LXbs\ngJwcKC1lY4sWXFJSwj2pqQyrRkEUdI5/eh/3WZmZHJboGQsLtSW3Rw9t4W9svYE7d2q6KC5mUlYW\n1weD/DolhbvS0mhRjYLj4qIi5kYiTEtPT1zxLyzU3o4ePbSno7FpsWsX7+TkcFkkQqkIf0pL44Yq\ntlCuikT4eXEx74bDDE9O5r/p6bStKN0XFakWRxyhLdqNqDfQOceDy5dzzsaN9CwspLhVK9LiNIbE\n45twmL8Fgzybnq6VoKpQXKw9gt27a9poRFpM3riRq5YsIRt4oqSEIS1bVjndji4q4u1QiD+npTEh\ntoxMRHGx5snu3bVFuxFosamkhLGLFvHpzp2MaN6cpwsKOCw/X93yKtAi6Bz/Ki3ljpIS0oDnMjI4\npzrP42vRrZtq0cA9o/P37KFTWhotUlJYUVREq5ISWi5apHGsQItdzvGf0lJ+nZJCkgjFzpFe3UpZ\nSYl+t7p21e9qA2rxyY4dXLBgAcWRCPd2784vOnYktagI5s7VOLZunTDdTigu5h+lpQxLTub59HQ6\n1KRuUFKimnfqpD0dDdAz6pzj7+vWcevKlbRJSeG7Y4+lk9/jUlgI8+ZpnatVq320+C4c5rriYr6P\nRLg2JYXH09Jq3vsTDOp9OnZU97967g0sjUQQIJCUxFe7dpEEDI1u+C8qUg+rrVv3ShfOOWZGImV1\nztnhMMdU8RuTODKl2ljSoQP06VOvWmwJBhm7cCEf79zJ2a1a8VCPHhwZ69paVAQLFuiY2Cgt/h0M\nclNJCQHg6fR0RtVF3i4t1XTRrp0agnXQG7jfDEBvEpc7gOPQWURDwCx0spZ3ahDXWjMoPd3NzM7W\nj8/RR8PQodCmDc45bikp4a+lpfwwOZnXMjLKe83CYdi2TV9u//6NYwxYOKyTmixfrj1y6ekEneOk\nwkJmRiLckZrKnampWsktLobvv9dfbq5OcFBcrAm1ZUv9+HhabG/ThvFFRbwVDjMhJYW/xyYwX4uW\nLbXXpzGMAQuHYeVKWLoUmjdnZmoq5xUVscs5nk9PZ3R0xisuViMxJ0d7TP0Z7XwtunSB3r0pGTqU\ntHbtCDvHG6EQowOBfQuxSES1aN5cezoagxaRiD7XkiVsa9qUNk2aEHGOnEhkX1elkpL4WiQna89m\nly58/IMfcFl2NruTkngxI4MRiSp6vhbNmqkWjWEMWCSCW7WKv6xYwW2pqRzjPcOR8SonwaAazN9/\nr1r4sz4mJeFatuTpM87gxlNP5TTneKey3r1IRD9YTZuqFo1gDFhJKMS42bN5sbCQW4CJFcWptLRc\ni5Ury2c69GaEze/WjRtHjuQvWVkc3qFDxTf2e8AyMiA7u3F4UjhHUW4uTy5bxvWpqaRUpsW8eTB7\ntmqxYQM7gauuvprXjzmGS5YsYfLq1aQdf7xWXCu5L3l5+tHOzm5QT4qc/HzOnjePnaEQj7ZuzZVr\n1iCZmRXn21BoLy2WB4NcMm4cPbZs4YWXXtLn79ULjj9ey9GK8Ht9UlNViwbypHhl61bGLVrERW3b\n8nSvXjp+fv58fUcVpYtQSMN9/z2sWMHqoiJO/NWvePiFFxi9alW5u9aQIfp9rWwM7fbtavxlZzeY\n98CGkhJuWLqUvxx5JD0zMrQMnDdPK9wV5dtQCLdwIZPz8vj5gAG0Kijg3X/+k/7r1ul77dBB08WQ\nIdoAUhUtAgE45ph61aI4HOaaJUv475YtjGnThkm9etE6JUXjtHGjapGSUmG+DYVC3L1pEykbNnDP\nW29pevInUIvWYtAgbSytzDDye0azs7X+WQ9sCQa5YMECjsvK4sGjjto3wKZN2ijg1xMSsCgUYkBh\nIaM2bOC5adNIX7OmfAK15s1Vi549YfBgbSytTAu/Z3TgwHrzHvg+P58fzZnDn484gmvat9+3Drh5\ns2rhzxAew6pIhIuKipgZifCHXbu489NPkWXLtOfUnyirRQvt3ezZU9NFz56Va+H3Bg4cWGvvgf1i\nAIrIdcCjwHTgVWAL0BYYAwwHbnDOPVGjGNeCQU2buplduqgh5E9ZPHAgXHABDB/OVBGuLC6mmwjv\nZmbuXVnctUsL/gEDdNa7hmLPHq2g+a21UXH8WzBIz6Qkzg0ENMxLL8Fnn+mzJifrR7p9e62QhUJa\nIcnNLZ/9s39/3Pnnc/9pp3F6Wlri3kN/kpj+/Rusax7QTDR3rmaINm2YHokwqqiINiK8mZFBfz/+\n8+fDtGmqRWGhatGxoxZCvhbbt6sW/pTFffvy7A03cGWfPvwyJYUH09JIivec+flqLPTvX6dd89Um\nqoXy4WbN+EMoxMzMzH3dDxYs0HTxySf6rElJ5ekiM1O12LFDDaGCAja1bMk5Dz5ITufOPJaSwk8r\nagDZs0fTWr9+qm9DaVFUBPPm4bZt47KsLJwI/0lPJzM2PosXa7r45BONe1KSxtvXIhzWtLVqFTnt\n2tFuxw7at2kD558PZ51VcWOQ7z3Qt6+OJW4gLXbl5zPq++/5NBJhYiDA79LT47fILl0KL74I06dr\nmhYpzyOZmWUufF9mZHDGPffQfvt2PvzXv+h+yilw9tkVN4D4A9r79FHjoAG0WFFUxE1Ll/J0MEir\nmJbrfVi+XNPFxx9ruS+iOnTsCJmZuEiEiYMGcfu55zJ81ixeu/NOsjp0gNGj4ZxzKjakfC2OPlq1\naABPiuE5OSwtLOSdQIABfuNmIi1WrVItPvxQtQDVolMnipo1I+IcTbZuJW/7dlquX0+Sc1rRHzNG\ntajIkPI9KXr3rncPmyc2bOBnS5cytFkzXunRg/bLl2tFvyItcnM1j3z4YXmFtH17tvTqxXnXXMN3\nHTrwyMsvc/0LL2i5AWoAjh4N551XsSHlew/Uo4dNKBLh3xs3cm2HDuWum8EgLFyoxkubNom1WLtW\n08UHH+i3E8g5/nhG3HYb+enpfDdpEr1WrFD3UV+rLl1g1CjVoiKj3/ceqEcPm7ELFzJ1yxb+2L07\nt3XpomVkMKjfiLVrNV0k6sVZt07TxQcfaEMoQLt2/O+EE2gNHLV9uz7PmjVlWtGxo6aLkSMrNnT9\nHvN68LBZWVTE8Dlz2BQM8mSvXlwW7Y5bWgpLlugztGyZuId240Z48UXce+/xt2HDuPlnP+OUhQt5\n47//pXkgoGXpzp2qaV6entOhg+owalTFhq6vxZFHqh77SYu1xcV09jo/8kMhsmLzQGmpfi9zc7U3\nOJEWmzZR8vLLXNutG8+ecgpf3XgjP9i2TetbWVmqxa5dqoWfbg4/XLUYPbriIQN+j7nvSVFDr5L9\nZQCuBt5xzt0Q59jjwNnOuUqaCeueMhdQEe1B++ILeOcdTdStWsEVV/DFBRcwKhQiS4QlTZrsPQOe\n3x3t9RTVq8uG52cc20I5Jxxmj3OcGAhomK++gqeeUgOwWTMYPhxOO00N3XgV1khEtZgxQ7XIzdXC\n+fLL4ZJLeDo5mdGBwL6ug74WnTvXv8uGc/u0UM4JhxlSWEjPpCTez8hQN5RvvlEtZs/WStmPfgTD\nhmmLWrwKaySiLf0zZsC77xJZtYrf/upXPDhyJJeK8EyTJgTiVV5DIc3AHTtqJbe+tfBaKF1KCven\np/P7YJBRgQBT09PL0+9338F//gMzZ+qzn3aapo3s7PgV1khE08KMGeyZPp0Lr7iCnB49WPDJJ7S6\n6KLExo+vRQO4bACwaRNu7lx2JSfTokULgs6RAnsbPbNnw5NPwrff6nOcdpr+jj02vhbOwerVMGMG\noffe44oLLmDsl19y3hFHwBVXJK7w+40sdeiyUR22rV/Pj5YuZQHwdEYGl8crr3JyNF18/bU2hpx6\nqqaL446LX3l3jm/Wr+fsjAzSCwv5YMIE+m3dChddBFdeWbkWbdtqA0E9ajF3zx5+nJNDsLSUj8Nh\nBiaqcM2bp1rMmKHpdtiwci3iVN6fDQZ5vKCA9z/6iKy339bGlYwMbVC86qrEFf5wWLVo00a1qOdZ\nlrds3EjJggV0hsSVzwULVIvPP1ctTj5Zy8/jjtun8l7oHEMKC+lfXMwz06eT+t572jCXnq6G4NVX\nJ67w17OHjXOOiWvWcPuqVYxo1YqX2rcnY+7c8mno47F4sWrx6af6zfe1GDSo7LkKnOOioiLeDYe5\nNzWVO7dt0zz1f/+n3+K0NK3UXXNNYs39dOF72OxHLSLOcfXixTyzeTNv9uvHuW3aqHGSk6N5NVFF\nfNkyLTs//lgrnT/8oWoxeDC0bMnaSIQnSku5NzVVG0yd016jr76C99/XsjctTY3An/wk8X18r5IW\nLerF2ygnP5+FhYVc6hs9/pCSYDDxVPwrVmi6+OgjNdhPOqlMi3CrVvQtLGS7c3zkj512TnuNvv5a\ntZg5U9PTuefCtdcmrvD7XiVZWfvNw2ZxQQHD58yhOBLhvQEDGBxddu3cWa5FoiUaVq3SutYHH+j2\niSfC6afzwvHHMy4lhX5JSbyXkUG76IYNX4sPPtBvcSAAI0aoFonGgkZrMWBAnXvYvJuXxwULFvB4\nz56Mi9fRs2uXalFcnDhdrF6tWrz3HgDuhBP4/PzzOaVXr8S9l1u3lmvxzTdq3J59Nlx3XeIOJ9+r\nJDNT00UNPGz2lwG4BxjtnPswzrHTgdecc/XuJxZ3DGAkoolvyhR9AYcfzoKbb2bVCSdwTrwKU0O4\nbBQXa6vcpk17tVDOCYc5tbCQjklJzNm8meS//10TT/v2cNll2pJQncqFc2ooTJkCX37J8gED6Pvg\ng2QHAnyYmUmz2MQe7bKRnV0/Ez6UlOgg7PXr92qVc87x12CQn6am0nL1anjwQfjySy1IfC2q8xFx\nDmbNwk2Zwp87deK2a69l7KZNPHfEESQnannyXTYGDqyfCR9iWijvjkS4Nxjk8kCAp9PT1Vhdu1a1\n+PxzLXwuvVQrItX5iDhHaU4OG99+my5vvKG6X3utXidRS/WOHVo4DhhQPy4bwSAsWYJbs4bfNWvG\nm5EIXzdpQqvoNLtuHfzzn9rj17o1jB2rvXnV+IjsikQ4Iy+P71NSeP33v+fspUvhpz/V6yRKF/5g\n9gED6mfCB6+1dveaNVzYpAk3paeXzQZcxsaN8NBD2pvRqhVccokaLlX8iMwPhzmjqIjSUIjP/vMf\n+rzwgrr2/OQncOGFifNhaP8AACAASURBVFskffeVAQPqZcKHhbt2cXJODunhMB+kpdEnnuG5eTM8\n/LB+sFu0KNeiCq6J/gyaxc5RvHgxLf77X71OVpYaPpdcUrkW9TDhw/vbt/Pv9et5PimJdL+RL54W\nW7fCv/6ljYHNm6thf9FFlX7n/lJSwi3BIBcEAryQnk5gyRJ44QU1gDIzYfx4LYcTNZr6Hjb9+u1X\nr5JtwSADZ87k1ObNmZyURMrKlYm12LYNHn0U3npLy8sLL4SLL05otISc45riYp4NhXguPb28wWXp\nUpg6VTVNT4dx47ThKFFDoe9h06/ffvEqcc7xi2XLeGTDBv7QrRt3de68z5CSfdixQ7V4/XX9jl5w\ngabtCr5zqyMRFkYinBWd/v3e9TffVEPwiitUj0QNhfn5+s3v27fOvUp2lJby4tatXBvt3ucPKVm2\nTMvCePWnnTvhiSfglVf0+Jgx+i2JKduXRiIMLyykBPg0I4M+sd+HVas0XbzxhpYRl1+u+SRR45jv\nbdSnT516lRSFw/T89ltKIxE+HDiQ/n7dIBzWRuClSxMvZ7B7N0yapF5FfiPH2LF7GS3vhUKMKSri\nD2lp3Jwozfu966+9pnWKSy/V8jNR/dX3sPG1qIMe83fy8hg1fz4DmjThvQEDOCw6rn6D+OLFqkW8\numR+vjaOTJ2q5dzo0foc7duXBfkkFOKZ0lKe9Otn8VizRvV85RXdvvhi/a4mqr/6M8j6HjbV0GJ/\nGYBvAXOcc3fEOXYfcKxz7uwqX7COqGgSGECNn4ceUgPjBz+A22/nlTZt6J+cTM9YUYuK9KN15JH7\nb5pvv8Vo3jzN7FEf4WWRCCcVFpLqHF+8+irdHn1UM8u11+oHu7YTDcyaBQ89xJvNm3P+vfcyxDne\nb9Ei/lTwvstGt27aNb+/tNiyRbVwrszY/CwUoktSkq7LFAppy8t//qOF6E9+oh+p2sYnJ4eJCxdy\n7+mn880jjzDgmmu00IlH9IQP+3Oab1+LcBhatWJqKMTY4mKuTknh32lpJIXD8OyzWjinpmphOnZs\nrXvk3Lx5/G7VKtotXsxvly6FO+7Q9x4PX4uuXdVNYX9psXWralFayj1Nm/KH0lJuTEnhYX8gfjis\njRqPP66F4/jx+rGtYS/UTucYXljIgnCYdyZNYvjUqVqJv/NOdVmKhz/hQ+fO6ua1v3pGt22j0NMi\ns1UrHDG9n5GIfqAeeUS3x43TnrsaaLEsEmF8URHPZ2TQfelSNaL+9z/9EN15p5YF8fAnOfAnfNhP\nWqzauJGTFi8mAnzRpAlHxVbAnNNKx8MPqy5+BayaPS/OOc4pKiLPOT7MzCRr2TI1or76StP9XXfp\nc8YjesKH/TDNN8CMnTs5Y84cejnHJyUltIjXcu0cvPqqNpCUlmrF5aqrqtVQ9I9gkAklJVwRCDA5\nPV17gJYv17T2xRdaHt55p1bm4+F7lbRvry6y+6lndNOWLbRduJCkkhL9jsR+251TA+Xvf9d8e8kl\n+i2pghZh53iwtJQbUlL2dTnPzdV08emn+n24805tCImHP+FD27aqVx1p4Zzj1pUr+cvatdzcuTN/\nbtUKmTdPK9MxQ0q8E+Ddd+Gvf9U6z0UXaYNXFRqKLikq4tVQiJczMjgvtj6yerUalNOn6/fhzju1\nETke0d4DffrUSc9oQTjM6XPmMDM/n3mDB9MrM1PrMPPmlS2lFbci/f778Je/aJgxY7SHpoKGomWR\nCCd7Q2w+y8zctx4J2jD56KPa+9O5M/z+99q7HA9fi8MOUy3qqGf0o+3b6ZKeTk9f2927VYvduxNP\nhjR9Otx/v4YZPRquvz5hQ9GySISjRCqfEGbDBnjsMW046tgRbr9dxxXHwx+606qVNpbUQovPdu7k\nzLlz6ZuZyfTsbHVX9cnPVy28oUZxtfj0U/jTn/QbP3Ik/OxncRuKHgoG+VVJCZcGAjybnl7xrLmb\nNmmd5Z13tIHw9tvhhBPih/XTha9FFcvtulwHsE/UZkfgSeBd4HXKxwCOBs4CfhKvd3B/U6kBCFoR\neOkl+Ne/KExL46gXXiA5I4Mv4o2nip7mu29fzZR11UJVUKCG6ObN+/gZr/WMv8JwmC/uvZfen32m\n4y1+9au67ZGMRODVV3ll1iwuvuUWTtqxg3c7dyYznn7RvYF9+2phXZdaLFmivRYtW5ZVGL8Ohzm9\nsJCTkpN5b+tWrWgtWABnngkTJtTtwGnnWP3++3SdOFE/ztddp5WkirRITlYt6rJ1v7BQW6FitChy\njke9WemS169XLebOVZeU3/62znokw85xWXEx00Ih/vXEE9z46qtaORo3rmItkpJUi8MPrzstioo0\nXWzYAM2b8xcRbgkGuSoQ4Em/ArphA9x9t07YMGwY3HxznfTC5TnHqYWFrIxEeG/ePH54552aTq+5\nRo2IRN4D/niYPn20oltXY32KimDZMkrWruW8pk0JJv1/9s48PMrq7P+fM5NkZhL2VUXZBBUXcNfW\nWvcqtkWtS20Vl9rX3+tSt7pbUdC22lpp+1qtS7Vu1VrEuq+Aa7WKgoCsSQhrAgmQffbn/P6452Em\nYbaEJAS4P9fFRWbyZObMd845z7mXcx8PMwKBlvtWq6pg8mRxdB19NNx001bvZ3aPz3GsZaO1DJg5\nUxZIdXWiwyWXpDf8O1OLUAiWLWPlqlX8uKSER1L3A7usXw9TpkjGxLe/LVoMGdLut3w5GuWsUIhv\neb28GQjIsRozZ8K998rCYeJEWThnMnY3bZL5dt99JerTQVp8WVPD8d98w67xOB8WFjIo3eK5pgbu\nuksyJg4/XBYauYraZODucJjbIxHuLCrijtTP+sEHcM89skj56U9lsZjJ2HW12GcfaUcHaPFUVRVz\n6ur4QyyGZ8UKidCm02LjRvj1r6W9Bx8si/Fhw9r1nvXW8m4sxpmt54JPPpHF4vr1YlxefnlmA889\ni9fVYiv3PVUEg+z/xRdcMHAgf3EcTEWFaJFu8VxbKwv8GTMkq+VXvxLDNU/qrOV7zc3MdRxeDQT4\nXrr7w2efiRZr10qE9corMy/ka2vl3ruVZzSHHYcfzp/PjE2beGG//Tizd2+J+pWXZ47u1NdL/