{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ba9e495d-e4df-48f2-b7f3-aa3340b0dc15",
   "metadata": {},
   "source": [
    "# REGCOIL-Like Coil Optimization in DESC"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52cb34b9-aa49-478d-aa2c-f88e87ed7130",
   "metadata": {},
   "source": [
    "This notebook will show how to use DESC's REGCOIL implementation to find coils using the surface current optimization method, based off of [1]. We will find a coilset for the precise QA equilibrium by first finding a constant offset winding surface, then running the REGCOIL algorithm in two different ways to obtain the surface current which minimizes the quadratic flux on the plasma surface, and finally cutting that surface current into coils and checking the normal field error and field line tracing from that coilset to confirm the equilibrium surfaces are retained with the real coil field."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20adf610-23ba-4500-a669-65ce85927af1",
   "metadata": {},
   "source": [
    "## REGCOIL Algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4d853dd-4568-4bb7-9173-ec16de7862ec",
   "metadata": {},
   "source": [
    "The REGCOIL algorithm solves the following minimization problem\n",
    "\n",
    "Follows algorithm of [1]_ to find the current potential Phi on the surface, given a surface current $\\mathbf{K}$ from a surface current potential $\\Phi$ on a winding surface:\n",
    "$$\\mathbf{K} =\\mathbf{n} \\times  \\nabla \\Phi $$\n",
    "$$\\Phi(\\theta',\\zeta') = \\Phi_{sv}(\\theta',\\zeta') + \\frac{G\\zeta'}{2\\pi} + \\frac{I\\theta'}{2\\pi}$$\n",
    "where the single valued part is given as a double Fourier series in the poloidal and toroidal angles:\n",
    "\n",
    "$$\\Phi_{SV}(\\theta,\\zeta) = \\sum_{m,n} \\Phi_{SV}^{mn} \\mathcal{G}^{m}_{n}(\\theta,\\zeta)$$\n",
    "\n",
    "where\n",
    "\n",
    "$$\n",
    "   \\mathcal{G}^{m}_{n}(\\theta,\\zeta) = \\begin{cases}\n",
    "   \\cos(|m|\\theta)\\cos(|n|N_{FP}\\zeta) &\\text{for }m\\ge0, n\\ge0 \\\\[.2cm]\n",
    "   \\cos(|m|\\theta)\\sin(|n|N_{FP}\\zeta) &\\text{for }m\\ge0, n<0 \\\\[.2cm]\n",
    "   \\sin(|m|\\theta)\\cos(|n|N_{FP}\\zeta) &\\text{for }m<0, n\\ge0 \\\\[.2cm]\n",
    "   \\sin(|m|\\theta)\\sin(|n|N_{FP}\\zeta) &\\text{for }m<0, n<0.\n",
    "   \\end{cases}\n",
    "$$\n",
    "\n",
    "\n",
    "The algorithm minimizes the quadratic flux on the plasma surface due to the\n",
    "surface current and external fields:\n",
    "\n",
    "$$\\min_{\\Phi_{SV}^{mn}} ~\\chi^2_B + \\lambda_{regularization} \\chi^2_K$$\n",
    "\n",
    "where $\\mathbf{B}\\cdot\\mathbf{n} = B_n$ and $\\mathbf{n}$ is the unit surface normal on the plasma surface $S_{plasma}$, while \n",
    "\n",
    "$$\\chi^2_B = \\int_{S_{plasma}} (B_n)^2 dA$$\n",
    "\n",
    "is the quadratic flux on the plasma boundary from the total magnetic field:\n",
    "\n",
    "$$B_n = B_n^{SV}\\{\\Phi_{SV}\\} + B_n^{GI} +B_n^{plasma} + B_n^{ext}$$\n",
    "\n",
    "where the individual contributions to the normal field are the field from the single-valued surface current potential $B_n^{SV}$, the field from the secular part of the surface current potential $B_n^{GI}$, the field from the plasma currents $B_n^{plasma}$ and then any external fields $B_n^{ext}$ (e.g. a TF coilset or other coilset besides the winding surface). $G$ is fixed by the equilibrium magnetic field strength, and $I$ is determined by the desired coil topology (given by the `current_helicity` tuple in the `run_regcoil` method below), with `current_helicity = (M_coil, N_coil)`. If `M_coil` is nonzero and `N_coil` is zero, it corresponds to modular coils, and non-zero `M_coil` and `N_coil` corresponds to helical coils, according to the formula $I = \\frac{N_{coil}*G}{ M_{coil}}$. `M_coil` is the number of times the coil transits poloidally around the plasma before returning to itself, while `N_coil` is the number of times the coil transits toroidally before returning to itself. The problem is regularized by the addition of a regularization parameter $\\lambda_{regularization}$ multiplying the surface current magnitude integrated over the winding surface $S_{winding}$:\n",
    "\n",
    "$$\\chi^2_K = \\int_{S_{winding}} |\\mathbf{K}|^2 dA'$$\n",
    "\n",
    "Smaller $\\lambda_{regularization}$ corresponds to no regularization (consequently, lower $B_n$ error but more complex and large surface currents) and larger $\\lambda_{regularization}$ corresponds to more regularization (consequently, higher  $B_n$ error but simpler and smaller surface currents), which we will show shortly in this notebook.\n",
    "\n",
    "[1] Landreman, An improved current potential method for fast computation of stellarator coil shapes, Nuclear Fusion (2017)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "90560dc3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DESC version 0.12.3+868.g4e0793ab0,using JAX backend, jax version=0.4.31, jaxlib version=0.4.30, dtype=float64\n",
      "Using device: CPU, with 3.17 GB available memory\n"
     ]
    }
   ],
   "source": [
    "# imports\n",
    "from desc import set_device\n",
    "\n",
    "# set_device(\"gpu\")\n",
    "# uncomment above line if you are running on a GPU for a big speedup!\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from desc.equilibrium import Equilibrium\n",
    "from desc.geometry import FourierRZToroidalSurface\n",
    "from desc.grid import LinearGrid\n",
    "from desc.io import load\n",
    "from desc.objectives import (\n",
    "    FixParameters,\n",
    "    ObjectiveFunction,\n",
    "    QuadraticFlux,\n",
    "    SurfaceCurrentRegularization,\n",
    ")\n",
    "from desc.optimize import Optimizer\n",
    "from scipy.constants import mu_0\n",
    "from desc.magnetic_fields import (\n",
    "    FourierCurrentPotentialField,\n",
    "    solve_regularized_surface_current,\n",
    ")\n",
    "\n",
    "from desc.examples import get\n",
    "from desc.plotting import (\n",
    "    plot_comparison,\n",
    "    plot_surfaces,\n",
    "    plot_3d,\n",
    "    plot_coils,\n",
    "    plot_2d,\n",
    "    poincare_plot,\n",
    ")\n",
    "import plotly.express as px\n",
    "import plotly.io as pio\n",
    "\n",
    "# This ensures Plotly output works in multiple places:\n",
    "# plotly_mimetype: VS Code notebook UI\n",
    "# notebook: \"Jupyter: Export to HTML\" command in VS Code\n",
    "# See https://plotly.com/python/renderers/#multiple-renderers\n",
    "pio.renderers.default = \"plotly_mimetype+notebook\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c697d6ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# define utility function\n",
    "def plot_field_lines(field, eq):\n",
    "    # for starting locations we'll pick positions on flux surfaces on the outboard midplane\n",
    "    grid_trace = LinearGrid(rho=np.linspace(0, 1, 9))\n",
    "    r0 = eq.compute(\"R\", grid=grid_trace)[\"R\"]\n",
    "    z0 = eq.compute(\"Z\", grid=grid_trace)[\"Z\"]\n",
    "    fig, ax = plot_surfaces(eq)\n",
    "    fig, ax = poincare_plot(\n",
    "        field,\n",
    "        r0,\n",
    "        z0,\n",
    "        NFP=eq.NFP,\n",
    "        ax=ax,\n",
    "        color=\"k\",\n",
    "        size=1,\n",
    "    )\n",
    "    return fig, ax\n",
    "\n",
    "\n",
    "# plotting utility functions\n",
    "def plot_regcoil_outputs(\n",
    "    field,\n",
    "    data,\n",
    "    eq,\n",
    "    eval_grid=None,\n",
    "    source_grid=None,\n",
    "    return_data=False,\n",
    "    vacuum=False,\n",
    "    **kwargs,\n",
    "):\n",
    "    try:\n",
    "        # if it is a list, just grab the first one\n",
    "        # as we change the attribute anyways so just need the correct\n",
    "        # geometry\n",
    "        field = field[0]\n",
    "    except TypeError:\n",
    "        # it was not a list, so proceed as usual\n",
    "        pass\n",
    "    cmap = kwargs.pop(\"cmap\", \"viridis\")\n",
    "    field = (\n",
    "        field.copy()\n",
    "    )  # copy the field so that we are not changing the passed-in field\n",
    "    # TODO: check that field has correct NFP and resolutions?\n",
    "    scan = len(data[\"Phi_mn\"]) > 1\n",
    "    scan_str = \"_scan\" if scan else \"\"\n",
    "\n",
    "    lambdas = data[\"lambda_regularization\"]\n",
    "    chi2Bs = data[\"chi^2_B\"]\n",
    "    chi2Ks = data[\"chi^2_K\"]\n",
    "    phi_mns = data[\"Phi_mn\"]\n",
    "    if eval_grid is None:\n",
    "        eval_grid = data[\"eval_grid\"]\n",
    "        eval_grid = (\n",
    "            eval_grid\n",
    "            if (not eval_grid.sym and eval_grid.N != 0)\n",
    "            else LinearGrid(\n",
    "                M=eval_grid.M,\n",
    "                N=max(eval_grid.N, 1),\n",
    "                sym=False,\n",
    "                NFP=eval_grid.NFP,\n",
    "                endpoint=True,\n",
    "            )\n",
    "        )\n",
    "    if source_grid is None:\n",
    "        source_grid = data[\"source_grid\"]\n",
    "\n",
    "    # check if we can use existing quantities in data\n",
    "    # or re-evaluate based off of the new grids passed-in\n",
    "    recalc_eval_grid_quantites = not eval_grid.equiv(\n",
    "        data[\"eval_grid\"]\n",
    "    ) or not source_grid.equiv(data[\"source_grid\"])\n",
    "\n",
    "    if \"external_field\" in data.keys() and recalc_eval_grid_quantites:\n",
    "        external_field = data[\"external_field\"]\n",
    "    else:\n",
    "        external_field = None\n",
    "\n",
    "    ncontours = kwargs.pop(\"ncontours\", 15)\n",
    "    markersize = kwargs.pop(\"markersize\", None)\n",
    "    xlabel_fontsize = kwargs.pop(\"xlabel_fontsize\", None)\n",
    "    ylabel_fontsize = kwargs.pop(\"ylabel_fontsize\", None)\n",
    "    title_fontsize = kwargs.pop(\"title_fontsize\", None)\n",
    "\n",
    "    figdata = {}\n",
    "    axdata = {}\n",
    "    # show composite scan over lambda_regularization plots\n",
    "    # strongly based off of Landreman's REGCOIL plotting routine:\n",
    "    # github.com/landreman/regcoil/blob/master/\n",
    "    figsize = kwargs.pop(\"figsize\", (6, 4))\n",
    "    figsize2 = (2 * figsize[0], 2 * figsize[1])\n",
    "    if scan:  # this plot only makes sense for a scan\n",
    "        fig_chiB_lam, ax_chiB_lam = plt.subplots(figsize=figsize)\n",
    "        ax_chiB_lam.tick_params(axis=\"both\", which=\"major\", labelsize=ylabel_fontsize)\n",
    "        ax_chiB_lam.tick_params(axis=\"both\", which=\"minor\", labelsize=ylabel_fontsize)\n",
    "        ax_chiB_lam.scatter(lambdas, chi2Bs, s=markersize)\n",
    "        ax_chiB_lam.set_xlabel(\n",
    "            r\"$\\lambda$ (regularization parameter)\", fontsize=xlabel_fontsize\n",
    "        )\n",
    "        ax_chiB_lam.set_ylabel(\n",
    "            r\"$\\chi^2_B = \\int \\int B_{normal}^2 dA$ \", fontsize=ylabel_fontsize\n",
    "        )\n",
    "        ax_chiB_lam.set_yscale(\"log\")\n",
    "        ax_chiB_lam.set_xscale(\"log\")\n",
    "        figdata[\"fig_chi^2_B_vs_lambda_regularization\"] = fig_chiB_lam\n",
    "        axdata[\"ax_chi^2_B_vs_lambda_regularization\"] = ax_chiB_lam\n",
    "        fig_chiK_lam, ax_chiK_lam = plt.subplots(figsize=figsize)\n",
    "        ax_chiK_lam.tick_params(axis=\"both\", which=\"major\", labelsize=ylabel_fontsize)\n",
    "        ax_chiK_lam.tick_params(axis=\"both\", which=\"minor\", labelsize=ylabel_fontsize)\n",
    "        ax_chiK_lam.scatter(lambdas, chi2Ks, s=markersize)\n",
    "        ax_chiK_lam.set_ylabel(\n",
    "            r\"$\\chi^2_K = \\int \\int K^2 dA'$ \", fontsize=ylabel_fontsize\n",
    "        )\n",
    "        ax_chiK_lam.set_xlabel(\n",
    "            r\"$\\lambda$ (regularization parameter)\", fontsize=xlabel_fontsize\n",
    "        )\n",
    "        ax_chiK_lam.set_yscale(\"log\")\n",
    "        ax_chiK_lam.set_xscale(\"log\")\n",
    "        figdata[\"fig_chi^2_K_vs_lambda_regularization\"] = fig_chiK_lam\n",
    "        axdata[\"ax_chi^2_K_vs_lambda_regularization\"] = ax_chiK_lam\n",
    "\n",
    "        fig_chiB_chiK, ax_chiB_chiK = plt.subplots(figsize=figsize)\n",
    "        ax_chiB_chiK.tick_params(axis=\"both\", which=\"major\", labelsize=ylabel_fontsize)\n",
    "        ax_chiB_chiK.tick_params(axis=\"both\", which=\"minor\", labelsize=ylabel_fontsize)\n",
    "        ax_chiB_chiK.scatter(chi2Ks, chi2Bs, s=markersize)\n",
    "        ax_chiB_chiK.set_xlabel(\n",
    "            r\"$\\chi^2_K = \\int \\int K^2 dA'$ \", fontsize=xlabel_fontsize\n",
    "        )\n",
    "        ax_chiB_chiK.set_ylabel(\n",
    "            r\"$\\chi^2_B = \\int \\int B_{normal}^2 dA$ \", fontsize=ylabel_fontsize\n",
    "        )\n",
    "        ax_chiB_chiK.set_yscale(\"log\")\n",
    "        ax_chiB_chiK.set_xscale(\"log\")\n",
    "        figdata[\"fig_chi^2_B_vs_chi^2_K\"] = fig_chiB_chiK\n",
    "        axdata[\"ax_chi^2_B_vs_chi^2_K\"] = ax_chiB_chiK\n",
    "\n",
    "    nlam = len(chi2Bs)\n",
    "    max_nlam_for_contour_plots = 16\n",
    "    numPlots = min(nlam, max_nlam_for_contour_plots)\n",
    "    ilam_to_plot = np.sort(list(set(map(int, np.linspace(1, nlam, numPlots)))))\n",
    "    numPlots = len(ilam_to_plot)\n",
    "\n",
    "    numCols = int(np.ceil(np.sqrt(numPlots)))\n",
    "    numRows = int(np.ceil(numPlots * 1.0 / numCols))\n",
    "\n",
    "    ########################################################\n",
    "    # Plot total current potentials\n",
    "    ########################################################\n",
    "    fig_Phi, ax_Phi = plt.subplots(nrows=numRows, ncols=numCols, figsize=figsize2)\n",
    "    whichPlot = 0\n",
    "    for row in range(numRows):\n",
    "        for col in range(numCols):\n",
    "            ax = ax_Phi if not scan else ax_Phi[row, col]\n",
    "            phi_mn_opt = phi_mns[ilam_to_plot[whichPlot] - 1]\n",
    "            field.Phi_mn = phi_mn_opt\n",
    "            field.I = data[\"I\"]\n",
    "            field.G = data[\"G\"]\n",
    "            _, ax = plot_2d(\n",
    "                field,\n",
    "                \"Phi\",\n",
    "                grid=source_grid,\n",
    "                ax=ax,\n",
    "                cmap=cmap,\n",
    "                filled=False,\n",
    "                levels=ncontours,\n",
    "                title_fontsize=title_fontsize,\n",
    "                xlabel_fontsize=xlabel_fontsize,\n",
    "                ylabel_fontsize=ylabel_fontsize,\n",
    "            )\n",
    "\n",
    "            ax.set_title(\n",
    "                r\"$\\lambda =$\"\n",
    "                + f\" {lambdas[ilam_to_plot[whichPlot] - 1]:1.5e}\"\n",
    "                + f\" index = {ilam_to_plot[whichPlot]-1}\",\n",
    "                # fontsize=\"small\",\n",
    "            )\n",
    "            whichPlot += 1\n",
    "    fig_Phi.tight_layout()\n",
    "    fig_Phi.subplots_adjust(top=0.92)\n",
    "\n",
    "    fig_Phi.suptitle(\n",
    "        r\"Total Current Potential $\\Phi$ (A)\",\n",
    "        fontsize=title_fontsize,\n",
    "    )\n",
    "    figdata[\"fig\" + scan_str + \"_Phi\"] = fig_Phi\n",
    "    axdata[\"ax\" + scan_str + \"_Phi\"] = ax_Phi\n",
    "\n",
    "    ########################################################\n",
    "    # Plot Bn\n",
    "    ########################################################\n",
    "    fig_Bn, ax_Bn = plt.subplots(nrows=numRows, ncols=numCols, figsize=figsize2)\n",
    "    whichPlot = 0\n",
    "    for row in range(numRows):\n",
    "        for col in range(numCols):\n",
    "            ax = ax_Bn if not scan else ax_Bn[row, col]\n",
    "            phi_mn_opt = phi_mns[ilam_to_plot[whichPlot] - 1]\n",
    "            field.Phi_mn = phi_mn_opt\n",
    "            field.I = data[\"I\"]\n",
    "            field.G = data[\"G\"]\n",
    "            _, ax = plot_2d(\n",
    "                eq if not vacuum else eq.surface,\n",
    "                \"B*n\",\n",
    "                field=(field if external_field is None else field + external_field),\n",
    "                grid=eval_grid,\n",
    "                field_grid=source_grid,\n",
    "                ax=ax,\n",
    "                cmap=cmap,\n",
    "                levels=ncontours,\n",
    "                title_fontsize=title_fontsize,\n",
    "                xlabel_fontsize=xlabel_fontsize,\n",
    "                ylabel_fontsize=ylabel_fontsize,\n",
    "            )\n",
    "\n",
    "            ax.set_title(\n",
    "                r\"$\\lambda =$\"\n",
    "                + f\" {lambdas[ilam_to_plot[whichPlot] - 1]:1.5e}\"\n",
    "                + f\" index = {ilam_to_plot[whichPlot] - 1}\",\n",
    "                # fontsize=\"small\",\n",
    "            )\n",
    "            whichPlot += 1\n",
    "    fig_Bn.tight_layout()\n",
    "    fig_Bn.subplots_adjust(top=0.92)\n",
    "    fig_Bn.suptitle(\n",
    "        r\"$B_n$ (T)\",\n",
    "        fontsize=title_fontsize,\n",
    "    )\n",
    "    figdata[\"fig\" + scan_str + \"_Bn\"] = fig_Bn\n",
    "    axdata[\"ax\" + scan_str + \"_Bn\"] = ax_Bn\n",
    "    ########################################################\n",
    "    # Plot Surface Current |K|\n",
    "    ########################################################\n",
    "    fig_K, ax_K = plt.subplots(nrows=numRows, ncols=numCols, figsize=figsize2)\n",
    "    whichPlot = 0\n",
    "    for row in range(numRows):\n",
    "        for col in range(numCols):\n",
    "            ax = ax_K if not scan else ax_K[row, col]\n",
    "            phi_mn_opt = phi_mns[ilam_to_plot[whichPlot] - 1]\n",
    "            field.Phi_mn = phi_mn_opt\n",
    "            field.I = data[\"I\"]\n",
    "            field.G = data[\"G\"]\n",
    "            _, ax = plot_2d(\n",
    "                field,\n",
    "                \"K\",\n",
    "                grid=source_grid,\n",
    "                ax=ax,\n",
    "                cmap=cmap,\n",
    "                levels=ncontours,\n",
    "                title_fontsize=title_fontsize,\n",
    "                xlabel_fontsize=xlabel_fontsize,\n",
    "                ylabel_fontsize=ylabel_fontsize,\n",
    "            )\n",
    "\n",
    "            ax.set_title(\n",
    "                r\"$\\lambda =$\"\n",
    "                + f\" {lambdas[ilam_to_plot[whichPlot] - 1]:1.5e}\"\n",
    "                + f\" index = {ilam_to_plot[whichPlot] - 1}\",\n",
    "                # fontsize=\"small\",\n",
    "            )\n",
    "            whichPlot += 1\n",
    "    fig_K.tight_layout()\n",
    "    fig_K.subplots_adjust(top=0.92)\n",
    "    fig_K.suptitle(\n",
    "        r\"$|K|$ (A/m)\",\n",
    "        fontsize=title_fontsize,\n",
    "    )\n",
    "    figdata[\"fig\" + scan_str + \"_K\"] = fig_K\n",
    "    axdata[\"ax\" + scan_str + \"_K\"] = ax_K\n",
    "    if return_data:\n",
    "        return (\n",
    "            figdata,\n",
    "            axdata,\n",
    "            data,\n",
    "        )\n",
    "    else:\n",
    "        return figdata, axdata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "919cac02-c316-4443-87b4-8466a451c58a",
   "metadata": {},
   "source": [
    "## Create Constant Offset Surface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "278f584f-82d9-4291-9a26-da4035601738",
   "metadata": {},
   "source": [
    "We will use the algorithm outlined in the appendix of [1] to create a surface offset from the precise QA equilibrium surface by a constant distance of 0.25 meters. In DESC this is implemented as the `constant_offset_surface` method of `FourierRZToroidalSurface`, which will create a constant offset surface from the surface object it is called with by fitting a surface to points offset along the unit surface normal evaluated at a given grid on the base surface. We can thus use `eq.surface.constant_offset_surface(offset)` to obtain the desired surface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed5c2871",
   "metadata": {},
   "outputs": [],
   "source": [
    "eq = get(\"precise_QA\")\n",
    "\n",
    "# create the constant offset surface\n",
    "surf = eq.surface.constant_offset_surface(\n",
    "    offset=0.25,  # desired offset\n",
    "    M=16,  # Poloidal resolution of desired offset surface\n",
    "    N=16,  # Toroidal resolution of desired offset surface\n",
    "    grid=LinearGrid(M=32, N=32, NFP=eq.NFP),\n",
    ")  # grid of points on base surface to evaluate unit normal and find points on offset surface,\n",
    "# generally should be twice the desired resolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "40727923",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZGa+mL0JqEvz2linEBhSHUo2g7SdQuKqdbCIiIiIS2FR8ScBJToRv74GtP0JcebjxQ6h1v72C60KiY6H56+Zt6yyY0Rs+rg7xVeCmEVCyge2EIiIiIhJIVHxJwEhNgu/uh43fQN4S0HmqWdLnBuVbwiPrIWEtfP8gDG8IpZtApwmQp7DtdCIiIiISCAJsLkFCUXoqTOkKb8fBjvnQ4Ut4fKd7Cq9/KlINHlgI9/9qOikOLAZTe5p9ayIiIiIS2lR8iVWLBsEbsbDxW7O88KkEqHa77VTZV6oh9NkObT6GVV/AgCKwa6HtVCIiIiJiU0AsO0xJSeGVV16hdOnSFClShE6dOgGwd+9evv76a3Lnzk3RokVp166d5aTiK+lpMLol7FoATV6Aa14JvD1dvlC3O1S/C8bdBCMamXPCbh4VnF+rW2i8EREnacwRkX8KiJeAkydPpn79+vTq1YuxY8eeffztt98mJiaGpKQk6tat+6/PGzp0KPXq1Tv7duDAASdjSxbtXQbvFobENfDgcmj2anAXI1G54J5ZcPs3sGEyDCplOjmKHRpvRMRJGnNE5J8C4iXvrl27KFSoEAAnT548+/jGjRupUaMGd911Fy+88MK/Pq979+4sW7bs7Ntf15DANecVGNbAtI1/cj8Uq2U7kXMq32S+5lzx8MHlsGK47UShSeONiDhJY46I/FNAFF+lSpU6e0cnJibm7ONFihQhNjaW/Pnzc+TIEVvxxAfSks2hxPNfgxsGwz2zITLKdirnRcdCj1Vw1eOmK+KXbcGTbjtVaNF4IyJO0pgjIv8U5vV6vbZD/O966OnTpzNs2DDWrFnDmDFjyJ8/P02aNKFp06YXvU69evVYtmyZQ6klo47thI+qQY5c0HU+FKxgO1Fg2LkAxtxg/l0eWAwFytpOFBo03oiIkzTmiMg/BUTx5SsamAJP0m74sArkK2NmfIJ5b1dWpKXAiKvhwHq4bTJUams7kWSUxhsRcZLGHJHgoJfC4jfJ++HDKyC2FPT4XYXX+UTlgh4rocZdMK49/Pwf24lERERExF8CotW8BJ/kRBhSGfIWg56rIVzfaRd10wgodTVMfQj2LIYuM1SsioiIiAQbvbwTn0s5CB9WMl39Hl6nwiuj6jxg9n7t+s10Q0xLtp1IRERERHxJxZf4VOpRGFIJovPDw+tVeGVW8XrQZzukn4RBl5k9cyIiIiISHFR8iU+NbAoROeGRDaHZSt4XcsVD722Qu4gpZA9vtZ1IRERERHxBxZf4zNx+pmvf/b9CZLTtNO4WGQ0910L8FfBxNUhcZzuRiIiIiGSXii/xicR1MO9VuP5dnVflK+HhZg9Y8frmgGrNgImIiIi4m4ovyTaPB0a3gGL14Ko+ttMEl/BwuHcuFK4Kn9SEpL22E4mIiIhIVqn4kmz79j5IPQZ3z7KdJDiFh8MDS8x5aZ9UNwczi4iIiIj7qPiSbNk6C9aMgVvHQXSs7TTBKzzcHFQdFgFD65jZRhERERFxFxVfki3f3gMVboRK7W0nCX6R0fDQSji2A77uaDuNiIiIiGSWii/JsvWT4EQi3DzKdpLQEVscusyETVNg+VDbaUREREQkM1R8SZb9+ASUbwW54mwnCS1lmkKT52Daw3Bwk+00IiIiIpJRKr4kS7bMhGO7oN0w20lCU/PXoWhtGNkYPOm204iIiIhIRqj4kiyZ/ihcdo1ZBid23PcLnEmDMa1tJxERERGRjFDxJZm281c4vAXaa9bLqqhccPds2PYTrBpjO42IiIiIXIqKL8m0n56HojUhrrztJFKiPtTvCd8/AKlHbacRERERkYtR8SWZtncp1LzPdgr5yw0fQK54GNXSdhIRERERuRgVX5Ip+1ZCeirUedB2EvlLeDjcPQv2r4AlQ2ynEREREZELibQdQNxl8SCILWn2G0ngKFQFGj8LMx+HaneYmTARca+0FPjje9j8AxzdBmnJ5u10irkBduYUnDkN3jMQkROi8kBMAchdBPIWh/xlIK4ClG0O+S+z/dWIiMhfVHxJpmz9ESq2t51Czqf567B6rOl+2H2p7TQiklHpqbB5OmyeBnuWwJE/4fQJU1TFloC8JSG2FETnh5g4yFUQchWC3IUhZ6wpzg5vhaPb4fge2LfCNOL5q1iLjIFCV0CFtlD3AXMDTURE7FDxJRmWmgTJ++Cq3raTyIV0mQ4fVTXdD2veZTuNiFyIJx2WDzVLhQ9uhPBIM2NVpKZZ1l2lo2+O8khLhlWjYP0kWDIY5vWDHLmhcDWocRfUe9gsXRYREWeo+JIM+/NHiIgyS9wkMBWqAnW6w9QHoUoHLQ8VCTSbpsKCN2DPYlNwXXYNtPsMSjfyz/NF5YH6D5s3MF1RV34OG76BmU/Cj0/BFZ3ghoFariwi4gQVX5Jhe5dDzvy2U8iltPkINkyErzvAXTNspxERTzrM6A2/jzR7tYrWhg5jTdHj9KxTdH64qo9586TDr++YvbzvFIZideGG96B0Y2cziYiEEi02kAw7uAHyFLGdQi4lPBzu+Nbsz9s+13YakdDl8cCcl+CNvLDyC2jyPDx/Erovg2q321/uFx4JTZ6Dvglwz2zACyObwoDisGWm3WwiIsFKM1+SYUe3QYFytlNIRpRuDOVawsQ7oO9+22lEQs+iwTDnP3AmDRo+Ac1es19sXUzZ5qYoTE6E77rB2NZmSeQdUyA61nY6EZHgEcC/CiTQHN8P8drv5RqdJsDJw+bOu4g4Y98KeKcIzOoL1bvAs0lwXf/ALrz+KU9h6Pw9dFsIhzbBO4Vg0SDbqUREgodLfh1IIDidDHGX204hGRUdC9e8bDb3px61nUYk+M1+Dj6rb9q6P3ME2n4MkVG2U2VNyQbw5F4za/djX3j/cji02XYqERH3C/ji68iRIxQuXNh2DAEIA7y2Q0hmNH3BnAU0voPtJO6g8UayIjkRPqwCC9+FGz+C++aYLoPBoMUb0Gen+Xo+usJ0axTf0ZgjEnoCYs9XSkoKr7zyCqVLl6ZIkSJ06tTp7Pu++OILypcvbzGd/CUs3OxfCAqpqfD667BrF1xzDdx7r3vWBWVSp4kwohHsXmzuZoc6jTfiSxunwITbzGHIvbcF5wHGscWhx0r4vjuMaw8t3oJGT9lO5R4ac0TknwLi1ebkyZOpX78+vXr1YuzYsWcf37dvH3nz5iV37twW08lfwsLhzGnbKXwgLQ2KF4f33oP586FHD4iOhocfhvR02+l8rlRDKNEAvr3HdpLAoPFGfGXFMBh/C9S8G3r/GZyF1z+1Gwqt3oPZz8CUrrbTuIfGHBH5p4Aovnbt2kWhQoUAOHny5NnHR48ezd13333Bzxs6dCj16tU7+3bgwAG/Zw1lYeHmjBrXe+UVU4AdPQpbt8LJk/DOOzBqFBQsCAsW2E7oc7eOM/s1tGRI4434xoI3zUzQNS9D+2G20zjnqt7QeRqsHgvDG5l2+nJxGnNE5J8CovgqVarU2UElJibm7OMJCQmMGDGCPXv2MHz48H99Xvfu3Vm2bNnZt78GN/GPqDxwdLvtFD4waxZcfTVE/nfVbXg49O5tirHGjaFpU/jPf6xG9LX8l8HlN8C0h2wnsU/jjWTXj0/BT8/DjUPg2pdtp3FehdbQcw3s/920pJeL05gjIv8UEMVXhw4dWLp0KUOGDKFLly7cf//9eDweBgwYQM2aNQkLCyMuLs52zJAXWwoObLCdwgeOHTPLDv9XZCRMmwaffQb9+0O7ds5n86NbxkDyfljx79/xIUXjjWTHgjdh0UDo+BXUf9h2GnviK8H9C2DbTzAthP8dMkJjjoj8U5jX6w2a/nX16tVj2bJltmMErSn3w/ZfoPdW20myqWpVqFEDvvrqwh+zcCE0awZ165p9YUHSjGPyPbD5e9MGW7JH403o2fQdjLsZWr8PV/aynSYwbJxi9r1d/65pSy/+ozFHJDgExytKcUSxOnAiwXYKHyhQAPbtu/jHNGwIv/9u3q68Mmg2NrQfCmnJsPRj20lE3CVhLXzdEep0V+H1T5VvMoXXj321p1REJCNUfEmGVb4ZTp+A1CTbSbKpWjXYvv3SH1elCqxbZ96uv97vsZwQGQ2Vb4F5/2c7iYh7eNLh86ZQ/Epo94ntNIGn4RNQvTNMvA3SUmynEREJbCq+JMNiS0JkDKy9yGo9V2jQABITM/axZcvC4sXwyy/QubN/czmkzUdm79eWmbaTiLjD+I6mALv3J9tJAtfNo0xTpi9vtJ1ERCSwqfiSTClYETZ+aztFNrVubdrLHz6csY+vUQNmzoTx4+HNN/2bzQG54qF0E5jZx3YSkcC34Rv443u48zszcyznFx4OXX6AHfNgzdhLf7yISKhS8SWZUuFG2LPYdopsKloU8uSBkSMz/jnNm8PAgfD886ZVvcu1/QQObjL7WETk/Dzp8M3dUP0uKHOt7TSBr3g9qPsQTOkG6am204iIBCYVX5IpDR6D1COQtNd2kmyqXh2+/TZzn9O7N9x5p2lBn9FliwGqUBWIrwLTetpOIhK4vr0PwsLg5hG2k7jHjR9Cjhj4rrvtJCIigUnFl2RKnqIQEwdLPrCdJJvat4dVqzL/eWPHQokS5jBml7v+Hdj9mzbIi5xPwlpY8yW0GwbhkbbTuEd4OFw/ENaOhZSDttOIiAQe/UqRTCvdxOz7avGG7STZ8MAD8NxzZgarcOHMfe6vv0Lp0vDww/DRR/7J54AKN5oN8r/0g5Zv2U4jEli+vBGK14dqt9tO4j61u8Kc/8Dku+CuGbbTiASH5ERIXAPHdpoVSCePmKNjInKY/agROSFnrNmbX7g6xBa3nVguRMWXZFrdh+CrtuboK9eePRwfD7GxMHy4KcIyo2hRGD3aLEHs0gUaNfJPRgdUvR1WjlTxJfJPP79gOoI+tNJ2Evdq9xl82ca8YMyTyftbIqEqNQk2fw9/zjaz78d3myLrzCnz/vBIiIgyb+FRpvDyesBzBrxnwHMaTp80fwKE54BcBaFgJSjRACq0htJNXfzaLUio+JJMK98KwsJh42S44lbbabKhZk347rvMF18At99uCrf27eHAAdeOZNf1hxXDYPdiKNnAdhoR+47thAVvQcu3IVec7TTuVaG1WaY+/RHoNMF2GpHAk54GGyaZt32/w/G9cCbVzGDlLW5msMpcCyXqm8IptlTGX2p4PJC8F/atgG1zYM8SWPk5LBxgirV8paH8DebA+CLV/PlVyvmo+JJMCw83zRpWDHN58XXzzfDSS1n//O++g4IF4b77YNQoX6VyVK548//yp+d1hpEIwNgbIe5yc3CwZM81L8P0XuZFZmSU7TQidnnSzT7SVaNh/+9w8pCZwcpfDko3hnItoVJbiM6f/ecKDzdns8aWhErtz33froWw9GMzw7biU3N+a+nG5mZs8XrZf265NBVfkiVX3GruoLja/ffDk0/C3r1QPAuLo6OjYcwY6NgR+vSBOnV8HtEJjZ+DKfeZXwxqLCChbMkQOLgBHt1iO0lwqPcQzOoLc192+R5hkSxK3g/z+8MfU+HodrNMsFBVqNsdat4L8ZWcz1SqoXkD03BrxWew7BP47ErIVQhq3WdunETlcj5bqHDnWimxrn4vOJUER7bZTpIN+fObt88+y/o1brkFGjSADh18lcpx1TubXwhLhthOImJP6lGY+SQ0fBIKlLWdJnhUvQN+H247hYhzUpNg9nPwXmkYUAzWfgUlr4Ku8+DFU/DQCjPLZKPw+l9RueCq3tBrAzy5Hyq1g+WfwJt5YXSrIDhWKECp+JIsyRVn7pAsft92kmyqXRumTs3eNaZMgd274QN39t8PDzcbcJdnowYVcbsv25mN6S3ftp0kuLR4w7Sc373YdhIR//F4YNmn8EFFeCu/KWBKN4FHNsJTB6Djl2ZpXyDLUxjaD4Nnj8Ftk+HQRnivJIxpbWbwxHdUfEmWlW0Of3xvO0U2degA69dn7xqFC8Njj8FTT0Fqqm9yOazJc2a5Vbo744tky/qJsOtX6JzN+zDyb7nizTKr2c/aTiLie0e2wfiO0D8XTH/UNMl4cAk8cwQ6jg2M2a2sqHwT9NkBt38DB9bBwBLmBpXOBfUNFV+SZfUehiN/mr1CrnXPPZCSAjt3Zu86775r9oD16OGbXA4rcy3kiIFFg2wnEXFWehp8ex9UvwuKuXPbZsC75j+wc775txZxO4/HNKwYXB7eLwf7lkOLN+GFVHMDJ5iaVlS+CR7fCZ0mwp5F8HZB+H2k7VTup+JLsqxMU