33n\nHXH23XabODTyYGE8zrHBIKcXFPBINgfP7Nlw991iEJ5xhqznMi3k3bN4t+Jc4rXhMJ/V1/Oj1Ayd\naFR0KCsTHdK9f2OjzPFvvCHz1a9+Je3Ig8XxOLdHIjzh92c/V3bOHJmTVq6UFNlrr83sdKivlzl/\n770lAtbG4Mf6SIRR//0vu/t8fHjggQxw71fRqDhtSktlrkinRVMT/OEP4jDK5exLcE84zC2RCBcW\nFPC4u07Jxrx5osXy5ZIWet11mZ0O7jmje+2V1xnNHWkAOrQ8/D31U9nWj621XV4vPi8D0KWyEn7z\nG75ev57j/vxn+vj9fNSzZ/pzj9wI2IABIvzWVDULhaTTlZfLDTJN1anrgkH+Fgwy65prOHjtWpmM\njjuu/e+Zi6oqnnv9dS740Y946Ykn+ME552ReILibU/v1kwG5NQZpOJzUoqioha5u+mt/Y/ho5kx2\nvfdeWVzdcgucdFL73zMX1dU88u67lDc08NvPPsNMnpy56p2rRd++Min06dN+4ycclsmwrEyMi4QW\n78ZiHOb1yh5NayVF5/775YZw881w8skdnkIUtZazQyFejsV44pVXuGjqVLkRTJmSORoYicjCrk8f\n0aJv3/a3KxIRLUpLZSz36cPTsRgXhEKcW1DAM34/XoDXXoP77pO/ueEG2V/QgVqscxxOCwaZ6vfz\nrfp6ea+335Z+P3ly5gVCJCL9olcv0SLTvop8iEQkzXfZMmJeLz/2+5kej/M3v5+fuQtPa8Wj+rvf\nSTT0l78UL2UHanFNKMQbsRgfFhezS3299ME33hANpkzJvECIRqVf9OwpWmTaV5EP0SisWkX9smX0\n8Hrx9OmzZQQUZBF3zz2i3TXXSPpuB2jxQjTKT0IhTvB6eTUQkP239fXwxz/KAmHkSOkXY8Zkbv+m\nTbLQGDNmq7VYWF7Od9eupQfwcUkJu6dbJM6cKQZPKAS/+IVEeLbC4LLW8n/RKOcUFGx5jmpjo2TY\nTJ8uc+aUKeKtTofr0e7RQ/rFVjhXX6qq4qzFiznOcXg9FsOXabx98IFo0dAAV1whhupWaHFLOMw9\nkQhP+v1c0NoIbGqSaKBbQXXyZDGy0uFGOoqLk1q0t12xGIuXL2evigo87r7HdK/1ySfy/dTVibE+\ncWK7jIxN1nJ8czNLHIc3AwGOSbf2am6WqM/zz4sj6M47xfjO0H42bpS10Zgx4sxrgxYxx+GchQt5\nqaaGJ0aP5iLHEYeqtXJPSvdan30mWmzYIBlWF17YZiOj1HEYagxFufpwKCTppc8+K9/znXfK/sq0\nHyaWPH+2jVpsiEb57pw5rA6HKT/ySPp7PLLmXbx4c1ZR2teaPVvaVF0tWUWXXNImLV6ORjkzFOIY\nr5fXA4HsR6eEw5JS+dRTMhdOmiSV+9Phnkvs88kYGTy4Tf3imaoqjuvblyE+n7xWZaU4l2OxzFrM\nnSvO5cpK6ROXXpp3ttnkcJg7IxEuLyzkgXyODIlEJLvtiSdkDXX77bLnNB2uFkVFshbZZZeMY7cj\nDcBjcr1IKtbaD9pyfUfQJgMQZFJ4+WU+f+01Tvz1rxliLR8MHMigTBOhm4vbv7/c7Pv1y2/StFZu\nOqtXy8I2UXI9badbt47YXXextLKSfYcOFeOvK/abWcvyGTMYcddd4p299lrxUmXquG6Odt++kiLb\nt29+urtarFkjaSJu6muKjksdh6ObmylyHD76/e8Z/uabkrI7aVKX7De7MhTiL9Eov376aW79xz/E\nU3fWWdm1aGqSgbvnntkrzbUmtV8YI6+R0OLNWIzTgkEuLizk4aYm8R5+9JF48SdN6tRqtSFrmRAM\nMiMe5/llyzj7hhvk5nXllZKznmnydc+T7N1btMhWaa41jY3JfgEttKh2HH4fifBrn4/C2lrxKs+a\nJQuJO++UqEon4EbAQFJD+7iLyMZG8ez/9KeZ5wC3CqKrRbZKc61xtaioAMDp3ZufxWI8GYvxR5+P\nq10vZm2tGDvvvSfpZlOmtDu6kw03Gj/S4+H94mLZe/nRR9In6+okYj5xYubv2tWiV69kv8hXi6Ym\niSAsX069tZzg9zMuEQVuQX29GMFvvSXR6ClT2h3dycTfo1EuTqRi/y31/T/9VN5v40aJmF98cWYt\ngkHRomfP9mlRWQnl5XxpLRf5/bxUXMyodMbYffeJk2TMGGlbG6I7+RC1ltdisZZH8YDsuZ88WSKP\nF18si8hMn891rvboIc6EAQPyTyVvbua95cv5/vr1HGQt7xUX0yPd+zQ1yT7pf/9bHBVTpuQd3clG\nKJEaPCseZ1rrI4lcvvxStKiqkiyKSy/N/PlCIenDxcXSvoED89bi0YoKwnV1XLl+vSwQM92Pg0Fx\nWLz4ovS9KVNkEbkVVDsOxwSDDDKGWYFA5sXu3LkyV69ZI/tFL7ssc8Q8VYs99xTjJw8tPqyt5bi5\nc5naty9XVVeL06Vv3/T9LxSS9PB//lPGxpQpmZ03ebLecbgqHOb/fL7M5wyDFPubNEnu++eeK/fV\nTNFDVwu/X9LuBw7MmlbfEItxwtdfM6+xkTf33pvjQiFxpmbTIhyWNNV//EOir9mcNzl4JhplYijE\nhIICpvn9uc/kXbRItFi+XNZZV1+dOWIeDst84ffLGBk0KKMWy4NB1kYiHOUGWUIhybgrK5PX6dMn\nfZ+KRMRIf+opWVdMmZLZeZMB9+i5Kmt5IlcqaCpLlogWZWWy/r7mmswRc9fR7PeLPTJ48BZ9qNMP\ngu9OHLrPPnb21KmykPZ6ZfLIZ8/FmjV89NRTnPzzn/PbmTO5+sQTs6cXusaP1yuL8IED5b2KimRh\nbK0MtlBIPDhr18rE654zk2ZiaLaWq8rKuOvGG9m1ulrCwKefnp9XNBaTNkWj6X/v8UgnykeLqire\nfv55/j1gAH/54gs8t9+e3QB1y557vdIBBw6U98qkRWWlaFdQIFqkWTyfFQzyYTDIR1dfzd7l5TII\nshlgrbVoapLBkUmL4uKsey4ca7kwFOKZWIwHXnmFK6ZOlTz1SZOyF7ZobpbvweuViWnQoGS/cKuE\nxWIt+0UGLT6KxTg5GGQfj4dZX35J7ylTpA/lMsDSaREOp9fO1cLvT/v7poQR+L+FhZxdVyeGz0cf\nyf6FO+5osfk5rRYNDfLZBg4U3TJpUVsrWrj9KMXw+zAW40ivN+lZdY2O+vrcBlg6LdL1C2tb9os0\nWvxfJMI9kQgfFxczwjVA339fzrO6447sRpe74Pd4klq4YySdFpWV0o8KCsRgKijgtnCY30QiUoHQ\nveH95z9yc6qtbZsXPxaT7ycclvdu/XmNSavFjFiMU4NBDvR4eK+4mJ5uyW83jWzsWFngZTsnri1a\n1NWJFg0N4PUS7NWLU6JR/hOPMz0QkONwXP77X1lob9ggqZgXXZSf4yFVi3Sk0eKxSIQjvV72b611\nqgGaK2IOyYWdMTJXZNLCXfSsXQsNDTR5vZT07g0FBTjWbpli9OWX0ifXrxcv/s9/3nFaBAKihzH8\nJRLhynCY+30+rm29kEo1QPfeW7TYc8/8tBg4UPTo0UMWd+m0qKzk08ZGTiwqYk+Ph/dbF4Rycb34\na9cmvfj5GFXxeMsxkkGLxkCAE4NB5jgOrwcCnJhO51QDdPRo0SLT/llXi4YG+XnAAOkXqVpAizHy\njzVrOD8W4xTH4bWSEjyZjG3X6Fi1KrcBlk6LUGjL3yXmzkq/n0BxMX1y3Zeam2Uf6osvyqJ1ypTs\nKXXu922MrMl22SWzFg0NsHYti+vr2cfjkXtqpn6/cKFoUVEhe+evuCK/9VE2LYD/eDycUFTEGI+H\nmcXFW1ZXTyXVAB02TOavbEZXOCxjxNpkv+jZU/pz4nOGIhFOXbyYD5uaeKmggB8m5k569crshFmy\nRCJO5eWSpnvVVfntSY3HZT4PBre4jzzo9XJFYSE/BZ4uLsaT674UCkmU+B//kHvpnXdmN7oiEdHC\ncbbsFwUFrI1EOHrBAiKOQ+luu+GrqpJ7ldsvMmlRWir9YulSMcCuvTa/PamOk+wXifnCJv55gGZj\nKPb75bVyjZFIRPYGPv20GKB33JE5Yu5eX1eXrJ2xyy7SL3w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3lxapEfO99pL5olVgqsJx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\nJPWECaAkSZIk9cQDdUx1OVc1mekAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a7d00f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creates an array of the true probability.\n",