7NXaNVo20myITYW4uKyt+8LzNq9d981DTgOH/ZNNoeVaWbO/BIJJVPuM41mbh5hO0nwqnqbOQR2gZpuiIsd3grjO5hZrhl9oHA1s6ywz3a4qo9rT5zJkCq3wJMJUOcB+P4B+LS2liJmRxB/q4gTiteHpR/aTpFNdevCDz9k/zoPPGCWIN5zT/avZUGTF+DQZkhLtp1ExBlJu2HdeGjzsTp9+lvlDrD8U9spRDLH44GlH5lZrg8uN+dmtXgLXjgJd05x77LCrAgPhxs/gIfXm4ZrA0vCb27vem2Jii/JlkbPmvMqXL2c5NZbYcMG31zrk09MIZfdZYwWlGoIUblh4UDbSUSc8XUnKFAOqt9pO0nwa/GmuVO+b6XtJCKXdngrjLsF+sfAjMf/Z5ard3DPcl1KfCV4bCtc+wrMfhq+bGuKVMm4EP72EV+o1NYsJ1nk5hfsd90FJ0/C1q3Zv1b79lC6NDz0UPavZUHpprB2vO0UIv6XsBr2LIaOX9lOEhpii0PBSubFmkgg8njMkSuDy5lZrv2/Q8t3Q3OWKyOavghdF8D2OTC4DCQn2k7kHiq+JNvKtzIH9LlWrlwQHw9Dh/rmegMGwI8/unLv15WPwKFNuoslwW9qT9OFL5g2xwe6xs+aF2qubtIkQefQ5r9nuX58EorUgF5/mFmuBo+G9izXpZRqCH12QUQUDLoMtv1sO5E76FtKsq3Ve3BsJ+xaaDtJNtStC7Nm+eZaHTuaYu7hh31zPQeVvwHCwmD9BNtJRPwnaS/sXgitB9tOElpq3G321mlps9jm8cDiD2BwWRhSERJWmlmu50/CHd9CwQq2E7pHrjhTrFZqC6NbwoZvbCcKfCq+JNvyX2ZaNP/wiO0k2XDTTbBpk++u93//B5Mmue7cr/BwKFwdlvtoElAkEP3wCOQtbs4qFOeEh8PlN6rxhthzeCuMu9nMcs3qC0VqmcKh9zbNcmVHeDh0mmCOIJpwqzk7US5M32biE20+hv0rzcDmSl26mPO+9u71zfW6dzfnfvXr55vrOah6F7MXRiQYpSWbw+Gb/Z/tJKHp2pfNwbQpB20nkVCydjwMqQQfVICEVXD9gP/Ocn2jWS5fuvEDaNAbJt4Oa7Sf9oJUfIlPlKgPceVhqjv7TJjzvvLlg5E+POjqrrt8t4/MQfUegtMppiGBSLD5vjtE54faXW0nCU1FakBMAVjwlu0kEuzSkmH6Y/BGLEzuAvkug55rzCzXlb00y+UvrQZCwyfNv7kKsPPTt574zPUDzGbL1KO2k2RRtWowfbrvrvfWW3DkCMyc6btrOiAqD8SWgEWDbCcR8a3Uo7Dua2j5ju0koa1sc9j0re0UEqz2rYTPm8Gb+WD1aKjXA55Phrt/hMJVbacLDS3fhoaPwzd363iJ81HxJT5Tqb25ozn7OdtJsqh1a1i71nfXi42FBg3gOff9g5RuCtt/sZ1CxLe+vhVyF9asl231HzVL1NX1UHzF44GlH5uOe0PrwIlE6DQRnjliCoHIaNsJQ8/1A+Cya2BkYxfflPcTFV/iU3UfgjVjbKfIonvvhWPHICnJd9d85x1YuRKSk313TQfUvAeO7VDLeQkef/5kZuY7qZOndWWamq6HG7+1nUTcLvUoTOkKb+SBGb2hWF2zrPCRdVDlFtvp5O5ZEBMHn9bR64l/UvElPnXNS3D6pEsP6i1ZEmJiYOxY312zcWMzA9a/v++u6YByLQEvbPvJdhKR7PN4YOJtUOFGKN3IdhoB0yV3w2TbKcSt9q2EkU3hrTj4Yxo0eR5eSIHbJ5vvLQkM4eHw0Ao4kQDjbrKdJnBE2g4AkJKSwiuvvELp0qUpUqQInTp1AuDtt9+mQIECrFu3jh49elC5cmXLSeVSIqNN2/mlH0K1222nyYLy5c0ByT17+u6a7dvDqFGuKsDCw83m5FVfQPmWttP4lsab0DOzj2kic+vXtpP4SGoqLFkCNWpA/vy202RJyath5wLbKZyhMcd31oyFOS+ZjpmFroDOU81NFQlcueLh7tkwopE5A0wzkgEy8zV58mTq169Pr169GPuPWYcuXbrw4IMP0qxZM2bPnm0xoWRGzXtg7zLbKbKofn2zTNCX+vWDPXtgxw7fXtfPylwDO+fbTuF7Gm9CS/J+czOo1SCIymU7jQ88/DDkzg3Nm0OBAnDnnbYTZUm56yB5n+0UztCYkz3paTDrGXgzP3xzL8RVhEc3w8NrVXi5RamGUP0u+OYuSHfX8ad+ERDF165duyhUqBAAJ0+ePPt4iRIlAFi8eDGdO3f+1+cNHTqUevXqnX07cOCAM4Hlouo8YH649iy1nSQL2rQxhZIvlS0LxYvDyy/79rp+VrMrJO0OvnXaGm9Cy/iOkK+0OULB9Vq2hGHDYMQISE83s/QTJ5pzBV2m/PWQftK8sA52GnOyJuUwTOgEb+Q2N1Bq3gvPJsFd083RNuIuN39uVkd91d52EvsCovgqVarU2UElJibm7ONer5cPP/yQHj16cOLEiX99Xvfu3Vm2bNnZt78GN7ErMtqsuV70nu0kWdCmDZw+DTt3+va6HTv6to29A8o0BcJgq7s65V+SxpvQsX0u7F4YJE027rkH5s6FZctMcyAwxdhXX5mCbPNmq/EyK09RCIuAvUtsJ/E/jTmZk7QXxraBdwuZpak3fmhaxbceHCSz1yEqPBzunAp/zoZNU22nsSsgiq8OHTqwdOlShgwZQpcuXbj//vvxeDz07duX2bNn079/f0aMGGE7pmRCxXamu5jrREdD3rzmbrIvPfkkJCbC/v2+va6f5SkKf3xvO4VvabwJHZM6Q7kWULye7STZNHEijBkDP/xg9nn90623wuWXQ48edrJlQ46Y0DjMXWNOxhzZBl80h/dKQuIauHU8PLkP6rpvYlcuoFRDqNAGpj5oO4ldYV6v12s7hK/Uq1ePZcvcutkouBzdAYPLwFMHzGZLV6ld2ywTnDbNt9ctWBAeeMAcvuwSY1qbLkUPrbCdJPBovAlsv74NP79gxqDo/LbTZENSEhQuDHffDZ99dv6PmTgR7rgD0tLM7WWXGFgSrugEN7hxlYQFwTrmJO+HSV1g+xyIuxxafwCXt7KdSvwl9Si8HW9mNINiOXgWuGeUFlfJf5l5wbNwoO0kWdCggW8PW/5Ls2YwaZLvr+tHZZvDka22U4hkTlqK6YjWsK/LCy8wS5YLFIBPP73wx3ToABERMHKkc7l8IGc+OO7jLbbiHmnJMOE2GFjC/J65ZzY8+ocKr2AXnR9q3g2znw6+PeUZpeJL/KZcC5ee99WkiVki6GuPPw5//mk2yrvEFbfCqaTQ2BQvweObuyAqNzR/3XaSbPr1V/jpJ5gw4eIzWuHhZjnil186l80HcuQyL8AltHjSYfpj8FYBc/D5LaOgz3Zzs09CQ5uPTWO2Be45gcenVHyJ3zR+AY5ug9Qk20kyqVUrc45Oqo/7oTZqBJGRMNk9J4sWKAvhOWCLu3qFSAjbuww2fgu3jHbVCrzz69TJzJg3bnzpj23dGn7/3f+ZfCgqN6T9u8+EBLHlQ+HNfPD7cGjeH54+CNW72E4lTouMhhr3wKJBtpPY4fZfTRLAitWCnHnht3dsJ8mk+HhTJM2Z4/trly9vupO5SN5i8EeIdyYS9xh3M5RuHATn/3zwARw4kPGlynfeCUePumodT1QeOK3iKyQkrIb3y8O0nlD9bnj2GDR6ynYqsen6d+DkYdgSZB2VM0LFl/hVuZawxl0rYYyCBf1TfLVsCYsW+f66flS4Rmi0gxb3m9oTThyAO7+znSSbPB544QXo1g3y58/Y51SpAmFhsHy5X6P5UlReOJ1iO4X4U3oajLsFPqkFMQWhzy5o9wmER9pOJrZF54cSDeCnZ20ncZ6KL/GrJs+7dOlh2bL+eRHzwAOQkGC6krlEsbqQpE3xEuA2TYXln0LHsUHQZOPVV80Y8f77mfu82FizR8wlovJA+inbKcRfNnwDb8eZLoadp8KDSyC2uO1UEkhaDYT9q0wHxFCi4kv8qlgds/Rw4bu2k2RSzZr+ObS0Rg3IkcNVXQ9LNYRTx2ynELmw5ESYcCvUvMc0iXG19HRzHMXjj0NUVOY+Nz4eNm70Ty4/iIwC7xnbKcTX0pLh82bwdUeodJPZ1+X6ZcDiF6UaQnQ+F25PySYVX+J35VrCmrG2U2RSw4Zw8KB/rl26tO/PEPOj0k1MdyrXzV5KyBjZCPKWgPbBcE7tE0+YtvGvZ6FVY7FipqOqS4Sr+Ao6W2bCO4XhwHp4YLGZidYSQ7mYci1gzTjbKZyl4kv8ruGT5uR6j3s6rMNVV/m+2+FfatVy176MXKbj4Y55tpOI/Nt3D8CxndBtYRB0N0xJgU8+gZdeytoXU7QoHD7s+1x+EpEDPCq+gsb3PWBsa6jUHp7cByXq204kbtD4OZduT8kGt/+qEhco1dD8knVV440KFcDrhR07fH/tVq38c10/is4PexbaTiFyrg3fwO8j4NavIU9h22l8oEcPyJMHnn46a58fHw/J7jk4KyIHeN3TnFEuIHk/vH85rBwJt44zb66/ESKOKVbHHDux/BPbSZyjHw9xRKFqsGqU7RSZEB4OOXPC4sW+v3aHDnDypGkL7RKxJWD/atspRP6WvB8m3QG1u0Hlm2yn8YGjR80hyW+/nfVrFC4MJ9zTuz08SsWX2+1ZCoPLAl54fBdUvc12InGjwjVg0/e2UzhHxZc4osINkLDKdopMypcPVq70/XXj4iA6GqZM8f21/SSuAhzZYjuFiOHxwPCrId9l0P4z22l85N57oVAh0xE1q/LmNQ07XCJCe75cbc1YGN4QyjSHXpuDZPZZrKh8kwtfI2aDii9xRPEr4ZTb1vMWKeK/zmFFisCvv/rn2n4QXxlSDtlOIWJ8czcc3wvdfrOdxEd274bvv4chQ7J3nagoVx2yHKGZL9f6+T8w+W646nHoMk3LDCV7at8PacchxU99zgKNflzEESUbwJk0V70uMF0Jt2/3z7XLlYN16/xzbT8oUN60DxaxbeUXsPYruGMK5Iq3ncZH7r4bLrsMOnbM3nUiI101yKr4cqcp98OC/tB+OFwfYi3CxT9yxUNkDGx0z4KgbFHxJY7IUxQIg4MbbCfJhIoVYf9+/1y7WjVXNd0oWBHO6DBUsezgJviuG1z9FFzeynYaH9m0CX75BYYPz/61vN7sX8NBKr7c57sHYdUXcOdUqN3VdhoJJrElYdvPtlM4Q8WXOCYyGvYus50iE8qW9V/nsIYN4ZB71vEVqmpeJLnoproEmfQ0GHG16YzV8i3baXyoSxe44gpo3jz710pONoe4u0R4pOvqxZA2tSesHAF3fg8VWttOI8GmcHXYv9J2Cmfo6DtxTHR+l22ovPxy/5311ayZuXZ6ulkqFOCiY4EwcxZHXHnbaSQUjWxsbgB0Dabz5pYuhRUrzJsvuKz4isipmS+3+OFRWDEUbv8GKtxoO00I83jMuLFwoVk9c+yYadTTogVcd52rN9+Vuhq2zbadwhmB/6pPgkaeYnDoD9spMqFyZTh92j/XLloUwsJg9WqoU8c/z+Fj4TngwAYVX+K8iXeaO6IPrzMz6EHjnnvgyivNweu+cPy4q4qvyCjNfLnB/Ddg2UfQaaI5QFkctnYtvPsu/PgjJCSYH5rYWHMmYM6c5niJAQNM4XXHHTBihCtu6v6vkleFzt5y95bI4jr5L4NjO22nyITLLjN/Hj7sn+tHR8P69f65th/kiIHDbiqeJSjMeQnWfw13zYCCFWyn8aGZM81+r6++8t01ExJMu3mXiMgJaOYroK2fBD+/ADcMhiq32E4TQg4eNIeuFygA1avDzz/DTTfBvHlmxczRo6ZL6tatZm96WhoMGgTffAMlSvjvdYsfFa9vZsJT3Bc901R8iWMKVoITCbZTZEJ4uHnbvNk/18+TB/5wTzUTlQeO7bKdQkLJgjdh3mvQdiiU9cGWqIDy4INmqVDZsr67ZmKiOUfQJSI08xXQDm02B5nX7wlX9rKdJkRMmWL2gBYuDJMnw/33m6WFO3fCxx9Do0bnX1oYHg4PP2xuwOTM6ZoVNf8UGWX2ge5ZbDuJ/6n4EscUrQWpbjvrKzLSfx0PCxSAP//0z7X9IEcMnDpqO4WEivlvwE/Pw41DoE4322l87KuvYM8eGDPGt9c9dMjs/3CJyJyAiq+AlJ5mDlAuUhNu/NB2miDn8cCbb0J8PHToYLYlLF5sbqYMGGCWGGZUrlxmD+m+fdCvn/8y+0lkDBzeYjuF/2VoUWh6ejoTJkxg4cKFAJw4cYKIiAhy5cpFjRo16Ny5M9HRwbQQX/yhxJVwJtWMM67ZExoV5b/iq3Bhs2zAJSJj4NRxZ55LY05om/+GWep04xCo/7DtNH7Qu7d5kVW4sG+ve+iQ6aQqmaYx51xjW4MnHe5fYDtJEEtNhcceg9GjzRTwnXfCe+9B/vzZu258vFmyOHAgvPyyT6I6JWde09gr2F2y+Fq6dCnz58+nZcuW3Hnnnf96/9atWxk6dCg1a9bkmmuu8UtICQ75/ruF6tgOKODDlTZ+lTMnHDjgn2sXK2Y20rpEZIwzm2E15oS2oC+83n4bjhzxzble/+vIEXOGoEskJ5hlRrZpzDnX8qGwfQ48uCTIGtwEipQU6NXLFF25c8MLL8Dzz/v2rvQbb8AHH8DKlb5r6OOAnPng+F7bKfzvksNedHQ0TzzxxHnfd/z4ccqXL89jjz3Gn3/+SVpaGlFRUT4PKcEhPBwiomH3IhcVX9HR/juPq2BBMwi7RFRuSDvh/+fRmBO65r0Oc/5jljnV72k7jR+kpZk70X36ZG4pUUalpEDdur6/rp+cSDT7vmzTmPO35ET44RFzkHnxerbTBJmUFHjkEbPcOE8e08Gwd2//PFeuXOYG79Ch8NFH/nkOP8iRG1KP2U7hf5csvqpXr372v/ft28e8efM4deoUXq+X77//nokTJwJQrlw5/6WUoBEdCwmrofq/by4Gply5/Nc1qEABOHnSP9f2gxy54JSfVmD+k8ac0DTvNdPZMGgLL4Du3c1S5rf8cEr00aNmTXft2r6/tp8c32vGFds05vztyxshtmSQHWRu2z+Lrrx5zdLCXg50MKlY0cx8uUjOvJDm0PYGmzI1x/n222+TlJSE97/tibxqUySZlLsIHNxoO0Um5MgBp07559oFC/rv2n4QlRdOOzxRpzEnNPxVeLX5OIgLr717zTKj99/3z6bXefPMeOWiWZljOyC6gO0U5wrlMWflF7D/d+gyw3aSIJGeDo8/bvZwTZkCgwebm7lOFF4AFSqYxhsukiM3nHbPPeksy9Rq65YtW3LjjX8fbX7FFVf4PJAEt7wlIMk9PSbMCxl/FUjx8f47xNkPcuaF9FRnn1NjTvD7Z+FV7yHbafzo9tuhdGm4917/XH/uXHNDx0WS9kCeorZTnCtUxxxPulluWKsrxFeyncblPB4zu/1//wdhYfDaa/D0087niI931eoa+O8e0BA4+y9TxVdCQgJt2rShSJEieL1efv/9d1a6bEpT7MpdGI5stZ0iE/w581WokKuKr8gY8wvaSRpzgtvcfvBLvxAovBYvhl9/NW/+smIFuGxZXPJeKN3EdopzheqYM+2/kzFtP7Gbw/WGD4e+feHECXj0UXjnHXvtnaOiTCHoImHh5qDlYJfp4mvQoEFnN5uO8fUZJRL08hZ32Xpef858xca6amAMj3B+UNSYE7xmPQO/vQPthkKdB2yn8bPbboOrr/ZvG/gtW+Cmm/x3fT9IToASDWynOFcojjmpSfD7MLPfMhC6T7rS1KlmT2dCAnTpYhpd2D6a4MQJcwPZRUKh8IJMFl81a9akXLlyREREAHDllVf6JERKSgqvvPIKpUuXpkiRInTq1AmA9evXM27cOMLCwrjzzjupXLmyT55P7Ikt4UzHPJ/JkcN/s1M5cpizPVwiPNL5gdEfY47GG/um94alQ+DmUVDzLttp/GzAAHOg8tKl/n2exERo3ty/z+FDHg+cPgHlWthOcq5QHHO+7wYxBYN89tlf1q6FTp1g0yZo3drs64yLs53KSEw0rexdJP2k6Yod7DJVfL322ms899xzxMXF4fV62bBhA/t9cADt5MmTqV+/Pp06deLmm28+OzANHDiQN954A4AXXniBoUOHZvu5xK4wtxyu/Bev139LBjweV818Ja6DZIf37vpjzNF4Y9f33eH34XDreLjiVttp/Cw52Zzf89RTvj9Q+Z82bzY3idq1899z+FjCSiAMClawneRcoTbmpB6FDZPhllGOP7W7HT4Md9wBs2dDnTqwdSuUDbAzdLZvN+3mXeT0ScgRYzuF/2Wq+Hr++edp06bN2b/PmOGblji7du2i4X+XY5z8x+bA3bt3Ex8ff/Zj/tfQoUPPGawO+OswXPGZtBNm+ZpreDwQqXUYAHGXQ3R+Z5/TH2OOxht7Jt8Fa7+C26dApba20zjgttsgXz54/XX/Ps9XX5mOai7qdPjnT5DTD0edZVeojTkz+phZr+pdfH7p4JSebs7m+vRTKFIEZs2C666zner8du+GJgG2qfIS0o6bxmzB7qKvKk+dOkVycjIF/9tB6Z8DEsANN9xw9r937dpFqVKlshSiVKlSZweVmJi/S96SJUty8ODBsx/zv7p370737t3P/r1ePZ0IGOhOp7hsTbnH47+Zr5QUVxV2Xo9pN+9PTow5Gm+c5/HA501hz2LTxrp8S9uJHLB4McyYYe6M+3vD/c8/QyV3tajbuxTyBsBN+VAeczzp5mZIs9d8etng9dFHpmuh1wuDBjnXMj6r9u2Da66xnSJTUo9CMfecE59lF/2NkDNnThYuXMhXX311zt2afzp69ChDhw5lx44dWQ7RoUMHli5dypAhQ+jSpQv3338/Ho+HJ554gg8++IAhQ4Zc8PR5cZdTxyDCPTdn/Vt8JSfb64KUBWdO+b9wdmLM0XjjrNSj8H45SFgFPVaHSOEF0LGjuevsxD6stWuhWTP/P48PHVgP8VVspwjtMWfhQLMVoOGTjj+1uyxeDKVKwWOPwd13w7FjgV94JSebNvMuWooM/535CoCbMv4W5s3ACYL79+9nxIgRJCYmkpqaSnp6OhEREeTKlYuSJUvywAMPkC9fPifyXlS9evVYtmyZ7RhyEeM7wOEt0HO17SQZdOWV5uyc6dN9f+2vvoJu3cwMmAt8ex/s+g0e/cP/z+WGMUfjzaUd2gyf1TMzpj1WQ64A2Yfud2+8AS+9ZDqf+XvzfVKSWdr455+Bt+fkIvrnhpbvBs6h2qE45gy6DEpcCZ0m+OySwSUpCW691cxeN20KEyeas7Pc4NNPzQHPLnl98ZfXYuCmEVD9TttJ/CtD97GLFi3K888/7+8sEgKSdpt2866Rmuq/bkEnTrhq5ivdgZmvv2jMcb8/f4KxraFobej2q8uWG2dHYqIpvF580ZmuZyNHQq5criq8Uo+aJehVO9lO8rdQG3MOb4VjO+HeubaTBKhXXzWHIxcsaJb1Xnut7USZM3EiVAmAqeVMOpNqbggEO/e88pOgcCIR8pWxnSITUlMhTx7/XPvIEVedwXEmLYReQEu2LP0IxlwPVW+DBxeH2PdNq1ZmidLLLzvzfJMmQfXqzjyXj6yfZA5tz+WSSYRg9MurprFBAffU7M6YN890CHztNXjhBbNvym2FF5ijLf5n/2KgO7zV/Jk/BL4nL1l8HT582IkcEiJSjwZea+GLSk2FvH7qMrF3r6vO4DiTBuEO1Ioac9xt+mPwQy+4th90CP7zac/16aewejXMnOncc/7+O9x8s3PP5wNbZ0C+y2yn+Fsojjmbp8EVATTzaF1Kijmn69przc2Mgwedu4Hia5s2mX1pffrYTpIpf0w1S9RdtCAoyy75JVarVo0ff/zx7N9PnTrF3r17/RpKgtfpE1DoCtspMiEtzX/F1/79EBuAvZYvIP0kROb0//NozHEnjwdGX29mvTp9DU1ftJ3IYUePmg35vXtDBYfuMK1bZzbWP/ywM8/nI3tXBNbSolAbc45sg5OHoPEztpMEiFGjzPLCpUth7lz48UdX/W7+lzffhBIlAuew5wzaMQ9is9Y03XUuWXz17duXoUOH8uKLL+L1esmZMyd79uyhf//+9HFZVS12eTymtW2x2raTZMKpU+b8HH9ITIQCBfxzbT9IPQrRDsTVmOM+aSnwURXYuQAeWBQChyefT5s25gXcu+8695zvvGOWOLrshWLSLqgUQE3YQm3MWToEchWCPEVtJ7Fs/36oWxe6doX77jO/k5s2tZ0q+6ZMgU7um9ZMXANFa9pO4YxLFl958uRh4sSJFCxYkBtuuIHExETq16/P888/n6328hJ6jm4zf7pqwD91ytxB8ofDh93TOQk4leTMHg2NOe6SnAiDL4OTR6D3n1A8FI8/++orWLgQfvjB2TUz06fDTTc593w+cGADeE5Dxfa2k/wt1MacP36AUo1sp7Bs0CBz4+LoUVi/Hj7+ODjWu82da76mfv1sJ8m043vgMncdS5Zll/xOW7RoEQCPP/44r776Km3btuXnn38G4Oqrr/ZvOgkq+3+HCAeWrflUWhpc5qfNCUePQpEi/rm2H6QlQ+7C/n8ejTnucXCTOcMrOj/03u6yGyu+kpJijoy4/36oVcu5592/39ypf+op557TB1aNgpiCEBlA5z2G2phzZAvUus92CkuOHoV69eDJJ01H0q1bXXdA+UW1aQOFCrluNjwtxXRArRhAM+L+dMkeVFFRUbz33nu0bduWBg0aMGPGDLp27cr8+fOtn3kh7nJgPUT5qXGg35w5A2XK+Ofahw/DFe7ZAJd+0pkX1xpz3GHnr/BFc7OM+P7fguOmcZa0amU6og4d6uzz9u9vljmWLu3s82bTn7OhaC3bKc4VSmPOvpXgOQMV3dUIzze++sosMYyPN7NdwVR0gXlNkZLi7NJnH1n7FUREQ6ybjiLKhkv+uvzkk094/PHHKVmyJABxcXFMmTKF6Oho+vfv7/eAEjwOb4UYN+3/TEoyfxb302hw4oS5A+cS6anOnNGmMSfwbfgGPr8GKrQ2e7xCtvAaOhR++80cwur0P8K4cdChg7PP6QOHNkKFG22nOFcojTnrxpvl4yF1/EN6OtxwA3TpYvZ27dwZfIUXQK9eZjVNzwA5uTwT1k+E+Iq2Uzgnwz9+MTEx5/z9mWeeoWXLlj4PJMHr2E7I7Z5VdvDHH+YFlT9eVCUnm1k1FxVfZ06bc2GcojEnMK0YBt93h3o9oM1HttNYtH8/PPKIWb5Uo4azz71hAxw4YA5zdpGUw2b5cvW7bCc5v1AYc3b84rKOw9m1aRM0amS2EPz6KzRsaDuRf6SmmoOVBwywnSRL9i2DWl1tp3BOtl5V1qlTx1c5JAQc3wMFytlOkQlr1kBOP21SW7IEIiIgOto/1/cD7xnIb/lsHo05di0ZYgqvpi+FeOEF0KyZWZL89tvOP/fTT0P58vDfmRq3WDMWcuSGPA7sHfWVYBtzjmyFEg1sp3DI0KFQtar5Wdm/P3gLL4CHHjLnhj7yiO0kmZaWAikHoc6DtpM4J5QmnsWylANQuKrtFJmwYQP4a73/8uVmn4hLJO02f4bKGRzyb78NgFlPwXX9ofGzttNY9p//wJYtsG2b88/t8ZhziN57z/nnzqY/voeCQbjay01OHoayzW2ncEDnzmZp7nPPweuv207jX0ePwtix8MknrlwDvvZLiIyGgg4djxgIVHyJY9KSoVhd2ykyYetW0zXIH5YuhWLF/HNtP9izFCKiXDmuiw/Mex3m/AdaDYSr+thOY9myZabZxeDBdmaePvnE/Nmjh/PPnU37V4Zwl70AkHLYnLVZppntJH6UmgpXXWVuns6aBdddZzuR/91xh3mt8sADtpNkyarRUMhNN+Z9QMWXOOKvQb+km5Y77Nzpv2Yba9aY5RAukbAaovLaTiE2zHkJ5r0GN34I9d23j9u3UlOhRQuz5LBXLzsZBgyA66933Z2Q9DSztKjGPbaThK49iyE8R2C1+fep3buhdm0zO/zHH/47JiaQLFxoZsJnz7adJMv2LoWWFlZv2+Su0Vtca+2XZq2/q1rNJyZC2bL+ufbu3dC4sX+u7QeHNkEuP00CSuCa9YwpvNoPV+EFmLby4eHmMGUbVq40Sx0HDrTz/NmwZqyZPS9SzXaS0LV/pct+B2fGpk1QsaKZAdq1KzQKL4Bbb4VrroHm7lxLumuh6aRcx52TdlmmmS9xxB/TXLie9+hRqFzZ99f1eEy3wzbuOWjl6HaIdbDTodj345OwaBB0GA3Vu9hOEwAGDIAFC+D33yHK0tTBI4+YGfMKbhtMYc2XIdZlLwAd2gS5CtpO4QcrVsDVV0OdOuZn1GWzwln2xBOm6+m6dbaTZNmi96BAWbPnK5SEyHeo2Lb/dyjd1HaKTDpxAqpX9/11f/vvibQuegGVvM9lnSolW+a8BAvfg45fqfACYO1a02HwjTecbyv/l8REs8Ro0CA7z59Ne5dCpZtspwhtyfshuoDtFD62eDE0aABNm/79uzUUrFxpxoKPP4b8+S2HybptP0Nl9x1XmG0h8l0qNiUnwokEuNLSFoksSUoy53BddZXvr/3dd1DQXbcfTx7WXetQ8es7fy81rHqb7TQBID3dLOtp2NAUYLb06gVFi7qygUDyfjh1DOpp6apVKYcgxl2/ei5u61ZTdF1/vdn3FCrS083X3KgRdOtmO02WHdgAJw/B1U/aTuI8LTsUv1vwhhnwXbXscM4cs7QoVy7fX/vnn+3dPc+itOQQOhsmhC37FGY/AzcMhtohdODlRbVpY17s2NzQnpwM33wDQ4bYy5ANyz6F6PzuOt8rGKUlQXwV2yl85OBB01yjRg2YNs12Gme1bm2a/0yfbjtJtsx9CfJdBnmK2k7iPM18id+tnwAV3LO9yViwAOLi/HPtTZvgxhv9c20/OLgJvB4VX8Fu+1z44WG49hVo8KjtNAFiwABTdP34o90D0bt3N2cOPvSQvQzZsGkKFK9vO4Wkn4KcwdBww+OBmjUhPt4sxQ0lb7xhbuDOneuqs0LPZ8sMqH2/7RR2aOZL/Co5EY7vgSbP206SSatWQSk/nCh89Ki5i925s++v7Sebp5k286GylD4UJe2GMTdAlY5wzUu20wSIhQvNMsO33zZ7Smw5ehS+/ho++8xehmzweCBxLdw80nYS8Zw2XYddr107OHYM9u6FyBB6GTt1KrzwgjlgvU4d22my5c+fIO0ENLK4ktsmvZwSv/rtLYiJg/hKtpNk0tat/jmHa/x4iIkxezdcYtdvEGvhLFlxRnoafFoH4ipAp69tpwkQR4+a87xat4YnLW9I6NbN7BHt6s51oJummJnzqnfaTiJn0oOgq9wXX5jldrNmQWys7TTOWbkSbrnFjAe9e9tOk23zXoPC1YLg+zGLQuiWgdiwfhKUb2U7RRYkJMCVV/r+upMmmbNIXCRxHRTxQ9NHCQwjGpkD0B9YbDtJAGnQwCw7/u47uzn27oVvv4VRo+zmyIbf3jHjh2bO7QsLAzy2U2RDUpJZetuzp2mAEyp27DCt9K+5xrUz4P+UngY758NNI2wnsUfDofhNWgoc2wkNn7CdJJM8HtNm3h+HFi5ZYu5eucjx3VC6ie0U4g9z+5ljIB5cClF+6C3jSvfcY17sLF1qv2K49VYoUwa6uLff/+6FUFz7RQNCWDicOW07RTbcfbeZ7frgA9tJnLNjx99n+wVJR8df34TInFDzHttJ7NHMl/jNiqGQIwaK17OdJJMWLzYvuir5eK3k7t1mnXpP9/Rb9nhMp8MK7ukPIhmUuA7mvQqtBkFcedtpAsTw4TBmjOmeZntp8Ny5sGiRuWHjUusnQVgEtHFnk8agEx5hmm640s6d8P33ZibY9k0Rp/xVeJUvbw53D5Kve+7LUKyu7RR2Bcf/SQlIq8dAcT+s3PM7f53D9eGHZilTYff0W94x19wt1Yvz4PPljVCsnjobnrV2rVnS9OyzZq+XbV26mNn3em67e/W3394xN9/CdZs3IETGmPPWXOmxx0wTrPbtbSdxxtKlULmymfEKosJr01QgDO4Kjkm8LAuO/5sScDweSFgNdbvbTpIFv/3mn31ZU6aYddsusvZryFvcdgrxtbn94Phe6BJix+NcUFKS+dls1Aj697edxrS4T0gwXQ5dKj0N9i6Dq5+ynUT+kjPWHLTsStOnmxsjoWDSJLOnrVkzWL48aAovgB+fgDLNIJefTvJxi+D5PyoBZeuM/3a4ut12kizYtMn3m3nT0811XXZOz855Op8n2KQmwfzX4NpXIVe87TQBwOOBunXNXpKffrKdBg4fhueeg2ee8d9Zgw74a1/HFR1tJ5G/5MwHqUdsp8iCmTPN79AHH7SdxP+efx46dTKvFX74IagKr30r4PAWaPuJ7ST2aTGA+MWSD6FgJZeOGwcOQBsfnwr92WeQIwe0bevb6/rZkT+hcYjcbAwVU+6D6ALQ5DnbSQLETTfBnj2wfXtgnBnUurXZb/b667aTZMuyT6CyCq+AkqcI7PvddoosmDDBLDkMhJ9Pf0lNhWuvhWXLzOuFbt1sJ/K5aQ9DkRpQsILtJPYF8Xey2LRrATS0fDxOlmzYYO6EN23q2+sOHeq61rhHd8CZU1DlVttJxFeSdsPGb+G2SbaTBIh+/czd5QULAmMv5tixZq/H6tW2k2TLvpWQvB9avGk7ifxTXEX4c7btFFmwfr1pOhGsFiwwN2YjImDNGqhSxXYinzuyDfYsga7zbCcJDNaLr/379zN48GDy5ctHo0aNaNLk757WL774IuXKlWPZsmW88sorFA6EX45ySQc3wakkaPCY7SRZMGkS5M/v2ym79HTzYuqbb3x3TQes+gKi8wdfC/JQHnO+fwjylYYq7jrtwD+++84UXx9/HBg3RpKTzbKqBx6AatVsp8mWHx6BQlUhVvtFA2q8KXwFnDru16fwj5QUKFLEdgrf83jg/vvNOX6tW5vXCFFRtlP5xcTbIb4SlG5sO0lgsF58DRs2jA4dOlCnTh1uu+22cwamnj17UqJECY4fP86SJUto+z9LtoYOHcrQoUPP/v3AgQOO5ZYL+6UfxJYyL9xdZ9Ys3991Gj7cLDl0WZemrT9CIXe/BjyvrI45bh9vUpPMXswOX9pOEgA2b4aOHc3SnkDZh9miBeTNC5+4e0NE8n5zttc9bpxh8YNAeo1TogGcSTWv+V21JSB3bjh61HYK3/rhB3Nu2cmT5qavy87/zIzdi03zne7LbCcJHI4WX2vXruXFF18857ECBQpQqFAhIiIiSE5OPud9JUqUID09nR07dtDzPGcjde/ene7d/26nV8/FLXmDyR9T4ao+tlNk0dq18PDDvr3moEHmZHqXSVzj/k5lvhxz3D7e/Pik2etVzY1NcHwpJQWuvBJq1TJ7KwLBO++Y5YZr17rsVfG//dDLdEgt64cz6gNdoL/GyX+ZOTpk33Io4aZGSjVqmJnqYLB/vym0Fi82+03HjoVcQba85H98czeUbAjF6thOEjgcLb6qVavGt99+e85jr732GgcOHKB06dLkyZPnnPelpaXxwQcf8NJLL5GQkECpUqUcTCtZsX2uOZS3kRubNKSlmU5jd93lu2vu32+6HI4d67trOiBpt1k6WseNRwX8g8acv60bD1f2sp0iAFx5pZmJ/vVX20mMTZtMC+033nD9Xo/0VNg0Bdp8bDuJHW4Yb6LywrafXFZ8PfaYmRHeuRNKl7adJmuOHjVLDKdMgTJlYMUKcwMoyG34xnQ41Ez4uazfYuvWrRuTJk3i7bffpk+fPgDcd999AHTu3Jnff/+dZ599lilTptgLKRn2Y18oWsul+4S++868KKtUyXfXfP55KFQI6rjrls/SjyAmDvIE15YnIDTHnM3T4fQJaPLipT82qHXqBFu2mI5igbC3Ij3dNPepWxeeftp2mmz76XlzkG+dB2wnCRyBNt7EljTLwFylShUoV84cPO42Bw/CHXdAfLy54TN+PGzdGhKFl8cDUx+Ciu3MXmP5W5jX6/XaDuEr9erVY9kyLSq15egOGFwW7v8VSgXA/vVM69LFLAXYssV314yNhUceMXe1XeSjapC/DHSeajtJ4HLTeDO8kelcGdJr7l9/HV56CebM8X0306z66xDVvXvhf2ZF3MbjgTdj4cpHoYW7hjvX8MWY8+19sGMe9P7TN5kcs3ixaYzz/vvQywVT+GvXmt/98+ebZiH9+kF3ly8lyaQfn4Il78PThyDK3cObz1mf+ZLg8X13yF/WpYUXwKJF0KCB7643aRKcOAH/+Y/vrumQQ5ugVlfbKcRX9i2Hej1sp7Dou+/Mz+EHHwRO4fXCC+aF2YIFri+8ABYOgDNpcG0/20nkYiq2M8vKXadBA/i//zNLEIcMsZ3m/NLTzU2ekiWhenVITISpU2HfvpArvJL2wqL3oOW7KrzOx3q3QwkOqUdh22zoNNF2kizyeGDHDt8O6s89Z+5su2wz7Z8/gdcDlYO3+VJI2fYzeE5DrftsJ7Fk0ybT2fCBB3zfTCerfvjBzIZ/9plpJuByHg/M+z+o+yBEBsBqTrmwiu3MeHBkGxQoaztNJr3wgmlI89hjpqiZPNn+79f0dNPR+JNPzJEyOXPCzTfDm2+6d3+aD3zVBgqUgwaP2k4SmDTzJT7xQy+IiXfx+UE//QReL7Rq5ZvrrV1rli9++KFvrueg5Z+YQdPlTdfkvxZ/AHGXQ3go3mpLSjINNurVMwedB4JNm8yLs3vuMa3ug8CCN8yy1uvfs51ELiUyyuznXREgjT4z7bnnYO5cs1y3QAHo2dN0MHXSjh3w5JNQsaIptnr3NlmmTDFZvvwypAuvNWNh/yq483vbSQKXXl5Jtnk8sH4iNHLzfvHPPzcdiHxVcTzyCFSu7NvmHQ7Z/gtcfqPtFOIrexZDuRa2U1jg8ZhGFrlzm+V9geDgQVMI1qljxpwg4PGY4qtuD816uUXx+rB5mu0U2dC0KSQkwCuvwLhx5ny8WrXMbNPBg759rrQ0M8vWtav5nR4dbV4rjB5tZq1nzIDUVPj5Z/ifc9pCUVqK2YJS6z5zqLKcXyjeCxUfW/YR4IWrHredJBvmz4frr/fNtRITzfWmuq9bxbGdkHIAGrn8fC8xPB44kQDVOttOYkHbtrBnD2zfDpEB8KsuNdXsAylUyOzzChK/vAqedGg1wHYSyahqd5oudK4WHm5mwZ57DmbNMst4+/c3f4+NhVKlzMxUrVpwxRVQogRcdhkULWo+Pz3d/EwmJ5tVKlu3mhmtHTvM7PTOnaaQO3XKjB8lSkD9+vDii9Chg/3ljgFqbGvIkRvaDbOdJLAFwG8kcbvf3jHryF27TC09HXbv9t0SoK5dzUB9o/umj359B3IVNu2Ixf12zDV/lnRrE5yseu45mDnTNNEpHADnJXg8ZrYrLQ02bw6MYtAHPB747W3T4TAkl7W6VLU7YUpX2PkrlG5kO40PtGxp3sCcrTlqlOmOuHkz/PKLaXyVng5nzpz/8yMizPLBXLlM4Va6tCmwGjaE664LjDHEBVYMh53zofsKF78edIiGS8mWQ5vNbEnXAFnVkyXffmteDDX0wSvU/fth+nTT6dCFNn4DFd1XM8oFbJ4GuQuH2C/C8ePhrbdg5Ehzp9o2j8csNfzrjnoQdDb8y0/PAV61lnebyCizD3ThgCApvv6paNGLn5mXlmZ+34fUoOh/yYkwrSc0fByK1bKdJvDpu0+yZdF7kKeoyw/QGzsWypf3zbW6djVtZm9xX+eRlMNwfA80etZ2EvGVhDUQ6+afzcxau9ac19enD9x7r+00pvBq0AA2bjTZSgbPlHJ6KiwaBE1e0KyXG1W93XRCDTlRUSq8/GDUdWbFzPVafpwh+g6UbNn8A5RtaTtFNi1cCDfckP3r7NhhljoF6hkkl7BoAETn1ybZYHJkKxSqYjuFQ1JSoFEj8zZwoO00pvC6+mpYtw7WrIGybuvrfXFTukFUbmj8vO0kkhVXPwmnjkHCattJxO1mPwcHN8C9c2wncQ8VX5Jl6almyeFVj9lOkg2pqaZr0gMPZP9aHTuaDb7t22f/WhasHQ9lr7OdQnzpRCIUr2c7hUMaNjSdyH76yXYSs7+kTh1Ytcq8+WpmPUAkJ8K6cXDD+5pEcKvo/BBXAX56wXYScbOts+DXt6DdZ5D/Mttp3EOLBSTLVgyDyGiXv7gbO9a8YKtaNXvX+flnWLECVq70SSynpRyGI39Cp69tJxFfSk+FQlfYTuGAHj1gw4bAaGaRnAzVqsGRI2a54WXB94pk0p1miVHNu2wnkey48lGY9ZSZpFURLZmVchC+am+WsNbuajuNu+jHTbJs1WiXF14AX39tzu7IrrvvhhYtzLkfLvRLP4gpAMXq2E4ivuRJh/zBtdrt38aONQcojx9vv9BJTDRnAKWmwrZt9vP4QeI62D4Hbv7CdhLJrvo9wXsG1oyxnUTcxuOBzxpA3mLQYaztNO6j4kuyLGEV1AyAPe3ZsnRp9g9GfO0186Jr3DjfZLJg7Tio0sl2CvGltBTzZ75SdnP41Y4dcN990Lu3/SY3ixebwisuzpwtFhdnN4+fTLwditSAMtfaTiLZFR4JZZrDvP+znUTc5pu7TIOubos0a5oV+ieTLNk+D86kQS03F19Hj5qlQQ8+mPVrJCZCv37w6quufbGVuA5SEqHZK7aTiC8l7QLCgrgTnccDTZuamev33rObZehQ01yjWTOz1DA62m4eP1k7Hg6sh9vceZKGnMeNQ+DwVvN7QCQjFrxpbtjeMQXy6Ai0LFHxJVmy9AMoUM7lL+w+/xxy5zYHKmZV27bmQOXnnvNZLKfNecksTctT1HYS8SVPuu0Eftajh2mW88svdnM88IDJ8p//wLRpQXsb2OOBqd2hemeIC67+ISGtYAUoWBGmu7lxljhm/UT46Xlo/T5c3sp2Gvdy80tnsWj7XKh5j+0U2fTNN2ZjfFaNHAnLlpk20i62dQY0edF2CvG1iCjbCfxowQIYNszs2bQ145yYCI0bmyWG337r2i6nGTW9F5w5De1H2E4ivtbiLfi6g+liqZkMuZC9y2DiHXBlL/MmWRect+jEr5ITTZebBr1tJ8mmVaugXbusfW5iIjz0kDnMNbudEi1a9zWkn4KGT9pOIr4WEQV4bafwA4/HHOvQogXcequdDN98A6VKmZbyO3cGfeGVtBeWfwo3DILIYC7qQ1TlmyBPMfium+0kEqiSdsPIJlCuhZn1kuxR8SWZtmQwRBeAfNlYrWfd4cNw7Bh0y+Jvm2uvNS++AuEw12yY8zKUaaYXVMEoPIftBH7ywgtmv+bkyc4/d3q6Kfw6djQdTrdsgaLBv153/M2QvwzU7W47ifjLDYNhyw/mxqrIP6Uchk9qmjGg8w+20wQHFV+SaesnQ+kmtlNk08iRkCdP1l44PfmkOU9ojruPcz+yDQ5tglaWexWIf/y1fCj1qNUYvpWUBO+8A/37m59fJ/30ExQsCLNmwfTpZtljkO7v+qeNU8xyo9u/sZ1E/OmKjmb2a/LdtpNIIEk9CkMqQlQeeOj3kBjyHKF/RskUjwcO/wH1H7adJJu+/RaqV8/85/3wg+msNnx49hp1BIAZfcyJ9EWyse1NAld4JIRFBFkXs549oUABcwPEKSkpZnlyy5amm+HBg9AqNHaap6fB5C5Q7Q7TXl6CW/vhsHVmkI0ZkmWpR+GDCpAjF/TaBJHB2cTVChVfkinrxpsXdK7vcrNuHVx/feY+Z+9ec5bQ3XfDPe7uNuJJN0tMmrxgO4n4U2Q0HNxgO4WPeDwwcSK89JJzzzlwoGnosXChme369luICp01upPuMEX8LaNsJxEnXN4KitaECbfZTiK2pSbBBxXN75BH/1Dh5WsqviRTVn0BharYTpFNHo/ZM5KZzfqpqVCrFpQrB1984a9kjpn3umnIUOt+20nEn3LmhUObbafwkdGjweuFRx7x/3PNmgUlS8LTT5sDnBMTQ2a26y9//gQbv4Vbx7v8SBHJlE4TzQ2bdV/bTiK2pBw2M14RUfCIZrz8QsWXZMq+FVAukxNGAWfOHLNwOaNt5j0eqFvX/Ll8uX+zOWTxYKjWWeu3g12eYpC41nYKH/n6a7jiCv9+0y5dClWqmELriitg/354662Q+0FJTzVNNirfHASrHCRT4spD9btgyv1m2amElkObYXAZyBEDvf6AqFy2EwWn0PqNItmSnmY6IdW813aSbJo5E+LjM/7xzZrBn3/C6tWQy/0j0dKPIO246W4lwa1YXTgQLPs3/vzTFEb+MGuWuXaDBhAbaxrq/Phj5saJIPJlW3PXu5NmP0LSzSPMbOfE220nESftXAAfVYP4yvDYFhVe/qTiSzJs8zQzILu+QcMff2S8y2GLFrB4sTlMuXhx/+ZyyJz/mFkvDazBr3xLSN5nO4WPREaa5b++kp4OAwaY5YWtWplCa80a8/NevrzvnsdlVgyDbT9DlxlabhiqwiOh0wTYNAW2z7WdRpywZix8fg1UbAsPLtHPvr+p+JIM2/Ub5CpoO4UP7Nhhzui6GI8HGjWCefNg0SJXH6T8T8uHQuoxaPOh7STihAo3wpm0IDm7p3Fj8/OYXb/+CjfeaGaxX3gBrrrKNNOZPz9ofs6z6vBWmNoDGj8LJerbTiM2lW8JFdvBV+3MMlQJXr+8ao4YuOoJuH2S7TShQcWXZNiBdZC3hO0UPnDihDmv50KSk6FyZVi1yrzVquVYNH/76Xmoers5s0OCX1QeiIyB9cHwC/Wdd8zPbvPmZtYqo/7qktimDeTNC02awNat8MEHpo38xIkhcVDypXg8MKIRFKkJ1/W3nUYCwe2TICInjGppO4n4gyfd/L/9pR/cOASuf8d2otChiUXJsCPboGgt2yl8IEcO8yLufBYvhuuuMy/StmwJqhdlK4abczvafWo7iTip0BWw9iuo95DtJNmUJw8sWGCKr7x5oXVruPlmuOYaKFbMFGQHDsCKFeZt8WJYuxYSEkzDjIoV4amnoG/foNi76WujW0JaMnT9xXYSCRThkXDvz/BpbVg4EBo+YTuR+MqxnTCsgfmZ77ZIM91OC/iZry1btnDFFVfYjiFAygGzEdP1KleGlSvPfSwtDe66Cxo2NMubdu0KqsLL44EfnzSHpWrW6+KCbcypejvsXWY7hY/Uq2eOiXjhBVNYPfQQlCkDOXNC7tzmv++4Az79FA4fhk6dTHfT06fN2X4vvaTC6zx+fAp2/AJdF2h8cFqgjzdFakDz12HWU7DzV9tpxBc2ToH3L4eYgvD4HhVeNlif+dq/fz+DBw8mX758NGrUiCZNmpzz/gkTJlCsWDFL6eSfPOnm3CDX69cPatSAe+81+z1mzDAHqMbEwIQJ0LGj7YQ+99OzkH4K2g+zncS+UBtz6j4Es5+GAxuC4Iw+MLNYL75o3v6Snm4eD7GW8L6w5itYOABuHgXFatlOE3yCYbxp/CzsWgijW0DvHZCnsO1EkhUeD/zwCCz/FGp3g/af2U4Uuqz/pho2bBgdOnTgqaeeYtCgQee8b+XKldSoUYOwsLDzfu7QoUOpV6/e2bcDBw44kDiEeU37YderVg2GDzct5596ynQ/fPttOHIkKAuv1CRY9B4066fDEiHrY45bx5voWMhTFJZ8YDuJH0VGqvDKgoTV8M3dcFUfqHmX7TTBKVhe49z+jdnzPbSOuREr7nJkmzm/a+UI6PiVCi/bHJ35Wrt2LS/+824lUKBAAQoVKkRERATJycnnvG/q1Km8+OKLvPfee+e9Xvfu3enevfvZv9erV8/3oeUsrydIii+Arl3NWwiYdCfExEGjp20ncZ4vxxw3jzflW8HGb6HNR7aTSKBIPWoabJRuDK0G2k4THIL5NU54OHRfBoPKwKd14KGVut/hFgsHwqynoXBV8/8tV5ztROJo8VWtWjW+/fbbcx577bXXOHDgAKVLlyZPnr8Xmx85coTk5GQ++eQT9uzZw9dff81tt93mZFz5H14PhOewnUIyI3EdbJkOnafZTmKHxhyjeX9YNcrMdBSpYTuN2OZJh09qQc58cM9s22mCR7CPN9H5oedqGFIZvmim5iyBLjXJLBXdtxyueRmuecl2IvmL9fsW3bp1Y9KkSbz99tv06dMHgPvuu48CBQrw5ptvUq5cOcLCwoiLU6luW3iOIDkvKIR83QGK1oQKrW0nCRyhOObEFoe4y2H2s7aTiG0eD3xWH1KPQI+VOkzV34JtvMlXGh5YArsXwpftbKeRC1k0GN4pBEm7oedaFV6BJszr9Xpth/CVevXqsWxZsLT1CjzvXw6lGsEtX9hOIhmxZAjM6A29t5lfmOJbbhtvln0K0x+FF1K1XCiUjWoJOxdAr42Q/zLbaSQzAmnM2bUQPr8GLrsG7pllO4385fBWGNsajvwJDZ+Elm/ZTiTno1/BkmH5SsPhLbZTSEakJZvW8lf1UeElRp0HISwMln5oO4nYMvku2DEXui1U4SXZU6qhmQHbOR+GX21mVMUejwemPQxDKkKOGOizXYVXIFPxJRkWVxGO77GdQjJifAfImR9a6MR6+a/wcKjcAeb9n+0kYsOPT5nDtrvMUEt58Y1itaDHKti/Ej6sbG76ifNWDIe3C8DKkdBumPl/ElvSdiq5GBVfkmFFa2jPlxts+xn+nA23T9LyMjlX20/h5GH4faTtJOKk+W+Ys7xuGQPlrrOdRoJJfCXo/SekHYf3Spllb+KM7fNg0GUwtTtUvgWeOQa1Q6OJs+vppZlkWJlmcPoEpKXYTiIX4vHAhE5weWvTQlrkn6Jj4YpOMPsZ20nEKb8NgJ9fgBuHQPU7baeRYJSnqDl8ucDl8GEVWD/JdqLgdngrDK0PX1wLBcrDE/vg5s8hMliOAgoBKr4kwwpVgcgYWKHD+QLWt/dB+ikz6yVyPpr9Ch1LhsCsp8w5XvUftp1GgllkFHRfCrXuNzcAJ9+jfWC+lrAWPmsAH1QwSzy7r4B7f4Y8hW0nk8xS8SWZUrw+rB5jO4Wcz+7FsGYM3DIaIqNtp5FA9dfs16y+enEUzJYPhemPQYs3TeMdESe0+wQ6T4UNE2BwGS1D9IXdi+GTmvBJDUg/CV3nQ68N2rvpZiq+JFNq3QeJq22nkP/l8cBXbaFsc6hyi+00EujaD4e0EzDzcdtJxB9WfgFTe0CzV6HR07bTSKipcCM8vgdi4kz3vR+fsp3InVaNMbNcwxtCeJSZ6eq5Gko3sp1MskvFl2RKzbvhzGmz0VMCx9Tu5sX0Hd/ZTiJuEJULbhgMS4fA0R2204gvLR8KU7pCkxeg6Yu200ioyhVnDvFuPQQWvw8DS5izweTiUpNgak/onwem3Gf2dPXaZJZ0aqYreKj4kkwJj4QC5WDJ+7aTyF+2z4XfR5gNt1G5bKcRt6j3kDk+4su2tpOIrywc+PeMV3MdKSABoH5PeCrBNOMY0QhGNIHk/bZTBZ7NP8CwhvBWflj/NTR4DJ5PgbtmQMEKttOJr6n4kkyrdR/8MQ086baTSHoqfNUOKraDqrfZTiNu03kqHFyv5hvBYN5r8GNf01xDM14SSKLzQ9df4P5fIWmXmQUb3xFSDttOZtehzTDhNjPL9VU78Jw2q1eePgTX9Vf3wmCm4ksyrfHzEBYGc1+2nURGt4KInOpuKFkTVx7qPQzTeuhutJvNegbmvARtP1FzDQlcpRpCn+1w0xew+zd4txCMuxmSdttO5pyjO8yywgHFzH64PYuh8bPw/AnovgwqaSVCSFDxJZkWHg71H4FFg9UtzaalH8GuBXD3bLMcVCQrbvwA8pWG4Vfr59mNvnsQFr4LHUZD3e6204hcWs274Ml95tDvfcvhvdLwSS3YMtN2Mv84sMEcA/NOYdMBcuM3UKEt9Nlh3pq+qA7FoUbFl2RJizfMFPlvb9tOEpoObTZtpBs/q024kn3dFsLxvaZRg7iDxwMjr4FVn8Pt30D1LrYTiWRO9Tvh8V1m/MmRC8a2hjdizRlhbm4ElJZiztgb0Rj654aProA/Z0O1O0wXyL77of1n5qaXhCbdL5csCY+Eml1hwZumABDnpKeZ1rNFa0Pz122nkWCQKx46TYRx7aFSO7jiVtuJ5GJSk+DT2nAiAbr/DkWq2U4kknUlG0C330zRsuB1c1TC4NFmXCrfCho+AcXq2E55YSmHYc1Y2DwN9v8OJxIhMgaK1ITm/aFON4jKYzulBBIVX5JlrQfByuHmDs+VvWynCR2fXwPeM3D/fNtJJJhUagt1H4JJnaFYXShQ1nYiOZ8j20zhlSOX2T+TK952IhHfiMplbig2fx2S9sJv78DGybDmS4iIgvhKUPY6qHYnlKhvJ2PSXtg8FXbMg4TVcORPOH0CcuQ2XQmrd4Fa9+uGiFycii/JsshoqP2AOUCxxl2mo5H415SusG8Z9FitNeLie20/hj1L4NNa8Ng2c1aPBI7N02H8zVC4Otz/m7qhSfCKLQ43vGfe0tNg3ThThK0ZC4sGmaZf0fkhtiTEX2Fmzy67Fgpdkb2fi7QUOLQRDm6A/avgwHo4ut00JDp1zHR5zpEL8pYwz1W7G9ToopsgkjkqviRbbvwQ/vgORrUwnXrEf3592yzH6DwVClWxnUaC1YOL4f3L4eOq0HubivxA8cMjsPRjqH4XdBhlO42IcyKjoOY95g3MfsedC2D7HNi3wiz12zwN0pIBLxBmZsoioyEqt9kmERYB4RHmTzDHtJxJgzOn4Mzpv//EC2Hh5vOj80Oe4hBfGarcagq8stfppodkn4ovyZbwcLh3LnxYGX59Bxo9ZTtRcFo+FGY/CzcMhgo32k4jwSw8Eh5eC4MuMx3IHl5vfs7FjpTDMLIRHN4KHb+CarfbTiRiV3g4lGlq3v5Xeqr5WTn0h1kSmLzXzJydOQ2evwosIGcsROU1BVbOvBBbyhRZceXVPVj8T99ikm0FK0Cz1+Cn56BKBzN4ie+sHQ9Te8A1L0ODR22nkVAQlQd6rIEhFeDzpnD/AtuJQtOWmWaZYa5C0PtPs8RKRC4sMhoKVzVvIoFK9zPFJ5o8B0Wqm2YQOivId1aNgsmdoeHjcK0OtRYHxRaHB5bA3mXwWQP9XDvJ44Fv7jWttyvdDL23q/ASEQkWKr7EZ+7+CVIOwlQd9OkTSz8yBzM2fhauH2A7jYSiwlWh5xo4sM6cVZOeZjtR8Nu5AN6Jhw0TodMEuPUrLfsUEQkmGtLFZ3LFQYex8PsImNvPdhp3m/4Y/NDr77a7IrYUrAC9/jBn13xQ3pwxJb7nSYcJnWBkUyjRAJ4+BFd0tJ1KRER8TcWX+NQVHaHdUPilH8xT0ZBpHg+Mvt7Met06ziznFLEttrjZc+Q5A++Xg6TdthMFl03fwdsFYcsM0830runqMikiEqzUcEN8rs4DpqPQD4+Ydq3qgJgxaSnmfKWk3fDgEihWx3Yikb9F5zcF2Kd14f3y0GmSOZhZsi5pL4y7CfYth8q3mG6GamMtIhLcVHyJX9TvaZbRzOgNETngqj62EwW2AxtgxNWmWO39J+QpajuRyL9FRsMj68xh3+PaQ4Pe5hBUyRyPB2Y+DkuHQP6y5tD0ItVspxIRESeo+BK/afCoOcRw5hPm3Iwre9lOFJhWDIepD0Hx+nDfL7rzLYHvppFQroVpCLNzvmlFr2VyGbN+InzfHdJPQush5kaViIiEDhVf4ldXPwme06aBRPI+NY/4J4/HtJFf97XpaHhdf9uJRDKuehcofqWZsX2nsOnMd3kr26kCV8JqmHCbOfy16m1w8+cqWEVEQpGKL/G7xs9CTBxMexj+mAb3zYPoWNup7Eo5aM5OOr4X7poJ5VvaTiSSeQUrwON7YNId5kyqy2+A2yerqPinlMMw6U74cxYUqwu9t0H+y2ynEhERW9TtUBxRtzv02mTaVQ8oCltn2U5kz/qJMLAk4IU+O1R4ibtFRpmC696fYfci07Vv/UTbqexLS4HJd8G7heHAWrhnNnRfqsJLRCTUWZ/52r9/P4MHDyZfvnw0atSIJk2anH3funXr+OWXX0hPT6d+/fo0bNjQYlLJrrjy8PhumHQ7jGll9jrc+KHtVM7xeGDibbBhsukI2eYTHZ5qg8Yc/yhzLTx10DTjmHCb2cPY6evQKzbS08wy65XDIWcstP0U6nSznUps0XgjIv/LevE1bNgwOnToQJ06dbjtttvOGZj69+9Pq1atSExMpGrVqv/63KFDhzJ06NCzfz9w4IAjmSXrwsPN3pA1X8G395oZsK4LIE9h28n8a/tcGN/BNCC5exaUu852otCV1TFH482lhYfDLV/AVb1h4h0wuCxc3hpuGW0OYQ9mqUkw62lYNdIsu2z5rvl3kNCm1zgi8r/CvF6v16knW7t2LS+++OI5jxUoUICXX36ZMmXK0KpVK2bOnHn2fZUrV2bOnDns3LmTGTNm8PLLL1/0+vXq1WPZsmV+yS6+l7QXRjaBpJ1Qt4dpWR1u/XaAb6WnmaYaGyZDhRvhtonaD+Mkf445Gm8ubdN3MLWHWW5c4y5o+0nwff8nrIUZj8GOX8xZaA37QqNnNKsdivQaR0QywtGXutWqVePbb78957HXXnuNAwcOULp0afLkyXPO+4oUKUJsbCwFChTg8OHDDiYVJ8QWh95b4bcB8MsrsGIYXP0EXPt/wfHCZeFA+PkFiMgJXaarE5wNGnPsqtTevC0famaF1oyF8jdA6/ehQFnb6bLO44GVI2DBm3DkT4ivBLdNhso32U4mNmm8EZGMcHTm63z27dvH4MGDyZ8//9n10Pfddx+ff/45s2bNYsGCBZw5c4YuXbpQpUqVi15Ld4Xcy+MxBdhv70BYBFzzMjR6ynaqrNk6yyypTDkADR6DFu8ERzEZLHw15mi8ybwVw2H+a3B0B8RXgRZvmOLMDTweWDceln8Ku34zj5VtDq0/MF0fRc5Hr3FE5H9ZL758SQOT+3nSzaHMyz6BqNxw3ZtQ7yHbqTJm1Rj4+XlI2g3lWkKn8WYZkgQnjTdZt28lzOxjDmjOkRvKXgdNnocS9W0nO1dyIiweBBu+gcN/mBtDhavBlY9CzXt1U0WcpTFHJDgE2Q4bcbvwSLMkqeXbZq/I9F4wozeUbmLOCwu0RhXpafDb22aJ4akkqNgWui0ySypF5PyK1YL75kJasll2vGYMDGtgbriUvQ5q3w8V2jpf3OxbCWu/hG1z4NAmSDsO0QXM+HPDIC0dFhGR7NPMlwQ0T7rZL7LsE0hcCzlioExzaPoilGxgMdNnsPy/mSJymmYCrQZCVJ5Lf74EB403vpWWDIsGwerRZh+V5wzkKQLF6pm9VOWvh3ylffNcqUnm0OMd82D/7+b5kveD1wO54qFIDSjfCqp30Y0UCRwac0SCg4ovcY30VPPi7PcRcHgL5MxrCrHy10OVWyBPUf89d+I6WDsOtkyH/SvNDF2pRtDoad0ND1Uab/xr7zJYNcrMQh3ZCuknISwcovJC3mKQuyjkjjd/5i1+7o0PrwdOHoKUg3DyMCQnQPI+81hqEnjSICLKFFr5y0HRWlChtRlLgq3jqgQPjTkiwUG/ZsQ1IqPN0sPGz5oXUL+9A+snmjvYPzwM4TlMARZfBS5rYjbyF6mRuedIPQoHNpi74Vt/hH0rzIs2TzrExEHh6uacsiq3+OVLFJH/Kl7PvP3Fkw57l5uW7nuXwfF95md192I4fcK8/58ioiBHLrOnLCYOitWFuApQtCaUb6lZahERsUPFl7hSdCw0/z/zBmZWbMtM2DID9i41e7DmvAR4zd3ysAhzRzsiyrxFRps/T58wy53SU/9+8RYWDpExkL+MWXpU5RbdERexLTzSLDW2tdxYRETEF/RyUoJCZLTZF/LPc3Y8Hji+2xzweuKAaf1+8vB/347A6WTIVdgUWXGXQ8GKEFtKHcxERERExD9UfEnQCg83G/R9tUlfRERERCQ7dI9fRERERETEASq+REREREREHKDiS0RERERExAEqvkRERERERByg4ktERERERMQBKr5EREREREQcoOJLRERERETEASq+REREREREHKDiS0RERERExAFhXq/XazuEr8THx1OmTJlMf96BAwcoVKiQ7wNlgbKcn7KcXyBniY+PZ8aMGRYT+VdWxxsI7P9vNinL+SnL+f0zS7CPN6DXOL6mLOcXSFkgsPL4aswJquIrq+rVq8eyZctsxwCU5UKU5fyUxZ0C6d9KWc5PWc5PWdwnkP6dlOX8lOXCAimPr7Jo2aGIiIiIiIgDVHyJiIiIiIg4QMUX0L17d9sRzlKW81OW81MWdwqkfytlOT9lOT9lcZ9A+ndSlvNTlgsLpDy+yqI9XyIiIiIiIg7QzJeIiIiIiIgDVHyJiIiIiIg4QMXXPxw5coTChQvbjhHy0tPTef311wNinW8gZYGL53H6+zfQ/m3cRuNN4Aik72W3ZNF44z4acwJHIH0/uyVLMI05kT6/YoBLSUnhlVdeoXTp0hQpUoROnTqdfd8XX3xB+fLlrWfZu3cvX3/9Nblz56Zo0aK0a9fOWpZhw4axY8cOoqOjqVOnDq1bt/Z7lhMnTnDDDTfw8ccfn/P4+vXrGTduHGFhYdx5551UrlzZWpa3336bAgUKsG7dOnr06OFIlovlAee/fy+Uxcb3b6DSeJP5PBpzAmfM0XjjPhpzMpfFxngDGnMymwWCa8wJuZmvyZMnU79+fXr16sXYsWPPPr5v3z7y5s1L7ty5rWd5++23iYmJISkpibp161rNUqNGDRISEli1ahULFixwJEu+fPkoWLDgvx4fOHAgjz76KL169WLgwIFWs3Tp0oUHH3yQZs2aMXv2bEeyXCyPje/fC2Wx8f0bqDTeZD6PxpzAGXM03riPxpzMZbEx3oDGnMxmCbYxJ+SKr127dlGoUCEATp48efbx0aNHc/fddwdElo0bN1KjRg3uuusuXnjhBatZPv30U/r168fnn39O27ZtHclyIbt37yY+Pp74+Hh27dplNUuJEiUAWLx4MZ07d7aaBex8/16Ije/fQKXxJvN5NOacXyCNORpvApfGnMxlCaTxBjTmXEiwjTkhV3yVKlWKAwcOABATE3P28YSEBEaMGMGePXsYPny41SxFihQhNjaW/Pnzc+TIEatZDh06RIECBQgPD+eNN95wJMuFlCxZkoMHD3Lw4EFKlSplNYvX6+XDDz+kR48enDhxwmoWsPP9eyE2vn8DlcabzOfRmHN+gTTmaLwJXBpzMpclkMYb0JhzIcE25oRc8dWhQweWLl3KkCFD6NKlC/fffz8ej4cBAwZQs2ZNwsLCiIuLs5rliSee4PPPP+fdd9/liSeesJrlscceo3///rzyyivcfvvtjmTxer2MHz+eTZs2sWLFinP+XT744AOGDBni2L/LhbL07duX2bNn079/f0aMGOFIlovlsfH9e7H/T05//wYqjTeZz6MxJ3DGHI037qMxJ3NZbIw3oDEns1mCbczRIcsiIiIiIiIOCLmZLxERERERERtUfImIiIiIiDhAxZeIiIiIiIgDVHyJiIiIiIg4QMWXiIiIiIiIA1R8iYiIiIiIOEDFlwSc1NRU2xFEJERovBERJ2nMERVf4oj+/ftz+eWX89lnn/Hee+/Ro0cPUlJS/vVx33//PcePH7/k9VavXs2SJUv8EVVEXE7jjYg4SWOOZIaKL3FE/fr1ueWWW3jwwQd5/PHH2b9/P7NmzTrnY/bt20dSUhKFChW65PVq1KjBvHnzSEtL81dkEXEpjTci4iSNOZIZKr7EEYsXL+baa68FICEhgUOHDtGoUaNzPmbEiBHcfPPNGb5my5YtmThxog9Tikgw0HgjIk7SmCOZoeJLHLFs2TJSU1P56KOPeO+995gxYwbx8fHnfExiYiK5c+cGYOrUqVx99dVMmzaNN954gxEjRjBt2jT69OnDnj17AHNnaOHChY5/LSIS2DTeiIiTNOZIZqj4EkccOnSIjh078vDDD/Pbb7+RM2fOf33MPzehtm3bluTkZK6//no6duzIhAkTaNOmDVdccQXz5s0DICwsDK/X69jXICLuoPFGRJykMUcyQ8WX+N2OHTsoWrTo2b/v3LmTU6dO/evjTp8+fc7f4+LiyJEjB1FRURQpUgSAqKiocz73fBtaRSR0abwRESdpzJHMUvElfrd48WJq1qwJwKlTp9i7dy+5c+cmISHhnI+LiIjI9LXDw/UtLCJ/03gjIk7SmCOZpf+r4le//PILn3zyCZs2bSIhIYGcOXPSrl07xo8f/6+BKVeuXGf/e/r06axfv56ZM2cyZswYVqxYweLFi/nuu+/47rvvOHbs2L8+R0RCm8YbEXGSxhzJijCvFpRKgHjnnXfo1q0bcXFxGfr4LVu2MHfuXB544AE/JxORYKPxRkScpDFH/qKZLwkYDz74IBMmTMjwx0+bNo3OnTv7MZGIBCuNNyLiJI058hcVXxIw8ufPT5UqVdixY8clP3br1q3UqFFDU/IikiUab0TESRpz5C9adiiulJqaSnR0tO0YIhICNN6IiJM05gQ3FV8iIiIiIiIO0LJDERERERERB6j4EhERERERcYCKLxEREREREQeo+BIREREREXGAii8REREREREHqPgSERERERFxgIovERERERERB6j4EhERERERcYCKLxEREREREQeo+BIREREREXGAii8REREREREHqPgSERERERFxgIovERERERERB6j4EhERERERcYCKLxEREREREQeo+BIREREREXGAii8REREREREHqPgSERERERFxgIovERERERERB6j4EhERERERcYCKLxEREREREQeo+BIREREREXGAii8REREREREHqPgSERERERFxgIovERERERERB6j4EhERERERcYCKLxEREREREQeo+BIREREREXGAii8REREREREHqPgSERERERFxgIovERERERERB6j4EhERERERcYCKLxEREREREQeo+BIREREREXGAii8REREREREHqPgSERERERFxgIovERERERERB6j4EhERERERcYCKLxEREREREQeo+BIREREREXGAii8REREREREHqPgSERERERFxgIovcdzp06fZuHGj7RgiEgI03oiIkzTmyKWo+ApxZ86cYfbs2Rn62Pfee4/IyEj27t0LwK+//kqdOnUYNWpUpp5z7ty5hIeHk5aWxpAhQ3j33Xd58cUXM539Yl599VWmTJnC66+/ft73r169Gq/Xy5YtWzh58uQFP+dS1xGRjAvV8WbGjBm8//77DBkyhBMnTpz3sT/++IMPP/yQtLQ0n2YTCWWhOOacOXOGMWPGMGnSJD788EO8Xi+nTp1i1KhRTJo0ia5du5KcnHzex8QZKr5C3KZNm6hcuXKGPrZWrVq0b9+ecePGAdCoUSOeeeYZ7rnnnkw/Z8WKFZk4cSJ33nknffv2ZePGjSxatCjT+c9n9uzZeL1ebrrpJk6fPs28efP+9THXXnstxYsXZ8qUKcTExJz3czJyHRHJuFAcbw4dOsQXX3zBY489RkJCAhs3bjzvY7t27eLxxx8nPj6eokWLcuONN/okn0goC8UxZ8aMGVSrVo2OHTtStGhRfv/9d5YuXcqPP/5Ix44dSUpK4ueffz7vY+IMFV8hbs+ePZQsWTJDH7t9+3b69evH2LFjATh+/DixsbGZej6v10t4uPm227RpE+PHjwegXLly7N69O1PXupBff/2V2rVrA1C7du3zDijvv/8++/bt48knn7zg52TkOiKScaE43owfP54GDRoA8OKLL1K3bt3zPnbixAlSUlJISkpi0qRJDBo0yCf5REJZKI45efPm5eWXXyY5OZm9e/dStmxZGjVqxAcffABAYmIi9evXP+9j4oxI2wHEjm3btjFz5kx2797N8uXLufXWW7n88ssv+jlhYWFUr14dgA0bNpCQkEDdunUz9bxLliw5+wP+7LPP4vF4ALMM8NFHH+XYsWP06tWLXbt2ER4eTkxMDO3ataNHjx4Zfo7ExERy584NQJ48edi/f/+/PmbZsmUUKFCADRs20Ldv3/N+TkRExCWvIyKXFsrjzdq1a8mVKxfTpk1jzZo1PPPMM+d9rH379oB5wbdt2zYaNWqUqa9VRP4WymNO06ZNGTlyJFWrVuXll1+mQIECAKSnpzNgwAC6du1KsWLFLviY+J+KrxB09OhR+vXrx8iRI5k2bRqNGzemV69ejBkz5qKf99fdnHvvvZexY8dSvXp1rr32WgDWr19P3759efrpp1mxYgXXXHMNL730Ek8++SS//fYbDz/8MHFxcSxfvpyePXsCEBMTA8D8+fNp1qwZpUqVYtq0aYwYMYKJEycSERFBp06dCAsLO5th3bp1zJo167z57r33XgoUKIDH4yEiIgIwa5//+u9/GjBgABEREWzbto0ZM2ac93Mych0RubhQH288Hg/58uWjTZs2rF+/nh9++OG8j7Vp0waAQYMG0adPn8z9I4vIWaE+5uzbt4+rr76axo0b89JLL9GyZUtKlSpFoUKFePLJJ+nYsSOXX345TZs2Pe9j4n8qvkLQ2LFjadGiBSdPniR37twcOnTo7Cbvo0ePcuutt/5rg+q+ffsoVaoUAJ07d6ZRo0ZUrVr17PuPHz/OTTfdRMWKFalZsyYbNmygdevWNG/enDlz5pCUlERcXBwej+ecgebIkSPMnz+f559/HoA2bdqQkJBAREQEhw4dOudjAapWrXrO855PkSJFzm5qT0pKolChQue8f+TIkaSnp/Pggw8SExPD6tWrL/g5F7uOiFxaqI83xYoVo3jx4gDExcWxdu3a8z7Wpk0bvF4vP//8M//5z38y9o8rIv8S6mPOZ599xnPPPUeOHDkoW7Ys48ePp2/fvni9XsLCwqhcuTJfffUVTZs2Pe9j4n8qvkJQREQEefLkYfny5dStW5e33nqLvn37ApA/f36+++67f33OsmXLaNasGQDx8fFUqVKFAwcOnH3/ggULKFq0KGPHjuWpp55i3bp1FCpUiBUrVnDnnXdSpkwZNm7cSKVKlc657rhx43jmmWdIT09n7ty5tGjRggkTJtC2bVs++uijf+W42F2he+65h7i4OBo3bszSpUtp06YNS5YsoXnz5oBZz12mTBkKFizIlVdeefaxa665BuBfnxMZGXne64hIxoX6eNO8efOzezIOHz5MjRo1yJMnz78eA/jjjz84depUpv59ReRcoT7meL1e0tLSyJEjBzVq1CAhIYH+/ftz6tQp+vXrR0JCAtWrVz/vY+IQr4SckydPel955RXvs88+6x06dKh3zpw5F/34n376yVu7dm3v+PHjzz727bffeufPn3/27926dfN6PB7v3r17vV6v19uzZ09venr6Odf5+OOPvWlpaWf//umnn3pjY2O9BQsW9BYoUMC7evVqr9fr9Xbo0MHr9Xq9ffr08W7ZsiXTX9+ZM2e8jz/+uPfrr7/2PvXUU16v1+s9fPiw96qrrjr7/kGDBnmHDx/u/fjjjy/4Oed7TEQyJ9THG6/X633llVe8w4YN87777rsXfWzVqlXe2267LdMZRORvoT7mHD582PvWW295R40a5R09erTX4/F4N2/e7B09erR3+PDh3kceecSbnp5+3sfEGSq+QtiMGTN8cp1Vq1Z5W7Zs6d21a5fX6/V6161b573++uu9iYmJ53zc4MGDM3S9tWvXer1er3fbtm3elJQUn2QUEbs03oiIkzTmSKAK83q9Xtuzb2LHrFmzaNmypSPPtXfvXhYuXEjHjh0deT4RCSwab0TESRpzJFCp+BJHjBs3jrZt25InTx7bUUQkyGm8EREnacyRzFDxJSIiIiIi4oBw2wFERERERERCQVAVXzfccIPtCCISIjTeiIiTNOaIBIegKr4OHjxoO4KIhAiNNyLiJI05IsEhqIovERERERGRQKXiS0RERERExAEqvkRERERERByg4ktERERERMQBKr5EREREREQcoOJLRERERETEASq+REREREREHKDiS0RERERExAEqvkRERERERByg4ktERERERMQBkbYDiIiIiIgEKo8HkvfC4T/h2HZI3g+eM+D1mPdHREHuwpC3OMSWhIIVIFyvsOUC9K0hIiIiIiEvPQ02TICts+DAekjaBScPw5k08/6wCFNoReaEsL/WjoWB94z5mDNppijDaz42Ry7IUwTiKkLx+lC2OZS+WoVZqNP/fhEREREJOemp8PsI2Pgt7P8dUg6a4ipvSYgrD5ddA6WuNn/misv4dVOTYP8K2L8K9q2AxDWwdAjMf80UajlyQb4yULoRVL0dyjSDcG0EChkqvkREREQkJKSnwuL3YeVIOLgJIqMhvgrUuh9q3QeFqmT/OaJjocy15u1/Je2GP6bBlunm7fcRZvli7sJQsiFc2QvKXZf9DBK4VHyJiIiISFBbOx5+ecUUXDlymdmsNh+fv0Dyp9iSUO8h8/aX3Yth7ThTjI253ixZLFwdqnc2HxeVx9mM4l8qvkREREQk6KSnws8vwIphkJYMZZpDu8+gdGPbyc5VsoF54z3wpMO68bBiOMx9GWY9ZWbmGjwGdR7U8sRgoOJLRERERIJGciJM6QpbZ0JUbqjdDZq9BlG5bCe7tPBIqN7FvAHsXABz+8H0R2FmH7NH7PqBmduDJoFFxZeIiIiIuF5aCnz/gJk5ylscbvocat5lO1X2lG4M98wyM2IL3oLFg2HVKNMIpPX7UKyO7YSSWQFRfKWkpPDKK69QunRpihQpQqdOnQDYu3cvX3/9Nblz56Zo0aK0a9fOclIRcTuNNyLiJI05/ufxwI9PwtIPIWdeuOkL9xdd/ys8Epq+YN42T4fZz8DQehBfCW4eBSXq204oGRUQK0cnT55M/fr16dWrF2PHjj37+Ntvv01MTAxJSUnUrVvXYkIRCRYab0TESRpz/Gv9RHgzFlYMheavwdOHgq/w+l8VWkPP1fDIBoiKhWEN4NPakLDWdjLJiIAovnbt2kWhQoUAOHny5NnHN27cSI0aNbjrrrt44YUX/vV5Q4cOpV69emffDhw44FhmEXEnjTci4iSNOf6RmgQjr4EJt0GVjvDsMWj0tO1UzoqvBA8uhh4rweuFT2rAsIZwbKftZHIxAbHssFSpUmcHlZiYmLOPFylShNjYWPLnz8+RI0f+9Xndu3ene/fuZ/9er149/4cVEVfTeCMiTtKY43srhsMPj0BMAei+TPueitQwBdjuxfDN3TC4LFTrAu2HQWSU7XTyv8K8Xq/Xdoj/XQ89ffp0hg0bxpo1axgzZgz58+enSZMmNG3a9KLXqVevHsuWLXMotYi4kcYbEXGSxhzfSU+Fz6+FvUuhfi9o9Z5ar5/PqjEw/RE4kwbXvQFX9bGdSP4pIIovX9HAJCJO0XgjIk4K9TEnYS183sQcQNx1PhSqYjtRYPN4YFZfWPw+5CkCHcY6f6C0nJ/uF4iIiIhIwFo+FD6tBYWrwxN7VXhlRHg4tBoIfRMh/gr4ojkMuwqS99tOJiq+RERERCTgeDwwoRNM7QGNn4Ou87SHKbNyxZlzwrovgxOJMLAkzHnJdqrQpuJLRERERAKKJx2G1oZN38Pds6D5/9lO5G7F6kDvP+G6/rDgTVOE7Q3dVaxWqfgSERERkYCRlgIfVISj26HXJih3ne1EwaPR0/BUIhQoB59dCV/fagpdcY6KLxEREREJCCmH4f1ykJYMj22F/JfZThR8ovObJZx3fAdbZ8I7hWHPUtupQoeKLxERERGxLmm3Kbwic5olcrnibScKbpXawlMHzJLEYQ1gem/biUKDii8RERERsSrlMHxUFfIWg16bISqP7UShITIa7pkNN42EZR/D4HJwbKftVMFNxZeIiIiIWJOeCh9Xg+gC0HONOhraUOteePz/27vzOBvL/4/jrzkzxhhjMMbOyJZ9iZFdRbJGyZKlskdfSUqbFi1UhESbECFbyRqyZJdIiBCyLzN2McYY5/z++BT5ZZuZc+7rvs/5PB+P88As57yHcc39ua/r+lwHIV24FGC/TTSdyH+FmA6glFLKP7jdELdR9g7Eb4GTO+HMAUg8KRdXl5PgcjJ4ksHjgaCgvz8xSH4fFCzLjULCIF0EhEVCxlwQVQiyFYecZSBPrN4RV8qfuN3w+V1w+SI8/Qe49MrUmIgc8NQW+OE5mP4YHPgJGg43ncr/6Le4UkqpFHO74dBa2P4d7F8FJ3bAhZPyvnThkCGrFE45SkKWQpAxB2SIgvDskDE7pI8E9yVIvvh3UXZRPv+vI3DuiJxHc/4Y/HUIjm2FxPFwKQE8l+XiLCwrZI6B6OJQoBaUaKb7Q5RyonH3yTI3XWpoHw8MhnxV4dvWMs53WKmzkd6kxZdSSqnbcmoPrBki3bFO/QketxRT0cUh9kko8Yhs3PalpHOwbznsXwlHN8Khn6UAnPMkBIdB5vySoUQzeehddKXsa1YXOLgauv4KkXlMp1H/VrI55CwnjTiG5IEu6yBrQdOp/IP+WFJKKXVDJ3bCj6/Dnz/IzFTGHDLTVH8YFK4HLot3DodGQNGG8vi3xLOwYwbsmi8Hh26bLmfXROSC/NWgTFso1tT6vEqp69v2Hfw6Gh6dATlLm06jridbUXjuMIyuBiOKwWOL4I5aplM5nxZfSimlrpGcBCvegQ2jZAlgZH64qxNUfV72BNhRWCSUe1we/zi8HjaMhr1L4JuWss8sujiUagmVe8pZN0op6507Ct8+KuNKsSam06ibCQmDJzfAtJbw1X3QfIrMiqnU0+JLKaUUAKf3wbyesOt7CE4vywhrvy17q5woT6w8QPao7fwe1n8CawbD0jcgIjeUeBhqvSYzZEop33O7YXRVyFwAmnxhOo26XS2mys+HaS2h4Qio9JTpRM6lxZdSSgW4k7thRns4sEoKrUafQYVOplN5l8slB4oWayx/Pr4DVn8AW6fBuk9kdq9MW6jxssyiKaV8Y0Z7aazT+6DpJCqlGnwkN62+7yH/hrXfNp3ImbT4UkqpAHXuKExrBftXQLY74YmlgbOeP7rY33fdv5BCbNlbcsDoqvchugTUekWKMaWU9xxYA79NgEdnaXdSp6r5sqwUmN1ZOtI++JnpRM6jxZdSSgUYdzLM6Q4bx8iMT4flEFPDdCpzoovBI38fKHpoHSx6Cb57QjqxFX8I6g6EyHxGIyrlF6Y2gwL3XJ2BVs50VwfpdDulqZzb2GSU6UTOosWXUkoFkB2zYHpbaT7R+HOo0Nl0InvJWwmeWCxNR1YPktmwoTEyG1ZvCBSpZzqhUs60+BVIOAH/m2k6ifKGYo2h9RyY1FjOX2z6pelEzqFNd5VSKgAkJcC4OjD5ISjaGF46rYXXzYSEQq2+si+l20Y5IHpiAxicG34eIU0DlFK359xRWDUQ7n9P91T6k6INoM33sGm87OVTt0eLL6WU8nN7lsAH2SF+M3RcBc0n6eHDKZGzLHRcAc8dlSVTC3rDe5Gw6GUtwpS6HZOaSnfDqr1NJ1HeVqQetJ0HmyfIcm11a1p8KaWUH5v/LHx1PxRpAM/FQf6qphM5V0QOaD4ZXj4Hlf4Haz+E9zLB8v5ahCl1I3Gb4fA6aDnNdBLlK4XrSgH220SYpSsqbkmLL6WU8kPJifBZOVg3Ah76Clp+I+3WVdqFhELd9+Hlv6BCV+mUODArrB1uOplS9jOjg8we565gOonypcJ1ofUs2PilrA5QN6Y/ipVSys+c2Q9D8sHZQ/D0LijXznQi/+QKgfpD4eUzUKoV/NAbBuWA3QtNJ1PKHuI2w9FfoekY00mUFYo2hEcmwU8fwtI3TaexLy2+lFLKj+xfCcPvlIMwex+ELAVMJ/J/IWHw4Eh48RTkvRsm1INRVaXJgFKBTGe9Ak+pljIeLntTijD1X1p8KaWUn9i1AMbeC0Xqw1O/SVGgrBMaAW3mQNf1cD5OZh/n9dT9YCowndyts16BqkJnqDtIlh9uGG06jf1o8aWUUn5g23fwdUMo9xg8OsN0msCWuwI88yc0+Ag2jIJB0bB3uelUSllr0YuQOb/OegWqas9BrVdhTle5Maiu0uJLKaUc7vdvYVpziH1KD7q0k0pPwYsnIV8VGHcvfNMa3MmmUynle2437JwLlXqYTqJMuu8tKNNODmKO32o6jX1o8aWUUg62dyl801IKr4babc92QsKg7ffw6Cz4YzYMyq6zYMr//TZBbjRUfdZ0EmXaw+MgbxUYVRnOxZtOYw+2L75OnTpFjhw5TMdQSgUAp403cZthfF0o2UILL7sr1hheOAn5qsks2PR2uhdMOW/MuV0r35cDyfUwdwXQfhlE5ITPy0Fykuk05tniv0VCQgL9+vUjJiaGnDlz0qJFiyvvGzduHIULFzaYTinlT/xlvEk4DqOqQExNOfhX2V9IKLSdCzvmwDctYN9y6LQaIvOZTqZ8yV/GnNuVnATHt0nHO6VAzpjstgmGxsDIivL7QD530hZf+vTp06lUqRI9evRg4sSJV95+5MgRMmXKRMaMGQ2mU0r5E38Yb9xu+LwCROSCxxaZTqNSqlhjePYQhGaCYQVh0wTTiZQv+cOYkxKbxkJweoipbjqJspPQCOi2EU7ugmktbvnhfs0WxdeBAwfInj07ABcuXLjy9vHjx/PYY4/d8PNGjhxJbGzslcexY8d8nlUp5Wz+MN5MrA8XTsKTGwL77qGThUfB/7ZKQ4IZj8PU5roM0V/5w5iTEpsnyNlefiUxEUaNgvbtoXZtqFkT7rsPWraEF16AOXMgIcF0StvLHAPtFsCOGYF9Bpgtlh3mz5//yqCSIUOGK2+Pi4tjzJgxHDp0iNGjR9OpU6drPq9r16507dr1yp9jY2OtCexH3G44sw9O/AGn/oQz++Gvw3DxDCSdg6TzkJwAly5AciJ4/n1x4AGPR34bnE7udIWEQbrwq4+wLJApL2S5A7IWgujiEJlfLxiVOU4fb1a+B3sWQ5d18v9LOVv9oVDsQZj0IAy7A57cKIWZ8h9OH3NS6sgvULu/6RRecvIkNGkCq1dD+vSQLx/kzAmhoZCcDL//DitWwIcfwqVLEBEBJUpA48bQsydkyWL6K7CdO2pBnXfhh+cgT6XAnCG1RfHVrFkz+vXrR1xcHG3btqVjx46MGjWKwYMHs2bNGoKCgoiK0p9GqZGcCHt+lMHw2O9wag+cOyx3zS8lXC2mXCFSOIVGyFKY0IwQEg7pM0Gm3PK29BEQFAJBLggKksc/c6fJiXDxrBRsl85L0XbxKJzcCRcXy9uTE6+2WQ5OD2GZIWNOyFoY8lWGwvXlbpkWZsqXnDzeHNsGS/pCnff07Bx/UrA29D4En5WHD2Ogw3L99/UnTh5zUurYNrm2qNDZdBIviI+HggUhKgoWLZIZr1t9/IQJMgv2wQfwxhuQJw80bw5vvqmF2L9Uf0H2vE6oB88flWvPQBLk8fwzd+F8sbGxrF+/3nQMI9xuOLhaDrI7vA5O7IBzR6XgcYVA+kgIzy6zTlFFIGcZyHUXZC8FYZHWZj29Dw7+BEc3wvHtsv737AEp3kCyZi0Ed9wLpVtD3krW5lPqdlg93rjdMDiX3KzovMayl1UWcrtlSemeJdB0LJRrZzqRshMnXOP82A/WDYcXTphO4gWVKsGJE7BrV+ruCm/bBoMGwcyZcOoUFCsGr78OrVt7P6sDud0wJI+sjnryF9NprGWLmS+VcomnYeNY2DkP4jfDuTiZicoQBZnvgIL3Q4GaMpsUYbMutlkKyKN0q2vf7nbL7NyueXLxsWWSrAkOckGmPNLVrXJPmSVTKtBMbyt3lB9fbDqJ8hWXCx77ARa+KPvAjm6AekNMp1Lq9h1YJTeI/MKGDTKLldrlOCVKwJgx8vu1a+HVV+Gxx6B7d+jaFd55R5YvBiiXCzqughHFYPErUGeA6UTW0eLLIdzJ8Ntk+G0iHP5Zlg2myyh7qEq3hlKtZO2sk5fsuVyQs7Q8qveRt7ndsr9l6xT5dcskWbKYqxyUbSdLG0LCzOZWytcOrZP/A4/OgNBw02mUr9V9H3KVh+8eg9N7odV004mUuj3Ht0HxpqZTeEFyslyA1KnjneerXBkWLpSmHH37wiefwLBh0LkzDB0asEVYVGFo9AnM7Q6lH/XDRi03oMsObSw5EdZ9IjNcx7ZCUDBkLwFFG0FsN+kaE2iSk6SN7aav4MgG+TvKVQ6qvSAFqJOLT+UsVo03/yzNiC4B7X/0+cspG9m/CsbdBwVqQbsfdHwLdE64xnk7FFpOl+MUHM/lgt9+g1KlvP/cbjcMHAgDBsDFi9Kc4/33A/Y/+Ziasl3muaOB8VcQAF+is7jdcubLJ2Wgfzj8+Jqc5dNqJryWJAfT1RkQmIUXyCGlFbtCx5XQN0FaloZmkjvEA8JhYiMpypTyF4telGXGbWabTqKsFlMduq6H/SthVGVtRa/sLfE0uC9B4ftNJ/GSrFnhq69889wuF7z0Epw+Lc04RoyQ1xs3zjevZ3PtFkiztu9ufPKCX9HiyyZO7IQpzeDdjDCrA2TMIR2vXjkvewD84i6SDxSuK39PryZC3UFwaheMjJVT1Nd/rhcrytkST8PaD+WGS6B1g1IiZ1l4aqss5/q0lMz+K2VHRzfLCh2/2QpQuzZMmuTb1/inCDtzBh5+GDp2hKJFYccO376uzYSGQ7OvZWtJINxA1+LLsP0r4dOysuHwyAa47x3oewGeWAwxNUyncw5XCFR+GnrsgGf3Q55YmNcD3ouEJa9pEaac6ZvWEB4NVXubTqJMiioMPf6QDraflLx6ZIdSdnJiux8VXiDt4g8ehHXrfP9aoaEwdiwcOCBnhZUsCd26BdTFS/GmkL8aTGpiOonvafFlyO/fwId3wJe15DDirhug116o9pwUEir1IvPJBvWXz0Psk7DmA5lRXNI3oMYx5XDxW2H3AnjIR6telLNE5oGnd8L5eJnd17FM2c3JXXI2qN8oUAAqVoQnnrDuNfPkgV9/hVGjZAlijhxg831+3vToLBnjlrxmOolvafFlsf2rpOj6ppVsoO+1Fzr/BLnLGw7mh0JC4YHBUoRV7Q2rB8P7WWDdp6aTKXVrM56AHKVlaa1SILOg3X+Tjenj/WVfjfIbZ/ZDWFbTKbxs8mTYvh2++87a1+3QQc4YK1sW7r4bnnvO2tc3JDwKar8DK9+VmX5/pcWXRc4ehtHV4cuakOUO6H0I2s0L3MYZVnK5oHZ/eOkslGoJ856WAjgQ1hUrZ4rfKt+fTUabTqLsJksB6LxOlqxPbW46jVJXXbrgZ8sOAQoXhkcflfO5kizecBkeDkuWwBdfwPDhUKQIHPXjiuRv1V+Qa+Ov/bjXgRZfPuZ2w8yO8GF+OB8HnddC+6XSwVBZKyQUmoyC3ofl0OaRsTD5Yd3AruxnZgfIXgryVjKdRNlRztLwxBLYPgPmPmU6jVLCnQxB/nhV+dVXEBICLVqYef1OnWD/fvn9HXfAggVmcliozVy5Afmbj/udmOKP/01sY+9y+CC7HI7a9EvouUsvpuwgIgd0Wi3/uff+CIOiYZf/j2XKIc7sh8Pr5UaBUjcSUwNafgvrP5POrkqZ5nFLt0O/ExIC06bB7Nnw/fdmMuTKBX/8Ac2bQ4MG8PLLZnJYJHsJKN1aDl/2x/2tWnz5gNsNs7rAuHshz93wwgko97jpVOr/K9oAXjgOherCxAayhMcf/5MrZ5nXEzLnh3yVTSdRdle8KdzzBnz/FBxcazqNCnQeNwQFmU7hI3XryvLDRx6BkyfNZHC5YMIEGD0aBg2CWrX8+qKl6WhITpRmaf5Giy8vO3sYPioEm8dDi6myr8vv1kD7EVcItPpWDvjbNQ+G5oNTe0ynUoEqOQl2zoVaft7pSXnPvW9A4fow7j5IOG46jQpkoRkh+YLpFD40YQJkzw41a5rN0aEDbNoEGzbIPrBz58zm8ZGQMLm5tGYwJPnZl6jFlxftWiCFV0h62VdUUjdDO0bhutD7iOzFG14UNk0wnUgFouVvQ3B6qNDZdBLlJK1ny9j1eQW/vhGubC5jTkg8YzqFD7lcsHKlLP975hmzWUqVgr17ITER8ueHPf5517jmyxCWBaa3M53Eu7T48pIV78rStZIt5aDf8CjTiVRKhUXCkxugyrMw43GYZ3hsVYHn19FQ4hHTKZTTuFwydl04CV83Mp1GBaqIXHDpvOkUPhYTI4chDx8Okwx3g4iOlgKsYEEoUQI2bjSbx0eajIIds+DETtNJvEeLLy+Y2QF+fBUajoBmeiCq4z0wCJpPhnUfyyHYeidZWeH4Djh3BGq/bTqJcqKwLPD4YjmY+5eRptOoQBSZDy4lmE5hgbZtoVcvaT+/ebPZLKGhsvywZk05D2zNGrN5fKBYE+n+O81Qs0lf0OIrjcY/AJsnQOs5UElb/vqNUi2h2yZpdfpJSdn0qZQvLekLmQvo2X8q9fJVhuovwvf/g9P7TKdRgSZvZTnrKyAMGSIFT7VqcPq06TSwcCE0bChNOJYsMZ3G61pMhbjN0kXcH2jxlUput8yK7FsmB14WbWA6kfK2HKXkeICEYzCsICSeNp1I+bM/F2pXVJV2978L0SXgyxo6a6+slb0k4JFZ/ICweDFERUEFm2y2nDFDziJ74AG/K8Cyl4CYmjCro+kk3qHFVyqNvQcOrYOuGyB3edNplK9E5IJe++TskuF3QuJZ04mUP4rbAhfPQtXeppMof9BhuXQ+nKHFvLKQywXpMsLepaaTWMTlkiV/cXEy62QHX38NLVtCvXqwfr3pNF7VbDyc+lP2fzldiOkATvT1g3D4Z3hyo1Tjyr+FRkCPP2DEnTCiKPTYKc05lPKWVQMhMr/s2/Fb+/fD8uWwaxfs2wdHjsDFi3D5sjw8HsiUCbJmlbvJOXNC6dJQvbocMKpuW1gWaD4NJjeBck9IN1elrBCRC/avgNgnTSexSHQ0LFsGlSvDK6/AgAGmE0kBduqUjJ2bN0OxYqYTeUXmGCjaEOZ0k31gTqbFVwrN6iLnQXVcpYVXIAkNlwJseBHZA9bzTwgJNZ1K+Ys9C6FEM9MpvCg5GaZMgfHj5Tya48flbWFhkDEjZMkiBVZYGAQHy6ZxkL0TBw7A+fPy+OsvSEqSk1vDw6UgK18e7r8fHn5Yi7KbKNYYijWFac3hhRNypqFSvpb3bjj4k+kUFouNhVGjoFMnWYLY3AbnDM2bJ/vRKlSAHTsgXz7Tibzioa/gg+ywcRyUf8J0mtTTZYcp8NMwaQXdaoZsbFaBJTQc/rddWumOqmSPJd7K+ZIT4dxRqNjddBIvWLcOatSQoqpDB5ndat0a5syRWa4LF6QQ27ULfv5ZZsJ+/BEWLZLH2rXw++8yM3b8+NWZsQ0bYPBguZO7bRs8/zzkzi2vU7o0PPecXGCoazSfAh43fNvGdBIVKEo8Amf2m05hQIcO8L//yXi3davpNGLlSmmNX6GCnAfmB8KjoNSj8IPDl+hr8XWb9iyRf+w6A+SOogpMYZGy3PT4HzDpQdNplD/YPFEOVs5Z2nSSNNi5Uw79rFxZZqsmTpQf9ps2SVewevWuzm6llMsls11PPglffSXF2T8zY6NGyRk348dD8eKybLFBA/j+e69+eU4VEioF2O/fwP6VptOoQHDng+C+JPtYA87w4VClClStCmdtsEHc5YJffpEbWFWrmk7jNQ9+IXuk131qOknqafF1GxJPw9eNodhDUOMl02mUaVkKyIb23fNh6Zum0yin2zrV4UuY33pLCp+QEJl92rQJWrWSH/y+FB4O7drB7NkQHw9nzsBLL8myxQcfhAwZoGlT8+fwGFa0IRR+ACY31dl65XshoZApL6z90HQSQ378ESIiZCmiHf7DhYfLyoHff5dZOT8QGg6lWsHSN0wnST0tvm7D6GoQng1aTDOdRNlF3krQYAQsexN2LzSdRjlZ/GYocK/pFKn0+OPw5pswbJgUXUWLmssSGQl9+8KWLbJcsX9/ueAoX16WKA4caI+LIQMenSHnL83rYTqJCgRFG8POQJ18DgmBjRvlJlDTpqbTiAIFZA/Y1KmyfNsPNPwELpyETRNMJ0kdLb5u4Yc+cHIXdFrj+xu5ylkqdYfSrWX5YcJJ02mUU52Ph+IPm06RCn37SletH36AHja7qg8Jgd69ZTnk0aNQpw68/rrMhj3+OJw7ZzqhpULCoN5Q+GUknIs3nUb5u2rPwbkjAfxzMUcOOWfr+++hXz/TaUTt2vDee/DCCzIT5nBhkdLxcNELppOkjpYTNxG3BX4aAg1HQKR/NIpRXvbweIjICWNrmU6inOjweumwHlPDdJIU2rdPfpB//LEUNnaWIwdMmAAJCfD++3JBlCWLnIVz+rTpdJaJfVJ+jk19xHQS5e+yFYUM2WDpa6aTGFS1Knz6qSzLnjnTdBrRpw/ce68UYn7QgOPBkXA+DrZ9ZzpJymnxdQNuN0x4APLcDRW7mk6j7Mrlgg4r4MQOWPSy6TTKaXZ+L2cyOW5WvUMHKFxYmmA4hcsFvXpJF8UvvpCzeaKjpUNZcrLpdJZoMQ0OrNLmG8r3yj4Gv00yncKwrl3l0by5fbqxLlggKwPuu890kjQLj4ZCD8CCZ00nSTmn/ci3zI+vQsIJaLfAdBJld5ljoP5HsHognNhpOo1yksO/OHRWfdUqWXboVB06QFwcDB0KY8fKTNjo0aZT+VzeSlCwNnzzqOkkyt/d+6Y0K9uzxHQSwz77DCpWlE6wdljuHBICK1bIsSD9+5tOk2ZNvpCjDfYuN50kZWxRfCUkJPDCCy8wYsQIpk272tVi4MCBfPHFF/Tq1Yvt27dbludcPKwaKG3lwyIte1nlYJW6Q86yMKG+6STqVuw03pz4A7KXtOSlvGfPHjn4+LHHTCdJu6efli6J7drJHery5eHwYdOpfKr5VDlXbsMo00kCh53GHKuERUKeSjC/l+kkNrBypZxJWNkmB8SWKAHvvgtvvCHjuYNF5oPcFZ137pctiq/p06dTqVIlevTowcSJE6+8vW3btnTp0oX77ruPRYsWWZZn6iPyD1rtOcteUvmBtvPg7H5Y7vybSX7NTuPN+aOQu4IlL+U9GzZA+vQOXCt5AyEhcnd6+3Y5OywmBgYNMp3KZ8KjpE3zYl0mbRk7jTlWavwpxG+B4zZZcWdMSAisXw+7d9un3XufPlCypP337N6G+h/CkQ1w1kH3zWzx0/PAgQNkz54dgAsXLlx5e968eQFYu3Ytbdq0+c/njRw5ktjY2CuPY8eOpTnLkQ2yJv6RQF+rrFIsIhfUfFXazyfZYHWBuj47jTdJ5yFHmTQ/jbVcLukS4m+KFpXuiG++KeeFVasmTTr80IOfw4VTOvtlFTuNOVbKXQGy3QkzO5pOYgP58kmzn6lT5eB5O1i0CA4elA6IDhZTHTLlgQW9TCe5fbYovvLnz39lUMmQIcOVt3s8Hj7++GO6devG+fPn//N5Xbt2Zf369Vce/wxuafFtG8gTC/n95zBwZaF735AGCt+2NZ1E3Yhdxhu3G9yXIPddaXoa65UuLcsO/fXMrL595WDmnTshZ07ZG+FnQiN09stKdhlzTGgyGg6ukRvbAe+fdu99+sDSpabTSCfYESPk7K+dzt6wXvkZ2DHbOT+WbFF8NWvWjHXr1jFixAjatm1Lx44dcbvdPP/88yxatIgBAwYwZswYn+fYs0T2YDSf4vOXUn7sobHwx2xdamFXdhlvTv+91D4il89fyruKFoXgYFjox6eLlyoFR47I7FeVKn7ZjENnv6xjlzHHhJjqsvfr2/9O7AWmPn2gWTOoX98e+0u7dpXxrkkT00nSpOqz4EmGjV+aTnJ7gjwe/1k/Ehsby/r161P9+SNKSOvKjiu8GEoFpI9Lyd3lLmtNJ1G+ktbxZs8SmFAPXrvkxVBWKV4cihWzz/k1vtS3r2xO/9//YPhw02m86pvWsPdHeP6o6STqdqR1zDHl9D74qBA0HgkVOplOYwNutxQ8p0/DgQOyJ8ykffugUCH4/HPo3NlsljSY0ABO7Yan/zCd5NZsMfNlB4fWyVlNTfQuoPKCpmPg8Do5qFup6zl7GFzpTKdIpS5d5LwYp6zxSIv+/WHaNDkwtUUL02m8quFwOB8Pu/14ElOZl6UAxD4F3/eAJP/cRpkyLpcsZ05IsMd5WwUKyJmNPXs6+vDlOv3h5C5IOGk6ya1p8fW3+c9Iq/DoYqaTKH+QrzLkLAMz25tOouzqfByEpDedIpWe/ftUy3ffNZvDKo88AkuWwIwZULeu3xSd4dEQVRgm6hEZysfqD4P0meDrRqaT2EREBKxeDWvWwDPPmE4je7/Sp3f0ESK5K8ie+xXvmE5ya1p8IVXywZ/ggcGmkyh/0ugz2WR8Zr/pJMqOLp0Hl+HVJqnmcskyvP79ITnZdBpr1Kold6tXrIAHHjCdxmseGAoeNyQcN51E+TOXC9r9APuXw7pPTaexiVKlYOJEWc783Xdms7hc8MUX8O230gHRoYo3hbXDTKe4NS2+gEUvyB3AQs4/7kDZSP6qkDkG5j5lOomyo8uXIMjJI/CgQbJXoV0700msU748/PQTLFsGzZubTuMVxRrLz7/Fr5pOovxd7vJQ4xWY97Q2pLqiVSvZZ9WqFew3fKe2eXMoWBAefdRsjjSo+rzcTDpn832sTv7R7zW/T4O7dBOo8oE6/WHXfEhOMp1E2c3lJIcXXy4XfP21nFtjh7bJVilfHn78UZYgPuUfd1bKtYetk02nUIGg9ttynM/oqpDs3O1F3jVyJNx5p3RWNb2kecIEWQ65wZlnA+QoBWFZ4Sebz345+Ue/V/y5GC7+BbVeM51E+aMybSEkDFYMMJ1E2U1wiNyhc7TGjaFpU2jYEI4H0Lq1GjVkec5nn8mFk8Pd+wZcPKuNN5Q12i+XG09f3G2+1rCN1avh7FkZU02qWhUqVoS2zj2stMA9sO1b0yluLuCLr+VvS6ON0HDTSZS/Kt4MNjj/+kx5WboIcPvDdqlvv5XDOitVCqwrqaZN4fXXoXt32TTvYKERsln9x9dNJ1GBICQUntwAJ3dqs5crIiNh8WLpIjtkiNkskyfDjh2wapXZHKlU+WlpOW/nn69O3e7tNQd/ki48KgUSE+HXX2H7djh6VB7HjsGFC3DpkjwuX5bOORkzyqCSNaucC1SuHJQpA2Fhpr8Ky9z/HgzNC/FbZUpcKZALXjv/cLhtLhesXw8xMTIDNn++6UTW6ddPmnDUrSvjYESE6USpVv0FmN5W6mdXwN+WVb6WOQY6roFRlWBGe3horOlENlC5snSQ7dNHGvzExprJUbiw3Ezr3h02bzaTIQ0K1pZmVpvGw10dTKe5voAuvnbMAfclPfTvuhISYOFCaa+8YYNsBD11St5++bL8dA4Lk0d4uFx0hIVBcLBswg8OhjNnpCBLTJTPO3tW/ux2Q7p0kCuXdPupXVvODcqSxfRX7ROReeQHzYr+8MjXptMouwiPln1ffiE6WppQVKsmm7UnB9AGotmzIXduGcd+/tl0mlQr0RxoB79NgHKPm06jAkHu8tB6DnzdECLzQu3+phPZwAsvwKJFcv7XkSPmbuh88YXsb928GcqWNZMhDXKWh1/H2Lf4Cuj7W+s+huiSDm737C1JSfDNN9CmjdzxCAuTGasWLeTtwcHQqBEMGCAXWOfPSwF2/jycOCEntG/bJrNh69dLN7BVq+SO8JYtsGsXHD4M585d/bxp0+QueXw8vPWWzIzlyAHduskdZD9Tug3s/N50CmUnWe7wo+IL5E7pwoUyZnTpYjqNdVwuWL4cfvlFWu87lMsljRDWfWI6iQokRepBkzGw4l1d9nrF99/LTe06Bltwly0LpUtLJ0YHKv8EHPnFdIobC+ji69BPUOIR0ykMcLvlIqllS7ljmz69FF4//yybLUePlqIqKQkOHZJOZp98Aj16QPXqMiikRXi47Jf47DO5YPnrL/jzT2m1+t13kCeP3HFZvtwbX60t1HgRLp6RpYdKAWQtLA03/Gqb1L33wqxZMGYMPB5A0yfFislyoTfekBtNDnX303LB4lffk8r2yj8BTUbD8ndgSV/TaWwgJESuu9avN3uQ/aefSgYHnvtVrj0kX4CTu00nub6ALb7OHobE01DJPzoF35rbDZMmybKgsDCoX19mqpo3l9mppCSZoZowQbrcREVZm69gQTloMC5OisD06eVC7q67YM8ea7P4QFgWiMgNa4ebTqLsIjxafj17wGwOr2vYEH74Qcab++8PnCv5F16AQoVkbHWoUq3k162TzOZQgeeuDrLva8W7sOhl02lsoEQJGDgQXn1VrtFMqF5dboY/+6yZ10+D0HDIkA1+HW06yfUFbPH16yhInxkicphO4mNbtsjFQFiY3Il2u+Wu9KVLsHOnFDylbNYFIjYW1q6F336DixehSBHZ2O5wherC7nmmUyi7cLkgOD0cWms6iQ/UqSPLjletklnsJH9aX3kTCxbA1q0wapTpJKnickHOcrDBphcsyr+VexyajYdV78MPfUynsYHnnpOzv+69F5INdWfq00dWMzjwJlruinLOqh0FbPG1a760mPdbX34J+fPLut09e+Dzz6WQ+eknaNfOGe2sSpWC33+HDz+Ed96Bu+82NwB5wd094MwBP+lwp7wifWaI22Q6hY+ULy/tig8dkrunfjCDfUsFC0KnTnKn2IEXKwAlm8Ph9aZTqEBVpi00mwg/DYEFvU2nsYGFC+Xa7eGHzbz+009DUBAMHmzm9dOg5CNwfLvpFNfngCtw3zi2FYo2NJ3CB0aMgGzZZMP73XfD3r1yAdShgzMKrut5+mn5GnbskIubhATTiVIlbyVwBcMfc00nUXYRmQeO+mvxBdJ+/tAh+bVYMbmD6u8++UQaC/XqZTpJqsR2g6S/4FQA1MrKnsq0hkcmwdphMO8Z02kMCw+HefNg7lz46ivrX9/lgmbNYOhQ6187jcq0k31fdhzLHHo1njbJiXDxLJRpYzqJF61adXVtbqNGcPq0HH4aE2M6mXcULgz79snypZIlHbuMKUtB2BJAXbjVzWUvAyd2mE7hY2FhclzF44/DQw9Bbz+/nR0SIpvkP/3UkTeKwrLIfsR1I0wnUYGsVEtoPkW+D2fatF24ZWrUkJs5nTqZaejzwQfS9t7U3rNUCg2HDFGw4QvTSf4rIIuvXQvAlU7OXnK8pCSoVw9q1pQNmseOyd0RBx/2eUNZskhL+9OnZQ20A+Wv5qd7fFSqFKgBfzm3OV7KjBoFY8fKPtOSJeHkSdOJfOeZZyBTJukQ60AxNeGPOaZTqEBXsjm0+V4Oy53U1HQaw4YMkZU/tWtb/9p58shZjk2d94+Qszz8uch0iv8KyOJr5zyIyGk6hResXy9nY/38s7RlX7zYbw8qviIqSmb51q6VfWAOU7heAF1sq1sq1gQuJUDiWdNJLPL447B7t5z5lzcvzPHjK/w33pDusYmJppOkWNnH7LlURwWeIvWg4yrYPR/G1HDsVkrvWLJExk8TDcgaN5YjgRymSH17ri4JyOIrbhNE3Wk6RRoNHw6VK0tnwLg4mZYOFKVKwXvvyQAUH286TYoUexAuX4SE46aTKDuIyAUhYbDtW9NJLBQTI3tRW7aEJk1kI7mDG+nc0DPPyJLLV14xnSTFijYC9yU4bsOLFhV48lWGJzfCkQ3wWbkAblqVLx8MGgRvvy3dqq30+eey/2vxYmtfN43KtJVtRknnTCe5VkAWX2f2Qa5yplOkwYsvyg/2d9+FRYsgNNR0Iuv16SMDUbNmppOkSGiEXGzv/N50EmUXWQrCjgDoQ3ENlwvGjZNOXosXS5OgJUtMp/K+unUduVE9JBTCssJvet6XsonsJeDpP+RcxGGF5JzWgNSrF5QrJ8d5WCk0VJaLv/eeta+bRpF55JpryxTTSa4VkMXXhROy98aR3nxT7nyMHy+HegayiRNh9WrHtbAOj4ZD60ynUHZRsA4c+sl0CkPq1IHjx6FWLTmQ+dFH/WsWbPx4adP8vfPutmQvCXucdZNb+bnIfNDz75VvQ2Pg2DazeYxZtEhWPD1jcSvIrl1h5UprX9MLshSy3x7WkNv5oOTkZKZNm8aaNWsAOH/+PMHBwYSHh1O2bFnatGlDWFiYT4N6i9sNl5MgXxXTSVJh6lQpvr74Atq2NZ3GvOrVoVAh6NZNDjd1iMwFIP430ynszZ/GnFup9JR09EpKkO5MASc0FGbPlv1fjz4K2bPD5MnSSMjpwsNlaXi/ftDQWWebFKwN6z42ncI6gTTmOFl4FDzzJ3x5D3xWFh6d6afHBt1MVBSMHClHCHXtKlsxrNC9u8y8LVjgqPE5pibsstkRP0Eej8dzsw9Yt24dK1asoG7dupQpU+Y/79+9ezdz586lXLly3HPPPT4LejtiY2NZv/7mp0Oe2AkjisEbTtu0GR8vy+w6d5ZzZJQYOVI6iiUmOuYcs5kdYd8y6LnbdBJ7csqYczvjze3qHw513oUqgX6mTWKiFGCzZsE998DMmRAZaTpV2syZI13CLl6UNvQOEb8VPi0DryU7ZmhNtUAcc/zBzI6wcSw88AFU9fMTLK6rUiXpcL13r3WvWayYLD/87jvrXjON9iyB8XXh9cumk1x1yyE1LCyM3r17X3dA+uuvvyhcuDA9e/Ykf/78JDng7KWjv0KwE7dINWwo3cG08LpW587g8cAk52xOiCoKF06ZTmFf/jbm3I58VWDTWNMpbCAsDGbMgDVr5FD16GhpsexkjRtDunTSZt9Bcvx9Mz1us9kcVgjEMccfNB0jhdcPz8OszqbTGDBvnhxi//rr1r1m06awYoV1r+cFBe6Vy8SDNjrm55a34f49GB05coTly5dz8eJFPB4Ps2fP5ptvvgGgUKFCvkvpRaf3QjqnLe1ZuVIOKf1N16r9h8sld2EmTHDMUszsJSHpvOkU9uVvY87tqNILpjSTLl4u50yO+E7lynKYaN++srf1449lBqlECdPJUqdSJekW1tlZV4jpM8GfCyF3edNJfCsQxxx/UbU3RBeHyU1lD1iHZQE0hkZHSwOMF1+U5Yf58vn+NXv2lL4D8fFy1JEDuFxyvNRvE6Vzph2kaDHBwIEDOXv2LP+sVLzFikVbOnsQQjOaTpFCTz0FVapYt67XaRo1gnXO6WCR7U5p46xuzR/GnNtRrIlcMKz/zHQSm+nfHw4ehKxZZfxr0cKR52bxxBOwZYvpFCmWMacczRJIAmXM8SdFG0K3zbKX+qMiAXRuIsBzz0GRIlC/vjWvly+fnCc7fLg1r+clOcrAgTWmU1yVovsDdevWpeG/Ng2XLFnS64F87fwxafftGOfOyQ9th03zWurBB+H9902nuG2ZCwAeaf7i73sp0sofxpzbVbAOrB0Gd/cwncRmcuWSA+W//Ra6dJEf/G+95axur23aSPYdO2TPhENkyiurRQJJII05/iR7CXhmrzThGFZAzgXLUsB0KossWCDNxz7/HJ580vevV7GiLHl8+23fv5aX5K8uP1/tIkWXfnFxcTRq1IiOHTvSoUMHunTp4qtcPnP5osP2fI0cKR2zqlc3ncS+KleWSma3MzpY/NPR7txhszmcwB/GnNt1//twcrfMzqvreOQRaUv/7LOyHDF3bucc+BkeLkuExowxnSRFogrDXwE2TgXSmONvwqOkFX2WO6Sxmp1mOnyqQAFZIfXss9asDHjwQdi+3fev40XFmsrZcG6bNNtL0cxXXFwcH374IaF/H+o7YcIEn4TypctJ4EpnOkUKLFjgqDulRrhc0q5661YoXNh0mtsTBIln5NwSdWP+MObcrpylIVMemPcMtPrWdBqbcrnkcPkXX5SuiHXrwt13w/TpkCeP6XQ3V7y4NBJxkMwxcDGQlnARWGOOPwoJhSd/hckPwZc1odlEKN3KdCoLDBsme9/btYO/9yj6zGOPScv5o0dlZYID5Cwrvx75BfJWMpsFUjjzVa5cOQoVKkSBAgUoUKAAd999t69y+czlSw7bjLl/vxZftyMsDP7803SK2xYUBJcSTKewP38Yc1Lintfhj1mQrA3Vbi5LFpg/X5YjHj8O+fND+/Zg5050VarAH3+YTpEikfkh+YLpFNYKtDHHXz06Ayr3hG9bw7pPTaexgMsF48bJjShf7y+NioJMmeCrr3z7Ol7kckGGKNgxy3QSkaIy5J133uHll18mKioKj8fDtm3bOHr0aJpDJCQk0K9fP2JiYsiZMyctWrQA4Pfff2fy5MkEBQXRunVrihcvnubXcl9y2MzXX39BzpymU9jf2bOOarrhccO5ONMp7M8XY46V401KVewKPzwHi16E+kMtf3nnqVABdu2CL7+UO7GTJ8NLL0nrZbttqKxWDT76yHSKFMlSQFaLBJJAG3P8Wb0hkCEbfP8/2XJSpZfpRD7WpIkc6t60qe+3YRQrBj/84Ki9t1FF4MBq0yn+5kmBOXPmXPPnefPmpeTTb2j8+PGeqVOnejwej6dp06ZX3t6pUydPfHy8Jz4+3tOlS5f/fN7nn3/uqVix4pVHTEzMLV9rTE2PZ+x9XoltjQIFPJ7u3U2nsL+QEI/n7bdNp7ht/fB49q00ncL+fDHmWDnepMaP/Tyet9N7PJcu+uTp/dflyx7PK694PKGhHk/mzB7P2LGmE11r3z6PBySnQxz+1eN502U6hbUCcczxd2uGejz9gjye5QNMJ7HAoUMeT3Cwx/PRR759naee8njy5PHta3jZ7G4ez5D8plOIm94avHjxIidOnLjy50aNGl3z/vr/am154MCBVBeABw4cIHv27ABcuHB1jcPBgweJjo4mOjr6us/ftWtX1q9ff+Xxz3PcVJDMOjhGtmzWnl7uVOnTO2btMUCQC9I57cgDC1gx5lg63qRCrdcgOB388KxPnt5/uVzSmv7MGbkD3LEjxMTAkiWmk4mYGPn1+HGzOVIgLLPDfl6mgo45/q9KL2j4MSzpCz9aeB6xEXnywNNPQ58+kODDvQ0NGshZXw6SpyJcOHHrj7PCTYuv9OnTs2bNGiZNmnTNgPFvp0+fZuTIkezbty/VIfLnz8+xY8cAyJAhw5W358uXj+PHj3P8+HHy58+f6uf/t/SRcPEvrzyVNUqXhm3bTKewv8REuPNO0ylum8cD6TLc+uMCjRVjjpXjTWq4XHDf2/DLSOnOpFIoLEz2Ihw5ImPC/fdD+fL2GEeDguCETX7634ZAuEGkY05gqNQdmoyG5e/AQueslEudwYOlw2r79r57jQcegORkSMO1v9Viaspeezt0PAzyeG59guDRo0cZM2YM8fHxJCYmkpycTHBwMOHh4eTLl4/OnTuTOXPmVIf4/+uh582bx6hRo9i+fXuK1kPHxsayfv36m37M9Mfh8FrosSPVca21dCnUri0byUOc1CnEQufOyebPCxfkwsvm3G54OxhePANhkabT2JMvxxwrx5u0GJwHcpSGx37w2UsEhq1boXVr2YResyaMH391FspqwcGwdq3sy3CAs4dhaF54IwDOGdYxJzD8Ngm+ayezYQ8MNp3Gh6ZOlY6we/ZIK3pfiIiAgQOlzb0D/HPt9cxe82fA3Vbx5RS3MzDNfxZ+nwa9nXSWTni4nGvTt6/pJPY0caIsMbp40XSS23IuHgbnDIwLGn/m6wuhvUthXG3ouAryV/XZywSO5cuhUyfZiF63rnQGs3qpclAQHDgA+ZxxxsSZ/fBhAR2r7EKLL+/YOlW6IFbqAQ1sdPCu1xUrBpkzw88/++b5CxeGe+5x1PmFb4dCy+lQrLHZHDZrB+V74dkc2Dq3ZUsYMsR0CvuaM8d3d3Z84PQe2fOl1M3ccS8UrAOTm9pjmYTj1aoFO3fC3LlyQGjevPDQQ3DypDWv/89eLwftTU06DwSZTqGUd5VqCc2nwLoR0gnRb02ZIsdxLF3qm+e/4w57LOdOgdCMcMIGK99ueQl40qofTBbJmAOSnTFBctWIEdJyvn9/00ns6Z+lmQ5x7HcIsf/qSGP8bcxJi0dnQtJfMNcZqzqcoUED2acwZYrcEc6eHZo3930RtmCBNAZy0PLx83GBcaNIx5zAU7I5tPgG1n8Gc7qbTuMj5cvLtdFjj/nm+UuVkpl8BwmNgLM2WPl2y2G1dOnS/PDD1U0HFy9e5PDhwz4N5UtZC8t5D44SESFLDt94Qw5dVlfFx8sp6336mE5y245vk8Yv6vr8bcxJi9BwaDIGNoyE/StNp/EzzZvD4cNyRtiqVVKE1a8PB330k3nGDDkM2kESjoPLObViqumYE5hKPAytvpPxdVYX02l8ZPJkaT70qQ9Omq5Y0bqVA14SnF5uaJp2y+Lr+eefZ+TIkbz66qt4PB7Sp0/PoUOHGDBgAL169bIgonflqQjuZEh22sGRb7wBxYtDlSrSYUaJPn0gRw5Ze+wQJ3dDhmjTKezL38actCrTGoo2gokNITnRdBo/9PjjcnEydaosR4yJkcYc3l5Os2iRLHN0kLOHICS96RS+p2NO4CrWBFrPho1jYGYH02l8IDoaOneWayVvr18vU8Yxe+3/EZz+7+XUht2y+IqIiOCbb74hW7Zs1K9fn/j4eCpVqsQrr7ySpvbypoRlAYIgfrPpJKmwerWc21Cpkm4CAfk7mDoVevY0nSRFTu6Uk9bV9fnbmOMNj34HwaEwpobpJH7skUfkTMWFC2V/VqlS0qp+ypS0P/e4cbJ0/I030v5cFjq9F0IzmU7hezrmBLaiDaH1HNj0lZ8WYCNGwOXL8Oqr3n3ekiXlOizROXcF02WApHOmU9xG8fXTTz8B8Oyzz/LWW2/RuHFjlvx9aGW1atV8m85HQjPCgTWmU6RCZCT88gvs2AEVKugMWJ8+0j3sxRdNJ0mRvw5B7rtMp7Avfxxz0soVAp3WQNwmmOesew3OU6eOzHpt3Sobytu0gSxZoFs3WeKcUvHx8OSTcuZORISXw/rW2QMQltV0Ct/TMUcVbQBtvpcCzO/OAQsJgeefl8ZtSV5c9hUWJgdTbtnivef0sZAwOevLtFsWX6GhoQwdOpSdO3dSuXJl5s+fz7Bhw3jzzTdJly6dFRm9LiI3HFprOkUqFS4sFwZ79ki74kDdA3b8OHz0Ebz2mqM2sIMcnFuglukU9uWPY443ZCsKD0+An0fAhtGm0wSAEiXghx9kxqpjR5g+HXLnhkKF4K23bm+vw9q1UKSIdGMdOdL3mb3szAGIcE5zxlTTMUcBFKknY+zqD2DVQNNpvOzNNyFdOu+vFAoNleM7HCJduD06nt+y+Prss8949tlnyff3uSRRUVHMnDmTsLAwBgwY4POAvhBVRDrOOVaBAnDokOx1KlLEO8tinOaBByBPHnj5ZdNJUuTYNvC4IUaLrxvyxzHHW0q3gpp9YU5XOQdMWSA8XO4Yx8fLHd677oIPPoBs2WQ/xT33QO/ect7g4sXw7bcyG1+yJFStKsvEt26VO8QO89chyF7CdArf0zFH/aNMa6g/DBa9BNu+M53Gi1wueOcdGD0aznlx3V1oKBw75r3n87GgYOn7YNpt/zTIkCHDNX9+8cUXmT9/vtcDWSF/NTlrydEiImDzZjk0tHVr+SHvsK4zqfbCC/K1L1pkOkmKbZ8h+w4deB1mOX8ac7yp9ttQ4hEYXxeObDSdJsCUKiXF1dmzsj+sUyfZ8zBpkmxqr18f2raVDooxMdLKfvFix83O/+PCSchd0XQK6+iYowAqPw0VOsM3reSgcb/xzDNy6HLHjt57zvTpr55h6ACXk6TphmlpugSsUKGCt3JYqthDsvTLL3pWfPopbNwoM2E5c8LTT/v3XrDRo+Wu85gxULSo6TQptmexHHegUsepY463tZgKBe6F0VXguA0OjAxIBQrA++/DihXSLfHCBbh0STafx8fD/PkQG2s6Zaq5k2V5TqAvkdYxJzA9OBKyFYNRle0xU+I1w4bJDaT4eO88X1iYo2a+LidJ8yrTAvL+e87ScnDk3h9NJ/GSsmVl79eAAXLHNVMmWfbizY2VdvDJJ9ClC7z+urSHdqCjG6HwA6ZTKH/QbgHkiYXPysKhdabTKH+zb7ks0cla0HQSpczovEY6433d2HQSL2rbVrZseOvg5XTp5KaTQ1xOgmAbbOMMyOILIFMe2DLZdAov69NHlsP07i2tRTNmhKZNwR9a5bZvDz16QP/+0K+f6TSpkpwIF05AeX9sZass53JBx5VQ8H4YUw12LzSdSPmTnfMgY3bTKZQyJzQCHl8Cfy70swYcI0fKkRp7vLD/JijIUcvI3Ml+sOzQyfJVgf3LTafwAZdLCpS//pIliZs2SbvkmBjpDOjNjZZW2LJFsk+aBLNmOa7Bxr9tHCdtTrM5b7WksrG2c6F0G5hYH7YEYO8d5RsHVkOUjlUqwOWtBHUHweKXHXpE0fU0aCDN2tq1S/tzuVxyhphDuC9BiC47NKdUKzjl9KYbN+NyyQbwvXth+3aoXl3W+kZGSrv6Z56x94xYfDw0bChLKnPnlj1tjZ099795POQsbzqF8kcPj4MqveDb1vBjP9NplD84tgWKNDCdQinzqvaGwvWlyVHiWdNpvOTLL2HNGunEmhbJyY5qKHT5Eri0+DKneDPwXIY9S0wnsUCxYjJzdPYsrFolrY8nTZIZschIKcz694fDh00nheXLoVo1yJVLOhrOmCFn5URHm06WZkc2QNm2plMof/XAYGj0Kax4G8bV9rNN4spSCcfh4lm4S5dIKwVA69kQllmaHPmF6tWhdOm07/26cAGyOuckdvclCNFlh+a4XJClIPzivHMv06ZqVZg8WWaWjh2DV16B4GAYNAjy5pXONXfcAY0awXvvpf2uyK0kJsodmHr1pH3+vffK2+bMgYMHoUkT376+Rfavkj1fFTqbTqL8WeyT0OUXOLwehub3szbJyjK/fin7XQLhgGWlbofLBZ3XwsndMNOLndqNmjBBumWvS0PHposXISrKa5F8zX0J0mW49cf5mnPmCn2gaCPYMsl0CoOio+Gll+QBMjM2b55sxPzlFym+XnkFPB7IkEHubuTOLWuFCxSA/PmhUCFZxpg9u8yi/f/pZ7dbCr3t2+UU9D//lBmtP/6QmbZz56TgK1pUuhj26CGHmvqZFQMg252y50spX8pdHp47DKOrwUdFZDasQifTqZSTbJ0CubTDulLXiMwHLafB5IegUB0o4/SVLGXLykqoJ56A339P3XMkJTlqZdLlJEgXYTpFgBdf1V+Enz+C0/sgSwHTaWwgMhJatZLHP9xuKZpWr5Y7JNu3SxOPZcvg/HmZpUpOlgLtZoKDpcjKmFEKuNhYmYVr0ECKNz+390e4903TKVSgCI2A7pvhh+dgTlfYOBbazZO3K3UzbrccidHc37oBK+UFxZpA5WdgRnvIWwWinH75MmGCbE1ZulRWHqVUUhLkyOHtVD5z+RKkz2Q6RYAXX5F5ZFnFiv5yoJ66DpdLZqWKFpW7IzeTnCyzZ//MZoWHy8MVsKtbAdg+Ey5fhMpPm06iAs0Dg6HMYzChHgzKAc0mQomHTadSdvbbBDkHs3gz00mUsqf6Q2H/ChhdFZ476vBLnKJF4Z57oFMnudGeEm63nPF1992+yeYD7kv2uAnp5G8ZryjRDLZNN53CT4SEyNrfmBi5ExIR4fBRyTuW9YN8VXXJoTIjd3l47giUbAFTH4ExNSDhpOlUyq5+/lgO79ahW6kba78cLiXAtBamk3jB+PFy5tesWSn7vM2b5ZyvXM7ZHOq+DKE2mPkK+OH13jfhwkk4lIb9hkrdSOJpOLoJar9jOokKZC6XtKPvul6acAzOCcveMp1K2U3iWTiyHmq8YjqJUvYWGg6tZ8H272DrVNNp0ihfPjnap2vXlH3emjWO26PvTpaulaYFfPEVHg3RxWBJX9NJlD+a3wvCs8Ed95pOohTkrgDP7od7+sHyt2FIXti71HQqZReLX4KwLFDM2UcqKmWJgrWhfHuY2QGSk0ynSaMJE+DECRg8+PY/Z906abbmIJ7LkF6LL3uo0VfO+0pONJ1E+RN3snTTrPaC6SRKXatWX3guDqJLyplgX9ytbemVHARf8UnTKZRyjgdHgSsEZrY3nSSNsmSBp5+G116TJhq3Y80aqFjRp7G8zeOWG0ymafEFlGsH6cLhxzdMJ1H+ZHl/2bhe9TnTSZT6r/AoeHwhdN0gy2OHFYRpLSHpnOlkyoQNo+HSBZkVVUrdHpcLmoyGLZPh+A7TadLogw9k7/7tLj/cswceesinkbzN44H0kaZTaPF1Rfn28MtnplMof+F2w+pBUKGrblxX9pa7PDz9Bzw8QY5EeC+LHCKqKwECy8I+UKoVhISaTqKUs5RsDrnKweSmppOkkcsFn3wCX30F27bd/GN37JADlps3tyabt3ggLKvpEFp8XVF3oHSu+XmE6STKHyzrJ1116qVg+bRSJpVpDX2OQYOPpAPsu5Ewr6csn1X+beV7MuP54BemkyjlTI/OhJM7YcMo00nSqF07qFBBzmC9mf79IX9+OVbIIZIS5NfwKLM5QIuvK0LCoFRrWNrPdBLldO5kWP0BVO4pa8GVcpJKT8ELJ+G+t+DXMfBuJljQ2w82lKvrcidL58u7e0gHN6VUymWOkZUu83r6wVj5/fdw+DD873/Xf7/bDd99B23bWpsrjeJ/k60gdrgu0+LrXxqOkL0P6z83nUQ52ewu8p+7zrumkyiVOi4X1HgJXjoLVZ+HDV/AuxHwbVsZI5X/mNtDjuqpO9B0EqWcreHHEJwOZjxhOkka5cghZ399+qkUWf/f0KGQmAhvvml9tjSI32Kf81a1+PqXsEjZ+7WwjxT2SqXU2YOw6StoMFz3einnc7mg9tvw4hmoNwT+XAgDs8H4enB6n+l0Kq3iNsOGkdDoU3vcDVbKyf5pvrF1Chy7xZYp22vVCrp3lz1dM2deffvu3fDyy/D88xDqrA2iRzfaY78X2KD4Onr0KC+//DLvvfceK1asuOZ9r776KmPGjOGpp54iPj7ekjwNP4HLl2Dxy5a8nPIzkx+CLAWhvNPvfPkxu405TuByybK0PvHQfKrsbRhWED4pAzvmmE6nUsPthgn1IF9VKPe46TT+S8ebwFKyOeQqD1MeMp3ECz7+GJ58Eh5+GCpVgpYtoWRJKFsW3nXe0p6jGyGqiOkUwnjxNWrUKJo1a0afPn348MMPr3lf9+7d6dixI8WKFePnn3/+z+eOHDmS2NjYK49jx46lOU9IKNz7Bvw0BBKOp/npVADZOA6ObIDWs00nUTeT2jHHF+ONE5V8BJ75E7r8DBmiYEpTeD8KFr2sHRKdZP7TcOEUtJ1nOol/s9s1jvK9R2fAyV1+0HwDpPvh0qUyy7V5s8x4Xed71QlO7Yac5UynEJYuNNiyZQuvvvrqNW/LmjUr2bNnJzg4mHPnrj1gJm/evCQnJ7Nv3z66d+/+n+fr2rUrXf91HkFsbKxXctZ4CdZ9IrMYHVd65SmVn0s6B3O6yQGl2UuYTqP+4c0xx1fjjVPliYUOy+R7f9GLsG6EHK9Q6H6oPwyii5lOqG5k73JY9yk8NFaW2yvvcMo1jvKtfzffKPu4HxzfUKsWrFplOkWauN1wPg5KPGw6ibC0+CpdujQzZsy45m3vvPMOx44dIyYmhoiIiGvel5SUxPDhw3n99deJi4sjf/78lmVtNR2+uBu2z4TiTj+7Qfnc+HqQPpNsuFX24aQxx6lCI+T7vuHHsGkCLH8LPi4BUYWh1htyiL2yj7OHYcIDUKKZLjf0Nh1v1D8afgxbvoYZj0PzyabTqIOr5deYWmZz/MP4ssNOnTrx7bffMnDgQHr16gVA+/btAWjTpg2//vorL730EjP/veHPAnlioUwb+Lb11bMBlLqenz6EQz/B40u0yYYT2HXM8Qfl2smBzf/bBlmLwMz20qp+7lOQeNZ0OpWcBCMryL7U5lNNpwkMOt4EJpcLmoyBrVMhfqvpNGrjOIjIbZ9rtCCPx+MxHcJbYmNjWb9+vdeez+2GwTkheylov9RrT6v8yImdcpf/3n5Q69VbfrjyI94eb/xRcpIcOP7L59KiPl816ZqYt5LpZIFpVFU4vg16H5QZS+UsOuY4z2flICgYntxgOklgG5IPCj8ATceYTiJsUgPak8slm5H3r4CfhplOo+wmORFGVYbcFbTwUup6QkKhzgB44QS0mgkXz8j/maH5Ye1wPdLDStNawJH10GmNFl5KWaXJaOmyd3yH6SSBK+kc/HUIqvQ2neQqLb5uIU8s3Psm/NAb4raYTqPsZEwNOZy0gzZlUeqWijWG7pvh2f2Qrwr88DwMyAjT28E57bLtU5Mfgu0z4IkftSGQUlbKEwvZisGszqaTBK4VAyB9JOQsbTrJVVp83YZar8pZKF/WkApaqVmdIW4TdP7ZDzoZKWWhyHzQYhr0vQD3vQl7FsPgXPB5Rfhzsel0/mdiI9g5F9ovh5gaptMoFXgafQwHVsHZg6aTBKZN46DYQ6ZTXEuLr9v0+BJIlwE+r6BLZQLdsrdg45fw6Ezp6KaUSjmXC6q/AM8dgQ7LITgdjK8Lg3LI/zF3sumEzuZ2w/gH4M+F0HE15K9qOpFSgalgbWk/r7Nf1ju5G/46DLXfNp3kWlp83aaQUHjyVzh7AL5uZDqNMmXjOFjaDxp+AkUbmk6jlH+IqQGdf4I+x+HOxrDyPeifQZbLnd5nOp3zJJyEEUVlv3Lnn7TBiVKm1RsqN0ISjptOElh+fA0i80vxaydafKVARC5ZurFnEXz3hOk0ymq/TYKZHaBmX4h90nQapfxPeJR0o3r5nJyTc3QjDCsIH5eE3781nc4Z9q+Coflk5vCZfdIQSCllVomHIWMOmK3XDpb6Yzbc1cl0iv/S4iuF8laCNt/DbxNg3jOm0yirbJkC37WDas/bb/paKX/jckHFrtBrL3TbKOezfNNSzgyb2QHOHTWd0J5WD4axtaBgHei5ByJymE6klPrHAx/Ajhm698sq22fCpQSo8aLpJP+lxVcqFK4LzafAuhFyeKjybxtGyWHbVXpB3YGm0ygVWHKWhScWwyvnoXIv2DUfBueBEcVhw2jdgwuylOmLu2HRC1DnPWgz2z6HiSqlRJm2kOUOmNbSdJLAsKyfnC0ZEmY6yX/p8JxKJZtDy+lyeKguQfRfy96C2V3hnjfggcGm0ygVuELCZNb5uSPQdYNcxMztBgPCYfLDgXuOzqpBMDg3nI+DJzdB9T6mEymlbuSRyXDwJ1kerHwn4SQc3QT3v2s6yfWFmA7gZMWbyhLESY3h9F45Q0XvNvqPGe1h83ho/JksgVJK2UPu8tBuvsx6/fwRrP0IPi4uG6srPSXLg11+/tPt5G6YWB9O7YGar8J9/UwnUkrdSt5K0v1wykPwXJxeM/rK4lcgPJt9j9fQf/Y0KlIPuv4KR36B4UUh8bTpRCqtkhPhs/Lw29fQeo4WXkrZlcsly4Gf+ROe2Qv5q8ls9TthMPY+2LvUcEAfOHsQxtWRnzchGaDXfi28lHKSR2fJXqSZHUwn8V9bJ8FdNm7tr8WXF+QsDT3/BPclGJIXDqwxnUilVvxW+Tc8exB67ICiDUwnUkrdjiwFoPlk6JsAD4+DCydgXG14LzNMbyczRE529jB8VReGxshKi3YLoPtmiMxjOplSKiVCw+HhCbKyRpcfet+OWZB0Dmq9ZjrJjWnx5SUROeTO6x33wZc1YImN/9HV9a0eDJ+VhWzFofdByFrQdCKlVGqUaSuFyctn4e4eMgP2USG5sTK7myzZc4q9S2FMTWkff3IntJkLz+yWxk9KKWcq8TAUuh+mPKxNg7xtaT/IV1WKXLvS4suLXC5oMwcaDIeV78KnZfVAPSdIPAujq/3dKexd6LTKnt1xlFIpExoBtfvLzZSef0LhevDHTBheBN7PCl83lvP73Mmmk14r4aR00n0/q8zeXTonP1t67dXZeKX8RavpcPEsLHzedBL/kXBSzoe8/z3TSW7Oz7ckm1HpKSjaCMbeIy2R6w6CKnommC1t+kq6GWaIkk5hOUubTqSU8oWsBeUAZ5CbYmuGyPKUGe1helvIlBvyVoaiDaWbbVgWa/PFbYafR8DuH+DMfhmTyneAe/pBWKS1WZRSvhcaAfWGwLynZe9q5hjTiZxvfi8Iz27fRhv/CPJ4PB7TIbwlNjaW9evXm45xjSV9YeV7kLWQnA2Wu4LpRApkT9ekpnD0V6jUHeoP165DKmXsON6o1Dm8Hn4ZBfuXwel9kHwB0oVD1sKQowzkqyJLhLIV88444U6GPxfD7gWy5yP+N2n0kyk33FEHKj8tXdGU+jcdc/zTiBIQnE6WSqvUcyfDgIyygqlqb9Npbk5nvnysdn+I7Q5Tm8PIWLjjXjnnISKH6WSByZ0M83rK+WxZC8NTWyF7CdOplFIm5YmVxz/OxcO2b2DXAji8Dv6YBfP/Xr0QGgEROSE8hzS7iMwvs1RhWSBDNghySSez5Atw6YLc6DmzD/46DAnH4Hy8bAZ3hUB4tOwxfeADKNfe3nsUlFK+0WYOjLgTfv0S7tIOiKm27C0ICobKvUwnuTUtviwQmQ86/wR7l8N37WBIHijfHup/pD9srbRqkJx4DtDoU20hr5S6vogcsny80lNX3+Z2w7HfYc8iOPKrFFXHtsGB1ZB8ES4nScdbkAIsKBhcwZAuoxRnEbkge0nIdRcUayLdGZVSKqowVHwSvn8KyrTWPeep4XbDmsFQoYszVjFp8WWhO2rBs/vhl5Gw8AXYOBaKPwQNP9GZMF/6aRgsexOS/oJKPeCBQf5/AKtSyrtcLtkTqvtClVLe1mAEbJ0CU1tAm9mm0zjPwufB44F6g00nuT0OqA/9T8Wu8NJpaPy53DUdnEsOBI3bYjqZ/3Anw4+vyxk/C5+H4k3hxTNQf6gWXkoppZSyD5cLmk+FnXP17K+USkqQZkX3vO6c6zuHxPRPFTrJY+c8WPAsfFZGlqbc1Rlq9dWp59Q4uVtmFf+YLf8Jy7eXbkL6d6mUUkopuypUBwrWhqnNoPcRZyyfs4PvHpO9uDVeMp3k9uk/rQ0UbQA9tsOzh+QcmrXDpGPLyFhZomi3M2jsJumcdJUckk/O7zm8DuoPg5fPQaNPtPBSSimllP21nA6JZ2BeD9NJnOHPxbD9O2g2wXSSlNGZLxuJzAMPjZXHjjmwepB05pvbHaJLQJm2sikzPMp0UvOSE+HXMdK1MO43SJ8J7mwKtd/WjexKKaWUcp6wSGg6GqY/BmUfg/xVTSeyr+QkmSUs1kTOZ3QSLb5sqlhjeYC0O/7pQ1j5Lix5BcKyQp5KUPpRKNUqcDomHtsmzTN2z4MzByAkvRyK+vgimapXSimllHKyMm1h03j4uiE8FwchoaYT2dO0FvJry2/M5kgNLb4coEg9eYC0N17/OeycIzNiszpC+kiIulO6KRauDwXucf5/VrcbDq6BLZNh3zI4uUvOzYnIDQXvhyo9rz2XRymllFLKHzw6S5qxja4CT24wncZ+fhkpe/sfX+ScJhv/5sDIgS0ynyytq/22/PnsQfhtEuz+ATZPkJkhz2UIySCFSnQxyHM35Lsb8lax55LFpHMyu7d3KRz9FU7tloNIATLmlHNxYrvL3aCwSKNRlVJKKaV8KiQUuv4CHxeHbx6F5pNNJ7KP3Qtl8uHefs5d9aTFl8NF5oPqfeTxj7OHYdc82L9C9kOtGwErz8oBoEEuKcz+OfQzY07IlFueJ8sdkLUwRBWF8GjvdNpJOA7Hd0hBdWoPnD0Ap/6UojHhuJy95U6G4FAIzy6vXaYd3NkIYmpptx+llFJKBZ6sBaHtPBhfF5aVlFbqgS5+qyzHLN3W2X8fWnz5ocg8V9vY/5s7Wc4SO/yzFGUnd8Jfh+HYVrh4Fi4lwOUkmTn7R5BLHq6Qv6d2gyAo6F9P+vfvPZfhcjJ4ksHjlseVDwmW4ipdOKTPLMVe3iqQoyTkrij7tnRGSymllFLqqoK1oeEnMtNz+dLVVU+BKOE4jKos14zNvjKdJm1sX3zt2rWLJk2a8Pvvv5uO4niuEMhdXh63kpwoS/8SjkPCCbhwEhJPy+wZyEniHjfw96+hERCWRZqBhGeDDNnk19AIn305SvmEjjlKKavoeKNuJfZJuYE9u7NckzX+1HQi653YCV/Eyoqt9stNp0k748XX0aNHGTZsGJkzZ6Z69erUrFnzmvdPmzaN3LlzG0oXuELCIHOMPJTyJzrmKKWsouON8oa7OsgN7SnNIOGYMzv8pdbuhfB1I9n/32mVf2xHMf4ljBo1imbNmtGnTx8+/PDDa963ceNGypYtS9A169yuGjlyJLGxsVcex44dsyCxUsrJUjvm6HijlEopvcZR3lKsCbRfCjtmwcclZRbM360dDhPrQ6lHoctaZ3Y2vB5Lv4wtW7bw6quvXvO2rFmzkj17doKDgzl37tw175szZw6vvvoqQ4cOve7zde3ala5du175c2ys9h5XSl3lzTFHxxul1M3oNY7ytZga0HMXjL0HhuSFpmOhTGvTqbzP7Ya53WDDKKgzAGq8ZDqRd1lafJUuXZoZM2Zc87Z33nmHY8eOERMTQ0TE1Q1Cp06d4ty5c3z22WccOnSIqVOn0rJlSyvjKqUcTsccpZRVdLxRVsgcA8/sgblPwfS28NvX8Oh3/jMrdGANTHkYEk9Bq++geFPTibzP+LLDTp068e233zJw4EB69eoFQPv27cmaNSvvvfcehQoVIigoiKgoGx5QpZRyHB1zlFJW0fFG+UqjT+CJpbBvGQyMho3jTCdKm+REmNQUxlSHHKXh+WP+WXgBBHk8Ho/pEN4SGxvL+vXrTcdQSgUAHW+UUlbSMUddT3IizOwIW6dIN8BGn0OxxqZTpczGcdJOPyQMmk+BwnVNJ/It4zNfSimllFJKqZQLCYNHvobn4yBneZjcBD4qAvtXmk52c243rPsEhsbArI5Q7gnoc9z/Cy+wQat5pZRSSimlVOqFR0PbuXBmP3zbFr6sJfvD7uoI1V+QIs0OEk7Cwudhy2RwJ8OdjaH+ysA62kiLL6WUUkoppfxA5hjouAKO74AfX4PVg2BpP8hZFqo8C2UfM3NW1t7lsOhFOLRWCsUaL0HNV/ynUUhKBOCXrJRSSimllP+KLgYtpsrv/1wMy9+B2V3kkbcyFLofSjaHHKV88/pHNkir+D2L4dSf4L4MucpBuwWBsbTwZrT4UkoppZRSyk8VqiMPtxs2jYNfRsLaYbDsTQhyQUROyF4aCt4HxR+GqKK3NzvmdsPZA3BsKxzfDsf/gP3L4eQuWVIYkQvyV4M670GxpmZm3OxIiy+llFJKKaX8nMsFd3WQB0jxtPdH2DETDqyGle/B4pevfnxQsCwLDE4HwaEQkgHwwMWz0mXRnfz386aDdOEQlhly3QX3vAElHwnMJYW3Q/9alFJKKaWUCjAu19VZsX9LToRzcfDXYTh3FM7HQ8JxuHBC3h9VBKKLy2xZRA7rczudFl9KKaWUUkopQDojZikgD+V9uvpSKaWUUkoppSygxZdSSimllFJKWUCLL6WUUkoppZSygBZfSimllFJKKWUBLb6UUkoppZRSygJafCmllFJKKaWUBbT4UkoppZRSSikLaPGllFJKKaWUUhbQ4ksppZRSSimlLKDFl1JKKaWUUkpZQIsvpZRSSimllLKAFl9KKaWUUkopZQEtvpRSSimllFLKAlp8KaWUUkoppZQFtPhSSimllFJKKQto8aWUUkoppZRSFtDiSymllFJKKaUsoMWXUkoppZRSSllAiy+llFJKKaWUsoAWX0oppZRSSillAS2+lFJKKaWUUsoCIaYDHD16lGHDhpE5c2aqV69OzZo1r7xv69atLFu2jOTkZCpVqkTVqlUNJlVK+QMdc5RSVtHxRin1/xkvvkaNGkWzZs2oUKECLVu2vGZgGjBgAPXq1SM+Pp5SpUr953NHjhzJyJEjr/z52LFjlmRWSjlXasccHW+UUiml1zhKqf/P0uJry5YtvPrqq9e8LWvWrGTPnp3g4GDOnTt3zft++eUXPvjgA/bv38/QoUN54403rnl/165d6dq165U/x8bG+i68UspxvDnm6HijlLoZvcZRSt0OS4uv0qVLM2PGjGve9s4773Ds2DFiYmKIiIi45n05c+YkMjKSrFmzcvLkSQuTKqX8gY45Simr6HijlLodQR6Px2MywJEjRxg2bBhZsmS5sh66ffv2jB07loULF7Jy5UouX75M27ZtKVGixE2fKzY2lvXr11uUXCnlRN4ac3S8UUrdil7jKKX+P+PFlzfpwKSUsoqON0opK+mYo5R/0FbzSimllFJKKWUBLb6UUkoppZRSygJafCmllFJKKaWUBbT4UkoppZRSSikLaPGllFJKKaWUUhbQ4ksppZRSSimlLKDFl1JKKaWUUkpZQIsvpZRSSimllLKAFl9KKaWUUkopZQEtvpRSSimllFLKAlp8KaWUUkoppZQFtPhSSimllFJKKQto8aWUUkoppZRSFtDiSymllFJKKaUsoMWXUkoppZRSSllAiy+llFJKKaWUsoAWX0oppZRSSillgSCPx+MxHcJboqOjueOOO1L8eceOHSN79uzeD5QKmuX6NMv12TlLdHQ08+fPN5jIt1I73oC9/91M0izXp1mu799Z/H28Ab3G8TbNcn12ygL2yuOtMceviq/Uio2NZf369aZjAJrlRjTL9WkWZ7LT35VmuT7Ncn2axXns9PekWa5Ps9yYnfJ4K4suO1RKKaWUUkopC2jxpZRSSimllFIW0OIL6Nq1q+kIV2iW69Ms16dZnMlOf1ea5fo0y/VpFuex09+TZrk+zXJjdsrjrSy650sppZRSSimlLKAzX0oppZRSSillAS2+/uXUqVPkyJHDdIyAl5ycTP/+/W0x1WynLHDzPFZ//9rt78ZpdLyxDzt9Lzsli443zqNjjn3Y6fvZKVn8acwJ8foz2lxCQgL9+vUjJiaGnDlz0qJFiyvvGzduHIULFzae5fDhw0ydOpWMGTOSK1cuHnzwQWNZRo0axb59+wgLC6NChQo0aNDA51nOnz9P/fr1+fTTT695+++//87kyZMJCgqidevWFC9e3FiWgQMHkjVrVrZu3Uq3bt0syXKzPGD99++Nspj4/rUrHW9SnkfHHPuMOTreOI+OOSnLYmK8AR1zUpoF/GvMCbiZr+nTp1OpUiV69OjBxIkTr7z9yJEjZMqUiYwZMxrPMnDgQDJkyMDZs2epWLGi0Sxly5YlLi6OTZs2sXLlSkuyZM6cmWzZsv3n7UOGDOHpp5+mR48eDBkyxGiWtm3b0qVLF+677z4WLVpkSZab5THx/XujLCa+f+1Kx5uU59Exxz5jjo43zqNjTsqymBhvQMeclGbxtzEn4IqvAwcOXDmd+sKFC1fePn78eB577DFbZNm+fTtly5alXbt29O3b12iWzz//nDfffJOxY8fSuHFjS7LcyMGDB4mOjiY6OpoDBw4YzZI3b14A1q5dS5s2bYxmATPfvzdi4vvXrnS8SXkeHXOuz05jjo439qVjTsqy2Gm8AR1zbsTfxpyAK77y58/PsWPHAMiQIcOVt8fFxTFmzBgOHTrE6NGjjWbJmTMnkZGRZMmShVOnThnNcuLECbJmzYrL5eLdd9+1JMuN5MuXj+PHj3P8+HHy589vNIvH4+Hjjz+mW7dunD9/3mgWMPP9eyMmvn/tSseblOfRMef67DTm6HhjXzrmpCyLncYb0DHnRvxtzAm44qtZs2asW7eOESNG0LZtWzp27Ijb7Wbw4MGUK1eOoKAgoqKijGbp3bs3Y8eO5YMPPqB3795Gs/Ts2ZMBAwbQr18/WrVqZUkWj8fDlClT2LFjBxs2bLjm72X48OGMGDHCsr+XG2V5/vnnWbRoEQMGDGDMmDGWZLlZHhPfvzf7d7L6+9eudLxJeR4dc+wz5uh44zw65qQsi4nxBnTMSWkWfxtz9JwvpZRSSimllLJAwM18KaWUUkoppZQJWnwppZRSSimllAW0+FJKKaWUUkopC2jxpZRSSimllFIW0OJLKaWUUkoppSygxZdSSimllFJKWUCLL6WUUkoppZSygBZfynYSExNNR1BKBQgdb5RSVtIxR2nxpSwxYMAAihQpwhdffMHQoUPp1q0bCQkJ//m42bNn89dff93y+TZv3szPP//si6hKKYfT8UYpZSUdc1RKaPGlLFGpUiUefvhhunTpwrPPPsvRo0dZuHDhNR9z5MgRzp49S/bs2W/5fGXLlmX58uUkJSX5KrJSyqF0vFFKWUnHHJUSWnwpS6xdu5Z7770XgLi4OE6cOEH16tWv+ZgxY8bw0EMP3fZz1q1bl2+++caLKZVS/kDHG6WUlXTMUSmhxZeyxPr160lMTOSTTz5h6NChzJ8/n+jo6Gs+Jj4+nowZMwIwZ84cqlWrxty5c3n33XcZM2YMc+fOpVevXhw6dAiQO0Nr1qyx/GtRStmbjjdKKSvpmKNSQosvZYkTJ07wyCOP8NRTT7F69WrSp0//n4/59ybUxo0bc+7cOR544AEeeeQRpk2bRqNGjShZsiTLly8HICgoCI/HY9nXoJRyBh1vlFJW0jFHpYQWX8rn9u3bR65cua78ef/+/Vy8ePE/H3fp0qVr/hwVFUW6dOkIDQ0lZ86cAISGhl7zudfb0KqUClw63iilrKRjjkopLb6Uz61du5Zy5coBcPHiRQ4fPkzGjBmJi4u75uOCg4NT/Nwul34LK6Wu0vFGKWUlHXNUSum/qvKpZcuW8dlnn7Fjxw7i4uJInz49Dz74IFOmTPnPwBQeHn7l9/PmzeP3339nwYIFTJgwgQ0bNrB27VpmzZrFrFmzOHPmzH8+RykV2HS8UUpZSccclRpBHl1Qqmxi0KBBdOrUiaioqNv6+F27drF06VI6d+7s42RKKX+j441Syko65qh/6MyXso0uXbowbdq02/74uXPn0qZNGx8mUkr5Kx1vlFJW0jFH/UOLL2UbWbJkoUSJEuzbt++WH7t7927Kli2rU/JKqVTR8UYpZSUdc9Q/dNmhcqTExETCwsJMx1BKBQAdb5RSVtIxx79p8aWUUkoppZRSFtBlh0oppZRSSillAS2+lFJKKaWUUsoCWnwppZRSSimllAW0+FJKKaWUUkopC2jxpZRSSimllFIW0OJLKaWUUkoppSzwf8FGufB8JLLkAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 864.648x720.54 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_comparison([surf, eq], labels=[\"surf\", \"eq\"], theta=0, rho=np.array(1.0));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eaf5695b-200a-4e48-a0bd-160c7b83ac07",
   "metadata": {},
   "source": [
    "## REGCOIL Algorithm through `SurfaceCurrentField.run_regcoil` Method"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c715054d-40e0-4ca1-bcb2-cfc112630fae",
   "metadata": {},
   "source": [
    "To run the REGCOIL algorithm outlined earlier in this notebook, we can use the `FourierCurrentPotentialField` object in DESC, which describes a magnetic field created from a surface current of the form used in REGCOIL:\n",
    "$$\\mathbf{K} =\\mathbf{n} \\times  \\nabla \\Phi $$\n",
    "$$\\Phi(\\theta',\\zeta') = \\Phi_{sv}(\\theta',\\zeta') + \\frac{G\\zeta'}{2\\pi} + \\frac{I\\theta'}{2\\pi}$$\n",
    "\n",
    "where `FourierCurrentPotentialField.Phi_mn` corresponds to the Fourier coefficients of $\\Phi_{sv}$, and `FourierCurrentPotentialField.I` and `FourierCurrentPotentialField.G` correspond to the net toroidal current on the surface $I$ and the net poloidal current on the surface $G$. $G$ is determined by the desired equilibrium field strength, and is manually assigned in this cell for clarity (in practice the `run_regcoil` method will automatically assign `G` according to the equilibrium field strength). We will show both modular $I=0$ and helical $I\\neq0$ coils in this notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "262e03c4-67b9-40f4-b0a1-8ea8505fd9b6",
   "metadata": {},
   "source": [
    "### Modular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4cf19f53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 0.00000e+00\n",
      "##########################################################\n",
      "chi^2 B = 1.12363e-10\n",
      "min Bnormal = 6.75858e-18 (T)\n",
      "Max Bnormal = 1.07849e-07 (T)\n",
      "Avg Bnormal = 1.13708e-08 (T)\n",
      "min Bnormal = 6.45462e-18 (unitless)\n",
      "Max Bnormal = 1.02999e-07 (unitless)\n",
      "Avg Bnormal = 1.08594e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n",
      "##########################################################\n",
      "chi^2 B = 1.12363e-10\n",
      "min Bnormal = 7.19817e-18 (T)\n",
      "Max Bnormal = 1.07849e-07 (T)\n",
      "Avg Bnormal = 1.13708e-08 (T)\n",
      "min Bnormal = 6.87445e-18 (unitless)\n",
      "Max Bnormal = 1.02999e-07 (unitless)\n",
      "Avg Bnormal = 1.08594e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n",
      "##########################################################\n",
      "chi^2 B = 1.12363e-10\n",
      "min Bnormal = 7.18976e-18 (T)\n",
      "Max Bnormal = 1.07849e-07 (T)\n",
      "Avg Bnormal = 1.13708e-08 (T)\n",
      "min Bnormal = 6.86642e-18 (unitless)\n",
      "Max Bnormal = 1.02999e-07 (unitless)\n",
      "Avg Bnormal = 1.08594e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n",
      "##########################################################\n",
      "chi^2 B = 1.12363e-10\n",
      "min Bnormal = 7.08290e-18 (T)\n",
      "Max Bnormal = 1.07849e-07 (T)\n",
      "Avg Bnormal = 1.13707e-08 (T)\n",
      "min Bnormal = 6.76436e-18 (unitless)\n",
      "Max Bnormal = 1.02999e-07 (unitless)\n",
      "Avg Bnormal = 1.08594e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n",
      "##########################################################\n",
      "chi^2 B = 1.12363e-10\n",
      "min Bnormal = 6.75574e-18 (T)\n",
      "Max Bnormal = 1.07839e-07 (T)\n",
      "Avg Bnormal = 1.13702e-08 (T)\n",
      "min Bnormal = 6.45191e-18 (unitless)\n",
      "Max Bnormal = 1.02989e-07 (unitless)\n",
      "Avg Bnormal = 1.08588e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n",
      "##########################################################\n",
      "chi^2 B = 1.12382e-10\n",
      "min Bnormal = 6.96314e-18 (T)\n",
      "Max Bnormal = 1.07623e-07 (T)\n",
      "Avg Bnormal = 1.13624e-08 (T)\n",
      "min Bnormal = 6.64998e-18 (unitless)\n",
      "Max Bnormal = 1.02783e-07 (unitless)\n",
      "Avg Bnormal = 1.08514e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n",
      "##########################################################\n",
      "chi^2 B = 1.15694e-10\n",
      "min Bnormal = 6.98245e-18 (T)\n",
      "Max Bnormal = 1.01155e-07 (T)\n",
      "Avg Bnormal = 1.16730e-08 (T)\n",
      "min Bnormal = 6.66843e-18 (unitless)\n",
      "Max Bnormal = 9.66062e-08 (unitless)\n",
      "Avg Bnormal = 1.11481e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n",
      "##########################################################\n",
      "chi^2 B = 2.54415e-10\n",
      "min Bnormal = 6.83486e-18 (T)\n",
      "Max Bnormal = 1.32898e-07 (T)\n",
      "Avg Bnormal = 1.90757e-08 (T)\n",
      "min Bnormal = 6.52748e-18 (unitless)\n",
      "Max Bnormal = 1.26922e-07 (unitless)\n",
      "Avg Bnormal = 1.82178e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n",
      "##########################################################\n",
      "chi^2 B = 3.04763e-09\n",
      "min Bnormal = 6.87792e-18 (T)\n",
      "Max Bnormal = 3.29776e-07 (T)\n",
      "Avg Bnormal = 6.27087e-08 (T)\n",
      "min Bnormal = 6.56859e-18 (unitless)\n",
      "Max Bnormal = 3.14945e-07 (unitless)\n",
      "Avg Bnormal = 5.98885e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n",
      "##########################################################\n",
      "chi^2 B = 2.09733e-07\n",
      "min Bnormal = 6.71238e-18 (T)\n",
      "Max Bnormal = 2.35163e-06 (T)\n",
      "Avg Bnormal = 5.98678e-07 (T)\n",
      "min Bnormal = 6.41050e-18 (unitless)\n",
      "Max Bnormal = 2.24587e-06 (unitless)\n",
      "Avg Bnormal = 5.71754e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n",
      "##########################################################\n",
      "chi^2 B = 6.31201e-05\n",
      "min Bnormal = 6.66831e-18 (T)\n",
      "Max Bnormal = 3.88044e-05 (T)\n",
      "Avg Bnormal = 1.24351e-05 (T)\n",
      "min Bnormal = 6.36841e-18 (unitless)\n",
      "Max Bnormal = 3.70592e-05 (unitless)\n",
      "Avg Bnormal = 1.18758e-05 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n",
      "##########################################################\n",
      "chi^2 B = 9.27305e-03\n",
      "min Bnormal = 6.75729e-18 (T)\n",
      "Max Bnormal = 4.35431e-04 (T)\n",
      "Avg Bnormal = 1.38489e-04 (T)\n",
      "min Bnormal = 6.45339e-18 (unitless)\n",
      "Max Bnormal = 4.15848e-04 (unitless)\n",
      "Avg Bnormal = 1.32261e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n",
      "##########################################################\n",
      "chi^2 B = 6.67750e-02\n",
      "min Bnormal = 6.88974e-18 (T)\n",
      "Max Bnormal = 1.18127e-03 (T)\n",
      "Avg Bnormal = 3.59442e-04 (T)\n",
      "min Bnormal = 6.57988e-18 (unitless)\n",
      "Max Bnormal = 1.12815e-03 (unitless)\n",
      "Avg Bnormal = 3.43276e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n",
      "##########################################################\n",
      "chi^2 B = 8.30407e-02\n",
      "min Bnormal = 6.91104e-18 (T)\n",
      "Max Bnormal = 1.33511e-03 (T)\n",
      "Avg Bnormal = 4.00578e-04 (T)\n",
      "min Bnormal = 6.60023e-18 (unitless)\n",
      "Max Bnormal = 1.27506e-03 (unitless)\n",
      "Avg Bnormal = 3.82563e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n",
      "##########################################################\n",
      "chi^2 B = 8.35488e-02\n",
      "min Bnormal = 7.03814e-18 (T)\n",
      "Max Bnormal = 1.33961e-03 (T)\n",
      "Avg Bnormal = 4.01814e-04 (T)\n",
      "min Bnormal = 6.72162e-18 (unitless)\n",
      "Max Bnormal = 1.27936e-03 (unitless)\n",
      "Avg Bnormal = 3.83743e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n",
      "##########################################################\n",
      "chi^2 B = 8.35607e-02\n",
      "min Bnormal = 6.98764e-18 (T)\n",
      "Max Bnormal = 1.33971e-03 (T)\n",
      "Avg Bnormal = 4.01843e-04 (T)\n",
      "min Bnormal = 6.67338e-18 (unitless)\n",
      "Max Bnormal = 1.27946e-03 (unitless)\n",
      "Avg Bnormal = 3.83771e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n",
      "##########################################################\n",
      "chi^2 B = 8.35610e-02\n",
      "min Bnormal = 6.97463e-18 (T)\n",
      "Max Bnormal = 1.33972e-03 (T)\n",
      "Avg Bnormal = 4.01844e-04 (T)\n",
      "min Bnormal = 6.66096e-18 (unitless)\n",
      "Max Bnormal = 1.27946e-03 (unitless)\n",
      "Avg Bnormal = 3.83772e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n",
      "##########################################################\n",
      "chi^2 B = 8.35610e-02\n",
      "min Bnormal = 6.81448e-18 (T)\n",
      "Max Bnormal = 1.33972e-03 (T)\n",
      "Avg Bnormal = 4.01844e-04 (T)\n",
      "min Bnormal = 6.50801e-18 (unitless)\n",
      "Max Bnormal = 1.27946e-03 (unitless)\n",
      "Avg Bnormal = 3.83772e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n",
      "##########################################################\n",
      "chi^2 B = 8.35610e-02\n",
      "min Bnormal = 6.98102e-18 (T)\n",
      "Max Bnormal = 1.33972e-03 (T)\n",
      "Avg Bnormal = 4.01844e-04 (T)\n",
      "min Bnormal = 6.66706e-18 (unitless)\n",
      "Max Bnormal = 1.27946e-03 (unitless)\n",
      "Avg Bnormal = 3.83772e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n",
      "##########################################################\n",
      "chi^2 B = 8.35610e-02\n",
      "min Bnormal = 7.12405e-18 (T)\n",
      "Max Bnormal = 1.33972e-03 (T)\n",
      "Avg Bnormal = 4.01844e-04 (T)\n",
      "min Bnormal = 6.80366e-18 (unitless)\n",
      "Max Bnormal = 1.27946e-03 (unitless)\n",
      "Avg Bnormal = 3.83772e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n",
      "##########################################################\n",
      "chi^2 B = 8.35610e-02\n",
      "min Bnormal = 7.02935e-18 (T)\n",
      "Max Bnormal = 1.33972e-03 (T)\n",
      "Avg Bnormal = 4.01844e-04 (T)\n",
      "min Bnormal = 6.71321e-18 (unitless)\n",
      "Max Bnormal = 1.27946e-03 (unitless)\n",
      "Avg Bnormal = 3.83772e-04 (unitless)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create the FourierCurrentPotentialField object from the constant offset surface we found in the previous cell\n",
    "surface_current_field = FourierCurrentPotentialField.from_surface(\n",
    "    surf,\n",
    "    I=0,\n",
    "    # manually setting G to value needed to provide the equilibrium's toroidal flux,\n",
    "    # though this is not necessary as it gets set automatically inside the solve_regularized_surface_current function\n",
    "    G=np.asarray(\n",
    "        [\n",
    "            -eq.compute(\"G\", grid=LinearGrid(rho=np.array(1.0)))[\"G\"][0]\n",
    "            / mu_0\n",
    "            * 2\n",
    "            * np.pi\n",
    "        ]\n",
    "    ),\n",
    "    # set symmetry of the current potential, \"sin\" is usually expected for stellarator-symmetric surfaces and equilibria\n",
    "    sym_Phi=\"sin\",\n",
    ")\n",
    "\n",
    "surface_current_field.change_Phi_resolution(M=12, N=12)\n",
    "\n",
    "# create the evaluation grid (where Bn will be minimized on plasma surface)\n",
    "# and source grid (discretizes the source K for Biot-Savart and where |K| will be penalized on winding surface)\n",
    "Megrid = 20\n",
    "Negrid = 20\n",
    "Msgrid = 20\n",
    "Nsgrid = 20\n",
    "\n",
    "eval_grid = LinearGrid(M=Megrid, N=Negrid, NFP=eq.NFP, sym=False)\n",
    "# ensure that sym=False for source grid so the field evaluated from the surface current is accurate\n",
    "# (i.e. must evaluate source over whole surface, not just the symmetric part)\n",
    "# NFP>1 is ok, as we internally will rotate the source through the field periods to sample entire winding surface\n",
    "sgrid = LinearGrid(M=Msgrid, N=Nsgrid, NFP=eq.NFP, sym=False)\n",
    "\n",
    "lambda_regularization = np.append(np.array([0]), np.logspace(-30, 1, 20))\n",