    "parray_multiqubit_marg = np.zeros((1,2,2,T),float)\n",
    "parray_multiqubit_marg[0,0,0,:] = np.array([pt00(t)+pt01(t) for t in range(0,T)])\n",
    "parray_multiqubit_marg[0,0,1,:] = np.array([pt10(t)+pt11(t) for t in range(0,T)])\n",
    "parray_multiqubit_marg[0,1,0,:] = np.array([pt00(t)+pt10(t) for t in range(0,T)])\n",
    "parray_multiqubit_marg[0,1,1,:] = np.array([pt01(t)+pt11(t) for t in range(0,T)])\n",
    "\n",
    "results_multiqubit_marg.plot_estimated_probability(sequence=0,entity=0,outcome=0,parray=parray_multiqubit_marg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### Example 2.3 : Marginalizing over qubits loses information and can miss detectable drift\n",
    "Marginalizing involves throwing away information about correlations between measurement outcomes. As such, it is insensitive to certain types of drift. In particular, if only the correlations between measurement outcomes are drifting. This is perhaps a rather contrived situation, but it is possible. For example, consider the drifting probabilities:\n",
    "$$ p_{00}(t) = 0.25-0.05 \\cos(0.05*t) $$\n",
    "$$ p_{01}(t) = 0.25+0.05 \\cos(0.05*t) $$\n",
    "$$ p_{10}(t) = 0.25+0.05 \\cos(0.05*t) $$\n",
    "$$ p_{11}(t) = 0.25-0.05 \\cos(0.05*t) $$\n",
    "In this case, as demonstrated below, the analysis of the full data clearly demonstrates drift, yet the analysis of the marginalized data does not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "N = 10 # Counts per timestep\n",
    "T = 1000 # Number of timesteps\n",
    "\n",
    "outcomes = ['00','01','10','11']\n",
    "\n",
    "def pt_correlated00(t): return 0.25-0.05*np.cos(0.05*t)\n",
    "def pt_correlated01(t): return 0.25+0.05*np.cos(0.05*t)\n",
    "def pt_correlated10(t): return 0.25+0.05*np.cos(0.05*t)\n",