    "\n",
    "# solve_regularized_surface_current method runs the REGCOIL algorithm\n",
    "fields, data = solve_regularized_surface_current(\n",
    "    surface_current_field,  # the surface current field whose geometry and Phi resolution will be used\n",
    "    eq=eq,  # the Equilibrium object to minimize Bn on the surface of\n",
    "    source_grid=sgrid,  # source grid\n",
    "    eval_grid=eval_grid,  # evaluation grid\n",
    "    current_helicity=(\n",
    "        1,\n",
    "        0,\n",
    "    ),  # pair of integers (M_coil, N_coil), determines topology of contours (almost like  QS helicity),\n",
    "    #  M_coil is the number of times the coil transits poloidally before closing back on itself\n",
    "    # and N_coil is the toroidal analog (if M_coil!=0 and N_coil=0, we have modular coils, if both M_coil\n",
    "    # and N_coil are nonzero, we have helical coils)\n",
    "    # we pass in an array to perform scan over the regularization parameter (which we call lambda_regularization)\n",
    "    # to see tradeoff between Bn and current complexity\n",
    "    lambda_regularization=lambda_regularization,\n",
    "    # lambda_regularization can also be just a single number in which case no scan is performed\n",
    "    vacuum=True,  # this is a vacuum equilibrium, so no need to calculate the Bn contribution from the plasma currents\n",
    "    regularization_type=\"regcoil\",\n",
    ")\n",
    "surface_current_field = fields[\n",
    "    0\n",
    "]  # fields is a list of FourierCurrentPotentialField objects\n",
    "# the plot function can take either the list or a single field, all that matters is it has\n",
    "# the correct Phi resolution and surface geometry\n",
    "plot_regcoil_outputs(surface_current_field, data, eq, vacuum=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17462ad1-4c56-47ed-9773-5f9e1db2e380",
   "metadata": {},
   "source": [
    "`data` is a dictionary containing the `Phi_mn` arrays for each different value of $\\lambda_{regularization}$ (corresponding to the `data[\"lambda_regularizations\"]` item in the dict), as well as other useful information like the net currents $I$ and $G$ and the cost functions $\\chi^2_B$ and $\\chi^2_K$ at each value of $\\lambda_{regularization}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "47b0a6cb-9266-4cef-a9eb-b0c07244d200",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['eval_grid', 'source_grid', 'lambda_regularization', 'Phi_mn', 'I', 'G', 'chi^2_B', 'chi^2_K', '|K|', 'Bn_total'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09d06673-e323-4ba1-ac3c-93f2b8ba0471",
   "metadata": {},
   "source": [
    "### Helical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c7064d90-1615-49f8-9626-536c0c688d31",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 0.00000e+00\n",
      "##########################################################\n",
      "chi^2 B = 7.50843e-08\n",
      "min Bnormal = 3.29656e-18 (T)\n",
      "Max Bnormal = 1.71572e-06 (T)\n",
      "Avg Bnormal = 3.13000e-07 (T)\n",
      "min Bnormal = 3.14830e-18 (unitless)\n",
      "Max Bnormal = 1.63856e-06 (unitless)\n",
      "Avg Bnormal = 2.98923e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n",
      "##########################################################\n",
      "chi^2 B = 7.50843e-08\n",
      "min Bnormal = 3.20584e-18 (T)\n",
      "Max Bnormal = 1.71572e-06 (T)\n",
      "Avg Bnormal = 3.13000e-07 (T)\n",
      "min Bnormal = 3.06166e-18 (unitless)\n",
      "Max Bnormal = 1.63856e-06 (unitless)\n",
      "Avg Bnormal = 2.98923e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n",
      "##########################################################\n",
      "chi^2 B = 7.50843e-08\n",
      "min Bnormal = 2.89421e-18 (T)\n",
      "Max Bnormal = 1.71572e-06 (T)\n",
      "Avg Bnormal = 3.13000e-07 (T)\n",
      "min Bnormal = 2.76405e-18 (unitless)\n",
      "Max Bnormal = 1.63856e-06 (unitless)\n",
      "Avg Bnormal = 2.98923e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n",
      "##########################################################\n",
      "chi^2 B = 7.50843e-08\n",
      "min Bnormal = 3.16604e-18 (T)\n",
      "Max Bnormal = 1.71572e-06 (T)\n",
      "Avg Bnormal = 3.13000e-07 (T)\n",
      "min Bnormal = 3.02365e-18 (unitless)\n",
      "Max Bnormal = 1.63856e-06 (unitless)\n",
      "Avg Bnormal = 2.98923e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n",
      "##########################################################\n",
      "chi^2 B = 7.50843e-08\n",
      "min Bnormal = 2.79662e-18 (T)\n",
      "Max Bnormal = 1.71572e-06 (T)\n",
      "Avg Bnormal = 3.13000e-07 (T)\n",
      "min Bnormal = 2.67085e-18 (unitless)\n",
      "Max Bnormal = 1.63856e-06 (unitless)\n",
      "Avg Bnormal = 2.98923e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n",
      "##########################################################\n",
      "chi^2 B = 7.50843e-08\n",
      "min Bnormal = 2.87935e-18 (T)\n",
      "Max Bnormal = 1.71572e-06 (T)\n",
      "Avg Bnormal = 3.13000e-07 (T)\n",
      "min Bnormal = 2.74986e-18 (unitless)\n",
      "Max Bnormal = 1.63856e-06 (unitless)\n",
      "Avg Bnormal = 2.98923e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n",
      "##########################################################\n",
      "chi^2 B = 7.50839e-08\n",
      "min Bnormal = 3.01835e-18 (T)\n",
      "Max Bnormal = 1.71574e-06 (T)\n",
      "Avg Bnormal = 3.13000e-07 (T)\n",
      "min Bnormal = 2.88260e-18 (unitless)\n",
      "Max Bnormal = 1.63858e-06 (unitless)\n",
      "Avg Bnormal = 2.98923e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n",
      "##########################################################\n",
      "chi^2 B = 7.50687e-08\n",
      "min Bnormal = 2.80997e-18 (T)\n",
      "Max Bnormal = 1.71649e-06 (T)\n",
      "Avg Bnormal = 3.13020e-07 (T)\n",
      "min Bnormal = 2.68360e-18 (unitless)\n",
      "Max Bnormal = 1.63929e-06 (unitless)\n",
      "Avg Bnormal = 2.98943e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n",
      "##########################################################\n",
      "chi^2 B = 7.56765e-08\n",
      "min Bnormal = 3.36757e-18 (T)\n",
      "Max Bnormal = 1.75015e-06 (T)\n",
      "Avg Bnormal = 3.18154e-07 (T)\n",
      "min Bnormal = 3.21612e-18 (unitless)\n",
      "Max Bnormal = 1.67144e-06 (unitless)\n",
      "Avg Bnormal = 3.03846e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n",
      "##########################################################\n",
      "chi^2 B = 1.67853e-06\n",
      "min Bnormal = 2.49838e-18 (T)\n",
      "Max Bnormal = 4.68185e-06 (T)\n",
      "Avg Bnormal = 1.45881e-06 (T)\n",
      "min Bnormal = 2.38602e-18 (unitless)\n",
      "Max Bnormal = 4.47130e-06 (unitless)\n",
      "Avg Bnormal = 1.39320e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n",
      "##########################################################\n",
      "chi^2 B = 1.70442e-03\n",
      "min Bnormal = 3.26299e-18 (T)\n",
      "Max Bnormal = 1.39268e-04 (T)\n",
      "Avg Bnormal = 4.33090e-05 (T)\n",
      "min Bnormal = 3.11624e-18 (unitless)\n",
      "Max Bnormal = 1.33005e-04 (unitless)\n",
      "Avg Bnormal = 4.13613e-05 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n",
      "##########################################################\n",
      "chi^2 B = 1.61314e-01\n",
      "min Bnormal = 4.39052e-18 (T)\n",
      "Max Bnormal = 1.27242e-03 (T)\n",
      "Avg Bnormal = 5.15967e-04 (T)\n",
      "min Bnormal = 4.19307e-18 (unitless)\n",
      "Max Bnormal = 1.21520e-03 (unitless)\n",
      "Avg Bnormal = 4.92763e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n",
      "##########################################################\n",
      "chi^2 B = 5.36631e-01\n",
      "min Bnormal = 4.67817e-18 (T)\n",
      "Max Bnormal = 2.73844e-03 (T)\n",
      "Avg Bnormal = 1.04753e-03 (T)\n",
      "min Bnormal = 4.46778e-18 (unitless)\n",
      "Max Bnormal = 2.61528e-03 (unitless)\n",
      "Avg Bnormal = 1.00042e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n",
      "##########################################################\n",
      "chi^2 B = 5.86153e-01\n",
      "min Bnormal = 4.70880e-18 (T)\n",
      "Max Bnormal = 2.95036e-03 (T)\n",
      "Avg Bnormal = 1.11115e-03 (T)\n",
      "min Bnormal = 4.49703e-18 (unitless)\n",
      "Max Bnormal = 2.81768e-03 (unitless)\n",
      "Avg Bnormal = 1.06117e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n",
      "##########################################################\n",
      "chi^2 B = 5.87472e-01\n",
      "min Bnormal = 4.70897e-18 (T)\n",
      "Max Bnormal = 2.95591e-03 (T)\n",
      "Avg Bnormal = 1.11282e-03 (T)\n",
      "min Bnormal = 4.49720e-18 (unitless)\n",
      "Max Bnormal = 2.82298e-03 (unitless)\n",
      "Avg Bnormal = 1.06277e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n",
      "##########################################################\n",
      "chi^2 B = 5.87503e-01\n",
      "min Bnormal = 4.70896e-18 (T)\n",
      "Max Bnormal = 2.95604e-03 (T)\n",
      "Avg Bnormal = 1.11286e-03 (T)\n",
      "min Bnormal = 4.49719e-18 (unitless)\n",
      "Max Bnormal = 2.82310e-03 (unitless)\n",
      "Avg Bnormal = 1.06281e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n",
      "##########################################################\n",
      "chi^2 B = 5.87504e-01\n",
      "min Bnormal = 4.70896e-18 (T)\n",
      "Max Bnormal = 2.95605e-03 (T)\n",
      "Avg Bnormal = 1.11286e-03 (T)\n",
      "min Bnormal = 4.49719e-18 (unitless)\n",
      "Max Bnormal = 2.82310e-03 (unitless)\n",
      "Avg Bnormal = 1.06281e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n",
      "##########################################################\n",
      "chi^2 B = 5.87504e-01\n",
      "min Bnormal = 4.70896e-18 (T)\n",
      "Max Bnormal = 2.95605e-03 (T)\n",
      "Avg Bnormal = 1.11286e-03 (T)\n",
      "min Bnormal = 4.49719e-18 (unitless)\n",
      "Max Bnormal = 2.82310e-03 (unitless)\n",
      "Avg Bnormal = 1.06281e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n",
      "##########################################################\n",
      "chi^2 B = 5.87504e-01\n",
      "min Bnormal = 4.70896e-18 (T)\n",
      "Max Bnormal = 2.95605e-03 (T)\n",
      "Avg Bnormal = 1.11286e-03 (T)\n",
      "min Bnormal = 4.49719e-18 (unitless)\n",
      "Max Bnormal = 2.82310e-03 (unitless)\n",
      "Avg Bnormal = 1.06281e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n",
      "##########################################################\n",
      "chi^2 B = 5.87504e-01\n",
      "min Bnormal = 4.70896e-18 (T)\n",
      "Max Bnormal = 2.95605e-03 (T)\n",
      "Avg Bnormal = 1.11286e-03 (T)\n",
      "min Bnormal = 4.49719e-18 (unitless)\n",
      "Max Bnormal = 2.82310e-03 (unitless)\n",
      "Avg Bnormal = 1.06281e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n",
      "##########################################################\n",
      "chi^2 B = 5.87504e-01\n",
      "min Bnormal = 4.70896e-18 (T)\n",
      "Max Bnormal = 2.95605e-03 (T)\n",
      "Avg Bnormal = 1.11286e-03 (T)\n",
      "min Bnormal = 4.49719e-18 (unitless)\n",
      "Max Bnormal = 2.82310e-03 (unitless)\n",
      "Avg Bnormal = 1.06281e-03 (unitless)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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no6SkxF9LYOa36e0TKSgoQGFhIV5//XXMmDED69atQ2FhIRYtWoQxY8bg888/x86dO/H666/jo48+wl//+ldkZWVBEAQsXboUs2fPVsz3okWLMG/ePKxZswbr16/HiBEj8PLLL2PAgAGGnh3rb01JSUF6err/2FmzZiEzMxPff/89pk+fjmnTpmHw4MEoKiqypaXGTfDWFwBs2rQJS5cuxbFjx/Dss89i8uTJiI+Pd5W+4uPjsXDhQvz3v/9FQ0MD9uzZg5dfflk3XRE3aUntmclrHklX7NihKwDIz8/H559/jvr6eixfvhwjR4706+rUqVMYOXIkevfujWuvvRZVVVV44IEHMGrUKHz44YeYPHkyUlNT8eOPPwa0rKjpVe39V9vXrl07XV199913inns168fJkyYgP79+yM+Ph7Dhg1Djx49gn6/VFcDBw5U1NTQoUMxdOjQsOpK63dKIU2xY5em3njjDbzyyiv+v6VlwSFDhmhqR67H22+/XTXd1q1bY+bMmZg4cSIyMzNRXFyMJ598EomJiarxZNCgQZY0pXQ9OW7RFMs9F3GirjyCIAghuZJBampqAoJ9bW0tamtrkZqaGr5MEY7nwIEDePbZZzFr1iwMGTIE9957L/bu3Ytx48bhhhtuwIYNG3Dw4EF8/PHHzXrqd9IXYQTSFRukK4IV0hQbpCnCCE7TlWNbsuS1qQkJCUhISAhTbgg30qZNG4wZMwY//vgjMjIy0LZtW7Rq1cq/5kZzhvRFmIV0pQ7pijADaUod0hRhFifoyrEtWQRhFEEQkJubizVr1mDOnDn4+OOPkZGRgdOnT+Oxxx7DunXr8OWXX8Lr9eLOO+9U7JZCEEQgpCuC4AtpiiD440RdkckiCIIgCIIgCILgSFS4M0AQBEEQBEEQBBFJ2D4my+v1Ys6cOWjTpg1KS0vx4IMPqh6bEdMRvVsMsjtLRITzcfmbQdvKyspw46B2aNUqCvkfnHJ1n27SFBFqlDQFAAtmtcWjz5xE/sIOuGbEoRDnii+kKyLUKOmqqKgIgwd2Ro9z4/DWu6f904i7EdIUEWrUYlXuk5l46fUSFLzdAb3+qL2UBU9sb8n64IMPUFhYiIqKClxyySWaxzYIdXZnh2iGiAZrwr2pGPqHJNxyYzpqa2vDnS3TkKYIJ7BgVlu8+34ltnzUGQ8/VYyNK7PCnSVLkK6IcFNUVIQbB3dG7pMZ6HFuHEb/T2s0NjaGO1umIU0RTmDm/8vA1u9rsWFFJ4z9+wl8t65zyK5texXJ3r170a5dO9x333244YYb8OGHH/r35eXlBazKXC+4t+BLOBPRYD00Lg23DG0JoGnBvVtuTMeKNe5s0SJNEeFmway2eG91JVa+2R6JiVF4/60OuHn0UbyALNe2aJGuiHAiGqzn/pmBgf1bYGD/Fpg2+zRG/09r17ZokaaIcDPz/2Xgux/qsOy1doiN9eC9Be1x21+PYeGsziFp0bK9JUucMhFoWuxNyrhx47Bt2zb/vziP+wq8hHNpaGgIMlgAMH50Cm4a1BJ/GpYBN877Qpoiwsnb89rjvdWVWLGoyWABQPu2MXj/rQ54+KlibPk4dLWEPCFdEeGioqIiwGCJ/HNia5zfLQ5/vat1GHNnHtIUEU5emdYmwGABQNcucXhvQXuM/fsJ7N271/Y82G6y/vSnP2H37t2YP38+brrpJrsvRxB+Tp48ifiWAgZc78EpX1XAvz/dFYODx+rDnUVTkKaIcPLx13/AE/8vCdXxNQGaisusw73jE7HpB/VxF06GdEWEiwMHDqBL1yhcfKUQFKvGT4jHdz/WhDuLpiBNEeGk4PNLMfXpJJRFVQdoKrVzA0b+OQFff/217Xmwvf05OTkZr732mt2XIQhFojwa+1w6tyZpigg3atqJ8mgIzuGQrohwohWPorQCmYMhTRHhRk1XnhBpyn2dfIkgPG0zuaYnnCjmml4k8uuvv2LYsGHYvXt3uLNC2ATpKvSQriIb0lToIU1FPqSr0GJEU2SyHARvoZhFmo/mLLYdO3Zg69atqK6uxsmTJ/H000/797333nto3759GHNHsOI0XTVnTQGkq0jAaZoCmreuSFORgdN0RZqyrikyWSHCKeIxCmu+I1GMOTk5SE5OxgsvvIARI0b4t3///ffo2bMnPvvsszDmjgDcqSsjeSZdEaHGjZoCKFaRppyNG3XVnGMVL025dFSKs/G0zQz6F+ko/WYn/PZyIQY761sq/qsRopCXl4fevXv7/0mnlAWA7Oxs5Obm4vXXX/dvW7NmDYYOHRrqn9KsceK7FQqc+rt/bmihqKmD3gRs2bJFU1MA6coJOPXdshunxqoSXyzFqgjAie9WKHDq795Tn6SoqaON8di0aZPtmqKWLJMYeXkaM1vZmBM2YorLw3ZtT9tMx9ZyjBs3DuPHj1fc98knn2Dw4MFo2bIlKioqAAAlJSWorKzE66+/jiNHjuDdd9/F//zP/4QyyxEN6YoNJ2uqb9++yM/PV91PugotpCl2nKyrcePGYdy4cYr7SFOhxah5aM66crKmBgwYgCVLliju46UpMlkMsAjKCSLSQpq/cAYxN1FcXIxp06YhKioKY8aMwZgxY7B48WLMmDEDa9euhcfjQevW7ly/xAmQrqzh5OClBenKPkhTzRPSlL2QrpofvDRFJkuGnpjUhFSXEW9HdjSJP1ln6jyWjwGJELjrrrsC/r7jjjv8/z9o0CCarYmR5qApgHTFCunKOlYKfW7SFWmKDdIUHyhWNcFbU26sEOSlqWZrsswGKbmYaltHc8tTwmmvoePlebEiOjlKv92K8NRE1pwHVkYiZnSlFKB46cpJmgKCf7sdBUTSVGRBsUobilWEUVifpV6sIk1ZozloKqJNllkhAYEvsFxItWnmFjFLKBE096sJllV8Yp55Fwx5YXUQpJlpRSu8CdhZm6W4r8Z3zFJ+miNWxnfoBSg7dMVLU4A9umrMbGW5QGgFs1P1/lLXDhW1LYO2H6w/gQss5ah5EgmxykghkWJVMCXeJIpVHKFYxRe3xqo9dR3RsjYuaPvRBuBiSzliw5Umy8rDMlLjJwqpPtX4deJKg7epCZM1oEWK2bKKG5uenY7VDyBr4U+qAaO6UtKUPE0prAHNiK4iWVOAe2sLnYqdsUr6DpuNVU7QFECximCHYpU+FKucg7NMVmwMlykfWfvN6pmp+jQf8zXjSgJnwxfTUhNbQD5+v75dZkuK1X68VmoyeHaVcsLUoK7AZk0Bxgp+PDQF8NeVFU0B4dMV7+6HpCtGHBSrmjSl/Y6LOFFTAMUqAhSrQLHKCG7RlbNMFgOsM7hoNffWpnn8IhADlC+10b8/KaUGAJAIoKosMSCdqNLgWyYXmBSjZktPZFax2o+X5ww6oRifYgW1Fb83bdqEzZs3o6ysDBMnTkTbtm3DnFNrGHmmrEGqPs0HX2qDf79UU0CgroxqSnodJ+rKTBDjpSunawogXclhNVRqsUpJU4CyrrTgrSmjRksOxSp2SFPBsMQq0UipxSqr5T/xOiyaEvNGscoZ8NKUo0yWEBNtOjAB+oU+AKoBSg1RcKLYfKmNAULTE5gIq9BCITIpTmpWVnv2UvEZFXilNwF7qtor7qvxxSIvLw/z58/3b5OuRaK24vfs2bORn5+P7777DgsXLsQ///lPQ3kKJVY1BWh3n5AHKbmZUiMppUZVU27HSV2gtJ69qCszQXN/TSZKqlKDth+pq0PltqbFiEXk6/uQrlhjVWDBz2isksM7VoWaSI9VZY2JqrGq9vdYJV0slWJVIKwtU9JYZbX8x4qTNQVEdqz6ubotEuMTgrYfry/Hpk2bMHfuXP82OzTlyJKN3nSYaoMQlWrRk1Jq0CGlDADQNfmkYnr7KjJwtCxFcZ9ajTtrwPIfX8p2XCgNlghr8DI7TalVAdu5/oTWYsTAmRW/7777bvzxj38EAFRXVyMqKgqZmZk4ePCgbXnjCcuzUwpSgLTGr6kWPSmlBtEAOqSUqWoKUNdVc9AU0Hx1pbcYMdB8dBWOWCUvBNqlq3DQXDUFaC9GDDQfTQEslRRnYhVAsUqP5qorrcWIAT6acpTJEmI8qMuI15zJRa1lSlrwA5SDVI8k/Rl6RKFVlSUiqjQGUikZFZb/vFL9Y8IlLhE713kw298+HGtPSFFa8RsAkpKS4PP5UFxcjM6dO4cxh/qoaQpgb5mKBtBVRVdqmtpT1d5/rFRTgLVg5T+vlO245qQr1kBGurJOJMYq0hTFqnDCI1YBFKvM4rRYFSmacpTJ8sV4UNr1TJaUgpS8tk8UzkUJhxTTFKdE3VPVXrEpfl9FBgD1gGVWWCJ2GCyWtRms9IVnua7V9O0QEM81KwD1Fb8feugh5Obm+vvkOhlfjAe1raM1W6aAM7XoYrDpkXRMV1MAVLu3SGsGeQYsVuzQFMBfV/Lr8hzDwgPemgIiR1eRFqtYoFjFB4pVwWhrylqsUtMUQLHKzHVJU+yacpTJamwBVJ7tCxATEFwzIa2RuCjhEC6Kq/T/nR6VhFO+Kkmqh7CzNgs9ko5hT1V7xUAlYkfA0uuLa1fthR2FI730zQqPR17NrluhhdqK3wMGDMCAAQO4X88OvHHAyUsFyINUIoK7UEgLgVJNAXJdNQU0qdlS0xWv1mAj2FkjSLqyTiToines2lnfEhclUKwKVfqkKechagoA91gFnKkQpFhlX9rh0pWTNeUokxWfWI+uPQ8HBSilWgqxgNf0X/n+lgE1GIC6sADlGWOMTN8pJRTCdCq2B0sVIWlNu1rdGOd/9nLqvI56/W3B08LLrCmgSU/KmgJ21vbw/z9LIVAJM7pS0pRTBxLbga3BUiM4yVtnpBysSsPpivSg7SdqTgHBaxRHHHbHKun4EIpV/HFirKpoiG/WsSoqLjJjVXMiHLFKb9r9A5WtERfTImj7ydojvLKmiaOUGx/d6O9WIRWWtKZiZ31TBBdr/YAmsUmbguWCAsxNbyudiVAJtYBnRGjSF4elVkPPsVupGTG7WDKv67CgtpaZ3rNqrsRGexW7KilpSoqapgBrumJ5TvI0rGgKYFh7JAyaspqu0WtpobU+IOlKGbOx6t1TlwWkQ7HKHE6PVUqL11Ks0sbOWKU042aoYpVWhaAbYpUdrW3NKVY5ymTVeWP8AhFF0yPpGHbWBh7HUvgD2IWl9HDE7h9KSKfzVEtTipHp261iR7Mp7w8BC1pBCgieil9EHANBnEGqkT1V7UOiKSBYV1qakqbNe0p3q++jHZqSp+sETQEI6v5GKMMSq6xoCmCLVUY0pZamGShWnYFiFT8oVjkvVpGmrBESk3XttdfimWeewVVXXcV0vFQ4XxzuqnqcWnDSgkVM0gelNK2n3nokSkRS9yZeQlYSUtAxCs2/SgVBJ4rLbozoSqop1iULWGGppNDTlHiOkeBlZPFUpxNKTQHq5gpo3rpq7rEqkjQFUKxyCk6NVWY0JZ5HscoazSVW2W6y1q5di6SkJKZjG7zROFqWYko8LOg9kK7JJ4P6RHdIKdNcP8HImiSsL5URnCpaq7+VpT+09D05au1yiqxevRp79+5FQ0MDunXrhttuu63pWkeP4t1330VSUhLatWuHm266yYara8OqK1FTgLmgxIKWrsT+9VJd6WkKMDa7E29dOVVTgLXfyjrGQHwOSSk1qoUMKzhVVxSrzkCaMnA+xSpNjMaqUGgKoFhlN26PVbw0ZavJEgQB27ZtQ+/evRX3y1cwbzhdi5rCZKi9pqx9LvXEJKK0PomS0KRoDZgMx6BHvRoSIy+6WcHy/HCwiEup1qimNFnx2NrGGFXxNXijkZeXh/nz5/u3SRd87NWrF4YNG4aysjKMHTvWL7Lc3Fz06NED5eXlGDp0qG5+eaOlKzVNAVDUlZF+zCy6UlvwUa4refDitegjD6Tvs1VdWQmCodSVEU0BQHFlMsoVdFVW0wJbdm0JeDfli6g6UVdOjlWsmpLjpFjFU1NaaRjJh1V4x6rq+jjdWCV9ByM1VlnVFBCaWBVuTQH6ugqFpoxeRzctzrHqeHkrxHiCTX5ZbQI2bdqEuXPn+rfZoSlbTdaKFSswYsQIvPPOO4r75cE3vnNWwH49UWkJSWt1bzlqQYp1hicnzChjRytZOK4XVxJlerYsM4wbNw7jx49X3NexY0cAwMqVK/Hwww/7t+/duxcjR45EdnY2HnvsMbz55pshyauIlq70NAVo60qv+wSrrtQ0BbDN8OQETQGh1ZWd1wqlrvr27Yv8/HzV/U7UFcWq0EGxyhzyd1CKEzUFhDZWqbVM6UGxylnXCqWuBgwYgCVLliju46UpW03WgQMHUFxcjG3btqGqqgrnnXceMjMz1U+IFlT7W4oYEZLaCt+A+iKqRqbOdYq4QkWoRMx6X0MhxIKCAmRnZ/sFBwBt27ZFq1atkJqaipKSEtvzIMeQrmSaAqzV8gHquiJNmcNJugpVcHOarihWRRZO0hRAsYpiVWTgJF25RVO2mqzJkyfjwIED+PDDDxEdHY2UFO0+k1HRPr+o1Gr6lEQjnSJXijg7jZKgWKakdmqNhR1oNRWHuuYx4NoGhcRzGs9Vq1Zh5syZyMnJQUVFBeLj47FgwQJMmjQJixcvRmpqKiZNmsTteqwY1RVPTQHGddVcg1WkaIo3TtQVxSp3oNelKVy6MqMpilXB8NaUmpkCKFZJiZRY5URN2T7xRZcuXbB69WqmY2Ojvaore0tRWpxOuk0UnDxoUbAKhkf/eKtYKfQZnXrVCMOHD8fw4cODtufk5CAnJ4fbdczAqqv4uAYumgIQEMiMrEtHmjqDG3Rl93ojTtWV0VjVv9M+/99qNeYUq/jh5lhldJkYozhVU0D4YpVSpQXFqkAiLVY5UVOOWicrNbYGN7bb6f9bq5Cntz1chUD5y+JUkYYrYFmtRdcSlVJXAm9DtOpsRT6vM58NT+SaApQLeTtrs3T1pqcpwL4JLKTvjVM1BVgffGwG3poC9HVVXRGPRgVd1VXHWcqLW0iNrQkoAPKIVaE2VhSrtAl1rGqkWBWyWKW14DfFKvsIS6wqT0A0gnVVXxOaWOUokwUo11JI9+2szdIUFMC+QJ0VYbG+LE4MZHJx2SksO0QFuGN9BCehpitxu56u5IOD7SoEsrwvbtAUYJ+ueHT3M7q2GREMxSr7cXusIk0Zxw2xKpI0BTg3VrGU/wBn68pxJkutBlCO2WAFsInLrnEL9Wm+sApNFJgdorKr8AewDSwHjM3U1Zxg0ZWWpgD2mkBAPZjYoSsxzXDpKtI1RShDscpe4krdV/gDKFZZhWKVfVCsCj2OMlk1vljNgYoiRqexBZQHMYqEeiB4OIMXL3HZGaSkqPWxDYXA1Bajy83NRVpaGnbt2oW//e1v6N69u+15MQurpgBlXbHWrssJ9+QKocQpmgKs6SpUQas56cqopgBn6YpiFcWqUEGxyn6coinAnljFs+KCl6YcZbLqvDGaaxbIsRKslFB76EbT0cMJTcYshCo4aSFd0VuK9NlLBWfk/dFDbTG6O++8Ex07dsT777+PTz/91NGBy6qmAPZgpUaodOUGnKApQFlXapriDemKYhVvnKArilXWcGqsao5xCnCGpgBjscqJmnLV26MnKsCYIFhfAulxkSq4UNZMmEFpQLAoOqX3wk+DR/2ZeT3Iy8vD/Pnz/ZukCySqLUYnbt+yZUvAdreiVwAE7NUVD005tTDolEClhvxZM2kKQFRFtOJz81RFY8uWLejdu7d/m3zR0eagq0jQlFOJ1FjlqY/SiFVAXl4e8vLy/JsoVrmz/EexyhymY1V5DKJ8CrGqJgqbNm3C3Llz/dvs0JTuG7Nv3z785z//QXl5OTp16oR+/frh4osv1k2YFyzGSopdDzoSxeX0YKUGz65O48aNw/jx41X3Ky1GJwgC5s6di7/97W+oqqpC69atDV+XdBWZmgLcqSuemurbty/y8/M1j7FDV6SpJiJRV27UFMA/VkkrK+REYqxSK0CrzsJImjKEG3XFU1MDBgzAkiVLVPfz0JTum7NhwwbceuutOHjwIObOnYuCggIcP34cf//733HnnXca+DnGURNYUkqNZvDiRaQKCwhPP2QrtUzhGEOithjdP/7xD+zfvx87d+5E+/btMXXqVMNph0tXerU+ocCqriJdU0aCltWa23DM0mSXrihWWSOSdWW0IEix6gwUq8wTyZoCIjtW8dKU7q/2er2orKzEddddh0OHDuHuu+9GfX09VqxYgXnz5uG+++7j9qPkKN1EUXjyG241kEWqmOyGZ7cUvWAV6tlk1Baje/HFFy2nHS5dhVJTAOnKDLy7ekl15YRZmuzSFcUqNtykKV6FQTs1BVCssgOKVc4nlLHKrZrSvUPjxo3Dyy+/jIcffhitWrVCeno6srOz0adPH6xYscLQxfSIj24MmB1EaRBbh5QyxRoOlhpDElEToWzFkt8zpWsbEVakTHsbKl2xagoIrjkMhaaAyNFVKNHTldFgFQm6olh1BtKUcYxoCqBYRbGKYIFnrHKjpnTfOo/Hg4ceeggPPPAA1q9fj6+//hoffPABMjIycPvtt3PNTGJUg+Z+I33enSoo6UJwdq+urZqHkijuRkvvXvESVo+kY4byFdXgUc2bJ/Rd9M9cO0S60tMUwDZIX8Sphb/mqCsrhUB5sDKqq9iyKMTFB+ctpspjKB2eUKziS3PUFBDGWFWnEau8ka+r5harwqUpwNmxiqemACC2NAoxDcF5i64OjaaY38KYmBgMGjQIgwYNsjM/6JF0LGitBN7T3yphZw1FKFfYZkX8vUaEZuYeSdNnDVasBUC1leHdRCh0paQpQHtdOcC5QQpwpqYAc8HL6H1iLQSaCVakKWtQrOKPW2KVVgGQdMUGxarQ4dRYFWnlP0fN81rji8Wa4xf5/za7uLAeoWjyVRIW4AxxSbHjXlgRllxQakLaWZulujL8dcayq0pjYyNmzpyJwsLCgKlz3YS4wKPY9cLOYEW6asKu+2BUV2oFQK3gZLemgMjRlbQ7E8Uq+6FYpU6kaIpiVWgJRaxiabWK5FjlKJNVWR+Po2UpXAUV6j60asICnCUu3vCusTBaS8G6UrwRqqqqMGTIEMybNy9g+4IFC1BYWIiEhARceumluP7667lfmxeV9fH44nBXAHwDVSh11Vw1BVgzViKirszU/JGulKFY5V4oVjkTO2IVaSp0sOjKLk0BztWVo0yWzxvlFxeroJwyELE5istqAVBeEyiKpEfSMdVaCulxQPDg2KNlKUAvltzrk5KSgvT09KDtPXv2xLfffovS0lJUV1c7OnCZ0RTgDF1paQqITF2xTgxjpHvFnqr2hjQFILiVhpOmgOarK9JU+KBYFZmaApyvq+aiKcBYrFLqBhiJscpRJgtej+HaCvFBh0NoegELiDyB2TkeROyPrSsiGZqDXxvVn1OUF8jLy8P8+fP92/QWfASAN954A88++yxSUlKwY8cOzWPDjglNAU3P2amaAiJLV6EYFKylKcC4rmIrgLi44O0xVcCWLVvQu3dv/zYWTQGRryuKVaHDyCy2jolV9erPyfN7rJJ2WaJY1YTTY1UkYTZWGZloiXesiisDYhTmVImpATZt2oS5c+f6t9kRq5xlsiwgf/ihmMWsuWC1e4VcJGrNunpismOK1nHjxmH8+PGGzjl16hTS0tIAANOnT8fq1asNX9cNKBVUSFf8MNq9AjijK6XpjZV0FQ5N9e3bF/n5+YbPa666Ik3xIxyxyrCZMtmdlLUAKIU0xZfmqCnAeqzaV5ERoDOnxKoBAwZgyZIlhs8zoitnmaxoQXcFadYbyat2IxSicnIXDjVxGZkdUKtgqDe41QhGVh9nQRAEvPPOO/jpp5+wfft2vPrqq1iwYAEmTJiAadOmob6+HiNHjuR6Te5w1BRPmrOueIwJcaumANKVHIpVfOAxk20odEWaUsGBmgKs6YpFD05uZaZYZV1XHkEQBO45M0niOR2Q/aJ6TY30IWiJzYy43FZDEQrRsQYtgG01bqM1E0YR87Xr5qcAAMeOHcN5V/4BXW7+q+Lxv/7rJVQdPwiPJ3xrkNiNEU0B6royG7DcpKtQawpQr7QQMaor3poCmvImagoARo0ahS2eDkhIbxd0bOlP/8WD11yIRx55hHs+nATFKnYoVgUjj1U7d+7E1SPHImuw8rpTv/zrJdSccMeU1WahWMUOxSpl5LFqyJAhOHjWlYhp0TLo2FM7vsQzdw3FX/7yF+75kOKolqzYaK/igxIfjNaq3nrCcpOAWOD5e5QEq7Z+gprAlLpMiFgRkxVBA0BUg4CEEuV6BI/XdLZcA2mKHbs1JYel5s0OXVnVFADElwtIiArWVWyVY+rsbIV0xQ7FKjZdRderx6oo/pX0joM0xY6bYlU4NQUA8WUCYuuCdRVTHZpYZbvJWr16Nfbu3YuGhgZ069YNt912G9N5ao5XWnuhJCyrL5/aR06J2rTIaAGJK9UXWlRpDHypjQHPQkkARqZeVRKukbVJpNN8as1GE2mY1RRwRldO1RQQGboyoikAmrpS05RSsUJPU4CxtUlIV/pQrHIWvGOVWgGTYpU+FKucj9lYZXf5DwiOVWpr0zlZU7abrF69emHYsGEoKyvD2LFjA0Qmny2noawmSFhiYUIuKDNiMiqgUKdnJzw+BnKx1JQmBx+jk4bRPr1aCz5eFFcp2RPZXSmkGNUUgIA1faQFdKmunKApu9K0Azs0BQTriqXzi9Wpc0lXFKucgpauWAqEQGhiFWlKH16xyomasitNO3Bi+Q8wHqvk62eJuroobg921gd3CXQCtpusjh07AgBWrlyJhx9+OGCffLac+LM7oaaw6cEl6BT+3PJyO4WEEsGQ0MSPmlpXDKPHqxUCpTUU8qAkF83O2qyAGoudtWf2ibPV7KvIwHVdmLKsi9Zq3yUlJTjvvPNQVFTE52IGMKqpfT90AoCAYEWaso54v9R0pVQgNKIrlmPl/eSlBUD5IsRqmpL+t+n/z+wXdcVLU0Dk6IpilT04LVZpaQqgWKWF2VhFmuKLXqxSgmes0qoENBKr5C1WbohVIRmTVVBQgOzsbL/g1Iiu9qDlb00Py6qIEk7zG3BT2zratjyYTTtUWJmhR09YABTFBQDpUUkBtX9SwUmDlFJtMq4xneUA1Fb7BoAlS5aga9eufC5kAjOaAqzpygmaYslHKDVltobQiK7iSqIUB/araQoIrLRQ01QTh/yBS66rAE1xXOAx0nRFscoZ8IxVWt3/Lko4FKAjilXaUKyyJ22jmG0hNqsrlvIfEPmxynaTtWrVKsycORM5OTmoqKjA22+/rXqsx3tGWDxFYhU782I0bbOi1CsMsnbDUEOvEKjWp1a+XoK0ZkK+Xx6oxObruJIoJEC5xiu6XlC9x1GNguZixGqrfR87dgzJyclISkpSTNduSFN807ZLUzwQdaWlKSBQV/JFUuWaEo8BzGkKAOLKfEjwBd/nuEqf7mLEpCv7aA66sitW6Y3/2FPVHj2Sjv1eox6crlRTQHC3N0AnVtVpxCqvoLkYMWnKPpqDpnjg1FgVX+JFXHzwfY6tEnQXI+ahK9tN1vDhwzF8+HCmY6Ma1T8ySsSfrDOZqybqMuItnR8OpPeHRXCs4jITtPSm+FRqDlZjT1V73eAEnBFSK0hrusx/mM0sRrx06VJMnDgRy5cvN3w9HjhZU4D7dGVUU4C9QUurwgLQrrQQt4nBS75oqpauWv1+XJOuztQiG9WV2cWISVfquE1TQGTGKlYjBShpCrAaq4wuRkya0sZturIrVpmttHB7rDK7GLERXTlqCndPo8BFOKzIr8UqOKN5tEPI4QpaRtZOEGsdjpalYF9K8EJ00mO0aiakQtISUajenRMnTmDRokU4cuQIFi5ciLFjx4bkumYItaaAwOdgl6aMpM0bO4KWkXV+jpal4GhZCjqklGku8CgNUmKAalXadAxroS+U7w7pSh2KVU1QrDIGaUqbSI5VdlVahDNWOUFTgDFdOcpkyYkpLjd9bmNmK/2DZNj1kOJP1jm2xsSuoCWHpWZCS0yh/vgC6qt9v/jii9i8eTM8Hg9at24d8nxZIVI0JaYdal3xbsFS0xSgryurmgJIV7wwqyszmgIiK1bZbbCMaAqgWOUUKFapE47xkRSrzOnKIwiCY6ZpSUlohyuyRnNP12wgswNeQgt17SDLrDFy5GICmgQlHdBqNECxfHg/+iUXQFO/2Qsvvg4X9FVe0fu/n89BeckheDzuX+tCDbs0BThHV6EOXrx0ZUZTgHoXWrXxDCzBSU9XoqYAYNSoUdh9uC2SktsGHVd85HvcMzIHjzzyiO413QzFKnYiMVbx0BRwRlc7d+7EH264B+ddMlLxuP9+PgcVpYd103MzFKuMoacrIxWCkRqrhgwZglKhL+Lig6d3P/rb1/jn32/CX/6iXD7khaNbsnhhpUZEC161JWaEl3Daqysy1qlwxRffTL9ctcUB9bpPqImJ97OKqvepXsvT6Jj6BVfiFF3x0hRvzOqKTVOAvMYvVJpqylc94uuCrxdToR10CW2coinAnbFKa7ppJV1JB8uLsYq14Mf7WUXXUayyC6foKpSxyshSCGYnk3FDrIo/XY+4WIVYVRWaWOUsk9XQCOFEse5hnraZIciMPjHF5VxqSMz2txdfWq0AJq2JY5m1SYpUdGrTeAYHKf3aCbNCYnk3CBmMmgKcoysehEpTgHldGdGUNG+AcpAyoyvSlEkoVgEwpisWoyVip6ak17JDUwDpyhQUqwCEL1Ypzc5Hsco6zjJZjAgniiNKZHKM9t9lnXFGa90JJfGpBSa1a1sRk1sFFElEsq7Ed9NoAAP0u2Wo6UprkWKtc3lVUpCmwk8kawowFqvk7zXFKsIskawrilWRhStNFqD8UOSiC0VNI68aQjlmZr0BzC9+pxXUWAch6gnKbULSWu07UtHTVShqGsX3yCm6crKmANKV06FYpUy4dEWaigzkz8iMppTOM4JdmgIoVjkBHrpyrclSwswD5FEjwvJyWRGiWv9Vs/3jrVwTiEwxKaG22vfu3bvx73//Gx6PB7fffju6d+8ephyGhnA9S733zGpw4znmxMo1RSKtkkIN0hXFKhZCEatIU5GDU+MUQLHKrfDQVUSZLCej9FLaITyeRIKZ8tQ3qv4OT6MXeXl5mD9/vn+bdMFHtdW+X3rpJUyfPh0A8MQTTzSbmkMjhKI7R6RqCnC+rmJKKhFTlRC0PbqiBlu2bEHv3r392+SLqJKunI38HbVjLBdvIiJW1dbrxiqpJihWuQeKVeEj5lQFYqKDzWVURQ02bdqEuXPn+rfZEavIZIUR6Usc6ilGm9PAQy3GjRuH8ePHGzrn8OHDyMhoWljv0KFDdmSLMIkdBUSz12YhEjXVt29f5OfnGz6PdOVMwqkppeuzEIm6khcAWSBN6ROu8V0Uq8LPgAEDsGTJEsPnGdEVmSyceXnCOZDSrilGzRCJYuJJp06dcPLkSQBAVlZWmHPjXJwwONkpuiJN6UO60odiVSCkK21IU2xQrDoDaUofI7oikyXBzMsVbmGahYSkj9pq35MmTcIrr7wCj8eDSZMmhTubjqY5aQogXbFAurJOc9IVaUof0pR1SFOEHB668giC4JhV7lKiM9Av6aZwZ8MSThBdcxfQx+VvAgCOHTuGnHOuQq8Otyoe9/Wht1BacwweD/vK6G6DNMWP5qwrUVMAMGrUKBz4PBYt4zKCjjtWsRd3TLoKjzzySCizF3JIV3xozpoCzuhq586dGHLl7ejZ9gbF474+9BbKao+HMmshhzTFB9LUmVg1ZMgQNPx8DuKiWwQdV1i6HQ/PvAN/+ctfbM0PtWRxRm9aUdbzCE7U1avf24bQrPhNWIM05TyEkyUQooPr54QGZ3R5IfQhXTmMmlqKVS6HNOU8hKJTEKKqgnfUV4bk+mSybIbEQxB8IU0RBH9IVwTBF9IUERXuDBAEQRAEQRAEQUQS1JJFECpUV1fjqaeeQufOndG2bVvcdtttAICjR4/i3XffRVJSEtq1a4ebbnJ3P3KCCCWkK4LgC2mKIPjCS1PUkkVELFFRUagX6qA0t4tP8KFRaNA8f8WKFejTpw8efPBBvP322/7tubm5SExMRHl5OXr16sU93wThZD5b9gXqhVrFfQ1CLaKitMMK6YogAomKikKDSqzyCo3wIngxVSmkKYIIZtsnO1RjVb1OrOKlKTJZRMTSpk0bpPrSsKvyCzRWVMBbWQlvZSUaKsrxfeVn6Ch0wfz589G7d2//P+nK3YcOHUJmZtPA1ZqaGv/2vXv3omfPnrjrrrvwxBNPhPx3EUQ4WfdjAfbUbEZ5xVG/pryVlSiq+BVH6n6Gx+NR1RRAuiIIOT169ECsNwY/V24JiFX1FaXYXrkWZ/nOQV5eHsUqgjBANnpgR/VGVFUUBcSqoxV7cKr+CMrKymzXFHUXJCIWj8eD33x7cXZUd+zFf9FduAQCBOzEFqQiHT8LOwAA48aNUzw/KysLxcVNA1cTExP929u2bYtWrVohNTUVJSUl9v8QgnAQF1xwAb758StcfuGVuEjoiyRPK5wSjmMfduHXop+QmZmJyZMnq55PuiKIQKKionDIuw9Z0V2xD7vQVbgAPnixA1+jHTpjl7AVAMUqgjDCt8J6fPPNNxjU73rkCFcgwdMCJ4RDOIR9OFi+H8nJyXjooYcUz+WlKdvXyVLr16hEJKyTQIQf6ToJQNOCcmdHdUcjGlCP+gCDpYX83f3oo4+wYMEC7Ny5E8uWLUNqair69++Pq6++2q6fwpQv0hRhN3JNAcCuXbtw+YVXohOycRQHsK/4Z2RkBK+dJYd0RRBNyHXl8/mQFd0VsYhDBUrRDmdhl/CtbjqkKYJoQilWbdmyBX+8fAja4ywU4YjfYGnBS1O2m6xly5YhPj4et912G4YPH45Vq1b59+Xl5QU0z/3444+48MILbctLcXGxv/nPTWlT+sbSz8jIwMcffxywXxAEnBt1EWIRhz3CdtvyEQqai6bcnr6b8y5PX0lTALB7924MvGAIdhZvZzJYTsYpuoqk94bS105fSVc+nw9do89HElLwo7DFtnyEAqdoCois98ZNaYc6fbVYtWXLFoy4fCR+Kt+pa7C4ItjMtGnThA0bNgiCIAiDBg3SPLZXr1625sXO9N2cd0rfXTQXTbk9fTfnPRTpOw2n6Mrtz5XSD2/6TsIpmqL0w5d2JKRvBdsnvlDr10gQhDlIUwTBH9IVQfCFNEU0d2yf+OKWW27BU089hRMnTuDOO++0+3IEEfGQpgiCP6QrguALaYpo7thuslq0aIHc3FymY9VmzuGFnem7Oe+UvrtoLppye/puznso0ncaTtGV258rpR/e9J2EUzRF6Ycv7UhI3wq2T3xBEARBEARBEATRnKDFiAmCIAiCIAiCIDhCJosgCIIgCIIgCIIjZLJM0tjYiOeee86WvqB2pk0QTsXu9550RTQ3SFMEwR/SFcGK7RNfqKG2Evju3bvx73//Gx6PB7fffju6d+/OLe233noLn3/+OQDgvvvuQ69evUznv6qqCkOGDMG8efMCtvPIv1ravPK/evVq7N27Fw0NDejWrRvXe6+VPq/879ixA1u3bkV1dTVOnjyJp59+GgCwadMmbN68GWVlZZg4cSLatm1rKn23YqemtNLn9Vzt1JRW+jzyT5qKXNwcq9ysKcDduiJNqUOxylz6FKtcqKtwLdC1dOlS4d133xUEQRBuvvlm//axY8cKRUVFQlFRkXDvvfdyTfutt94SFi5cKLzyyivCqVOnTOdd5LfffhPGjh0bsI1H/tXS5pX/w4cPC4IgCKWlpcKtt97q384r72rp87z/+/btE+677z5h7dq1/m3Dhw8XvF6v8O233wrPPfecpfTdiJ2a0kqf53O1U1Nq6fPIP2kqcnF7rHKrpgTB/boiTSlDscpc+hSrmnCTrsLWXfDQoUPIzMwEANTU1Pi3Hz58GBkZGcjIyMChQ4e4pn3zzTfjnnvuwY033ogpU6ZYyL06PPKvBq/8d+zYEQCwcuVKPPzww/7tvPKulj7P+5+dnY3c3Fy8/vrr/m3V1dWIiopCZmYmDh48aCl9N2KnprTSt1tXdmoK4JN/0lTkEomxyg2aAtyvK9KUMhSrzEGxqgk36SpsJkttJfBOnTrh5MmTOHnyJLKysrim/euvv8Lj8SA9PR1FRUUWcq8Oj/yrwTP/BQUFyM7O9gsC4Jt3pfR55f+TTz4BALRs2RIVFRX+7UlJSfD5fCguLkbnzp3NZ96l2KkprfTt1pWdmgL45Z80FZlEYqxyi6YA9+qKNKUOxSpzUKxyn67Ctk6WvM/sRx99hAULFmDv3r3c+7mLab/44otITEzEiRMncMMNN6Bfv36m8y8IAnJzc7FmzRrMmTMHr776Krf8q6XNK/+rVq3CzJkzkZOTg4qKCsTHx3PLu1b6vPK/bNkyHDx4EFFRUejcuTPWrl2LxYsXO7dPboiwU1Na6fN6rnZqSit9HvknTUUubo5VbtYU4G5dkabUoVhlLn2KVe7TFS1GTBAEQRAEQRAEwRGawp0gCIIgCIIgCIIjZLIIgiAIgiAIgiA4QiaLIAiCIAiCIAiCI2SyCIIgCIIgCIIgOEImiyAIgiAIgiAIgiNksgiCIAiCIAiCIDhCJosgCIIgCIIgCIIjZLJcxiOPPIIvv/wy3NkgiIiCdEUQfCFNEQR/SFfugkyWi5g9ezbOOecc1NTUhDsrBBExkK4Igi+kKYLgD+nKfXgEQRDCnQlCn9deew1XXHEFLrnkknBnhSAiBtIVQfCFNEUQ/CFduRNqyXIBJSUlKC4uJnERBEdIVwTBF9IUQfCHdOVeyGS5gIKCAtx4443hzgZBRBSkK4LgC2mKIPhDunIvZLJcwLFjxxAdHR3ubBBEREG6Igi+kKYIgj+kK/dCJssFDB8+HA899BDy8/NRV1cX7uwQRERAuiIIvpCmCII/pCv3QibLBZx77rl4//33cerUKdxzzz3hzg5BRASkK4LgC2mKIPhDunIvMeHOAMFGXFwcsrOz4fP5wp0VgogYSFcEwRfSFEHwh3TlTmgKd4IgCIIgCIIgCI5Qd0GCIAiCIAiCIAiOkMkiCIIgCIIgCILgCJksgiAIgiAIgiAIjpDJIgiCIAiCIAiC4AiZLIIgCIIgCIIgCI6QySIIgiAIgiAIguAImSyCIAiCIAiCIAiOkMkiCIIgCIIgCILgCJksgiAIgiAIgiAIjpDJIgiCIAiCIAiC4AiZLIIgCIIgCIIgCI64xmSVlJRg9uzZ8Pl84c4KQUQEpCmC4AtpiiD4Q7oi3EpMuDPASlpaGk6fPo01a9Zg2LBhltLy+Xy46aab0LdvX9TX12Pfvn1YtGgREhMTmY+5/PLLkZCQAACIjo7GZ599BgCYNWsWjhw5gqSkJNTV1WH69OnweDx4/vnnceDAAWRkZOCXX37BwoULcfToUUyZMgWXXnopDh8+jPT0dDz55JPMv2Pfvn2a59fU1KBv374YNGgQXnjhBcU0evfujS1btiA6Oprpml9++SUmTJiAl156Cddccw1zXq2idr8J8/DUFAAcP34cU6ZMwY4dO7B161bV45TeSy29KWlH1KHaO272fdHSlJ7eRNyiKQD46aefsHz5ciQmJmLTpk146qmncNlll4U0D5EET02xvm9qz1BLU2rnaL0PVr7BWt8GtZgpxU2a0vpeEeYIR6xSO0ZLl2rPXu+dYCmrGcnjgQMHMHDgQGRlZQEAysvL0bNnTyxevDjgfDfpiuU74UgEF7Fjxw5h9OjRltPxer3CM8884/972LBhwrJlywwdM3Xq1KB0t2/fLuTk5Pj/vuWWW4QVK1YIx44dE9LS0gSv1xuQ1rfffiusWrXKf3yPHj2Ebdu2Mf8OvfMnTZokjB49Wpg8ebJqGj6fj/l6InfffbewYcMGw+dZQel+E9bhpSlBEIT33ntPWL16tdCrVy/N45TeSzW9qWlHKy1BMP++aGmKVa9u0VRjY6Nwww03+O/t0aNHhaKiopDmIRLhpSmW903rGappSu0cvffByjdY7dugFjPluEVTet8rwjyhjlVqx6jpUu3Zs7wTLGU1I3k8efKksG7dOv/fU6dOFb744oug892iK9bvhBNxTUsWAPTs2RN79uxBQ0MDYmNjTacTFRWFKVOmAAAaGxtx+PBhnHfeeYaO2blzJ2bOnImamhr06dMHQ4cOxa+//uqvOQCA7OxsfPbZZxg4cCDi4uJQXl6O1NRUVFZW4oILLsDFF18ccE2fz4ekpCT/308++SQaGxsRHR2N5ORkPPLIIwHH9+nTR/X8pUuX4sorr8QPP/yAyspKxfuwevVqTJgwARs3bsSGDRvw+OOPY/z48SgsLMT+/fuxZs0atGrVCgAwYcIENDQ0IDs7G4cPH9bM4/Tp0/H000/j448/xrZt2/DZZ59h9uzZ6NatW8D1//SnPynmbcqUKbjqqqsCtindb8I6vDQFND3PjRs3ah6j9l6q6a1FixaK2tFKC1B/X6xoSmufiJs0tXXrVgiCgFdeeQXV1dVIT0/HvffeG3QuYQxemmJ537SeoZqm1M7ZsmWL5vtgVlOA+rdBLWaOGDHCv81NmtL6XhHWCHWsUjtGTZdqz17vnVCLY1Z0lZ6ejj/84Q8AgLq6Omzbtg1PPfVUwDFSXXXp0gVvvvmmqrbCrSuW74RTcZXJAoB27dph/fr1GDx4MABg165dWLduneKxd999N9LS0lTT+uSTTzBr1izceOON6N27t6FjHn30UVx22WXwer24+uqrkZycjD59+uDxxx9HbW0t4uPjsW3bNmRlZaFVq1Z4/vnnMXLkSLRv3x6dOnXCOeecE3CdlStXYvDgwejevbv/ut988w3Wrl0LALjmmmswaNCgIGOmdP7u3buxZ88eTJs2DT/88IPq7x82bBheeuklAMA999yDJUuW4IorrsD//d//4YEHHsC6detw6623oqCgAL/88gs++ugjAMD777+vmcfHH38cjY2NWLZsGeLi4pCfn6/YXeI///mPat7kKN3vq6++mvl8Qh2emtKC5b1U0puSdvTSUnpfampqTGuKdZ+bNFVYWIjNmzdj+fLlSElJwV133YW4uDiMGTOGOQ1CGd6aUnvfWJ6hXFPvvPOO4jmJiYmaafHQlBy1mCnFTZpiifWEeUIVq1iR61Lp2bds2VL1nVCLY0bLf1osX74cf/7zn4O2S3UFqGsrISEh7Lpi+U44FVeZrNmzZ2PUqFHIz8/3i+yCCy4wXVM0ePBgDB48GKNHj8bcuXNx//33Mx8j9lOPjo5G//79sWHDBkydOhV5eXl45plnkJmZiQsvvBApKSn4/vvv8fzzz2P79u2IiYnB5MmT8fTTTyM3NxcAsGHDBmzYsAGzZ8/2X/eHH35AdXU1ZsyYAQDIyspCcXEx3njjDaxcuRItW7b0v6Ty81euXImEhATMmDEDX375Jerr6zF79mxMnDhR956ItQ2ZmZmoqKgA0PQhO/fcc/3HZGdna+YRAJ544gmcf/75+N///V/V/ujDhw9XrMmYOnUq+vfvH7BN6X7LTVZjYyNmzpyJwsJC5OXl6f5Wgr+mtGB5L+V6u+KKKxS1k5KSopmW0vvSokUL05qSorVPCadqqlWrVujevTtSUlIAAFdddRU2btwYZLJIV8bgrSmt943lGco1dfbZZyueM3LkSM20rGpKiS5duijGTD2cqim9WC9CmjJOKGMVC3Jdqj37O+64Q/WdUIuJDQ0NlnQl5b333sOqVauYf5dcW/v27Qu7rli/E07UlWtM1pw5c9C9e3cMHjwYM2bMgNfrRXR0tGZNxujRo9G6deug7bt378Zvv/3m7+5w9tlnY//+/QCaBgx26dJF85i9e/fiq6++wtixYwEAv/zyi7/ZsnXr1njuuecAAKNGjcL999+P/fv3o3Xr1oiJabrd7du3x8GDBwEABQUF+OKLLzBnzhwcO3YMhYWF6NevH3JycrB582Y89thjAID169fjnHPOwR//+EeMHz/e/1uUzn/iiSf8+2tra1FZWclksAAoDiQ8//zzsX79ev/f4n1QyyPQVKB+7LHHkJubi+uvv94vTCmswte631KqqqowZMgQzJs3TzGdXbt2YdOmTWhsbESfPn3Qr18/putHKjw1pYWoKa33Uk1vZ511lqJ2pIUWeVpq70ubNm1Ma0p8V7T2qeFETQFA3759cerUKf9zLywsDOrSAZCujMBbU2rvm6gprWeopqk///nPiudopWVVU1ooxUw9nKqpI0eOqMZ6KaQpY4Q6VumhpMvTp08rPnutd0ItJq5du9ayrgBg48aN6Nevn6HulXJtOUFXANt3wom6coXJ+vDDD1FeXo4hQ4YAAK6++mps3LgRAwcONFWTER8fj4ULF+K///0vGhoasGfPHrz88svw+Xy45pprsHHjRtVjgKbaw4KCAhw9ehTl5eXIysrCHXfcAaCpT3j//v0RHx+PYcOGoUePHujWrRs+/PBDTJ48Gampqfjxxx8xe/ZsfPfddxg5ciR69+6Na6+9FlVVVXjggQfQr18/DBo0CN9++y0ef/xxJCcno6SkxF9jIKJ1PgDk5+fj888/R319PZYvX47bb7894PyCggIUFhbi9ddfx8CBA1FYWIhFixZhzJgx+Pzzz7Fz504MHToUQ4cOxUcffYS//vWvyMrKgiAIWLp0KWbPnq2Yx0WLFmHevHlYs2YN1q9fjxEjRuDll1/GgAEDTD1/rfstJSUlBenp6f6/Z82ahczMTHz//feYPn06pk2bhsGDB6OoqKjZ95PnrSkA2LRpE5YuXYpjx47h2WefxeTJkxEfH+/XlBi8lN5LNb1lZmYqakdEKS219yUqKsqSpvT0BrhHU0BT0Jo5cyYmTpyIzMxMFBcXK85eR7pig7em1N63vn37BmhK7RmqaUrtuScmJqqmZUVTgPK3QazhVoqZUtykqSFDhmh+r0RIU+yEK1apvbNquhw1apTis2/Tpo3uO6EUx6zqCgDeeOMNvPLKK4r3QKqrGTNmYN26dYraev3118OuK0D/OwE4U1ceQRCEkFzJAjU1NQEvTm1tLWpra5Gamhq+TBGO5MCBA3j22Wcxa9YsDBkyBPfeey/27t2LcePG4YYbbsCGDRtw8OBBfPzxx5g6dWq4sxs2SFOEEUhX+pCmCCOQptggXRFGcJquXNGSJe/TmZCQ4F+vgyDUaNOmDcaMGYMff/wRGRkZaNu2LVq1auVfc6M5Q5oizEK6UoY0RZiFNKUO6YowixN05YqWLIJgQRAE5ObmYs2aNZgzZw4+/vhjZGRk4PTp03jsscewbt06fPnll/B6vbjzzjsVm5sJggiEdEUQfCFNEQR/nKgrMlkEQRAEQRAEQRAciQp3BggiVBw/frzZd70gCJ4IgoA9e/aEOxsEEVEcPnwY5eXl4c4GQUQMjY2N+Pnnn0N+XdvHZHm9XsyZMwdt2rRBaWkpHnzwQdVjM2I6oneLQXZniYhwPi5/M2jbzz//jNtGXITYGA8++Pg3tG/fPgw54wNpigg1SpoSBAEP/CUNH6+vwuT70/DAo0VhyBk/SFdEqFHS1ba1nTFmwgm0So5Cwdqjti+oayfGNNUJvZPs05T39/XUpEQnJ9t2PSI8fFy2KGhbY2MjRv1PGrZ9X4enH03H7eOPhSw/trdkffDBBygsLERFRQUuueQSzWMbhDq7s0M0Q3766Sf8zy0X4a1X2+HF/8vETUPOxtGjR8OdLdOQpohwIxqshHgPdn1+Fj76rBqvzWgT7mxZgnRFhJttazvj3slFWLWkAx6bkIahgzq4uveFMU3Vcr++t6LC/08kOjnZ/4+IfBobG3HXbWm4qHs8tq3tjLy3yvCv161Vsv/66684//zzmY61vSVr7969aNeuHe677z7ccMMN+PDDD/378vLyAlZlrrdBZETz5qeffsLIW3tiySvtcFGPeAD43Whl44OP96NDhw5hzqFxSFNEOBEEAfffk4YWiR7kPpkBj8eD9+a3w233HgfQBg885s4WLdIVEU5Eg/XegvbIPisW2Wc1LSB74+COWPPJEcML6zqBUGlKqZUKoJaq5o5osHLOj8ej/9ukn1VLOmD43UcBtMcdf1Nv0dqxYwe2bt2K6upqnDx5Ek8//bR/33vvvcfcG8p2k9W2bVtUV1cDAHw+X8C+cePGYdy4cf6/U6Iz7M4O0YyoqqrCbSN6Ytncdriwe7x/e//LEzHrmUwMuz4bW7+vCVrh3OmQpohwMu2fmUiIP2OwACA+PgrvzW+HP/31GDq2F4OYuyBdEeGiqKgIY/9+AvmLOvjNFQDc+MeW8Hg8uO3mTvjsi+ow5tAcdmqKjBWhx8P3Z6JnjzMGCwCSW0bh/bc6YNioo8i64Av0799f8dycnBwkJyfjhRdewIgRI/zbv//+e/Ts2ROfffYZUx5s7y74pz/9Cbt378b8+fNx00032X05gvBTXl6Odh08aN+tEad8VQH/evTxoRE+/UQcCGmKCCd7D1+PW2+PxWmhOkBTlbE1GH5LPH4+MTHcWTQF6YoIFydOnECPC6KRklUfFKsuvw44WdYY7iyawk5NSbv9URdAQom9B/ti2J+jUeStDPhXnVCNwUNjsWDBAvTu3dv/T9qyCgDZ2dnIzc3F66+/7t+2Zs0aDB06lDkPtrdkJScn47XXXrP7MgTRbCBNEQR/SFcEwRfSFOFkBgwYgCVLliju++STTzB48GC0bNkSFb+3mpaUlKCyshKvv/46jhw5gnfffRf/8z//o3kN200WwRdP28yQXEc4URyS67iVX3/9FcOGDcPu3bvDnRWCA6QrZ0C6ihxIU86ANBVZeNqFboIh4bg7x9fyoLi4GNOmTUNUVBTGjBmDMWPGYPHixZgxYwbWrl0Lj8fDNE6STJZDCFVAYkXMT3MOYLwGPhLhwWmaAkhXAOnK7ThNV9L8NFddkab44q2oCGnXw1AaJyOI+WqOZuuuu+4K+PuOO+7w//+gQYOYKy3IZIUApwUlI5jJe6QEOl4DHwn+uFlTAOmKdOVMmpuuSFOEfHp36X954FQDZYTmbLasQiaLM3YEqcbMVszHxhSHf5V4+T0IZyArF2Kws76l4r4a4RTy8vIwf/58/zb5jEfiwMe7774bf/zjHwE0DXycMmUKZs2aZW/mCQD2FfxYdeUETQHO0tXPDS1QXx8ftP2gV8DuLVvQu3dv/za5pgDSVbjhrSkWLTlFR1KU7kO4dFXii9WNVdKB+RSrzKNkrKxi1Uw1tOXfchZ7QnkGRrPwMIyhNmq76lOQWh9sdQ43+tA2BNcnk2UC1gBlxBzxQuua4QpynraZjq0xHDduHMaPH6+4j9fAR4INp+pK73pOLDyGk759+yI/P191P+kqdDhJU26rLHQaSpUVIqQpY1gxVqxGww7TZBR5HnibLjN42rVpVi1iZLIY0AtUrMGjLiO45ldO/Mk6prTMIM0nBTF9eA18JIJhKfzx0pWdmgLO5DPUmnJy5YUWpCt7CKWmROzSljyfFK+0IU3ZA4uh0jNTtZlsWmIlodi85qR5DZfhak4GCyCT5cdsgGINRqwYTc9skHNbV6lwwGvgY3PGbAUFT12RppwF6coaTolVRtO0YsioNVkb0pQ1rJgp3iZKD/n1zJoupd/jhJauSKNZmixeQaq2dTS3PElJOO1lPlaeJ941i7xav+S17mbHBBitua/wJmBnbZbivhrfMVN5IIKx0i1J+g43N00B/AqIodIUAPxS1w4VtcHjRw7Wn8AFpnJBKOHkWGVEU4C9ulK6B27TVYk3iWJVCLDS3U9ucGrS+eoq8ZQxTQFn8mSlhUvETBdHI8ZMrxXLyJgvu1vE1Gbs3LRpEzZv3oyysjJMnDgRbdtqj+yKSJNl5KNopNBXm+axlrHfSSgRNPfLA6KZAqLdXaTMwGOwtVu7SEUCVnSlZaR46MqopgB2XTUHTQGRM9Oam3ByrLJTU4BzdcVrUhCKVeHDTiNVm8aej4QS9mOVrmXEdNVmxnMxWkZpaJvMbLR4zrTIOrZrV20WWtbEBW0/0gBUbtqEuXPn+rdJxz2qzdg5e/Zs5Ofn47vvvsPChQvxz3/+U/P6rjJZVj9+LF2TxMAhBqn61DPH1af5gs6NK4lSvV5cqfJ2pQCoFdCkwSwSCoZWoUIhP3gUKFgLf9L33qyujGgKYNMVaaoJKhTyI9yxCgjWldFYZTROSfMEGNNVJGsKoFjFE7MFdZbuflKTIzVT9YzGKk5mquSGzKzpYjVb4TBabu5iOGDAACxZskR1v9KMndXV1YiKikJmZiYOHjyoew1nmazYGEvBSavftlr3CXUzpR1MAo9VDmBimmoFw4D8/J4PliBmpeuTiJmgZmSAfyjGp7h9TZeQYFFTALuutMyUEU2Jx1vVlJgXJ2sKaLq/rDqwe6ps0hQjIYpVSq1TVmKVmtGqT+UbpwBjurKjKyHpymXExto2Dbpa65SakWpo3aicxdPWiszS6xk1XMzXUBkjxtt8WTFXas/JaJp2rkGmNGMnACQlJcHn86G4uBidO3fWTcdZJksFo9PLavVHr03zBBX8fKlNgkpKqQEAJMrSqyo7syWqNPiWadUQAuwBLJRYqZXnOd2vk2c85NUn16nw0pW88Fef5tPVFKCtKxZNAewFQ5ZCoVWk98eoruzSFEC6CiWhiFWipgDjsUoLI3HKbk0pVWRQrFInkjUFGBsrpNXdTzQ5oqESzVRsWh3apCoX8ItKm67dUBJ/5niLZkuaF8A+wxVwPZ0JOniaMLPT14vnOaF1TG3Gzoceegi5ubl+TenhKJMlxETrfhTVapG1avzE1iaWgp8SSSk1/uDlS20MCF56hUERIzWFoSgQijipq4Yda7VUehOwp6q94r4aX6zmYsS8+uSGE3s1FVhBIR7Nqis1WDXlZCJdV/trMlFSlRq0/UhdHSq3aS9GTLrSa/HlE6vkuF1XTuqua4emyhoTVWNV7e+xSm0x4ojQVGyU6enQWY2UiJqh0iI2rQ4NJfH+NJWMlrxbobz7oBq1adpGqyY92tSkGEYwOoGGneuAOWGNMbUZOwcMGIABAwYwp+Mwk+XRnRJWbdC8Wo1fh5QyAEDX5JPokRQ8Q4/4UdtXkYGjZSkB+9RqBc0EKxaDFUpzJYUleFmd/tcJgVEJrcWIAT59csMJi6YA9UHz9anKtehdU8rQNfkkAKjqal9FBgCo6spo65Uc1lr3cOqqOWpKbzFioHnoiiVWSc1UuGOVkd4WLJoyOvsgK3bHK6fqSmsxYsD9mvLFROm2tqhNQqHWMnVOSlOMuqDlUQBATmKh/9wdNWf5/39XZQf8WpYRkLbYggXAb65EWFuyjJguJxgtwPy4LqNT2Ydq7NhPVW2REBdc8XSsrjQk13eUyfLFeDRnHtOq7cv6PUAB8Bf+WOiRdMwfvDqklOFoWYpiIdBsLaAdBUGjY0hYsWMdFb20pQHNzuubgVef3HCjNAsYa2tvlqTgp4RSYVCka/JJv9ECmgqCUaUxEJVkpWadd6UFaSp0RIKuzMQquaYAZ8UqVsJVaSHHrnebpaui03QVCZoSYrRn8lNrmRJbpeSGSo7UYEn/Fs3WOSkn/UZL2kVQCbPdBsXfwNrCJcfslPFGzVko1v5iWe8r1GuQ2YGjTJYQrV34k9ei90g6hosSDgEALoqrDEpvZ33TOi47a7Owp6p9UFO8vKY9HAELMBe0WNc9sVpwZLmOlWuYCVZ2raUkh1ef3HDii/GoFv6khkreMqWmK1FTwBldyZHqSqopHuaKFdKUMUKlKSAydMUSq+QtU0Y0FY5YxdKl3WjFhVmsvP9a1zWbrllTRbGKHV+0flc/sXXqgpZH/SYp5/eXtk104Lp9Rd5K7PhdnDtqzgpouQKaWq8ABLRg6ZkrOWoTZEhR61Zo1miZwcrU8GbSN3MtI4aK9/pkduIok+WNB8ovqQeAAEMFBNb4yWvPpUErPSoJp3xV/u1iABNrAZUKgEBgIVCER2FQL3DZXSsYio+8mWl75eeZvjantcuU4NUnN5w0tgAqz/b5C37RQEDhT0SqqYsSDgUVBEVdSTUlRdqFSclYiTjVYBkh0jUFkK704Bmr5JoKV6xyEnZpzOzaXhSr7McXL6C+d1PZTat1StoilRNXGmSupOTElWJHfSpyEguxo+asIGMl7RIIsJsru9DrMsgLNZMiNUS8jIxSOkrGy8z1jKxZFi4cZbLiE+sx5IIf/YFJrPlTY2dt1u//lPdL+7ADwbWAgPYMTErr9+gRacHOKLyDo15g0ltvqboxLqDLmpQ6r6Nef1uIT6zHoCu/BwAmXbFqCggeG8KiKzOaAoJ15cQZO+3CjgInq67UntfBqjScrkgP2n6i5hSgXuaJGCIhVgHNW1cioaqY0ItVFQ3xzTpWJbeoxb0XfAUAQa1USuyoT/W3VCnur8kBENxiJTdWgL65kk6aoQWrSdMbm2UWqwYtVC1ERq6jdT9Ypt03y+rVq7F37140NDSgW7duuO222wAAR48exbvvvoukpCS0a9cON910k2Y6jlJufPSZmyQNWtLaP6VadHmAAqBa+BPRClhiNyoW5OlorUWihF21W6y1+azX59E6YOW3Kn1L5eOIAARMb0ycQV4YZNUUEFzwA0KrKaOEW1OseeDV4sZTV9LCn5Fn1twIVazS00IodQUEv2vSd9iq7ozqQet64YxXrJqiWKWMVjfAIm/wsBCxG6BW9z89WE0UD+zsJigaEl6tYWYNn5Hrs1xDPoGI1FCJzy4W5maNVKNXr14YNmwYysrKMHbsWL/Jys3NRY8ePVBeXo6hQ4fqphMSk3XttdfimWeewVVXXaV5XJ03xh98pIW8dxWOldf4aM22JKIUZJSCFMvHT21KdyXCUTvIu6CpFVx5XlOtYoolUHWQDChvDrDqal9FBvZVZKBr8km/rpQ0JR4rItcUYF5XrAWKqrJE/7k8CoU8sVtTQLCueF3TiK5IU803VhmFpyacmpYaFKvYYdXVrsoO2FXZARe0PBo0hkp6jIjWjIBKiC1NeqZKq7Cudg29GQhDOQbLyBpcdnS5s5Km3FABwaYq9vf/lz4nsWupnN/K0xEb1SJoe3FtS2zatAlz5871b5PO4NmxY0cAwMqVK/Hwww/7j9m7dy9GjhyJ7OxsPPbYY3jzzTc1f4/tpZi1a9ciKSnJ0DlKU9QCysHICHoFP6UPn1I+xHON5MfI4qlugHerlOqxGt1gmnPQMqOrLw53DdpmVVOAfu2sEV0ZQfoeNXddWdUUtVq5K1YBwbrioSmgeXYZVINilXWM6urXsgxm88RqmkSsrpWllQf/NcJorpRw+rglJVMFKHf/4/38BgwYgCVLlqjuLygoQHZ2tt9wAUDbtm3RqlUrpKamoqRE/+HaarIEQcC2bdsCFqbUoq4+Fr8cbGdLXrQMldI0umLtozhVrhStfvJ6XQWNfLRZMBMMlfLAM6ha/Y2s4wukz+EXDmZBDq8+ubwxois7NQVoFx7kupLW6BvRFUv323DrSu36vHQVKk0BzVNXTo1VdmkK0NYVbz35r1lqT7pWsPJbKVZpY0RXlfXx+Lrw7KDtLOOcpMcoGS55gVyt1UNEbvIA7UkylGYQNGqu1MyGmbSMonVtJazkR+taeuOqGkri/c9X/jz8f19mPm9SVq1ahZkzZyInJwcVFRWIj4/HggULMGnSJCxevBipqamYNGmSbjq2mqwVK1ZgxIgReOeddxT3y1cw95ZVq3ZnYKlpZa1FN7I2iRwrBssOtGrzDdXCpZoPgDwDMkvQMtLlpbYxRrWGt8Ebjby8PMyfP9+/TdpczKtPLm+0dGVEUwA/XbFoSr5ulojTNAWotzzbVfhUu36oMNqNrLgyGeUKuiqraYEtu7YEFKrki6g6UVdujVVqmgL4LFDMG5Y4w/ruhzte8Y5V1fVxurFK+g5GWqxqLK02PQGFUquGnpHSQrpmFqC+MLHZViujpobnlO9Gr+20a4ZqBsjhw4dj+PDhQdtzcnKQk5PDnI6tJuvAgQMoLi7Gtm3bUFVVhfPOOw+ZmZn+/fLgG985K+B8rWBlpGVKPo2u2hokclhneHLKjIKRUAAU76XZ2bKMMm7cOIwfP15xH68+ubzR0pUVTQHsulJahFhpsgw5rLMRNjdN2X2tUOqqb9++yM/PV93vRF05IVbpaQpQ1pUbNSUaJEutSKlsRsu2VrkwxCrpOyjFiZoCDMaqszoFnW+0VUq+ELF8AWIAAWO9pOO7AO0xXmZbrngZDDNGyw5DZZeRBJruq9FZAo0uCB1qbM3d5MmTceDAAXz44YeIjo5GSopOn/FoQXHwNWCu5lwpaInblRZRNTIdtVMCVigJZYFTt9tliAIbjz65vDGkKw1NAXx1pQbpSp1Qt1hpdhELkaYA5+mKYlVoCcV7HyptUaxSx4iuPDFCwKLDUrSMFKBsptQQ18ySozTFu954KymhaCGSXkM0O6FsmWIxWFbzY9Q06Zmyk+UtEY3gMYEV1QmGrmMW2y1gly5dsHr1aqZjo6J9SEqpYarpU1uXZGdtYA2jUoAClGdRc0MtoB1o1QaGuhAImA9KvAfv8+qTawesuhI1BbAtQqyGVFdGNAWQrpQgXTlPV5ESq4DI1pWIkr7coqvmoimAXVcx0V60Sa1QNFTyBYj1kK+fpdZ6pTXduxGDpQZrq4yZtCPNXLGidU9DORU/K45qZ2sZV4f+nfb5/1ar3dMqDF6UcCgoeInorffTnAqAImrfq5B1PbRQy2d2mnBWePXJDSex0V7LmhL3K+lKrwAIOGc8SKgIt6YAvoaKdBUMxarwEbZxkhSrbCU1rgY3d/wBQHDLlJaxahPdUnH9LEDZXOmto6U05ofFBFlZDLehdaNju71pGSwjxor3YsFyQ8VzjSyeOOqpJkY1oEfSMd0adbXAJKI2NoQlYFkJVlofYacFwXAUBK12m9ArACoNHPc2RKtOp+zzOuuZ2EFqbE3QQsRy7NYUYP7913tn3KArJ2sK0C4Aqk03XV0Rj0YFXdVVx1nOjxuwM1bxnM1WCTPvjFN0JtWXXbqyQ1MAgnoUyGls5rGqhaceo1N2GD6vyFsZ0HLFo9VKRM34cDcMDjRYVswV7/sjojaFu5VJTtRQm7EzNzcXaWlp2LVrF/72t7+he/fumuk47snq1agrwVIABPjUsJv9AIvnOSFYhSJQAfaYKoBtfTMiEKM16lqTWPCcel3Eiq6cpinAfboiTRnHaKzSmsTCDmMVyjF2ocIOXdllqgDSlRESo7xMx5npCghYa7WyyzSoXS+cmJ3Aw+6WKsD4WD0rqM3Yeeedd6Jjx454//338emnn7rPZBmp+RPRKgRqGStAOWDZGZzCabZ4zOikRigDFaAerKxMzx+J1Pia1kY3qiuzxkoklLoKdwVGXGlkaAqgQqARnBCrAPvNlBMqMXjB615RrOJPjS86yEDJkU9YYWR2QBGWVis7TZXS9ZyAkrkKt7HiMTV/Q2kcfN7gZ+6rjsGmTZswd+5c/zbpjJdqM3aK27ds2RKwXQ1HPeUaX6zq4F8RlqmhAf1CoEgk1vapEcr1QdQwOuCXd991I/BqLg43odYUQLoynIZNrb5GCJXBigRd6cUqNU0BFKtChZ2VFEpQrLJGtRCnOOsfEGymRIwuGqxFKIwV4HxzFUpjFe6JKgYMGIAlS5ao7leasVMQBMydOxd/+9vfUFVVhdatW2tew1FPu84boxmcpBjpCsgCy8fUaJpqOL1mMNTBSQvpc5UGMfnzFwuIrO8PC7yai8OJFU0B1nQVSk25AScYKRElXalpijfNXVd2xiqeenJ6nJISyoo/NShWWaPWG6tqpqTwNFahwmnGSkRqsLTMVbiMlfhcpS1a8ucvtmyxvDtGUJux8x//+Af279+PnTt3on379pg6dapmOs588iroBSsRvUBj9qPqS22MyEKhk0yVFvLnrRXI/DR41J+Z14O8vDzMnz/fv8mO5mInw0tTgLl3gJemnFggdKOumDQFIKoiWvG5eaqisWXLFvTu3du/Tb7oKOnqDLx1JR5rVVNO1JMcJxgrNczEKk99lEasAvLy8pCXl+ff1FxiFYupkuIkg+VUcyUS7u6ArKg97zapFYrvBw/UZux88cUXDaWj+wbs27cP//nPf1BeXo5OnTqhX79+uPjiiw1dxCxqHyO1gCXC+wNKhUB1eNxr+f3VS5PnYOJx48Zh/Pjxqvt5NBcr4TRdhVpTQGTqyimaAozpyshYEj369u2L/Px8zWPs0JXTNAW4K1Y5TUtKOKE1WHqPQx2rpJUVctweq2q9MboFZi1zJcJakLfLjDndWOlhZ7dJ1fFwBs2X2nTtdswyaBXdt2HDhg249dZbcfDgQcydOxcFBQU4fvw4/v73v+POO++0NXMdUsoUg5f44dILYFaJ5NrAcPTvt3I/wzFLE6/mYiXCqSsl3KIpwLm6crumAHfrqrnGqkg3VkBoKy+sfqMoVpkjIboxqJAsN11KhWsW46VEbFodN6OlZ6xYu+WFi1CNR1O9vnzhZ4aZBQE2UxVbEoPohuDnE1Udmm+f7tfE6/WisrIS1113HQ4dOoS7774b9fX1WLFiBebNm4f77rvP1gwqfaDEYCb9mFkJYpFsppTgWRjk2X1SGgSNBio7Zmri1VysRDh1xaopIHy6cpumeGKXpgBjurJr9jO7dBXpsaq5xSmAYhUrkRCrEqIbDE3DLRowaeGbxXDxbMHSMldGJ5QIB+E2V1J4GisnofvVGTduHF5++WU8/PDDaNWqFdLT05GdnY0+ffpgxYoVXDMTH90Y8AEyMjA0KaVGM3g1xwAVblim8TYSrNSCk7jYrpsIla5YNaVWE69FJLdKORWjmgLM6Yo0pY2TYxVAujKK/H4pmTuKVfbrSs4FLY9antCAd7dAI8YKaN7mSrxXatczuhYWoLweVk5iodks2o7u19zj8eChhx7CAw88gPXr1+Prr7/GBx98gIyMDNx+++1cM5MY1aC5n+dgYi3sDFChWghYMw+//z5etYQs90t6LSOFQGmwUgpQeguCRjV4VPPnCWMlTqh0lRjVgB5Jx1SnmzYyPsupunKCpoCm3xcuTQHmC4FyXbEsshtbFoW4+OA8xlR5dM+1i+YYq4DINVR2dL/Vu1dGKiyMaApgiFV1GrHKG/m6auGpR05ioeo07gD7JBihNFYAmSuAfRFno2thSU2V3EzlSIO/DTQ2NmLmzJkoLCwMmHTGCMxf+JiYGAwaNAiDBg0ydSFWlAqEWgs2As4t/AGBBUCRcBYEpRgpFJq5R6yFQDVTBWjX/LEUBp1OqHSlhJGFUM3QHHVltALDqq5YjZVeAVCENGWNSIhVTtCRFcIRq/RaqEhX7EiNltiKJTVXoZiunWXyCiVjBTQfc6V2j8wYK6eYKjlVVVUYMmQI5s2bF7B9wYIFKCwsREJCAi699FJcf/31qmk4ahqU0oZErDl+EQD7CoChqvVTexecFsDsuB9GA5ZasNIKTDtrs7CzNktx33XGsqsKj1qMcFPji2XSFOB8XblFUwD/+2GlEMiqKQC2awqIDF2VNiT6uwi6OVbJNeUkLWlVAvK4N2ZarZRiFYumKFbpUy3E4V/F/fx/O9FYAe4yVwAfg8Vyb4yaKyVjJZoqo2Zqh+TD1U6ehzIgRqHjQUw1sGnTJsydO9e/TT6DZ0pKCtLT04PO7dmzJ7799luUlpaiurraPSarwRuNXw7Kb5H5QBXqbhRa74WTgpcdsBQCtVqsAGOFQTli6+e+igw8xGm9RR61GOGmsj4eR8tSuBX+wtE1qbnqikdLsBSzmuJNJOiKZ6xySpxyopZCWVkBmItVRqFYpUxpfSJ+LcswZKj0Cv/ygr/Z6dXVjJWIUw2WGYzeIz1zpWesRNTGVbWJbgkAKPJWBu2Tmiux9XMwQ55FBgwYgCVLlhg4o4k33ngDzz77LFJSUrBjxw7NYx1lsnzepg8qa6BySl90PdPtxOBlFdaBwUa6V4jBp0fSsaCaP6UCn3ywudL4oqhG9ecT9fsCj2qLEfOoxQg3Pm+U32Cx6Io0FT6MDLbXawWWomWW5PtUNdUr8LzYCiAuLji9mCroLkYcKboC3BWr3GSueOKaWFWv/ow8OosRR4KmGr3RKCpNtmSqrB4vRc9YAe4wV3au2xVkYnXMlVZXQCk7FD9KTdukY/bkk6L8WpaBR87Xy7V1Tp06hbS0poc/ffp0rF69WvVYR5kseD2GagLlH89QBjLW1sxICmBmagFFWAqD4ng8aU2fFNbB5EbQW4xYCSO1GGHHoqYAZ+oqkjDTYmUGJV3ZoSmWxYiVaE66Cne39UjHzgksxO1qscrMYu8s6C1GrISbNCU0eoLXS9IwCFrd4Ow2V4C9BitceWCdwMOouZKjabBkE59IjZR84hOza6SxIggC3nnnHfz000/Yvn07Xn31VSxYsAATJkzAtGnTUF9fj5EjR2qm4SyTZRHph9WOIEYBqwkzXQGlMNeeS9ALUjzXQNHDSC1GJEC64g/vroBAoK5YNAVo6yqUmgKal67s1JRRPcWVGqsMdHL3XaOxCtDWFcWq0CI3R2bHE4nnWR1npQYvc2P0urwx2g1SzVyxGCsguOVJbRvAbqjsGJ8n4vF48Oijj+LRRx8FACxatAgAcN111+G669hGVDrLZEULTKuys3yk6tN8XIKX3QVAp7eIsc5kxoJWgLJa08fy3hiFRy1G2OGoKV6QppQLgqyzA0pxm6YA0pUcq7HKLj2ZSdeoYeOJmVgVKbqKBE15YgSga1XAtliN43kUrkNpcuy4VlwJm+GzaiKl5oplCnY9dlV2MNwqZaeZshNHmaz4uAac2/l4wDalj5svtVE1eJkJVnYW+nilzTuPLIHQSNA6WpbiLxQqLcxpR7ckKWZMnx48ajHCjZ6mgKZnIT5fXrpyipGyOw0pkaYptXxZJRJ1pfYseMYqN8QppbTUdGHkmlraMrJeHBB+XZGmlImJ9uKKs34L2Game5jRxYLNIE1HakjC0TLF85o8zJXSWmZKsDxLzfF5DAsZA0B8KRAbfChiq3UvzwVHmSwlOqSU+T96SSk1qh88tYDVHLsisaC3gKva1LlaAYKl64RY4BCfllqtntp19Lp6yINmVIOAhBJBMS2PV3FzxCPVlBZahUDSVTB2TIfN2h0pqjQG0qelpCtWTQH6XRPjywUkRAXrKrZKWWuRjngPrcQqIDJ1xbNCxIim3BarouvVY1WUfWvIOoaE6OAfeU7KyYBCe5vUCtXCuZK5CoXpMXONBNk5tWGeQIO1W6AIS+uVlomSmiclsyTdp7Wmlhuw3WStXr0ae/fuRUNDA7p164bbbruN6TzxIyj98EkLEvJAZfVDrvZx06M2zdxK7PLrmU2HByxdPKJKY+BLbTRcq6dWi8tSCJTPoMayLsnOJOX1SCIJq5oCEDDjoJqmAGu6CremrKQVCkRNAcZry83qSm1WQr016ZoDbohVRjVl5v3XuoaT9STihli1szbL0jTwbsGsptTWyAoonMtMFavZkRscOTwMj941tI4PpeEyaq5ErE44oWWstGYl1FtHS3lWQvNorT9XUlKC8847D0VFRZpp2G6yevXqhWHDhqGsrAxjx44NEJl8StKGspqANX3EQCUNUmYClNnCXijTtjOPIlYDpNVxOzymo5YGrYvizqybsLO+ZdD+SMWMpoCmQqC0dtaKrtygKd5pKRFuTQHsumIt1Ml11Rw0BURmrHJ6ekrwMHJOj1WkqWBN1ZbW+s2VWIgXTZVoqGLBZqaMmhytc5VMj5X0Wa9vp9limTHQKFa69qmtn6U0C6HUYIlraAFN62gZXcRYD7X15wBgyZIl6Nq1q24atpusjh07AgBWrlyJhx9+OGCffErS+M5ZqClMRoJOoOJaCDsd3GestnU0t/Tdirz2lXVqb7VuhvLB/dJgJa1JlwYjEdFA7azNCqhV31nb9F/5NLrXdVH+TUbhUYthB2Y0FVcShYTft9mtKSBYV5GqqYQSQbVQqNRCLNWMmlZYdSUvCMo1BUBVV6KmAGVd2aUpILJ0pRWrKE6FBlEvanqSHydCscp+jGgqoWtHHPmt6b6IpipJxczYaXLCeS2e11UzaUZmRuQx2YRaV8NzUk4GtFCJBklqnIDARYh31KcGtVaJU76LsxQu6Wg5y37U1p87duwYkpOTkZSUpJtGSMZkFRQUIDs72y84NaLrgIztHgDmg5NSMLKahtFgZjQPTgiWel0GzUwoohWsRNRqAdOjknDK1zTT0EVxlQGFwj1V7f1BSl6bHFcSBVxjOKuK8KjFsAsjmmr5W5SlAp8dmgIiQ1dWat1ZNaU1WYaSpkTkhUG5poAzhUJp4U+uKQDcNAVEjq7CHatCGaecEKMA7ThlJEbpTUCjF6ukBstorBI1RbEqEE9VFJL2xRg2F4mnrMenmnT299vK9Yxcx80orZvF0lolN1jSbaLZkpqqX8syglo9cVng+YklXsRWBz+z2CofNm3ahLlz5/q3sa5Ft3TpUkycOBHLly/XPdZ2k7Vq1SrMnDkTOTk5qKiowNtvv616rMfLp0DHG7vzFIrCo9196eVBSxqstLorydchkdf4AVA1VAD8LTRqrcTR9YLq/Y1qFJCXl4f58+f7t0lFxqMWww4Ma6pE/R6EEyfpyg2aAtRbrORI9aOnKQBBhT8tTQFAXJkPCb7g+xtX6cOWLVvQu3dv/zZ54IoYXTlMU3bmx0raRrTFoikr08SraQowFqtETcm3W4pVdRqxyisEda+LtFgV5W1qveFhmowSqmvKr2On6UooUW7NUpv2XWniEDNdCKWTVaiNqRLZUXOW3zTJFyEWEVuolLqSinmOKwHiDOcUGDBgAJYsWWL4vBMnTmDRokU4cuQIFi5ciLFjx6oea7vJGj58OIYPH850bFSjdq1g/En1wXJmqcvgP/d+/Mk6W9IVET/ELMGLtSBoJmhpBSwgcHYlvfEga45fBEA9OAFNwakV5N1wrBmIcePGYfz48YbOMVKLYQdGNaV3f0hXxjQFsOnKqqYA9TW09Gb/Axhq0XGmwBeoq6b/mtVV3759kZ+fb/g8t+lKC7doKhQknPZyjVVGYdEUz1gVVwpEw55YxVLLLsVNmvI0qpudhGI+eqrNNK8h1jwYuYYZc8fDmLGur6U2Hb6S+VJamBhQN1jiNnl3P7F1Sj4eTxyLF4fgrpR2mWS19edefPFFbN68GR6PB61bt9ZMw1FTuHsaBVuCkxZK15MHMzN5kp5jR3AMl8Eyus6P+N99KcqLO+rV9jUFKe1CX6jfGSO1GOEmHJoC3KsrPezWFKBurESOlqX49SPVldrskaKhalXatI9FUwDpSgsnxCoeetJKjxe8DRartihWuUtTUY0+bmZKDbvTl17DiqHTQmoo9AyXWmsWEDyBCOtYLbW1s5Smdf+1LMPfArUrJbBFSkSrZYrVTNn1XNXWnwOAfv36Yffu3bppOMxkeRFTXM4tvcbMVqbO4/0htLtlywpmApYclsUVfznYjqllKuF0YA1JOAyCCI9ajHDjFE0BzUtXrGgtpKpHVVkifpG1Tim1TMk1BZCurOIEXdmhJ8C9LWYiRhcnlkOxKjx4GnyIPaG//pIeDW2tTS8uRZ4fI2knFNfZZrRERNOhZba0jJYUs6aLhaLS5KDWKaWWKSUTFQpjbCeOMlm8kQZBK4VDHmk5NYCZWeRRRAxENb/XRIjBTDp9rpFadK0gxbNAwwqPWoxIw0maAkKvK63ZBKWwjBtRqriQaqemNFlRU4B6LbrTNQWQrpTgoQWl52nVvDlNV2aQawqgWBXJiMaIxRAZNXWxJyoMGy05dhsvxXyYmBZeb+xWQ+vGgNkHjyjMRCjtbihvnZIbKi0zZcV8x5+sR1xccNoxlaFZ4dtZJquhEcKJYtXdnraZppPm+eGzEhDVPs5GgxlLP3cjgcvKYGLg9wBVEhcwqFep4Kf2++0KTFH1PtVrenTGVUQEzUBTAFv3RF4YMVqAeV2JmpKmpdY6pfT77SzsxZXUI75O4ZoVoQlcYUdDV1Y0BdijK969OuzQVqh1JddUqGOV/P2JrmvusaoBwnH1aeY97doYSo5Hq5gcHq1kLC0zdhkxI4se67VkKY3XkraGGTFTPJ6V1rsTTpxlsnQQP0pWg5gTMVN7yDJYX2nqbq11fdSIK43yBzW9dZa0ApWZAKVlEghrSO9tpOnKiqYAY7rSKhyq6Squ9Pf1fVKtaQowrivSlH1EsqZEjLQgs2oK4Ksr9fTZWqcoVjkL4XiRYaPFC55dEFkwOq4r8ZTX8IQYeoaLZdFneTpiXvz7LBoqpxonI7jKZIlEstkCjHeBMrpeitaaSUpBzV97Lq2l4BSgnByUtBZ4jESEE8WkKQlWCodStDTV9P/K17RipkhXzqA5xCqzmgLM60pPU1rXpFjV/ODZQuZUjEyIIcfq2mRmzZTTTRQPXbnSZInw+ujx6DJldXyKEmb7xltZH+hMdyRjs47pBSonByg11BZ43L17N/7973/D4/Hg9ttvR/fu3cOUQ/6QppRxoqYA0pVbCLeuQqUpwB5dqWlKLw2KVZGlKaVCuaddG1OFdSPmysoEGFYwO1OhkSnNlQyZ1vmRaqiU4KErV5ssJ8FSILJzZjazfeSNDOgFIjNAqaG2wONLL72E6dOnAwCeeOIJqjm0CdYaZrtmEXWKpgDSFcEHuzUFaL/vvDSldx3SVBPNQVPhKLybHUNk1pxJjQ3v8Vq8J6BwmpmKLa5EbEzwJFPRFXXYtGkT5s6d698mX4uOh67IZIUQ+YefZ60i7+ljIyVIeeobVX+Lp9GLvLw8zJ8/37+NZcHHw4cPIyOjaa2HQ4cO8ctsBBHKrod26SocmgLcoauYkkrEVCUEbY+uqMGWLVvQu3dv/zbWRVRJV87BLZoCIihW1dbrxippYY5ilXnC1UVQalJ4GC47caOhMsqAAQOwZMkSw+cZ0RWZrDBip+nSu5YR3BCgzDJu3DiMHz/e0DmdOnXCyZMnAQBZWVl2ZIuwAOkqvPTt2xf5+fmGzyNdOZdQakrpeqxEqqYA9soKKaQp58LDcFm9Liu8zJS3ouna0cmhnUiEN0Z0RSYLzpkNKlzr1kiJ5CBlFLUFHidNmoRXXnkFHo8HkyZNCnc2HYtTBv2HW1ekqUBIV+YhTZ2BdHUG0pQxeJgGnq1hdkw3bxberVOisQLcZ6546MojCIJjFmBIic5Av6Sbwp0NU4Q76LHSHALTx+VvAgCOHTuGnHOuQq8Otyoe9/Wht1Bacwwejz2LYDoB0pT9NCdNAcCoUaNw4PNYtIzLCDruWMVe3DHpKjzyyCOhzF7Icauu3KIpoHnpaufOnRhy5e3o2fYGxeO+PvQWymqPhzJrISclOgP9Wg4LdzZM4aYZCu3u4hfu1qqPy84sxD1kyBA0/NINcTEtgo4rLN2Oh6f/GX/5y19szQ+1ZHHCCTWMzSEoEc0HJ7Qwk6aISMIJmpLngyDcTjjX8JLmwQk4rbVKKDoJISp4/DDqQ9N6SCaLMxQ8HEZdvfozaWgMbV4I05CunIVwsgRCdHAnCKEh/N3ICDZIUw6jppZilYsRTQ6r2XKKKSLshUwWQRAEQRAEQViEzBMhhUwWQRAEQRAEQRCOQjpxhojTuiRqQSaLIFSorq7GU089hc6dO6Nt27a47bbbAABHjx7Fu+++i6SkJLRr1w433eS+AfAEES5IVwTBF9IUEQkoGSqRUBsrXpqKCkVmCSIcJCQkoEaoRKPQELSv3leLRqFe8/wVK1agT58+ePDBB/H222/7t+fm5iIxMRHl5eXo1asX93wThJPZsOxrVPhOK+6r8J1GUlKS5vmkK4IIpEWLFqjylcMneIP21fgq4YNP83zSFOFGvBUVAf9EopOTg/6ZYfsnPyrGKkEQUOHVjlW8NEUmi4hY0tLS0MV3HrZXrkVdRSm8lZXwVlaipuIUvqv6BOcJF2P+/Pno3bu3/19eXp7//EOHDiEzs2kGrpqaGv/2vXv3omfPnrjrrrvwxBNPhPx3EUQ4+eHUVhTW/ojjFT/7NeWtrMT+iu2oqj+NqKgoVU0BpCuCkNO1a1e083XCfys/RUNFmV9TlRUnsL3qU3y2+WPk5eVRrCJcj9xU8TJUSnx/5Fv8VL0Fp8p/81+zsbwcP1dshq+hASUlJbZriroLEhHNTuEbXOS5HDvwFXKEK+CDF9/jK3TFhdgufA4AGDdunOK5WVlZKC5umu0pMTHRv71t27Zo1aoVUlNTUVJSYv+PIAgH0bp1a+w/9Quy088FBCDT0wGFws8owykcrv8NsbGxuO+++1TPJ10RRDB7he3o4bkUP+Ab9BQuRx1qsQOb8dmWT3DZZZfhsssuo1hFuJ5Qdvvr0KED9h7Zhe4dL0Q3oSdSkYF9+BENqMch76+IiorC3/72N8VzeWnK9sWI1fo1KuHWBR4JZyFdOFXkIs/lOIx98MEbYLC0kL+7H330ERYsWICdO3di2bJlSE1NRf/+/XH11Vfb8TOY80WaIuxGSVMlJSU4u/U5aIFW8KLBb7D0IF0RRBNKuurhuRTFOIo61PkNlh4RoymXLkZMOAfpYsQiR48eRfeOFyIJyYhGNA7+brC04KUp203WsmXLEB8fj9tuuw3Dhw/HqlWr/Pvy8vICmud+/PFHXHjhhbblpbi42N/856a0KX1j6WdkZODjjz8OOuYSz1WIQSy2Chtsy0coaC6acnv6bs67PH01TZWUlODy1tfix/qtTAbLyThFV5H03lD62umr6aqnpx/e3Paq68dROUVTQGS9N25KO9Tpq2nq2LFjuLbDUOz2btM1WFwRbGbatGnChg0bBEEQhEGDBmke26tXL1vzYmf6bs47pe8umoum3J6+m/MeivSdhlN05fbnSumHN30n4RRNUfrhSzsS0reC7XZOrV8jQRDmIE0RBH9IVwTBF9IU0dyxfeKLW265BU899RROnDiBO++80+7LEUTEQ5oiCP6QrgiCL6Qporlju8lq0aIFcnNzmY5VmzmHF3am7+a8U/ruorloyu3puznvoUjfaThFV25/rpR+eNN3Ek7RFKUfvrQjIX0r2D7xBUEQBEEQBEEQRHOCFiMmCIIgCIIgCILgCJksgiAIgiAIgiAIjpDJMkljYyOee+45W/qC2pk2QTgVu9970hXR3CBNEQR/SFcEK7ZPfKGG2krgu3fvxr///W94PB7cfvvt6N69O7e033rrLXz++ecAgPvuu8/SQn9VVVUYMmQI5s2bF7CdR/7V0uaV/9WrV2Pv3r1oaGhAt27duN57rfR55X/Hjh3YunUrqqurcfLkSTz99NMAgE2bNmHz5s0oKyvDxIkT0bZtW1PpuxU7NaWVPq/naqemtNLnkX/SVOTi5ljlZk0B7tYVaUodilXm0qdY5UJdhWuBrqVLlwrvvvuuIAiCcPPNN/u3jx07VigqKhKKioqEe++9l2vab731lrBw4ULhlVdeEU6dOmU67yK//fabMHbs2IBtPPKvljav/B8+fFgQBEEoLS0Vbr31Vv92XnlXS5/n/d+3b59w3333CWvXrvVvGz58uOD1eoVvv/1WeO655yyl70bs1JRW+jyfq52aUkufR/5JU5GL22OVWzUlCO7XFWlKGYpV5tKnWNWEm3QVtu6Chw4dQmZmJgCgpqbGv/3w4cPIyMhARkYGDh06xDXtm2++Gffccw9uvPFGTJkyxULu1eGRfzV45b9jx44AgJUrV+Lhhx/2b+eVd7X0ed7/7Oxs5Obm4vXXX/dvq66uRlRUFDIzM3Hw4EFL6bsROzWllb7durJTUwCf/JOmIpdIjFVu0BTgfl2RppShWGUOilVNuElXYTNZaiuBd+rUCSdPnsTJkyeRlZXFNe1ff/0VHo8H6enpKCoqspB7dXjkXw2e+S8oKEB2drZfEADfvCulzyv/n3zyCQCgZcuWqKio8G9PSkqCz+dDcXExOnfubD7zLsVOTWmlb7eu7NQUwC//pKnIJBJjlVs0BbhXV6QpdShWmYNilft0FbZ1suR9Zj/66CMsWLAAe/fu5d7PXUz7xRdfRGJiIk6cOIEbbrgB/fr1M51/QRCQm5uLNWvWYM6cOXj11Ve55V8tbV75X7VqFWbOnImcnBxUVFQgPj6eW9610ueV/2XLluHgwYOIiopC586dsXbtWixevNi5fXJDhJ2a0kqf13O1U1Na6fPIP2kqcnFzrHKzpgB364o0pQ7FKnPpU6xyn65oMWKCIAiCIAiCIAiO0BTuBEEQBEEQBEEQHCGTRRAEQRAEQRAEwREyWQRBEARBEARBEBwhk0UQBEEQBEEQBMERMlkEQRAEQRAEQRAcIZNFEARBEARBEATBETJZBEEQBEEQBEEQHCGT5TIeeeQRfPnll+HOBkFEFKQrguALaYog+EO6chdkslzE7Nmzcc4556CmpibcWSGIiIF0RRB8IU0RBH9IV+7DIwiCEO5MEPq89tpruOKKK3DJJZeEOysEETGQrgiCL6QpguAP6cqdUEuWCygpKUFxcTGJiyA4QroiCL6QpgiCP6Qr90ImywUUFBTgxhtvDHc2CCKiIF0RBF9IUwTBH9KVeyGT5QKOHTuG6OjocGeDICIK0hVB8IU0RRD8IV25FzJZLmD48OF46KGHkJ+fj7q6unBnhyAiAtIVQfCFNEUQ/CFduRcyWS7g3HPPxfvvv49Tp07hnnvuCXd2CCIiIF0RBF9IUwTBH9KVe4kJdwYINuLi4pCdnQ2fzxfurBBExEC6Igi+kKYIgj+kK3dCU7gTBEEQBEEQBEFwhLoLEgRBEARBEARBcIRMFkEQBEEQBEEQBEfIZBEEQRAEQRAEQXCETBZBEARBEARBEARHyGQRBEEQBEEQBEFwhEwWQRAEQRAEQRAER8hkEQRBEARBEARBcIRMFkEQBEEQBEEQBEfIZBEEQRAEQRAEQXCETBZBEARBEARBEARHyGQRBEEQBEEQBEFwxLEmq6SkBLNnz4bP5wt3VggiYiBdEQRfSFMEwRfSFBEpxIQ7A2qkpaXh9OnTWLNmDYYNG8YlzZqaGvTt2xeDBg3CCy+8ELT/+eefx4EDB5CRkYFffvkFCxcuRHx8PG666Sb07dsX9fX12LdvHxYtWoTExETs27cPU6ZMwaWXXorDhw8jPT0dTz75JABg1qxZOHLkCJKSklBXV4fp06dDEATVtFg5fvw4pkyZgh07dmDr1q3+7T/99BOWL1+OxMREbNq0CU899RQuu+yyoPN79+6NLVu2IDo6WvdaX375JSZMmICXXnoJ11xzDXMeeaD2OwHg008/xYoVK9CmTRt4PB5MnTo1pHlzM7x1paQZ+fusdszll1+OhIQEAEB0dDQ+++wz3XOU3vM2bdpg4MCByMrKAgCUl5ejZ8+eWLx4MfPvUHrffD4fs16N6AoIn7bUdKX1LSO04akplnfuwIEDmu+7UuzZv3+/6vPVih1KaXk8HqbfovUN19on4hZNAda/H0QgvOMUy/umpgO1b6Pa8z1x4oSmPlliphpaZR8WrbpdUyJ6ZXlHITiYHTt2CKNHj+aW3qRJk4TRo0cLkydPDtp37NgxIS0tTfB6vYIgCMKwYcOEZcuWCV6vV3jmmWf8x4nbBUEQvv32W2HVqlX+fT169BC2bdsmbN++XcjJyfFvv+WWW4QVK1ZopsXKe++9J6xevVro1auXf1tjY6Nwww03+PN+9OhRoaioSPF8n89n6Hp33323sGHDBkPn8EDpdwqCIFRVVQldu3YVamtrBUFoureffvppyPPnZnjpSk0zrMdMnTrVULpq7/nJkyeFdevW+c+fOnWq8MUXXxj6LUrvmxG9GtWVIIRHW2q6UvuWEWzw0hTLO6f1vqvFHrXnqxU71NJiRe1d09sn4hZNCYL17wcRDM/yn977pqUDNe2oPV8tfbLETDW0yj6sWnW7pkS0yvJOw7EtWQDQs2dP7NmzBw0NDYiNjbWU1tKlS3HllVfihx9+QGVlZdD+Fi1aIC4uDuXl5UhNTUVlZSUuuOACREVFYcqUKQCAxsZGHD58GOeddx4AoE+fPgFp+Hw+JCUlYefOnf5aDADIzs7GZ599hhEjRqimBQBPPvkkGhsbER0djeTkZDzyyCNB+fzTn/6EjRs3BmzbunUrBEHAK6+8gurqaqSnp+Pee+8NOnf16tWYMGECNm7ciA0bNuDxxx/H+PHjUVhYiP3792PNmjVo1aoVJkyYgIaGBmRnZ+Pw4cMBaSjlcfr06Xj66afx8ccfY9u2bfjss88we/ZsdOvWLSjvSvd+ypQpuOqqq3R/JwBs3rwZZ511FuLj4wEAV155JQoKCjBw4MCgYwlleOlKTTOsx+zcuRMzZ85ETU0N+vTpg6FDh2qeo/aeezwe/OEPfwAA1NXVYdu2bXjqqaf8eTCrKy3tS2HVFQBVbYVbV2rfMoINXppieefS09NV3/dff/1VMfa8+uqrAWmIz1crdqilNWLECNOaYtkHuEtTar+H9ftBKMOz/Kf3vmnpQO3bqPZ8tfSpFQ/1NKVV9tHSqohUU126dMGbb75puAwYbk0B+mV5p+FokwUA7dq1w/r16zF48GAAwK5du7Bu3TrFY++++26kpaUFbd+9ezf27NmDadOm4YcfflA8t1WrVnj++ecxcuRItG/fHp06dcI555zj3//JJ59g1qxZuPHGG9G7d++g81euXInBgweje/fuSEhIwOOPP47a2lrEx8dj27ZtAQJQSuuTTz7BN998g7Vr1wIArrnmGgwaNAgXX3yx7j0qLCzE5s2bsXz5cqSkpOCuu+5CXFwcxowZE3DcsGHD8NJLLwEA7rnnHixZsgRXXHEF/u///g8PPPAA1q1bh4SEBPzyyy/46KOPAADvv/9+QL6V8vj444+jsbERy5YtQ1xcHPLz8xWbv//zn//o/hY9ioqKkJyc7P+7VatWKCoqAtD0oZs5cyYKCwuRl5dn+VqRDA9d6WlG75hHH30Ul112GbxeL66++mokJyfj6quvVj2noKBA9z1fvnw5/vznP/v/tqIraRpa2mfR1a233oqCggJFbTlBV1Kk3zKAdMUKD02J6L1zIvL3vU+fPpqxBwh8vu+8846qptTS4qEpPSJJU0rPkjTFBk9NacFahpJ/GwFtrcr1qRbbWDSlVfZh0b1UU4DxMqATNKVXlneirhxtsmbPno1Ro0YhPz/fL7ILLrggqLZcj5UrVyIhIQEzZszAl19+ifr6esyePRsTJ070H/P999/j+eefx/bt2xETE4PJkyfj6aefRm5uLgBg8ODBGDx4MEaPHo25c+fi/vvv95+7YcMGbNiwAbNnzwYAdOnSBXl5eXjmmWeQmZmJCy+8ECkpKf7jldL64YcfUF1djRkzZgAAsrKyUFxcjDfeeAMrV65Ey5YtVV/SVq1aoXv37v5rXHXVVdi4cWPQB0IJsbYhMzMTFRUV2LdvH84991z//uzsbP//q+URAJ544gmcf/75+N///V/V/sXDhw9XrHmYOnUq+vfvr5tXAGjTpg0qKir8f5eXl6NNmzYAgKqqKgwZMgTz5s1TPHfXrl3YtGkTGhsb0adPH/Tr14/pmpEGL13paUbvGHHcR3R0NPr3748NGzbg6quvVj3n2muv1X3P33vvPaxatcr/txVdiWhpXw25roCm909JW07QlYj8WwaQrljgpSkR1ndO/r7rxR7589WKHWpp8dCUGdyqKaVnSZrSh7emtGApQyl9GwFtrcr1qRbbMjMzdTV13333qZZ99HSvBWsZ0Ama0ivLO1FXjjVZc+bMQffu3TF48GDMmDEDXq8X0dHRmjUZo0ePRuvWrYO2P/HEE/7/r62tRWVlpf+hHDhwAF26dMGRI0fQunVrxMQ03ZL27dvj4MGD2L17N3777Td/V6azzz4b+/fv96dXUFCAL774AnPmzMGxY8dQWFiIfv36oXXr1njuuecAAKNGjcL999+vmVZOTg42b96Mxx57DACwfv16nHPOOfjjH/+I8ePHa96rvn374tSpU/57VFhYGNRUq4Z8YOT555+P9evX+/+W/la1PAJNL/9jjz2G3NxcXH/99QHmTET6sTFLv379UFhYiLq6OsTHx+Orr77yf9RSUlKQnp7uP3bWrFnIzMzE999/j+nTp2PatGkYPHgwioqKbPlQuwGeulLTDKCvq7179+Krr77C2LFjAQC//PKLv2uD2jl67/nGjRvRr1+/gK4lVnSlp30tlCYHUNOWE3QFqH/LSFfa8NSU1jsnakpE6X0HoBh7AOXnq6cppbQOHTpkWlNWcJumtJ4laUobnprSQtSUng6UtJOSkqIZH5T0qRbbWOJUdXW1atkHUNe9HqxlQCdoSqssDzhTV440WR9++CHKy8sxZMgQAMDVV1+NjRs3YuDAgZZqMvLz8/H555+jvr4ey5cvx8iRI3HNNddg48aNGDJkCD788ENMnjwZqamp+PHHHzF79mxUV1dj4cKF+O9//4uGhgbs2bMHL7/8MgDgu+++w8iRI9G7d29ce+21qKqqwgMPPIB+/fphwoQJ6N+/P+Lj4zFs2DD06NED+/btU01r0KBB+Pbbb/H4448jOTkZJSUl/hoDKZs2bcLSpUtx7NgxPPvss5g8eTJat26NmTNnYuLEicjMzERxcbHizGAFBQUoLCzE66+/joEDB6KwsBCLFi3CmDFj8Pnnn2Pnzp14/fXX8dFHH+Gvf/0rsrKyIAgCli5dil69eqnmcdGiRZg3bx7WrFmD9evXY8SIEXj55ZcxYMAAU89J7XcmJiaiRYsWmDdvHiZMmIDMzEz07NlTcTxWRUUF/vOf/+Dee+9FTEwMDh06hO+++w4vvPACDh48iFmzZjW7WQl560pNMz6fT1dXgiCgoKAAR48eRXl5ObKysnDHHXdopqv3nr/xxht45ZVXAvJoRVfx8fGqepXCoquhQ4di6NChitqaPXt22HWl9S2TQroKhLem1N45qaZEo6X0vgNQjD1az1dLU0pp9ejRw7SmxFpurX2AuzSl9ntYvx+kqUDsKP+pPR+pptR0oKad/v37az5fJX2qxbb27dvrakqv7KOkVSlSTc2YMQPr1q0zVAZ0gqbEb4S8LH/77bcHne8YXYVtyg0NqqurA/6uqakRSkpKwpMZwlX89ttvwtixY4Xy8nJh+PDhgiAIws6dO4WysjLh6quvFiorK4WffvpJmDBhQphzGnpIV4RZSFfKkKYIs5CmlCFNEVZwmq48giAI9ls5grAfQRCQm5uLNWvWYM6cOfj444+RkZGB06dP47HHHsO6devw5Zdfwuv14s477wyq6SEIIhjSFUHwhTRFEPxxoq7IZBEEQRAEQRAEQXAkKtwZIAiCIAiCIAiCiCTIZBHNhi9WZ2H7p2eFOxsEETFUVVVh8cvt4PP5wp0VgogY1r3XCbu/6BLubBBExHD69Gn86/X2CHXnPdu7C3q9XsyZMwdt2rRBaWkpHnzwQdVjMzztcInH2BoUPIiWLPBGuBtvRQXW+d4L2l7wdkc889Jp1NcLeHVGJq4YeigMueODEU21bnMeLrz8r0Hba1tHc8lLbVrwtMqhIKFE/7OVcNrL7Xq87pcTYblPn6/+R9C2qqoqDBuSiZZJUchIj8b8pSWIinJvvZ0RXbU6qzuyh9k3XbkRqtvpH9PiOJ9rtTzKT1MilR0iV1t6fP/K34O2vT2vPd5YUorySh+WvtYOFw0oDEPO+OBWTQGh0xVpii9Kmjp9+jSGDuqI1mlRuOC8eMx85ZTikhB2YHtE/OCDD1BYWIiKigpccsklmsfWo97u7ABoMlXSf4S78FZUqP5TYs3bHfHsrNP4YGkHrHizPR58rBhfF2QpHusGjGiqzleN2tbRQf9YqE3z6P4zSn1q8D8jJJQImgYr4bTX/48nvNNzEkrvh977UllZiZsGZ2LMn1thxZvt0S4zGveOSnN1i5YRXTXWVIUoV8FUtwv8x3qOGVoe9Qb8I+xl2dx2WPh2Gda83RH/mtced91/HDs3me99UVRUhJEjR2LZsmUcc8mOWzUVSl0R9iIarCf+3hrvL+mAsnIvHnkw3XSLllFN2b5O1t69e9GuXTvcd999uOGGG/Dhhx/69+Xl5SEvL8//dwPquF/fiInydGwH4QinKj+CC2rGiZU1b3fEc7NOY/VbHZDeOhrpraOxcnF7jBhzDK8iy5UtWkY01VjLFrh4tUgZNU2s6Bkru4nkliyjVFZWYtiQNvjLHa1wxy2tAABPP5qOJ2eewl/vSsOCZe5s0TKkK5sLhGYLb7ygwl/oWTa3HRb9qxyrlnRAy6QodD83Dstfb4877juGpa+dpdmitXr1auzduxcNDQ3o1q0bbrvtNgBATU0NBg0aFKqfEISTNAXw15WRlqxQaqrlUW+zbs0SOXXqFG4c3AlP/L01bhiYBAB4bUYbPPh4MR55MB25r6q3aPHSlO0mq23btqiurgaAoFrOcePGYdy4cf6/W3mMrdathJ6p8nTUVpl0PxmuQPTuHcDnnlk1ViKlpaV49OmT2LSqE1qnnfngZHWMxcrF7TFo5BHsvUEIWbMxL4xoKikjy5YufbzMVFyp9n41c6VmrOJPslfU1GXEMx1nl8Ey81xYuknazeMTO+HPI5L9BgsAPB4Pnn40HX//fycx/6X2GP/wiTDm0BxGdNWiDd+WcLtMFWshkExVeDlw4ABmv1GK9Ss6oWXSmQqK7ufG4V/z2uPO+4/jvzvVz+/VqxeGDRuGsrIyjB071l8gPOussxAdHb7Cdjg1BTRfXZHBauKBv3bBIw+m+Q0WAERFefDq9Ezc/b8nsGrVKowYMULxXF6ast1k/elPf8Jjjz2G+fPn46abbuKSJmvrFIspUIPFLEjNgJu6HVq5L3bAy1TJqampQYcsDxpb1aBI9q2LbwckJCmf53SMaEow+K21qyVKCTWDZcRYGTFVRjFjruweoxauMXBSSutuwvm9PsEpX3DN80W9PCipmByGXFnHjlglEuqWKZZCoF4BMOmgsZaFqs7GPqhUEDxDRUUFunTz4HR8FU43Bu5rcTbQ6PEGtfxITUrHjh0BACtXrsTDDz8csnzrYaemANKVEqSrM5TWXInOl/wXBxuDy5jnXQKsWrUKzz33nH+bHZqy3WQlJyfjtddeM3yeUdPCwzgYNVYidhksp5khNcy2XvG6l3aZNKdiRlNmzFN9mrnxNXEl2l3FWM2VnaZKqxXLyJg1InIwG6vkmCn41bVrCPg7/nisqWvrFQLVCoBGC35WoEKgOeQtP3IKCgqQnZ3tLxw6gXBqCgjUVag1BVjXlRGDRboyzoABA7BkyRLV/Tw0ZbvJMoInKgrRLfUL2TzNh5pB0Cu48zBWbjFRaljtGsjLnLqpFTHU+KKVDZZZA6WHlsEyY66UTFVMcbluPhozWyluVzNXesYqHIYqlK2KhDF8sXxr0eOPx/oLhEYLg2YKgTxNFUtB0AkFwHCPc7OTVatWYebMmcjJyUFFRQXi4+OxYMECHD9+HJ9//jmioqIwcOBAtG/fPtxZVYW3pqSYMVjh1BWruQq3rkhT+ppylMmSw9uE6JkCO42V2w2VFBqr5h6EGH1D5UttVNweVcr2edBruQKCDZbUWGmZKhZDJUXJXJkxVlZNlZsNkl0GXERtQPHu3bvx73//Gx6PB7fffju6d+9uaz7sQN4ipYe08MerIGi08Of57UjA38LZbLW2egVB3gXASC7QWWX48OEYPnx40PYOHTpg0aJFoc8QZ4zoyg5NAdZ0xUtTAOkqVPDSlLNMVlysI1qppJgxVmZ/Q307+1pk4o7z6VJnl8Fy4syOO3bswNatW1FdXY2TJ0/i6aefBgBs2rQJmzdvRllZGSZOnIi2bduGOafWiCqNCTJaLAaLl7mSGiu5qRJOFAel6WmbGfA3i7HiZahCaZ7sNjtW+LmhBerrg83rQa+A3Vu2oHfv3v5t8m5OagOKX3rpJUyfPh0A8MQTTwSMP3EyRo2VCO/uS/JCoLwAKDdTRrHTVFFBj5BiVlNWYKmwUDJVduqKNOV+nGWyTGJ2LJUadowHs9NAsSC9vlnDZdQEGTWbdrT2lfrisLUuQ3Ffta8UeXl5mD9/vn+btECYk5OD5ORkvPDCCwEz0MyePRv5+fn47rvvsHDhQvzzn//knm9uRAtMBoq11YoFqbHiYapE9MwVi7HSM1R2m6hQGSe11slQ0LdvX+Tn56vuVxtQfPjwYWRkNGn10CFnL60gxAqma9fNYKYAaLTwp1TbzqsA6OYCXzgK/M2RUGsKCNYVb1Ol1oKlpiujpop05XxcZ7KsdvlTwuhaWlqE20zZSSR1eRQZN24cxo9XX2U+Ozsbubm5uPvuu/HHP/4RAFBdXY2oqChkZmbi4MGDocpq2DEyoYVoruTGSmqqhBPF0JuQXGqstEyV3FBpmSkrRiqUrUvhNEp2ozSguFOnTjh58iQAICvLvYuF80SrEBhKU8VS+HNCga+5FNwIa7DqykwrFemKkOJIk2W0xcQuY2XWUNVkxhnODyuJxfW2pW0VowaTVxdGu/jkk08wePBgtGzZEhWSdywpKQk+nw/FxcXo3LlzGHNoHLMtVnKDZba1SqulSkTNWBkxVXpGKtRd8XgapqSUGuZjq8oSuV2XF2oDiidNmoRXXnkFHo8HkyZNCnc2ucIyy5leaxWv7n/yQqBSAVCr8BfqQl9zKeAd9bbCp9XnKO4r9zk7VoYD1pkDjbZW2WWsnKQpoPno6vOas5FcHfx+/NRwFJ1CcH1nmaz6Bk2DZWcrlZahUjIPdhopLcTrWjFbZroORnILnRrFxcWYNm0aoqKiMGbMGIwZMwaLFy/GQw89hNzcXP+YLLfAw2CJ5oq1pQqAbmsVcMZYsZgqqaFSM1N2mii7WpiMmCc70gyVIVMbUHz++ef7xz1GIizmKhymSq3wZ6Tg57YCW1o742WJkuPNLwY6HdYKC1FXbtIUEPm6ag6acpbJkuGkFiq5qarO1B/0z0KLYnOFQR5mCwiPeeLdgmXXhBl33XVXwN933HEHgKa1FQYMGGDLNcNFKFuqAP3WKtFUaRkqNSPlxG52dhgo3kjzqGe4fqlrh4ralkHbD9afwAXcc+YeeNaoA3wKgXoFQL2CX6QX9OxOtzkUJO3EiKYA+yaA0TJWSqZKS1ekKevpukVXjjZZVtc/smqm5EaqNp3tugmn2I5TuoZR0yU3f07uTugWcxVpKLVgKbVOAeYmqjDSUgWcMVWshkrJTOkZKTOmxkxLDg/z1CGlzHIaAHC0LIVLOk7sYuhklAqB4TJUgHbhT63g55ZCn12FPcJZGG2hEuE5o6bVigq3aApwn67cYrAAh5ssFlgnYzDSOiU1U/XpbKYn7tSZQqv0fCOGS5oHEaumKxToGTs7xl6xGqwybwt8V3224r4qX+RPWuGp8/gNFetaVYD5GQD91zVgqkRDJTdTSkbKzhYhO9PmZaSMXkPPeGkZKp4zTkYangYP4o/HWl6nindLlbTwJy/46RX63FbQciKshT8eM+NFGlqaAth1xbuyQktTAOkqFLDoyqmacmQUNTOLHeskFFITI5qhM0bKB1+atmCiSow9SK3WLxYDptUt0WxXQ56wtJwpPRurxkv6jlCLljpRXqDVb4FtTVqGClBfAFhuruRTqgNGDVVTvuRmSsns2GFSeLX8SAmFmWJF7fcpGSu91k6eNDY2YubMmSgsLHTNWlhyohqANtuDC30AX0PF2krFaqiowGcPWoXAUBT+IkVTLY5bX0ybBd6GinTFHz1j5RZdOctkqSxGzDpuyIihEs1U6/RKtADQNVXZ8ewrbTrx9KmW/vOUjFZ9ui+gNYsFOw2YVew2cKzPlMWMReLU8rzw/B6v9IwVoG6u/GkZNFVyQ2XWTHVNPqmZLyX2VSivjaZ3LRE1g+IkEyXFDkMlb/nkRVVVFYYMGYJ58+YFbF+wYAEKCwuRkJCASy+9FNdff709GeBAlKyspVUIBNgKgnozlIkFQGnhz0yhLyfzqG5eWNhR3IFLOm7DrKFSa6HhQaRoiqVbrQirudLSlZKp0tJUC43r8NAVaUoZN+vKUSZLiI02NJOf2pipM0aqqSApGikAuEjFTBlBNGhys8XatVCOkjnTG/9ltBuiUcR7q2e2tLon8hgf1hxnNeRJVKOgOLaKFbW1qdRaqABlU6VnqMwYKS3E9FjMlhJONVNSlIwVT1Ml7U4qZ39NJkqqUoO2H6mrQ+W2Lejdu7d/m3SBbwBISUlBenrwB65nz5749ttvUVpaiurqakcXCAF9YyVFbVFSEZYWKqXCXyjMlFb6TigUyn8n7zzZYaqUWmuK6lvhi9JuisdXNu5BXl5eQG26VFeRoimAXVdGNAXw0VUoNAU4x2zZlZ9QaQoAvinLRkJUcFz8tboRMZs2Ye7cuf5tdsQqR5ksX4xHsdCuNQGFVsvUBa2aXpBeLX7zH98n/iS21gUWvL6rPhu7ys+8RGLrFXCmBUsxvzpdC5VQawWTo9cqxjoJhxyzY8TMtGwZHR/mtEk7Vq9ejb1796KhoQHdunXDbbfdBgA4evQo3n33XSQlJaFdu3a46aabwpxTfVgMFstiv1JTJTdTopGSf870Wqd6JB3TzZsae6raa+63arachNXWKoC9xUrLYOnRt29f5OfnGz7vjTfewLPPPouUlBTs2LHD9PVDQXS9ckBnQa3wp1STLi3sadWiA8EFwP6pPxvKl1oBn+WaoSgUshZweZg/q12VzBQG9ZAXAFlwk6YAYxUXcvQqKszoSumdC5WuSFOB2KGpAQMGYMmSJYbPM6Irh5mspkK93EAoGSngTBc/0UwBgYZKnPDgu+qz/dvlBkuOvHsgb6TGTGt8l9x4Ge2KqIZ4b61OyMGKEXNmx6QdFY3xAQZaSq03Dnl5eZg/f75/mzSQ9erVC8OGDUNZWRnGjh3rN1m5ubno0aMHysvLMXToUO55DgVSAyWiNcvfmUkptFuo5IZK3kJlxVA1R4wYK5FwGiwrnDp1CmlpaQCA6dOnY/Xq1WHJh1X0FvfVGz+lN76DR8FPif6pP5sqEDoNs4VBHpNW6HVdMlsYNIubNKVVccGyYDbvVl8emhLTcaqudhR3YDJa4dQUYI/BsoIRXTnKZHkTgPJu7C1TfeJPok20shkq8lYGtFrJZ5hjabkSzRwPlEybWrdDJcy0dmlh1mwZxa6JO3iNRxs3bhzGjx+vuK9jx6buCCtXrsTDDz/s3753716MHDkS2dnZeOyxx/Dmm29yyYudsJgqvdYpI13oRHMlNVUXJRxiOndnbRbzdVhwYyuWlUk5fKmNikarPs2nO5mF3GDJx/LxQBAEvPPOO/jpp5+wfft2vPrqq1iwYAEmTJiAadOmob6+HiNHjuR+Xd4oFfwA/W5J8sKeXgsVEFgIVCr8/aHFr0HbPq0+hyHlQMwUCEPVtUmpQBiOblV17RpMDbq3szAY6ZoC+LVOiei1/PLSlNsgTZ2Bh64cZbKi4xvRq3fTiy1tnQICW6ikFHkrVY2W3GDtKu/A1FLF01zpXcvobIW8CZXZUkJqlOSGi8VEqbV48qSgoADZ2dl+wwUAbdu2RatWrZCamoqSkhLu1+SJL8aD2tbRuq1TAHTHUCmh11LFaqzswo0GC2gytFpGy8jCwayEwmABgMfjwaOPPopHH30UALBo0SIAwHXXXYfrrrvOlmvypiEp2vDsfmbHT/GqUbeDUBfI7Lye9PnwXofH7sIgaSoYt2oKCK2uSFPq8NCVo0xWx4QyjG73FfrEqw+Cl3b3M9JKxdL9j9VcSWcilLaCKaF2Xavmilf3QRGzY7xY4DFTopahkncj5cWqVaswc+ZM5OTkoKKiAvHx8ViwYAEmTZqExYsXIzU1FZMmTeJ6Td5444Dysz1+QyVtoZIWzaWtVPLCvVoXQKVWqoviAp/Bznpj3W5ZW7G0xmK51VjJYV33SjRcWmZL3oKltgA1cMZciS2dShysSsPpiuCPxomaU4A9Pa0dhS+2qRBopSYdMFebLufT6nO41LAbacFyysB8u0hrV6FaKGRdKBcIT1cmt2KXpgDjuuKlKYBdV81BU4AxsxUJmnKUyaryNY3J2VqXoWm0gMDJKuRGSsnAiEUMtckqjBTQ95Wmo2vqKU2DpWSueLVa8TZYdmKmhUzJ8MlbqaTPkbe5Ehk+fDiGDx8etD0nJwc5OTm2XJM3QgxQe/aZCUVYWqjEwr3e5BRKrVQ761v6jRarwTLSPVDNXLnJWGnNpKj3O9RauFgNlpa5EintGhgWpDNHEk0IsYJq9z8l7BzzYRUnFwLtnM2N1+/RGi8iHzckorQGU3NHqikgfGMTeUG6Ykep4kJNV2qaApypq5CYrGuvvRbPPPMMrrrqKs3jar1xeOv4lQCAt2T71MZNSY2LlvUwYq701syS/788T0p5s0K4TBVL9zveE3KoXV/NVKk9q+YAk66iBV1jpTSVumiq1FqoRJSMlNHWKy14tljpjXPiOW272Snplc6T/069roTieCw1cwWcMVjSbqSA0lT8/HHywqmssSo61mfYXEkLgCwtVIB9Y0CcXAAE7J8qW3oN1t8oLwgaWZ+Hpevb6doWqnmpaQzvsAKrsOjKqqaA0Lb8ynG6poDQ6UrtNyq1YpnVFesC7LtOtUNMY/BYv5OV9t8LIAQma+3atUhKUh/MKKXWG42t+87y/y2aFHlBPkHhXCVDIDdWrIZKbKnSQ83sWSWUpsqOcUxGYGm1knP6VEv/s9R7VtUNcaotjrVe9RoRp8Oqq6joM/fSysx/onGSmi1Fg6XTKiVt/dI6VslcsZoqs5NGSM9jNVysZkpvVkW9qeilyH+f2IolnexCy2AByjNIAsHGSr6ANA/UFngM99IIRmKVHLXCi5Wadd4FQZZCoNtMldb9tTKjm7wwaKYgqFSrrlYQjGTM6soOTdmBU3VFmnIGtposQRCwbdu2gIUptfDWxSDh1+BZ0JRgMVWAuVYPta6A8tYqOyatsNNg8TZUWnnV6iaoNv6L9ZkCgc8iqBXxCvVrRwJGdBUb7Q3q/mdkcgrRCInHiMaKpYufkqFSOs9KF0Ars/CpoWew1IyVlenpxXP1zJb090q7CCq1XgHBBkup618ojJUUtQUew7k0gtFYBVhblyoUs5RFSs262UK19Dy1eyH/7XoFQUC5MKjVTcnphUA7iTRdRYqmAHO6MqMpIFBXRroGqunKTZqy1WStWLECI0aMwDvvvKO4X76Cua9ceSE6I+NxlIyUfKZCtXWT1NAa6+VU7G6hUjNYZswVoJ7fqJJYprXF3DROzSpaupJrqqGsJsgU7Klqb9gQmJlW3UhLld2tVCyomSujpkpvRkUj91J6X8TfrmSuAOV1sNTGU+kZK70upsWVyShXeBZlNS2wZdeWgEIV6yKq4VwawWisiqosD1XWDKFXCAz34Hq9AqAdrRRmDJbedNJ6Yz/UCoEs3eEiCSOxKqqyPCTd2Yzi1JYqKeHQlRJmKi2AJj21OG6+ssLJurLVZB04cADFxcXYtm0bqqqqcN555yEzM9O/Xx58EzpkMRsqqZline5djtxssYz7spv6dJ8pw2DUVCm1ELH+TqMGy4y5kqKUr+ZkquRo6UquqczzlW++ke5pVjHb9c9OQyWF1VyxTv6hh79VUGa21IynUuuVnrlSwoixsjI+rW/fvsjPzzd8XjiXRjAaqzJ6BL+/8sKY3QUbN9Sqi1iZTptlJjgjmC0IihitXVcqADrRTNiBkVilpCkg8D0nTZ3BTk0B2rpSuk9WKi2AyNWVrSZr8uTJOHDgAD788ENER0cjJUW70CTEC/ClNfjNlJqRYjVRrPA2V0YWGVZCNB5qRoKHoTKDEXNl1VgZzYPVdJVYvXo19u7di4aGBnTr1g233XYbgKZuTWlpadi1axf+9re/oXv37lyvq4dRXemhZ7iMtHqZbaESYTVWemtDGZlFUYqZGRUBYxOD6GG19UpEaeIKpa6ASvfqaFkK14lApKgt8BjOpRF4awrgXzi0s5XK6Bo2ZmdUBLTvBeuEIKzI75lVgyVHr9tSqGrYnTqZDG9d8a7IsLOVyg5NAcZ1RZoyDw9d2T7xRZcuXbB69WqmY5Pi69Gna6HfUIlmSj6du9riw0XeMwUd6Xpa0nW0lNbQApRnB1TrpsZqWtSOYzVfZkyDWUOllyctc8OyxhYvA6SWDi8jKaVXr14YNmwYysrKMHbsWL/JuvPOO9GxY0e8//77+PTTT0NusgB2XdV5YwIK7XoTNSgZCyOtXkZMFYuhMrvQblVZoqrR0poAhGW8mpqhUuKiuErdCUKk99dq6xXr+CoWEyrmgbfZUlvgMdxLIxiJVSyYLQDavV6V1UVBeU6tzbsAKEV6H3kVBFnGgrAUAnm3hKhNJvPWW2/h888/BwDcd9996NWrF9frssBTV1ZMlZ264r3QrhwjxipUmgIC75MVc8XLWDlRV45aJys9thKj230FINhY6SE1WFJEgyVfU0uEZZFigF8h3o6uh3YYDBEr3fKMTGQhReseac0YqTQer6E+WvUZexujkZeXh/nz5/u3SbswdOzYEQCwcuVKPPzww/5jxO1btmwJ2O4GxEK8mtmSj9fivS6VlrEya6iUUDIRSlPViygtrOz/24CpYkHJYBlpvQLsm15diVB122yuOKmFSg+1wg6rsbKzAChiR0HQ6QPt1SaT8Xg8uOKKK1BdXY2zzz5b4Ux38UVpNyajFQmaAsKnK6WuguGqtBDTD8e4Kx66cpTJSonyYWiL2t//OlMwlhso+d9NrVZNE7uztFpZRWvxW1bTZgWepkrL0PAYG2Ymr1rn6I3LM9qVdNy4cRg/frzq/oKCAmRnZ/uNFdDU3Wnu3Ln429/+hqqqKrRu3drQNcOB1FTsq8jAvooMTaMlHmcGO1uoWJAbLDVzpWas1ExVepT6NMSnfMqT9khbsVhbr7TMFSt6MwTK7z9Ly5aU6op4NCo8w7rqOEPpRDJWpjsWcUqNOqu5MloA7Byjnt+DjdqFKnlBkHc3JrPGSnodIwXD+ppY1efX2BAdNFEEy4QyN998M5KTk1FYWIgpU6Zg7ty5zPlxKjx0ZQQ7W6lYxxU5VVcs617JCbWuSotaIromuFxeXR6PTZs2BWiCdZImI7pylMlqgA9F3sqA7oDKhuoMaqYK0DdWRgyRlrFiSY9HCxbvFiseBstsaxUrWrNHyic84c2qVaswc+ZM5OTkoKKiAvHx8ViwYAH+8Y9/YP/+/di5cyfat2+PqVOn2poPHoimSmqczI6XUus+FqpWKjXUJm4wa6y0TBULSgbLTNdAInJxUo26EmbNldkCICtaBUFetezxx2MttWDxrnlnLQBK+fXXX3HppZciPT0dRUVFXPPjVKx2GQuXrqxUWNitKcC6ueIBb00NGDAAS5YsMXyeEV05KpJX+2KCTJRSC5WI0lTsvIwVi6liSZfMlTH0puS321hJGT58OIYPHx60/cUXXwxZHnhitmVKpENKGY6WpdjaUqVmLrRaZniZK7OmSt6Kpdd6pWWuAD4GS0yD9b5pwXtMltZg4pKSEpx33nnNpkCYk3nUUKEwFAVAEXmBxmwh0EwBUK223Yq5AowXBI0arXBNJa02mcxnn32Gr7/+GidOnMDkyZPDkrdQ4yZNAeYqLMyaKhZdGW0RBozpyi2aAvjoylEmq8oXh++qz9Zdx8pI1z/erVWs6fMaexWqroGAvsGyY9IJM/dci++qz8ZNXFMkRNTMFW9DxYoRc6XVamWlxUrNYIXLXAH8FxPmPSZLbTAxACxZsgRdu3blej0no1UYDGXhT4pRc8WzEAgoFwSt1rID/Gc5kxPOwqDaZDL/+Mc/wpYnJ+IUTQHO15UdlRZOH9soh4euHGWyar1xhrv8yTE6JopXixXAd1KLULZeAeamRjeSR7NmSvr8u6aeMryQNBqi1H+712MqT5GOXqE61KaKdT0n0VzZ2WolwtNcAdYNlhljJebB6Hgsq6gNJj527BiSk5ORlGTt2TgR1pr1cBUCgcg1VwDfmc4I5+B0XemZK7s1BdhjroDQaMrJiwyz4jCTFW15ggp5YV7JFIXKWCkZF72pzJ1irrTyqZdH3q1TIjwnLyGC4d1SJRJOc8Wz1QpwnrkCzBkss+uIiURVRCvm3VMVjS1btqB3797+baxjSZYuXYqJEydi+fLluse6hVC2VKkVeoxOj6xlruwoBALBBUGrk1pIsWsgvhQjhUEnLpjqNkKlK613R+u9iWRzBYRGU0ZwsqZ0I/y+ffvwn//8B+Xl5ejUqRP69euHiy++OARZ4wPPLoBSzIxrCqXBYmlVk+fTrLEyco/tGhPnNsKtq3CMq2LFrLmyq9UKCDRXrGOuAHsMltXugKzrh5mlb9++yM/PN3zeiRMnsGjRIhw5cgQLFy7E2LFjDZ0fbk2FehwIS02ykYJgqM2V1ZYrwFxBkHcB0OgU3G6DdBWIlUoLPXNlR4UFYH3MlRTSlTF0o/yGDRtw66234uDBg5g7dy4KCgpw/Phx/P3vf8edd97JNTMJ0V7FtY70sNLCYbR7oZp5MdPdTiTUrVciLAsEq+XNLvNqFjPvjR48VvtWI5S6AoyPqzFjsOxolRENgRlzBdgz3gpgny0QCK+50mux4j2pBQtqg4lffPFFbN68GR6Px9SyCKHWFO+FL1ng0UUn0s2ViB216awtVmYKgVE1UarPN6oxfF3b3aIrswaLV7c36bvhtq62APv9c5uu4opiEVMV/IxryqMNp2UG3Wjv9XpRWVmJ6667DocOHcLdd9+N+vp6rFix4v+39+bxVVT3///rZk+AsCUsQhCjIlorKlA+sVUs9gO4Ydx+fvxQbZWPQT62aCt1+dVH5aMiEqviUtCAKELr0rKI4K6AWhWlCqIYKxECyJIACQnZl/n+Eecy9945M2dmzpntvp//KHPvPffcufeZ93nNmTmD+fPnY9q0acI6k5XaGnO/I70VBbWo1+eoA2yjsOV0gK8XXHhW4nNy2p1VZC+2IfI0SydtywhUerAu0F+4cCEqKyuRlZWFM888E+eff77ltt3yqq0jNWbpdd6w1a1nE1fQErnUuDZE+DFcmd3nCjCeuQL495eT2SqzGzF7DetiYgAoKirC1q1bbbXrZq1qbLd/PzA7g0ERF5h7Ga5EDAIBf11bAwTriLpd3PKqsT3D1QMXohZtcDJzBXjvld+cAsLllWnFLykpwWOPPYYZM2YgNzcXffv2RWFhIUaPHo3ly5cL7Uy3lFbLN5NV0QtYImZO7IYrIHgBy+1wZdauXpiKX8Ld7u+FB9YF+qeddho++eQT1NbWorGx0VbIcsur9NQOKQNsL8MVwL7mCrAXsOwuww6Yz1xp6ezVnrDvRAcqN0g/nIKMzMS/g2kN3h1xd7NW5aS1Cm2PhZ17z5gFLCf3uLKCnWXYAe/DVRgutheJW145ccrq70P2QQtep0Td3iDeKcBf4SqZnTIdKUUiEdx888246aab8O677+LDDz/EK6+8gry8PFx99dVCO5OT0o7RmQd07pXVhXZlOVmhCnAWrAD3wpXse3DxhitRM1ZmoUobqEZnHoh5nvYG1lpS2iLM7y7SDpSVlWHBggXRbTwX6T/11FO477770LNnT2zevNnwuSzc9MoKvKcJqsFA1PVXetddWVktUIU3YMWHKsA8WAH2w5UWGaHKLEjvOdzTdtjWLonvZ9x2Sh1U8Rx9tzugaRnQxj0glBmueAeDvMEK8E+4cjIAVPscpiPv8bjplRtOAc68EhGuAOdOAfYOWADB8CosTnGPkNLS0jB+/HiMHz9eZn90UcOVNliJvr7HabBScSNguXUPrkMHu+uGIrv7Xq8tbbBiBSogMVTFU9VxhBm0jCgpKcHUqVMtvebgwYPo3bs3AGD27NlYtWqV5fdV8dIrPXhPE3QKT7gC9E8NBPQDlhlmwQqQG66s4nQFQNbzeEOT05tXe4XfnHJjQCNrIGiGlQEgkDgIBNwPV1YHf2EZ7DnFb17JxopTgHWvdrbXM4OWU6/cDlfkFBtfLeFe3Z6DJ2tGc4UqnqBhFCLsLGBhhoyb9aqIvAeXFWQtVqEXrtRgpQ1UR4NTbD+qOhIH2eq2AYL6yLpAf/r06bj//vvR2tqKq666StC7ycXKwhfawT0rQJjNYGXUHPWotfdRL4xODdQLV4C1gKUXpOKxE6wA/X0oMmDJWPVPL1Bp962K9nNrX1tRnyc8bMlcUMYtrFw/oh2A8A5yZBxlB+wHLKNBnxYnwUpF5EDQydF0noFg/P5kobcPRJJsTgHeeWXmFOA/r0SHK5le+cUpQIxXvgpZta3ZWLXzxzEDezVc2Ik+vMHELFhlHQSaDRYw5Fmlzw5eBSsz9PrFe9qhGq6MZq208MxQqaeXqgulzBxk+HRuWBfojxs3DuPGjRPzJi6hHahbXWkwHr2ApQ1VKtpwBSTOXrFmV4wClh2MQhWQGDB4whVgP2CJnKGSfSqfjPZZC8qUlpaid+/e+Oqrr3DjjTdi+PDhwt9bFLKuyXKy0pnVgaAoeAeAgNxwZWfgZ+WIusx96JRkdornd+PWQQtAzDWNek4B1g9YAP72ys9OAWK88lXI6mhJQ+223tFAZRZ+nIQbo7azLCxeJ2p5diuBysly8Xbfk7ct7edVw5XRrJUerGvyACSsOKl3nd7MU3l7HX4yU9tjBsoV9XmmgYt3VTy9YKWiN3vFe2qgCitgbWntHjObFR+idF9jMVgB5mHU7NRK3kUprM5UxQcfvZkpI/RmraySXg9k6Cywl9YA05sRsxaUmTx5MgYNGoSXX34Zb7/9tq8HhEDiQMLuUWSnF+HbGQjahTX4A+wFK7v44Ui6EXaOsqc1ATn79B9Laeu6flh7NF3rFTkVi4gFY9w8aCHLK6sBy65XImd9WdiducqpAtJ0ynRjHbB+/XrMmzcvuk1GrfJVyIq0O18W3QhW20ahijWDxduHlJr0aPCwE2qsnr6oPl/W7BoLs3BlBZ4gBfCdQprSyv5+U5zd0zXwWL2fk1GoUuE9NRAwDlhmmAWr+FAFiAlW8dhd3Y8nWLFmkazuKzuvdxLE7N6MeNCgrinoDRs2YMaMGbbf3wusDAbtDABVrAwEAWcDG6OBn4rRwMdquJKxApkbgz/eNp2e3sSzKFM8QXaKBSs42PXKzYMWyeIUIN4rVntOvBo7diwWL15s+XVWvPJVyEppPzog1oab+MDAmh2yep2VzHClRdQslRUyDqZID1p6wQowDlfawKT3b5X41SP1AhXvjGcy09KRxrxJLiAmWKnwzl4BfKehaYOS3qyWXpDSohcUjK4vcnoaJQsnp/4Zze6ZfX4jjE7D3NJcEH1fEbNevCiKgnnz5uHGG29EQ0ODrRsSuwXr+hGjI8dGg0B1BqORcUGp1YEgwDfI4Rn0aTEb0Hhxg2YtXoUqHrTv68b1JEA4nALsBSszp4BYr3ic4sGqU4C/vfKzU9r3dsspwJpXvgpZHVlA7ZgWoW3qDcDNTgc0uv5KJEEMB6xgZZWv6o7hClLR///hv0HcZ16ivRmx3dMAM2oT223tpfl/k9krwN7qdlrsBCrAfIU8GcHKy1kqFeaplg6CmShYC8r84Q9/wHfffYctW7Zg4MCBuPvuu73uqil2T1tinRamh9FAEGAPgt6vHeZo8MM7aKEBoPeEySnA3sEKllM5+xKDltlBC1mExSmAvOL1ylchKzWzHaOPr2Q+zjpVjHf5dafhStY1YDIQNYsVP2sYH6xYs1YVtX1jHuO9r5mdpfS1n1XkfciMVpapqanBSSedhKqqKmHvJwuzcMUTqrSYBSxWuDJCG5J4V79j4ebS41aup+Jd6c9o1o4VkvhXYNzFbIfndEoRsBaUeeihh6S8nyysHF3nCVV2BoJmA6L4QZ2oo75eDQK9CFW8CxmIXKzAKmFxCuA/xZb3QIXWK95wZfQ70/s+ySvr8HhlxSnAn15JD1mrVq1CeXk52traMGzYMFx55ZXM52aldlhuP35QHj8gt7KIhRlmp+B5Ncsi8rRAvZBidcZKDVRmM1UA36mUzSfEzm46veaLF9bKMgCwePFiHH/88VLfn4UVpzo7Yn+TarjSBqv4UJVVo0T/v7l3JPr/Vmev7MIbqESEgPiQxJrZsrOMusjZKqurLMYvDqJui0fd10b3AdMjs05BVoqSsD29IXFbULDiVUdb4t/6+IGgnUEgYH5TYSfYHQT6efCnImoQqA7+1AHe240nmA4ItYNB3nsWJQNWnYoPWHadAvi8EkVYvZLllB20+zhITkkPWSNHjsSkSZNw+PBhTJkyxSRkxS7haTRzZXT6mMhgFY9fTlcTEaxYsz6sUBUfaipq++rOUMXDutcWK2CxFtEwup9WLImhyA6slWX27t2LHj16oFu3bkLexypWnEJHBFnbjy4DZxSo4tELWKxl2QH9gLXncM+EgOLnm9yKvieVipVgtaW5wDRUma2uuKW5AFuaY7cZ3QNMRfa9wPyMFa8ibZGYAaCVwZ8WpwFLHWzIurmnF4MZNweARuFJOzA0GxzaCVZu3KTaa/zqFOCdV8kQrFheOXEKCFa4UpEestRVOFasWJGwCkf8kqSNNV0hSx24q4NzL0OVH3EasKyGKz14whVgfDPjzt5thsu8A8ZLvfOQ2qogp1p/f6W0d/0GFyxYEN3Gs4LTkiVLcMstt+D555931De7WHFKqW1ARm1imMo6dHTWuLlPasxjPLNXejQczuYOWmHCabiycy8wNVglzFb9cBqg3gwVYP0aNBkBy683TrXiVWddQ3QQ2H2P8RkYR45JTdhmdDF+PDX7epjOZAVx8BGPH+9ZFT8QFDVLpRew0hs7mb+llLZgzhD71Slegu6VH52KR1SYYh206LavA+mZib+n+sPurMDtyjVZa9asQWFhYVQ4lfgBbeZxg/FpxbExNyC2evofa0DdmG8+AyUrrIlcSMNuwDK7VoknYPEGK4AdruJXIfxR7p6EmSnWzYerOrpeq95HK/4mxEDXghp/t3Az4pKSEkydOpX/BQD279+PRYsW4fvvv8fTTz+NKVOmWHq9CHid6pZXgF4V+mvV84YrwDxgqRgFLT2CGr7MFu/gnbmyFbA011Ops1V2ZqmMVpZUTyfNrf1hw7WWu8mEdRru1q1b8cILLyASieDqq6/25J4+vF51710gfCBodDqTOoBw6wJ9t7A6U2B3IKh3ZN3saLrdFd94rinqbXOWJoiIdAoQF7DC6hQQXK+s3Kw8KE5JD1krV67EnDlzMGLECNTX1+Ovf/0r87mRlgiytmUahh1WiDJD+zqewCUSvWXp3UZ7vy5ZxAcr1rLu2pkqq2iDlbr8e0Vt35hZT5xlu/kYWCvLPPTQQ/joo48QiUQ8WRLXilMp7YlHQOPDFRAbsJyiHbyLuEbLb9hZHZEFz6mB2ueq8FxLpQZYVrjSXp+nnkaqznhmHZJ3EznWabgPP/wwZs+eDQD44x//6PoslxWvUlutBywRiB4Y6g3G3Dp6L+sURz3ir6vSGwQ6veZDOwhUB4DaU954AkTYEOkUIMcr7fdGXtmHZ5EKJ14F1SnpIau4uBjFxcVcz01pB/qUy5/CsxvUnIYzEWGLdU0YzwyXOkOoF7aMTuuzSvwpgNrZKhV11kobmuJvQqyiDVPavmqv6cqScK0ca2UZACgqKsLWrVuFvycPVpyKx27AyqhJ0Z3NSqlNi7kui5ewzmDZwery9GY3UVZD1LeHs41np6CGKiXm9FGVzAPs22lkHO5EVmfiazKOdGLDhg0YNWpUdBvvTVR3796NvLyuz7Zrl/UZPqdY8aojgz3YMxoI6i0nrZK5L13qxfm8g68R+Xt8e5qUk2XpjRanUBF1JF1v8NdtZwNPN0OFKKcA+wHLL165gdt9ke1Uzj6gt+bfQfTKV0u4p/wwVsuubjV+okWa8jPMn8SBUTizEsBkzGxpw5dZ4NKGE5GzW1ZW/VPDFXD0dD/mzBRiP198813fizvn1wYZ3oAVf6ogoH+6oF64Ys1cBTVUuY3RaX9m11NpZ6jUQKW9Hk87O2UUoJwyZswYLFu2zPLrBg8ejAMHukJsQYH39/Oyg9FA0OyUJrOBYBhPa7KD1aDl5JoPo9mp+AGf3wd7QcauV+QUH35xCoj1KgxO+SxkKQkBK2MfW4LWAXyr89gNbVbCWU51p+WZLifXgBkFNKMVEOMDGM8S6vGw7p3FCldf1R0TDVAqeitHagNV1g+PafcRK+SKDuVhhCdg2Q1XesEqrKFKDT5mM1pW7usV37aK0TVURjNU8bNT8YEqrbpO9/3b83Mt99kOrNNwf//73+Pxxx9HJBLB73//e1f6IhIZA0GRg0Dtiml+mKlysoKblSWzrRxJB2KPprNmp8Iw+AsKLK/84BTgr8Ux3HJK+17x2HUKCKdXvgpZkbYOw1AVj95zeYMXD/GDd7PQ5eZ1X3ZvrGxnCXq9YKY3AxZ/A2J1G6AfpICuz9Hrh+ce3X9d/+UNT0a/mdTWTmY7etcrhY3OtAia+6QKC1SA8XVWfgxXZjNAdvrMG7ZYr9PCs2x6Sm1a10JAmhkqoCtQqTNUaphihSgjWAGrJS/TcltmsE7DPeWUU3DPPfcIfz9ZiB78Ae4cWffToBAQt1y21TAFQHfJcLMwFdn+PVd/lOPYKzA1DBF7+4/GxkbMnDkTQ4YMQf/+/aNLpb/wwgvYvXs3Ojs7cf755+PHP/6x0PcVTVCd8htuOAXY80qWU4BYr0Q55auQhdY2KN/rLxESGcS3fIyVkAaIDWVa7F73xYPTlRJFnKaovb5Lez3XoYPddW8QHT8zFb9/WEHI6vfJ+v0kK0pq14wVz2qBQT39z+qy5FZeb/Y5ee/5xXoP1gp/rEClN0OlF6qU/dUJ2yL983X7EB+w4oOV3ixostOp+RPHGgC6eTQ9DIgIfzyDPoD/9CTewZ8WN8OVyvLlyzF69GhceeWVKC4ujhkQ/u1vf0NVVRVmzpyJZ599Vsr7i8CpUwB5FY9sp+IPwfF4ZccpgO2V353yV8gyQDt45g1cPGTsq5cWtGTh9NowVgAzmv1iXeeld81U4il+7Jkp3hBF4ckenanAkeP0vzvWghV+XhHQaaDy4v1Y95pSZ6eAo4EKiJ+lYgcqNUgZzcfGByujQKUNU2aLoWTUtCKzJfG6rrR6easS+onO9NiBIO+F9WEZBOoNvNz6bGY38bUTqOwO/AD9wZ/ewM9s4Ya0hnbm6VIprZ0J95XSLiiza9cuFBUVAQCamo7+/Z41axYWLVqE3NxcVFVVmX8YD4l3Ckgur1i/azc+m1WnAH2vRBykAPgDFc9iKDm7G5GRnljPMmpasX79esybNy+6TYZTgQlZKiIDFmBtJsuLa3+sLtoRH8DsLMgBJAYunptAm81OmQUqJ0Gqo178HyK/3jTVCkqmYrj6n91A5WT2x06bvIi8eS5r31h5D22QAvTDFKBdnCLxOio1WCn7qw0DlRZtuNIGK71QZffm08mMkq6E7qi62UBL9uutoDfoA2IHfoDxNR8ig5XZ4E9vZsbqindGq3QWFBSgurrroEt29tG/T7m5ufjNb36DiooKbNq0ydL7uQ2PUwB5JRM7XskMVla9surU2LFjsXjxYt3HRDkVmJDlZbjyEm1QsbNKot3QZeVeZTLClJ3QlNpD7Hfq55um+hkZs00iw5Oo99QuPhGPNkwB+oEKSAxVVmeqADGBKrqNgpUwavb18NWA0M3BmghYAz6V+IEf4M7gz06g0iJjOfHLLrsMM2fOxP79+zF58mRcf/31WLhwIVavXo1Dhw6hpaUFM2bMEP6+yU7QnAKMvfKrU4Cz6/LsIMopX4Ys0YFKi8hw5fb1X2qYcbIkvdNrxaye8mdldkpGsEppaWf2L9LWgbKyMixYsCC6TXu00K83TRVJfJDw4lRBGQHKKACJIj5IRbfXxv7bKFQB+sHKDLNgFR+q1EDlhxDFuqB44cKFqKysRFZWFs4880ycf/75HvfUOU4HYWYhLWyDPD30Bn4A3z1zRAwCtQNA7eBPxOyUKHJyclBaWhr9t+rUtGnTPOmPTET85o28SganAH6v3AhWfvRKlFP+ClkZ6VIDFmDtGiyrIcpKe04Cl9PZLSvtaxF1up/VMCV6hkpLSUkJpk6dauk1Xt80VSZWAo9ZIBMZntwITVpYASrmObWJ2/QCFWAcqnhOAdQLVXZmqvwA64Li0047DZ988glqa2vR2NgYipDlFK8GfHYGbU5hDfoA/puQiliowulMFeF/vPDKC6cA516JPlABWJ+pCjL+ClkuITo8eYnM68REXkMlepZKdhg3Igw3TRWB3RDlVmDiCUqmbdSyH9MGKiA2VAHsYAWYz1jZnanSImrWSu+avrSaI0hryErYnlrfhA0bNmDUqFHRbfHXkrAuKH7qqadw3333oWfPnti8ebOQvhNH8WqQF4/RoE9Fb/AHyAlWrCPqgPWBn3YfezWrRbhHWJ0CrHvlZKbKjCB7FciQpXy/T8og287CC14O9kUgY3U/0TNVXu3jsN40VQRuziyJCEuG7dcaPx4fpqLbLYQqgB2sjFYANJutAvw3YzVmzBgsW7aM+TjrguKDBw+id+/eAIDZs2dj1apVcjvqY/wyeLMDz4BPC2vwB4gZAIq4oN4qQRsIJgvklXdOAc68CqpT/gpZBvfJiscPS3o7GfzLvpGy09k6O/vXSrjSC1Z+C6yhuGlqR8T1U+1YyA5LzPettfZ83lAFxAYrgC9c6d2vyugUQEBOsGKtOhn/exH9+2FdUDx9+nTcf//9aG1txVVXXSX0PUUTaYsEesDmFKsDPi1GoQpgDwIBvoGg2QDQzg1vjRA2+DvSyPx8kZZgDjCtQE45e71dr0Q4Bfg3VEV27kUkJfGsm0hzrZD2zfDH6CtgyAoDXpzGKHvZdLdP+fND+A4CXgUeUVgNTnqwwlT0cY5QBegHKy0i71VlFq78sLCFGawLiseNG4dx48Z51S0Czgd6epgN/gDjYKWH0Q1/AWv3qXI6a5W5L517QJjMISJZ8btTynGDENn+valTAL9Xbl5f5XenKGRZwG8zLVYRFUDMwhUrWInaf5Y+R3ML+/mtSXB0sN1fgUpEOLKLWagC9IMVoB+uAPOABRiHKiA2WAHsGwGzApbdYGVlCfp4lAM1UFIT96fSZr4/CDnIGMzZhWcQCIgLV3Zu/mt1IBgfpLSDO78P9Aj7BM0rq04B/DfUBsR6lQxO+SpkKZ2dtgfwKk5fzyIIAUvmLI7efuXZlyL2m6xVC5OBlA5vg41X8ASq6HMZwQpghyuV+ADFwixYAdbDlROsBO9k/P2YkdLmr8GXH+ANVoC9gaAW1gAQEB+u9BC5ZDbRBTmlj6wDFvF44ZSVWWA9gvB78VXI4sHuQNpOuPJk5sWHqPtcdqiSvVohEU6sBKqY1xmEK8A8YLGID1QqVoIVwB+unM5UUoginGAlXNnBaPAHmA8AAfeDVRAGf4S/kemVmVOA/7wKqlOBC1m8yLy3kkrQwxMvMval2b6jECWGSIf9ECIao0Ch4kZfzcKVVVihCtAPVoD5vhAxe0XhiZCN3YEgzyDPCJ4BICDv2pCgDvgI/+OVU4C3XoXVqdCELC+CAJGI7IU03KSxsREzZ87EkCFD0L9//+gF+nv27MFLL72Ebt26YcCAAbj44os97mkw8EPYsxKwjMKTEaxgBfAFTasBS1SYcuv7Ia8IO/AOAAHxg0C/DwDJKcIOXjoF+NsrUU4FMmS5MUtFyMOtMNWjRw80ttehvm4vciLdYx6rU2rQiXaUlZVhwYIF0e3aG6cuX74co0ePxpVXXoni4uKoZKWlpTj55JNRV1eHCy+80JXPQjhH9AyWFqNgBfCFKz1kzUY5CVT/XLoREaSgMHJKzPZOpRP7UYFt27YZ3oyYvCJ4sTIIdIqXA768vDzUtVShsWUPMiOxy03XKNWIQEFZWRnKysqi26lWEXZxyyuvQ9SXb3yL7qhCQeT4mO0dSgeqUIEtW7Ywa5Uop3wbsihIhQsvZqm6d++O9z9bh3PO/DlOU4qiQatOqcFWbMSmbf/C8ccfj6lTp+q+fteuXSgqKgIANDU1RbeXl5fjqquuQmFhIe644w4888wz8j+MTVLaFVvhwiw0BJHmPqlCgxbPPrITrtxYnp6rDca++nfbFhSkF+I75WsURk4G0BWwtuJTdEfPmIGgHmHwSovR6T1uhoSwIGKf5ewzPvLu9eAvnoEDB+IknI5N+BCnK2dFg1aNUo1/4wt8s+crDBw4MOZghZawOaVF9StZXDpyTKrw67HccEp9jp/Y1vQVBmcfh4gCDP4haHUoHfgCHyEfx+CRRx5hvlaUU74KWZGUFKR290+4YgUDCoDGiAxUTvf1GWecgfc+WxsNWu1oiwlYRhQUFKC6uutGstnZR48u9u/fH7m5uejVqxdqamoc9c+vZB3qCGXQEoEf94vVUOUkbKalpWFX23fRoDUUJ2ErPkU35GKb8qXp68PgVUob37UT3fd0JM3g0Cmi95NfBny8A+aNyjqMipwbDVqNOBITsIxIBqe0j5FTfITVKYDPq6ysLOxu2o6C7OMABRiIoT8ErIH4WvnM8LWinIooiiL1RHzWeY169EzNQ1H3STK7w8TpjXUJd1d+NOL1w4sStn3++ec458yfAwBXwAISf7uvvfYaFi5ciC1btmDp0qXo1asXzj77bJxzzjlC+2+1X0ZO9eg1GGecc7Pj9/Q6WKgzQk5maJzOYtndB3ZPFVQRea2U3X3w3qo/JGxrb29HQXohjqAO/TGYK2AB4fCqe+8CnD6O7VWyDAJFHHFP5n31wbIZCdtGRc7FN9iECFK4AhYQfqeS5Tei4tSrZN5fek41NzejIPs4NKMJg1FoGrAAcU5JD1lLly5FZmZm9LzGlStXRh+LP8f4yy+/xKmnniqtL9XV1cjPzw9c29S+tfbz8vLw+uuvJzynoqICWVlZGDTI/M7mfiZZnAp6+0Hue3z7LKfa29uxYcMG/PSnP5XWD7fwi1dh+t1Q+8bts7wqLy9Hnz590K9fP2n9cAO/OAWE63cTpLbdbp/lVEtLCzZt2oQxY8ZI64cuimTuv/9+Ze3atYqiKMr48eMNnzty5EipfZHZfpD7Tu0Hi2RxKujtB7nvbrTvN/ziVdC/V2rf2/b9hF+cova9azsM7TvB2V0sOWCd10gQhD3IKYIQD3lFEGIhp4hkR/rCF5dddhlmzpyJ/fv3Y/LkybLfjiBCDzlFEOIhrwhCLOQUkexID1k5OTkoLS3lei5reVJRyGw/yH2n9oNFsjgV9PaD3Hc32vcbfvEq6N8rte9t+37CL05R+961HYb2nSB94QuCIAiCIAiCIIhkQvo1WQRBEARBEARBEMkEhSyCIAiCIAiCIAiBUMiySXt7O2bNmiXlXFCZbROEX5H9uyeviGSDnCII8ZBXBC/SF75gwboT+NatW/HCCy8gEong6quvxvDhw4W1/dxzz+G9994DAEybNg0jR4603f+GhgZMnDgR8+fPj9kuov+stkX1f9WqVSgvL0dbWxuGDRsmdN8btS+q/5s3b8ann36KxsZGHDhwAPfccw8AYP369fjoo49w+PBh3HLLLejfv7+t9oOKTKeM2hf1vcp0yqh9Ef0np8JLkGtVkJ0Cgu0VOcWGapW99qlWBdArr27QtWTJEuWll15SFEVRLrnkkuj2KVOmKFVVVUpVVZVyww03CG37ueeeU55++mnl8ccfVw4ePGi77yrbt29XpkyZErNNRP9ZbYvq/+7duxVFUZTa2lrl8ssvj24X1XdW+yL3f0VFhTJt2jTlzTffjG4rLi5WOjo6lE8++USZNWuWo/aDiEynjNoX+b3KdIrVvoj+k1PhJei1KqhOKUrwvSKn9KFaZa99qlVdBMkrz04X3LVrF/Lz8wEATU1N0e27d+9GXl4e8vLysGvXLqFtX3LJJbjuuutw0UUX4a677nLQezYi+s9CVP8HDRoEAFixYgVmzJgR3S6q76z2Re7/wsJClJaW4sknn4xua2xsREpKCvLz87Fz505H7QcRmU4ZtS/bK5lOAWL6T06FlzDWqiA4BQTfK3JKH6pV9qBa1UWQvPIsZLHuBD548GAcOHAABw4cQEFBgdC2t23bhkgkgr59+6KqqspB79mI6D8Lkf1fs2YNCgsLo0IAYvuu176o/r/xxhsAgO7du6O+vj66vVu3bujs7ER1dTWGDBliv/MBRaZTRu3L9kqmU4C4/pNT4SSMtSooTgHB9YqcYkO1yh5Uq4LnlWf3yYo/Z/a1117DwoULUV5eLvw8d7Xthx56CNnZ2di/fz8uuOACFBUV2e6/oigoLS3F6tWr8eijj+KJJ54Q1n9W26L6v3LlSsyZMwcjRoxAfX09MjMzhfXdqH1R/V+6dCl27tyJlJQUDBkyBG+++SaeffZZ/56T6xIynTJqX9T3KtMpo/ZF9J+cCi9BrlVBdgoItlfkFBuqVfbap1oVPK/oZsQEQRAEQRAEQRACoSXcCYIgCIIgCIIgBEIhiyAIgiAIgiAIQiAUsgiCIAiCIAiCIARCIYsgCIIgCIIgCEIgFLIIgiAIgiAIgiAEQiGLIAiCIAiCIAhCIBSyCIIgCIIgCIIgBEIhK2Dcdttt+OCDD7zuBkGECvKKIMRCThGEeMirYEEhK0DMnTsXJ5xwApqamrzuCkGEBvKKIMRCThGEeMir4BFRFEXxuhOEOX/5y19w1lln4YwzzvC6KwQRGsgrghALOUUQ4iGvggnNZAWAmpoaVFdXk1wEIRDyiiDEQk4RhHjIq+BCISsArFmzBhdddJHX3SCIUEFeEYRYyCmCEA95FVwoZAWAvXv3IjU11etuEESoIK8IQizkFEGIh7wKLhSyAkBxcTFuvvlmLFu2DC0tLV53hyBCAXlFEGIhpwhCPORVcKGQFQBOPPFEvPzyyzh48CCuu+46r7tDEKGAvCIIsZBTBCEe8iq4pHndAYKPjIwMFBYWorOz0+uuEERoIK8IQizkFEGIh7wKJrSEO0EQBEEQBEEQhEDodEGCIAiCIAiCIAiBUMgiCIIgCIIgCIIQCIUsgiAIgiAIgiAIgVDIIgiCIAiCIAiCEAiFLIIgCIIgCIIgCIFQyCIIgiAIgiAIghAIhSyCIAiCIAiCIAiBUMgiCIIgCIIgCIIQCIUsgiAIgiAIgiAIgVDIIgiCIAiCIAiCEIhvQ1ZNTQ3mzp2Lzs5Or7tCEKGBvCIIsZBTBCEGcokIG2led4BF7969cejQIaxevRqTJk1y1FZFRQXuuusunHnmmdi9ezf69u2LP/3pTwnPe+SRR/D999+jW7duaGlpwezZsxGJRLBjxw6cd955KCgoAADU1dXhtNNOw7PPPotvvvkGzz//PLKzs7F+/XrMnDkTo0aNwsUXX4wxY8agtbUVFRUVWLRoEbKzswEA//Ef/4GsrCwAQGpqKt555x3uz/L2229j+fLl6NevHyKRCO6+++7oY3p9+clPfhLz+lGjRmHDhg1ITU3ler8PPvgA06dPx8MPP4xzzz2Xu58i2LdvH+666y5s3rwZn376aXQ7z+ck9BHpFcD+jlRY7hk5pdLU1IQxY8Zg/Pjx+POf/2zoMU97Rhh5pdeXeILiFev7crr/khnRTvHWB9ZvkvV6q9tZ9ZAXPac6OzsNa6OWoDsFAA8++CB27NiBvLw8fPvtt3j66ad1PyvRhdv1CTD+2896zOp2s8fsYNQez+cOil9GdV/0PpWC4mM2b96sXHvttY7b+