    "def pt_correlated11(t): return 0.25-0.05*np.cos(0.05*t)\n",
    "\n",
    "data_1seq_multiqubit = np.zeros((1,1,4,T),float)\n",
    "for t in range(0,T):\n",
    "    pvec = [pt_correlated00(t),pt_correlated01(t),pt_correlated10(t),pt_correlated11(t)]\n",
    "    data_1seq_multiqubit[0,0,:,t] = multinomial(N,pvec)\n",
    "        \n",
    "results_correlatedrift_marg = drift.do_basic_drift_characterization(data_1seq_multiqubit,\n",
    "                                                             outcomes=outcomes, marginalize = 'std')\n",
    "\n",
    "results_correlatedrift_full = drift.do_basic_drift_characterization(data_1seq_multiqubit, \n",
    "                                                             outcomes=outcomes, marginalize = 'none')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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apJQarJQ6PfrZE4TUQUSfIAjgtvSdEOqoeqFCSGRLH8All1zCRx99BMCsWbMY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Prww3FLO/uJ0MoB280S4iFUVQk96DHQ9Lv//iKgM+yZSh+30NFza+lSy8c0v9ERFgccYDfp1nj7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\nJEmSJA3YfwApDJwRp2eiawAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a80aef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_correlatedrift_marg.plot_power_spectrum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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e3bNnz6ZTp060adOGgQMHsnnzZgDq16/P+PHjadOmDSkpKSxbtgyAzZs3c8UV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\nsVdzCGzfDg0P+HIvMfYMH3sLBsDwBvh6dp3bqxc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SJkpkH+tqnb51wJDI58HBNJEOZWaV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\nkTL2/8qwcQOwKWcWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a8f5b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_correlatedrift_full.plot_power_spectrum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "What this demonstrates is that it is important to carefully decide how to analyze data from a given experiment, with physical motivations for the analysis used."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}