eSTT5SVK1dG/33yyScrGzdujHnOZ599powYMSL678suu0xZvny5oiiKcuDAAeWtt96KPnb33Xcr77//vtLe3q5ccMEFSkdHh6IoirJnzx6lqqpK6ejoUO69997o8ydNmqQsXbo05vV2aGhoUI4//nilubk52se3335bURSF2Zd4Ojs7Lb/vr371K2Xt2rW2+uyEv//978qqVauUkSNHRrfxfk6CjSivFEX/O9LCco/llJbf//73yrXXXqvceuuthm0pCttRHoy8YvUlnqB4xfq+nOw/QqxTvPWB9Ztkvd7KdqN6yAPLKbPaqCXoTu3du1fp3bt3tFYZfVbiKG7WJ6O//azHrG43ex8z1q5dm+CoWXtmn1tRguMXq+472adu4tuZLAA47bTT8PXXX6OtrQ3p6em22xk9enTMvzs7O9GtW7eYbdu2bYsexQWAwsJCvPPOO7j00kvRt29f/OIXvwAAtLS0YOPGjZg5cyY+/vhjKIqCxx9/HI2Njejbty9uuOEGRCIR3HXXXQCA9vZ27N69GyeddFK07S1btmDOnDloamrC6NGjceGFFwIA/vSnP6G9vR2pqano0aMHbrvttpg+fvTRRzj22GORmZkJAPjpT3+KNWvW4LzzzsOnn36q2xctq1atwvTp07Fu3ToMHToUzzzzDO68805MnToVlZWV+O6777B69Wrk5uZi+vTpaGtrQ2FhIXbv3h1tQ6+Ps2fPxj333IPXX38dGzduxDvvvIO5c+di2LBhMe9/xRVX4MiRIwnfz1133YWf/exnCduvuOIKrFu3LmYbz+ckjBHlFaD/HWlhucdySmXJkiX46U9/ii+++CL6mzHy2Kg9J16x+qJF69XatWuZTgHw3CvW92X2fRDGiHSKVR+0GP0mWa+3st2oHgLOnDKqjSphcConJwcZGRmoq6tDr169cOTIEfzoRz9KeB4Ri5v1yeh3ynoMgKXtRm2dd955pi5Z7TfP5w7SWJBV9832gV/wdcgCgAEDBuDdd9/FhAkTAABfffUV3nrrLd3n/upXv0Lv3r0N21uxYgUmTJiA4cOHx2wfPXo07rzzTjQ3NyMzMxMbN26MKTIqzz//PP7rv/4LAFBZWYmPPvoIzz//PHr27Ilf/vKXyMjIwK9//WsAwBtvvIFHHnkEF110EUaNGhVt4/bbb8dPfvITdHR04JxzzkGPHj3Q1NSEjz/+GG+++SYA4Nxzz8X48eNx+umnR19XVVWFHj16RP+dm5uLqqoqrr4AwKRJk/Dwww9H/33ddddh8eLFOOuss/B///d/uOmmm/DWW28hKysL3377LV577TUAwMsvvxz9PHp9vPPOO9He3o6lS5ciIyMDy5Yt0z0l4h//+Ifhd8MDz+ckzBHtFQ8s97ROAcDWrVvx9ddf4/7778cXX3xhqa349li/WV6vePqi9Yrl1OWXX441a9b41ist8d8HwYcop/TqwznnnBN93Ow3yXq9le1G9dCpU2oberVRJQxO5ebm4sEHH8RVV12FgQMHYvDgwTjhhBMct5sMuFWfjH6nrMesbjdqi8clq/3mIahjQW3d//zzzx3tA7fwdciaO3currnmGixbtiwq249+9CPbR4PWrl2LtWvXYu7cuQmPDR06FGVlZbj33nuRn5+PU089FT179kx43t///nesXLkSQNeXOnz48Ojzfvazn2HdunXRAf+ECRMwYcIEXHvttZg3bx7+93//FwCi1w+lpqbi7LPPxtq1a5GTk4PGxkY88MADAICCggJUV1fjqaeewooVK9C9e3dMmzYN9fX10b7U1dWhX79+XH0xQj3KkJ+fj/r6elRUVODEE0+MPl5YWAgA+OKLL3T7CAB//OMfccopp+C3v/0t85zz4uJi3aMXd999N84++2zTfpp9zvb2dsyZMweVlZUoKyvjai8ZEe0VD0buaZ0Cuv6QZmVl4YEHHsAHH3yA1tZWzJ07F7fccotpW/HtsX6zvF6Z9YVFvFNA10DBr15pif8+yCtzRDqlVx+0IcvsN8l6vZXtd999N7MeOnUKYNdGI4Lm1KZNm/Dggw/is88+Q1paGm699Vbcc889KC0tJacMcLM+9evXj/k7ZT1mdbtRW0a/0wsvvBAdHR04dOgQDh06hI8//hgA8NBDDxm+lxP8PBaMr/t6+yAvLw+zZs3ylVe+DVmPPvoohg8fjgkTJuCBBx5AR0cHUlNTDY9oXHvttejTp4/uY2vWrMH777+PRx99FHv37kVlZSWKioqwY8cODB06FADQp08fzJo1CwBwzTXXJPzhX7duHYqKiqJT2GPGjMHBgwejfausrMSwYcOwdetWbN++PXo6xnHHHYfvvvsOAFBeXo5//vOfmDJlCgDg22+/xaWXXop+/frho48+wh133AEAePfdd3HCCSfgP//zPzF16lQAQGNjIyorK9HS0oLMzEz885//jPaR1Rce4i9mPuWUU/Duu+9G/632fcSIEbp9BLoK/x133IHS0lKcf/75URm1aAdudjH6nA0NDZg4cSLmz5+v+9qvvvoK69evR3t7O0aPHo2ioiLH/Qkaor1iofWK5R6Q6BTQ9Udapbm5GUeOHIkOII3a0muP9Zvl9cqoL0boLRDgZ69U9L4P8soYkU6x6gNw1Cmj3yTr9Va3A+x66MQpo9poRtCc+v7779GnTx+kpXUNswYOHIidO3cCIKdYuF2fioqKmH/7WY9Z3W7UVkdHB/N3qp6CuG7dOqxbty7m9O3jjjuO+V5O8OtYkFX34/fBtddei8GDB/vKK1+GrFdffRV1dXWYOHEiAOCcc87BunXrcN5559k6ovGvf/0LV111FUaNGoWf//znaGhowE033YQxY8bg3HPPjZ6XOn36dJx99tnIzMzEpEmTcPLJJ8e089RTT+Hxxx+P/rtPnz6YM2cObrnlFuTn56O6uhp/+tOfsGfPHjz99NP4/PPP0dbWhq+//hqPPfYYgK6ZmDVr1mDPnj2oq6tDQUEB/vu//xspKSn45JNPcOedd6JHjx6oqamJHiVQycnJwfz58zF9+nTk5+fjtNNOi55/yuqLljVr1qCyshJPPvkkHnjgAbz11luorKzEokWL8Otf/xrvvfcetmzZgieffBKvvfYa/ud//gcFBQVQFAVLlizB3Llzdfu4aNEizJ8/H6tXr8a7776LSy+9FI899hjGjh1r6XuKZ/369ViyZAn27t2L++67D7feeqvh5+zZsyf69u0bff0jjzyC/Px8bNq0CbNnz8b999+PCRMmoKqqKinPjRftFaD/HWVmZka9OnjwoK576h+3eKe0LFu2DO+99x5aW1vx/PPPY9iwYYZt6bU3fvx4R16x+nL11VdHH9N6dd555+k6deGFF+LCCy/03Cu970t7tFHv+yCv2Ih2ilUfOjs7Y2oVoP+bZL1+3759lrYDYNZDJ05VVFQwa6OWMDg1ceJEvPrqq7j11lvRq1cvfPnll9Gj8ORUIl7Up6FDhzL/9hvVBavbjdoyc0kPs5pl9nc+SGNB1vi9qKgoYR9ccskl2LFjR/S1fvAqoiiK4so7WaCpqSnmB9Hc3Izm5mb06tXLu04RgWDHjh2477778Mgjj2DixIm44YYbUF5ejpKSElxwwQVYu3Ytdu7ciddff92fy31KhLwi7EJe6UNOEXYhp2IhlwgR+M0rX85kxZ/HmZWVFb2PB0Hw0q9fP/z617/Gl19+iby8PPTv3x+5ubnRe3EkG+QVIQLy6ijkFCECcopcIsTjB698OZNFEHZQFAWlpaVYvXo1Hn30Ubz++uvIy8vDoUOHcMcdd+Ctt97CBx98gI6ODkyePDnhdFCCIBIhrwhCLOQUQYjHj15RyCIIgiAIgiAIghBIitcdIAiCIAiCIAiCCBMUsoik4S9z+uGv8wd63Q2CCA3bt2/HTdf3Ql1dndddIYhQoCgKSv+Uj1VLjvG6KwQRGr5Ydyx+N7U3mpubXX1f6QtfdHR04NFHH0W/fv1QW1uL3/zmN8zn5h47HIWTpsruEheNA/iel7PP2ft039PhrAEGR45JldJuENj0+O8Sts3+Yx4+29KC2sOdaGkdgOtvdvjFeQg5ZQw5JR49p7Zv345LLx6OKy7qgYsnDMArb+xDbm6uB70TQxC94nUKIK/8SLxXiqLgDzf1Qe3hTrz8+hF0dByDS3+9x6PeOSeITgFUq4KMXq36Yt2xuPY3+zBpQndcemFfrFhz0LVFVaSHrFdeeQWVlZXIzs7GGWecEfNYWVlZzF2Zmw9Vye6OLlYKlQhkiUXoM/uPedj0VQv+Om8AWlsVXHb9XihKf0y5Zb+t9qqqqvDb3/4WF198MX75y18K7q05YXeqcYD14uWGU933dCR18dKyfft2XDbpZCx4qD9GjsjCsBPSHQct8socqlXhRQ1YDY0KnnywH+rqOzHpmj0A7ActcsocqlXhRg1Yzz85ECedkIGyJYcdBS2rTkkPWeXl5RgwYACmTZuGCy64AK+++mr0sZKSEpSUlET/ndOvQGpfRBcoK3JRsfIGNWAteWIA0tIiSEuLYPmigbjs+r0AjIPWqlWrUF5ejra2NgwbNgxXXnklgK77eYwfP96lT5BImJ0C+L0ip7xBDVhlf+6HkSO6itQVF/UAAK6gRV4Z46VTAHnlBdqA9fj9+UhJiaBXz1SsWnIMV9Aip8yhWpV8xAcsACi5piciEZgGLVFOSQ9Z/fv3R2NjIwCgs7NT9ttFkXnET7RY3XY2JGxrGNLNSpcIHaqrq/H8K4exfFVf7MERoP2HBzKAxxb0wPnjD6A9+yksWLAg+hrtH/6RI0di0qRJOHz4MKZMmRKV7Nhjj0VqqndHicLoFMDnlZdO0ZHBLv7vzhH43R05yP9RG3a2t0W3/2QisLkyDddPHoQde0+Kbo8fTJFXsSRzrSKnuigvL8fHXzbiuaW9sbvzCKD+/LoB857JxRWXVaO6NXbmh2oVm2R2CiCvVO6cdQCz/twD2UNbsLO9Jbp9wn+lYPOOCKZNm4YtW7ZEt8twSnrIuuKKK3DHHXdgwYIFuPjii4W16/ZpE4C5XGZS6clk9lyrspFcR2lvb0d+v1SkpUUSHsvKjqBHjwhKSkowdar+eeCDBg0CAKxYsQIzZsyQ2lcrJJNTgDivtM+z4hU5FUtH+iUYOPB13ccGDkxBzx7/P/5x223M15NX8qFaFSza29sxoH8KUlISa1VuzxRkZiYerNBCTsmHalXw6Eg9GwMGfq772IABKRh8zNl45plndB8X5ZT0kNWjRw/85S9/sfQaUQK1DGiL+XfmvnTLbdgVy0qRYkFyec+aNWtQWFgYFc4P2HEKkOOVHacA+4NAN70ip+QRFq+CVKv84BRAXskiLE4BVKtUqFZ5iwinpIcsK3Smiz1CYVcqwFgsmVKp8MjlhVheHEHyipUrV2LOnDkYMWIE6uvrkZmZiYULF2Lfvn147733kJKSgvPOOw8DB/p3WXjRTgHuepUMTgHkVbJ7FWanAKpVsiGn9HEzWFGtCheinPJVyGIRf5TPDBkFK14qI6Ei27/X3a4cZ5yGzcQSKVWyiOKE4uJiFBcXJ2w/5phjsGjRIvc7JBgrXjlxCnDulV2nAPLKb4TZqzDUKnIqeJBTR5FRq6yEKlnjP4C8chNRTvkqZCnpimWhtIg+asFTrFhCaTGSy0gsu0KRPISKU6cAuV7ZdQpgeyVrAEheESpUq2Ihpwin+K1WiXIKoFqVzPgqZFnB6dEKIFEsM6l4hVKxKpYVoYIokdM/oIRcRDgFGHvlpFAB5JQe5JV/ccMpgGqVaMgpf0O1ivupviFZnQpsyFK/MKuyWSlWVgsVoC+WnlQ8QnktUrJKkazYdQqwVqxEDADtFiqvnQLIq2TCyYX3Mp0CqFYRwYVqlTuQV84JbMhSMZNN9hFAIFEsK4XKLZGSVZbqjhy83XiC7mN1nUdc7k0w4ClgWq/ccApI9MqoSJFXcvmoeQgqG3MStm9prcbxHvQnCDipVSKcAqhW+Zk9HbkGtare5d4EAz+O/wCqVX7ivabj0KMx8ffxTdseDHbh/QMXsniOXLAGgG4VKqdFKmgy9B7gvADU7OshoCeEXcy88sMAUM8rcsoY8so7qFb5D6pVwcdvtYr3QAU5ZUxYvfJ9yOI9QgGIvVAxHiOp4oUykiloAgHiJBL5HmEV0i1EeiVjAGi1SAXNKzecsvM+5JV9/OAUkLy1ipwKJ37wykqtCpNTAHnlFF+FrEhbRNi0LyCnUPEKZUcmvR+Z7B+SWwKJIihi+Qne0/4A9w5UAGyvZDsFyP0dBc0pgLyyCtUqqlVmkFPWoVoVCzmVSNC88lXISmmTd48CM3gKVbxQZiKJ+AEHUQLR8EglarUhLe3t7ZgzZw4qKytRVlYmvH03iLRFuJ0C3ClUZoM/I69E+ZDsXnnlFBAOr7yqVXYHf1Sr3IFqlX38UqusHKiQXavIqeDXKl+FLMD6nbSdrv7itEiRBHIwEsvK0S4nNDQ0YOLEiZg/f37M9oULF6KyshJZWVk488wzcf7554t7U8GktFkrUiqivDI76kdeuYdZsbJyWo4TwuAVQLWK6IJqlRiCWKvIKTmEqVb5KmSlxP2GjcQCjOXiuUeBKpVWKDsFakT+HqNuWmJz9THC2goKfihSevTs2RN9+/ZN2H7aaafhk08+QW1tLRobG31fuLS45RRg7lXvAfVIXJ+uC3LKGXaLFEBe8eDXWmXkFEBeOYVqlTyoVpFTegTdK1+FLMBcLC28d6e3IhPADlQiZWKhvoeXsul9TpH9sVuoALZUrCNgh9q64/3aYbqPHen4GmVlZViwYEF0W0lJCUpKSgz78NRTT+G+++5Dz549sXnzZsPn+gEZTgH6Az/A2hE/ckocMgaALK/+VXcsKmp7J2zf3pCGA59twKhRo6LbeJwCyCvA+sCPBXklBjdrVVVrLrtWtXfVKu0pS1SrnNUqGv8Z90FLkGvVx4cLkZWSnbB9W2M70tavx7x586LbZNQqX4Ws1Fb9nWSE0fKZLKFUiewc8Tu7178t95H1h9OIEfl7XBGN9w+H0/44OVoByDtiUVJSgqlTp1p6zcGDB9G7d9cAc/bs2Vi1apWMrnmK0apkqlfxRcquV246BbhTwHi8EuG4TK9YRcuMMWPGYNmyZZZfFySvqFbFvr9fnFKf59daZdcpgH8AqCVITtnBbPl0vVrF4xTgfa1yK2i5UatEXFclw6uxY8di8eLFll9nxStfhSwWvCIBqkydMc+1cwqFHZnCimy5zDALWE4KlxGKouDFF1/EN998g88++wxPPPEEFi5ciOnTp+P+++9Ha2srrrrqKinvLQrWYNCKU4C989HjvRLp1Nm9/m2rePnldAw3nPJqMGhGGLxiQbXKW/xcq8gpY2TVKjOnAH/WKr9AtcqZV74KWR0ZqTaKVBesoxPxR6+tHPX7Rc62hG2sO7IbYUcytwaDm6uP8cUUdcuANqZojQOsn3ohgkgkgttvvx233347AGDRokUAgHHjxmHcuHHS3lckPE4Bxkf8AH2vtL8X3sGfKKeChGiveg+o5ypeRk4ZIdMpIHm8klGrWIM/qlXuYccrcsocqlXeQ7UqFhFe+SpkdaaLu8AXiJVJ/X8rRyhECeXXouXG+2n/+Nk9UmhlWVciFpZTgPPZKe3/83rlVZEKk1OAc6+8OGgRJqhWdREmr0TUKj3IKT6oVnURJqcAqlW+C1mNAxKPUJgVKBXeWSq9IxTxuF20/HIaE+9573b6q8qmJ5reUQyr4Sr+iBfBdgowPycdcD7zq8WLgWCQvLLbV96jhSrklXM604Ga062flqRCtco5smsVyymqVXKgWhUcr6hW8eOrkKWkK1HBrF7vAVg7QmEkmQjB/FywRKySY9SG0WfiFYx19IIlEevO68mO1inAu+uoyClnbdj5TPGDQaPz2skrayjpSvT/qVbJw29e8QYsgJyyCtUqd/CbU0C4a5UrIevnP/857r33XvzsZz8zfF5qeqelZWntHPUDuiQSPRXsZ6kAd5Yf1b6X3ufkmcHiXUWQ9wacda2ZzH3e2J7B92Y+hccrM6cAMV7JcArwt1d+cApI9MquUwC/V9/U9ENWdX5iX+pqgMTbigQGqlVHoVoVi+xadag5h7nPm9qtX6/iJ6hWHYVq1VHcqFVfHRyAtPbEa/0OHHFnn0gPWW+++Sa6dUv8gGbYWZbWjaN+8fCIFRSpeI8EmX1mns9rRy7WkQqWXGHGjlcil3rW4sUgMEgDQFFe6eG0aJFTRxFZq8y+c7drFTmlD0/AolrlDKpVwfDKyr6lWsWP1JClKAo2btwYc2NKLfE312s/3OB4CljmxYp+PlKhwiOW0z9U6ut594dduYIqlWyMvOJxCvDmonoWfi5UAH+xEuEVa1/Ef34zpwB9r4xOqUhmr6hWuY/XtUpkwKJapQ/VKnehWuU/pIas5cuX49JLL8WLL76o+3j8zfXyTs5LeM77tcM8vQ+I36UCzMWSsf94BOORC+A7l9bq3dnDjJFXPE55DTllDTtFCyCvrEC1yh38VKu0kFNyoFolH6pV/vZKasjasWMHqqursXHjRjQ0NOCkk05Cfn7iefxm6P3QvfpjDHgvFWAsltm+kbFilV25zLAilpvnHXuJCK9Yv3WvvPKDU4D901SsXGPDwuxouxdOAcnhFdUqeSRDrTI6sk61imqVDKhWJeJHr6SGrFtvvRU7duzAq6++itTUVPTs2VPm21lGxLVFLOzcD4AnkVsVi1coK8TvN5FymU0DG+0j7c0qRdDe3o45c+agsrIy5rQGr/GzVzKLVLI6BXjrlWj86JWfnQLCU6uMBoBUq+zjR6cAf3tFtcoeVKusIX3hi6FDh2LVqlXC2rNz9EL2DRZF3LjQykpVKnbu/+AEWXLxnF/LK5bIo0wNDQ2YOHEi5s+fH7P9ueeew3vvvQcAmDZtGkaOHCnsPXnh9YpnBcWwOmWGlUGgV16FzSnAv15RreLDaq3ym1NA+Lzyq1MA1SoeRN0GQpRTrFksqlVdWPHKV/fJ4oHnvHe/HaEwQkTBEl2s9ATzSi7te9g5gtHWksb8zjraUlBWVoYFCxZEt2nPE+/Zsyf69k1cjzoSieCss85CY2MjjjvuOMt9cpOctFbT53jtFOCeV145BSR6JWMg6IZTAFB3oBuaMhK/s4babGzYtiHmQvf4ay/C4BUPXntFtcrdcKV9DztetTalM7+z9rbUhIUiqFaxn2MG1SprWBn/Af6qVbVV3ZHa1D1he2NdJtavX4958+ZFt8moVYELWYC95SO1WBFM5hF1XrmsijUkjd3nne3GP1QrA0E35NKifT9RU8YlJSWYOnWqpddccskl6NGjByorK3HXXXfFSBpUnDplhbA5BTjzyu1wxXovUU6NGTMGy5Yts/w68ioRP9cqnkGgV04BzmuVkxXMZNUq7QCQB3LKGclWq9w4aOGnWjV27FgsXrzY8uuseBXIkGWGn45S6MFTsKyIZSYVL7IHgk7xyyoy27Ztw5lnnom+ffuiqqrK6+64hl+OqOtht2CJcMpK0bLiFCDfK784BSSnV1SrrOPGgUD1eXYHhH7xKhmdAqhWsaBaJQYrXoUyZBndcToeN6RSsVOwRBYrlmBuy2W1eHkll6IoePHFF/HNN9/gs88+wxNPPIGFCxfinXfewYcffoj9+/fj1ltv9aRvfsZNpwBzr3gHgaIOVgDuDQTjn8/rlZcFi7w6SthrlV2nqFZZg5yyh9e1yu4BC7dqlSyngOSpVaELWUYFy22hVLwuWIB+0XIqF2BNMDtHBb0ULBKJ4Pbbb8ftt98OAFi0aBEA4A9/+INnffICs0GgX7zyu1OAebgC5DvlNeRVcJwC/O8V1SpySiUoXvndKYBqFSDGq8CGLK+O/llJ4VaPsMs4YiGrYAFyLhomvCWIXrldsIBEr5wuaqHihlN+Ou0iGQiiUwDVKsLf8HglI1RRreqCahUfgQtZbh6pcHKOqZFcQS9YgPG+EVWonNw3grBGELxyWrBEnGIhq2ABci/Etwp55ZwgOgWEq1a55RTVKvcIoldGtUrW6YBUq/yBaciqqKjAP/7xD9TV1WHw4MEoKirC6aef7kLXvLlfgdPVUZI1XImUys49I4KGV17ZuSDYqVcynQLkFyynp1oA9rwSXajC7hXVqkSCXKvIKX9AtSoWqlXklRVMQ9batWtx+eWXY+fOnZg3bx7WrFmDffv24Xe/+x0mT54svEOibybGg4jzSr0sWDwXCZuJBfD9gZJxhELmUcCUlhTm9xtpi9hqUwRB8cpu0ZLtFBCOgqXidpFSsetV+oE0ZKYkfseth1NttSeCoDjlhDDWqqA4BUiuVU3sWpXSTrXKDKpVsQTFK9m1KqMqHWkNid9xU507tco0ZHV0dODIkSMYN24cdu3ahV/96ldobW3F8uXLMX/+fEybNk1YZ3ju+M3CqmB2poH1flxBL1iANxeDWr2xZdhwy6vG9gxXB4NWveIpWlYLFiB2VbMwOAWE3yuqVV2ENVwB/vMq7E4BVKtUqFaJI5lqlWnIKikpwWOPPYYZM2YgNzcXffv2RWFhIUaPHo3ly5cL7QzPHb/1kP0jkRGuAHHLsJvdQA7wVq4wXLwoGre8yklrtbRMtBYvBoO8BQsQ55Wd5aIB7wsWeRVLGGuVaKcAqlVGkFOJUK2iWuWEZHfKNGRFIhHcfPPNuOmmm/Duu+/iww8/xCuvvIK8vDxcffXVwjuk/lhlX9zYMqDN9vm3IuTixe7N41S8kIsuAjbHC69kr8bkB6d4ixZvsQL8U7DIK2PCWKt4nVKfq8VKuAK8rVWsfUi1ynuoVsXiZq2y4hRAtcqPcK8umJaWhvHjx2P8+PEy+wOA75zc3gPqpZ6D60a42tleHyOakVAqdsUC5Mll9UhFssjFg5teycaOV6IHgrKcAtz1ys7RP/KqC6pVVKv0IKec4ZZXbpwySLVKHOSVMb5awt3qObnql8v7w/HjEUE3xALEyiXzQkW9/clCbx+IpL29HXPmzEFlZSXKysqkvpcs7DoF8P1mZDgFOPMqzE4B1r2y4hRAXvEQhFol0inA3Cs9p4BgeEW1ynvCUqto/HcUmbVKtlOAGK98FbLsnJPrJ7lEIapYAc7ksnsuLY9YTvedG4I1NDRg4sSJmD9/fsz20tJS9O7dG1999RVuvPFGDB8+XHpf7GL3PHcn90mLx+lAEHB+KpMVpwD/ecVbrMgrd5BRq0Q5BVCt4oVqlX8IS61ySjLUKln7TjQivPJVyFLRfkl2pj1FrBxoJBcg7kfCEkrFrlgqvKeqyCxSgHeFKrUZyNmn/1hKG1BWVoYFCxZEt5WUlKCkpAQA0LNnT/Tt2zfhdZMnT8agQYPw8ssv4+233/Z14VLxm1PxfQLE/uE18sqpU7yE1SkAyD4AZHUmbm+pBTZs2IBRo0ZFt2mdAsgrLVSrjpLstSqtybxWaY+mU63Sh2qVdcLqFADkVAFp2YnbG+uA9evXY968edFtMmqVL0OWipWL9uzemduqXID5D0YrjXoE3qxAqRj9mOyKJXJ1F6+OUpi1aVfCkpISTJ061dJrBg0aBKBrMDljxgxb7+sVbjgFiC9aek7FbzdCtFeiV0zywitZTo0ZMwbLli2z/DryyhiqVdYIY63SDgB5IKfMEX3QwkmtMvttUK3Sx65TY8eOxeLFiy2/zopXvgpZeufk2j1ioT0i1DhA/zkyilY8do/+afHippcqQZn6PbvXv105LQMAFEXBvHnzcOONN6KhoQF9+vRx5X3twDrP3Y5X8UdZ9byy45RVvCpWIgmCV246BQTfK6pVVKt4oFqlj9VaxesU4N9aFQanAO+98nOt8lXIUhExADTCTC6A/eN6v3aY7R+UlR+BV2J5Vah+kbON+wiqHjIEUxQFL774Ir755ht89tlneOKJJ7Bw4UL84Q9/wHfffYctW7Zg4MCBuPvuu4W/twxEFCsj3Cha8QTBKSCYXskqWmHyimoV1SqrUK0yR2St8ipgxRMWpwD/eeXnWhVRFEWR0jsb5Jx4DPLvuCVhu55YvIUqXjAnRUs2XojllVS8CxnYWVln04X3AgD27t2Lk4p+gcKL/0e37X+/+DAa9u9EJBLh6ksQYTkFJHol0ynAG6/8XKxkFSozeJ0Cju4/1SkAuOaaa/Bp5zHI6pM4eqn59nPcNO5U3HbbbbxdDiRUq6hWxeOkVm3ZsgVj/78pGPIL/ftO/fvFh9FYtYurH0GFahXVqnic1qqJEydi9+CfIi27e8LzD3zxAe751YW4/vrrebtsC+kzWatWrUJ5eTna2towbNgwXHnllczndrSlxPzbrliAuVwAW7DN1ce4IpmfpQLEiBUvkiqN+l8j0bSC8d5fJRnwyimAzysvSUanAH6vyCk2VKvYJKNXVKuc4xenAKpVKn6qVcnglPSQNXLkSEyaNAmHDx/GlClTDCWLtEWiYrGE6r6nAwBw5JhU3cdFyaX9EkUWsWQVK/6x+AKmxcmKOm7czdxr3HYK4A9XRhfZklPOMPNK65Jor5IBv9YqswvXySv7UK2SC9Uqdrtu4tdalQxOSQ9Z6iocK1asSFiFI35J0s66BuTsOyqSVVgXDTslqIMQK38cRC9JynMkHbB3PxU9VLnij36ltSjM31OKvw5scUNOeUuyeGVUsHKqOpHTnPibaqrRWdc9IMjwSsTBwJp9PbhXCAuqV8noVHytSm/sNKhVvrmqIw55wAAAEUhJREFUwxJUq7wlGb2Kp9u+DqRnJv6m6g+7U6tcWfhizZo1KCwsjAqnEr8kaffeBUKLFmA8i6V+MaKXuPQamXfZ1sJz2pIWJyvpxEukLVA5+4Depi2HCy+dMkL7PZFX/vDKjlMA0NviqaRhQLZXdgeCVKu68LtTgLFX5NRRqFbJwc7Mm9+9CnKtkh6yVq5ciTlz5mDEiBGor6/HX//6V+ZzU1vtCWZE5r5009MFRcum9yN362iImxdsWl2eVMRRP+1pBHp/kLvtbLD0HkHEa6d4ETkwZP2uk90rUUfSjbxKBqcA772yUqvIKWtQrfIGr53iJUxeuYmXtSooTkkPWcXFxSguLuZ6bkcGWyIr5+DGw1O8AHuC8RaKEfl7fCuZk6V+tW3oYfeIX/zsVFCEcgM3nDJDplOAd6um6WG3L069snOzV6tH/JI1UOkRJK/sQLXqaBt6UK0ST5CcSuZa5RTZtSrITvnyPlnx2A1YZmKJOGrBs7qTXwuWFlUSngJm9xxallSsI35BkSiIODlo4YZXPLjllZMV3Hi9EnWxr9kRP3JKLlSr5EO1KrmQVavcPEXQ77VK64mdWsX7+ZKxVvk6ZMkoWDLE8lNhUvvidFDI8x56GB2dyAQVKT9g57x2t4OVn5wCvPVK76Je1nUeNDPlDVSrrEO1ijBDdK0Ku1OAfK+sOAVQrfJVyOpMt36xsF+OqvuNeBGsCmf2h4Pnjux6RUpPpMj277n6pBw3yPDxhiHduNrhpbGxETNnzsSQIUPQv3//6PKzL7zwAnbv3o3Ozk6cf/75+PGPfyz0fUUjcrEYIHmdApwv7Wu1QKlYPerH6xRg7JVop4BweEW1ShwynQKoVpFTyQnVKmeIcspXIUuFBn/icbIsuh5GNwoUJZSK24NAleXLl2P06NG48sorUVxcHCPZ3/72N1RVVWHmzJl49tlnpfXBKZ0/fE1UqMRj9wgmz6BPxQuvZDoFhMMrFapVYhHtFOCPWkVO8eOnWaqwILtWxd/XLAxeiXLKVyGrM/2oYFYu/g2yXFZvnib6s5q9v97AD+A78mdHJkBfKD2ZeI56pTa1M6ehU1s7UFZWhgULFkS3aZeV3bVrF4qKigAATU1N0efMmjULixYtQm5uLqqqqsw/kIeQU+a47RRgP1DZdQrg84r3SHL23kZ0q030qv5QCzZs2IBRo0ZFt8Uv1UxeBRO/e2XmFODvWpXWwK5VKa2dCfeVolrVBTkl9/3drlW8gYq3VuXsbkRGeiRhe0ZNK9avX4958+ZFt8lwylchS0lXpK4C4zYy7j4t647WPGEKMD6PVuQA0Ewou0eQ4ykpKcHUqVN1HysoKEB1dTUAIDs7O7o9NzcXv/nNb1BRUYFNmzZZej+3Iae8aRNgOwXIP/IH2AtVVm6Sy2LMmDFYtmwZ83Hyyn+EwatkqFXagxVayCn/EUangHDVqrFjx2Lx4sW6j4lyylchi5eafT08F03Wj10mRoM+wDuh7BYpFVlLHl922WWYOXMm9u/fj8mTJ+P666/HwoULsXr1ahw6dAgtLS0Jd7EPKn652WnQvHLqFOCOV3ZujEteOYdqlT2oVlkj2ZwCqFZZRXStknWgwi+1SpRTgQxZQPB+4KIxE8YIPZkAvnsRyB4Aijg6IYqcnByUlpZG/62ekztt2jRP+uMGyeyVE6cAfq/84BRAXrlFMjsFBLtWGYUqqlXeksxeUa2SjyinAhuygoRTIezCEklFVqESffRP5g06iWDilVOAsVe8N00U7ZWdo38EocWvTgHBqVUEEY9fvaJa5Q4UsmzgpTTxmBUnFT2hAPa9CayKZUUqO0Jp9zkFrvDhJ6cAOV752SmAvAojfvLKj7XK6kyVGeRU+PGTUwCfVyynAKpVsglkyLI6s+E3KazCW5y0WC1UgLN7gNhd+YWHIAkVVJLNKcC6V1YLFeDsHiA8TgHklZ+x4hU5FQvVKkKPZKtVIsd/gHe1yslsVZC98lXIirRFuIUIujha7EikxUgowHmxcrtQAfaliv9dRBqb2Z+xJbji8kJO2UemVzzL1IoOVYA9r/R+F5HdVYik6bTVcshOtwIHeWUPqlVHSfhdHGlkfsYI1aoYyKlY3K5Vsg8AAgJr1c69iKRkJ25vrrXTLcv4KmSFDRHysHAilRazO9OrsG76JkMu4KgsRqKF6Q8twYeXTgHueCXLKcD8KDA5lZzI8srvTgFUqwg5UK1yRlhqVaBClp0frdUvW6YYThEplhlWQ5WK1f0dL1G8OEERKajY/b1b+Z6D7hQg1yvRTgGxXpFT7iO7VvnZKYBqFSEeGv+Fr1Ylg1O+ClkpbeJ/5H6WhgdesQBncrEKFSBnEKgiY3lf4igynAKCve/dcgogr8IK1apEqFaxCfp36wbkVCJBcAqw75Wspej9hK9CFnEUK3JZxUgoFZliWSUIIhHBQJZXQXMKIK8IMVCtOgo5RYiCatVRguwVhSwfYlcuHnmM4BELkCNXkCUi/A85RRDiIa8IQizkVLigkJXE8EqlIlIut6RSHLy2sbERM2fOxJAhQ9C/f//oHb/37NmDl156Cd26dcOAAQNw8cUXi+ksEQqseBVEp7qwbxZ5RVglGWqVEYqJb+QUYYdkqFUscxSTEibKKQpZSYbVYuUEr4tTnz590Np2BFUHy9E30j/msX3KLqQigrKyMixYsCC6vaSkBCUlJQCA5cuXY/To0bjyyitRXFwclay0tBQnn3wy6urqcOGFF7r3gQjbHDkmVeppTcnk1b+Wfo2D2IdTMQYpkZTo9jalFZXYhOrqMzFq1Kjodq1TAHlF8JFMThUUFKCupRqHWirQM9In5rFdSgWykYWysjKUlZVFt1OtCidUq8Sx7Y3v0Yx/YzjORCQSiW5vUZrwPbZi+/btzFolyinfhSyeH5ebPxIvEC2ZqP2Vs499NMNrmfTIzMzEt/vLcWL/4YCCaNDap+zC9/gOlXUV6NGjB6ZOnar7+l27dqGoqAgA0NTUFN1eXl6Oq666CoWFhbjjjjvwzDPPyP8wDuD9LYXdK9GI2F9BcwoAtiobMSwyAl9iA05VuoJWm9KKTfgAQzEcDz74oOHrk8mrsDtFtUoMvXr1wpc7NuHUoafjZOXMaNDapVTgIPZhd/N2ZGZmxhys0JJMTgHh90o0yVqrvu38AoUpJ6Mcn2G40hW0WpQmbMI/MQwjcO+99+Lee+/Vfa0op6SHLNaUmx4p4b/fnqvI+EPkJ5l4/iD369cvJmi1oTUmYBlRUFCA6upqAEB29tGb2fXv3x+5ubno1asXampqnH0IG8hwiooWP6L3lZ+cAvi8+reyORq0hitnYDM+xFAMxybln6avTRavyCl+qFYBxx57bEzQqkNNTMAyIlmcAsgrK4S5VvE4FYlE8F3n19GgdZxyCjb/ELA2KusMXyvKqYiimJ2Z6IylS5ciMzMzOuW2cuVK5nO79y7A6eNu1n0smcQScWQwmffXB8tmJDynqqoKJ/YfjlSkYWf9d+jevbtpu/EF4rXXXsPChQuxZcsWLF26FL169cLZZ5+Nc845R9hn4YGcsodTr5J5f+k5BQDDIiOwA+U4BaO4AhZAXoUJqlXW4KlVlZWV+NHQ05CNblwBCyCnwgbVKmuY1SpFUVCYcjL2oBI/xhjTgAWIc0p6yJo9ezaKiopw7rnnYsKECXjjjTeij8WfY/zll1/i1FNPldaX6upq5OfnB65tat9a+3l5eXj99dcTntPS0oKUlBSkpwf7BnfJ4lTQ2w9y3+PbZzkFAEeOHOE6aOF3/OJVmH431L5x+yyvmpqakJ6ejrQ0313RYQm/OAWE63cTpLbdbp/llKIoaGhocL9WKZJZsmSJ8tJLLymKoiiXXHKJ4XNHjhwptS8y2w9y36n9YJEsTgW9/SD33Y32/YZfvAr690rte9u+n/CLU9S+d22HoX0nSD9Mctlll2HmzJnYv38/Jk+eLPvtCCL0kFMEIR7yiiDEQk4RyY70kJWTk4PS0lLZb0MQSQM5RRDiIa8IQizkFJHspJg/xT1Yy5MGof0g953aDy9B3+9Bbj/IfXej/SBDvxtq36/tB5Wg7/cgtx/kvrvRvhOkL3xBEARBEARBEASRTPhqJosgCIIgCIIgCCLoUMiySXt7O2bNmiVlmlJm2wThV2T/7skrItkgpwhCPOQVwYtnN2Fg3Ql869ateOGFFxCJRHD11Vdj+PDhwtp+7rnn8N577wEApk2bhpEjR9ruf0NDAyZOnIj58+fHbBfRf1bbovq/atUqlJeXo62tDcOGDRO6743aF9X/zZs349NPP0VjYyMOHDiAe+65BwCwfv16fPTRRzh8+DBuueUW9O/f31b7QUWmU0bti/peZTpl1L6I/pNT4SXItSrITgHB9oqcYkO1yl77VKsC6JVXa8ez7p8wZcoUpaqqSqmqqlJuuOEGoW0/99xzytNPP608/vjjysGDB233XWX79u3KlClTYraJ6D+rbVH93717t6IoilJbW6tcfvnl0e2i+s5qX+T+r6ioUKZNm6a8+eab0W3FxcVKR0eH8sknnyizZs1y1H4QkemUUfsiv1eZTrHaF9F/ciq8BL1WBdUpRQm+V+SUPlSr7LVPtaqLIHnl2emCu3btit6huampKbp99+7dyMvLQ15eHnbt2iW07UsuuQTXXXcdLrroItx1110Oes9GRP9ZiOr/oEGDAAArVqzAjBkzottF9Z3Vvsj9X1hYiNLSUjz55JPRbY2NjUhJSUF+fj527tzpqP0gItMpo/ZleyXTKUBM/8mp8BLGWhUEp4Dge0VO6UO1yh5Uq7oIkleehayCggJUV1cDALKzs6PbBw8ejAMHDuDAgQMoKCgQ2va2bdsQiUTQt29fVFVVOeg9GxH9ZyGy/2vWrEFhYWFUCEBs3/XaF9X/N954AwDQvXt31NfXR7d369YNnZ2dqK6uxpAhQ+x3PqDIdMqofdleyXQKENd/ciqchLFWBcUpILhekVNsqFbZg2pV8LzybAn3+HNmX3vtNSxcuBDl5eXCz3NX237ooYeQnZ2N/fv344ILLkBRUZHt/iuKgtLSUqxevRqPPvoonnjiCWH9Z7Utqv8rV67EnDlzMGLECNTX1yMzM1NY343aF9X/pUuXYufOnUhJScGQIUPw5ptv4tlnn/XvObkuIdMpo/ZFfa8ynTJqX0T/yanwEuRaFWSngGB7RU6xoVplr32qVcHziu6TRRAEQRAEQRAEIRBawp0gCIIgCIIgCEIgFLIIgiAIgiAIgiAEQiGLIAiCIAiCIAhCIBSyCIIgCIIgCIIgBEIhiyAIgiAIgiAIQiAUsgiCIAiCIAiCIARCIYsgCIIgCIIgCEIgFLICxm233YYPPvjA624QRKggrwhCLOQUQYiHvAoWFLICxNy5c3HCCSegqanJ664QRGggrwhCLOQUQYiHvAoeEUVRFK87QZjzl7/8BWeddRbOOOMMr7tCEKGBvCIIsZBTBCEe8iqY0ExWAKipqUF1dTXJRRACIa8IQizkFEGIh7wKLhSyAsCaNWtw0UUXed0NgggV5BVBiIWcIgjxkFfBhUJWANi7dy9SU1O97gZBhAryiiDEQk4RhHjIq+BCISsAFBcX4+abb8ayZcvQ0tLidXcIIhSQVwQhFnKKIMRDXgUXClkB4MQTT8TLL7+MgwcP4rrrrvO6OwQRCsgrghALOUUQ4iGvgkua1x0g+MjIyEBhYSE6Ozu97gpBhAbyiiDEQk4RhHjIq2BCS7gTBEEQBEEQBEEIhE4XJAiCIAiCIAiCEAiFLIIgCIIgCIIgCIFQyCIIgiAIgiAIghAIhSyCIAiCIAiCIAiBUMgiCIIgCIIgCIIQCIUsgiAIgiAIgiAIgVDIIgiCIAiCIAiCEAiFLIIgCIIgCIIgCIH8P0EvOEXCWqR6AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create the FourierCurrentPotentialField object from the constant offset surface we found in the previous cell\n",
    "surface_current_field_helical = FourierCurrentPotentialField.from_surface(\n",
    "    surf,\n",
    "    I=0,  # this will be overwritten with the `solve_regularized_surface_current` call\n",
    "    # manually setting G to value needed to provide the equilibrium's toroidal flux\n",
    "    G=np.asarray(\n",
    "        [\n",
    "            -eq.compute(\"G\", grid=LinearGrid(rho=np.array(1.0)))[\"G\"][0]\n",
    "            / mu_0\n",
    "            * 2\n",
    "            * np.pi\n",
    "        ]\n",
    "    ),\n",
    "    # set symmetry of the current potential, \"sin\" is usually expected for stellarator-symmetric surfaces and equilibria\n",
    "    sym_Phi=\"sin\",\n",
    ")\n",
    "# we use the same grids from the above cells\n",
    "surface_current_field_helical.change_Phi_resolution(M=8, N=8)\n",
    "\n",
    "# solve_regularized_surface_current method runs the REGCOIL-like algorithm\n",
    "fields_helical, data_helical = solve_regularized_surface_current(\n",
    "    surface_current_field_helical,  # the surface current field whose geometry and Phi resolution will be used\n",
    "    eq=eq,  # the Equilibrium object to minimize Bn on the surface of\n",
    "    source_grid=sgrid,  # source grid\n",
    "    eval_grid=eval_grid,  # evaluation grid\n",
    "    current_helicity=(\n",
    "        1 * surface_current_field_helical.NFP,\n",
    "        -1,\n",
    "    ),  # pair of integers (M_coil, N_coil), determines topology of contours (almost like  QS helicity),\n",
    "    #  M_coil is the number of times the coil transits poloidally before closing back on itself (since it is helical now,\n",
    "    # we want this to be num_turns_per_FP * NFP)  and N_coil is the toroidal analog (if M_coil!=0 and N_coil=0, we have\n",
    "    # modular coils, if both M_coil and N_coil are nonzero, we have helical coils)\n",
    "    # # we pass in an array to perform scan over the regularization parameter (which we call lambda_regularization)\n",
    "    # to see tradeoff between Bn and current complexity\n",
    "    lambda_regularization=lambda_regularization,\n",
    "    # lambda_regularization can also be just a single number in which case no scan is performed\n",
    "    vacuum=True,  # this is a vacuum equilibrium, so no need to calculate the Bn contribution from the plasma currents\n",
    "    # there are two different regularizations available, \"simple\" penalizes the Phi_mn current potential components only,\n",
    "    # which is cheaper than the \"regcoil\" regularization, with the tradeoff that chi^2_K is not guaranteed to monotonically decrease\n",
    "    regularization_type=\"simple\",\n",
    ")\n",
    "surface_current_field_helical = fields_helical[0]\n",
    "plot_regcoil_outputs(surface_current_field_helical, data_helical, eq, vacuum=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f829844-000c-4575-9b40-9e903beaca58",
   "metadata": {},
   "source": [
    "From both of the above calculations, we can see that there is an optimal tradeoff between complexity and normal field error to be roughly $\\lambda_{regularization}=1e-19$, so we will set the `surface_current_field` objects with the corresponding `Phi_mn`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "152747b0-15e5-4a4c-8ba5-00639727ccea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# index 8 corresponds to lambda_regularization=~1e-19\n",
    "surface_current_field.Phi_mn = data[\"Phi_mn\"][8]\n",
    "surface_current_field_helical.Phi_mn = data_helical[\"Phi_mn\"][8]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "632b6318-fef4-4913-85fb-1e139394cd16",
   "metadata": {
    "tags": []
   },
   "source": [
    "## REGCOIL Algorithm with `QuadraticFlux`  and `SurfaceCurrentRegularization` Objective Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63ec8c37-3373-47c5-b43e-e25d1b3d18d8",
   "metadata": {},
   "source": [
    "Alternatively, we can solve a similar problem using the optimization framework of DESC, by using two objectives, a `QuadraticFlux` objective targeting the normal field errors on the plasma surface from the field, and a `SurfaceCurrentRegularization` objective to add the regularization based off of the surface current magnitude. This is the same problem as is solved above, but in a way that could be combined with other optimization objectives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ac85030f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building objective: Quadratic flux\n",
      "Precomputing transforms\n",
      "Building objective: surface-current-regularization\n",
      "Precomputing transforms\n",
      "Building objective: fixed parameters\n",
      "Number of parameters: 312\n",
      "Number of objectives: 3362\n",
      "\n",
      "Starting optimization\n",
      "Using method: lsq-exact\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/dpanici/Research/DESC/desc/optimize/least_squares.py:346: RuntimeWarning:\n",
      "\n",
      "invalid value encountered in scalar divide\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Maximum number of iterations has been exceeded.\n",
      "         Current function value: 6.650e-08\n",
      "         Total delta_x: 3.627e+03\n",
      "         Iterations: 1\n",
      "         Function evaluations: 2\n",
      "         Jacobian evaluations: 2\n",
      "==============================================================================================================\n",
      "                                                                 Start  -->   End\n",
      "Total (sum of squares):                                      1.804e-06  -->   6.650e-08, \n",
      "Maximum absolute Boundary normal field error:                3.898e-05  -->   8.909e-06 (T m^2)\n",
      "Minimum absolute Boundary normal field error:                2.972e-16  -->   8.372e-17 (T m^2)\n",
      "Average absolute Boundary normal field error:                6.034e-06  -->   9.505e-07 (T m^2)\n",
      "Maximum absolute Boundary normal field error:                2.134e-04  -->   4.878e-05 (normalized)\n",
      "Minimum absolute Boundary normal field error:                1.627e-15  -->   4.584e-16 (normalized)\n",
      "Average absolute Boundary normal field error:                3.304e-05  -->   5.205e-06 (normalized)\n",
      "Maximum absolute Surface Current Regularization:             1.270e+06  -->   1.309e+06 A/m\n",
      "Minimum absolute Surface Current Regularization:             4.328e+05  -->   3.839e+05 A/m\n",
      "Average absolute Surface Current Regularization:             6.340e+05  -->   6.366e+05 A/m\n",
      "Maximum absolute Surface Current Regularization:             2.283e-01  -->   2.353e-01 (normalized)\n",
      "Minimum absolute Surface Current Regularization:             7.778e-02  -->   6.899e-02 (normalized)\n",
      "Average absolute Surface Current Regularization:             1.139e-01  -->   1.144e-01 (normalized)\n",
      "Fixed parameters error:                                      0.000e+00  -->   0.000e+00 (~)\n",
      "==============================================================================================================\n"
     ]
    }
   ],
   "source": [
    "# form the constraints for the problem, we only want the Phi_mn to vary so we will fix all other parameters of FourierCurrentPotentialField\n",
    "constraints = (  # now fix all but Phi_mn\n",
    "    FixParameters(\n",
    "        surface_current_field,\n",
    "        params={\"I\": True, \"G\": True, \"R_lmn\": True, \"Z_lmn\": True},\n",
    "    ),\n",
    ")\n",
    "# we form the QuadraticFlux part of the objective function\n",
    "obj_flux = QuadraticFlux(\n",
    "    field=surface_current_field,  # the field to be optimized\n",
    "    eq=eq,  # the equilibrium upon which the quadratic flux is being evaluated\n",
    "    eval_grid=eval_grid,\n",
    "    field_grid=sgrid,\n",
    "    vacuum=True,\n",
    ")\n",
    "# the regularization cost based off of the surface current magnitude\n",
    "obj_regularization = SurfaceCurrentRegularization(\n",
    "    surface_current_field=surface_current_field,\n",
    "    source_grid=sgrid,\n",
    "    weight=np.sqrt(data[\"lambda_regularization\"][8]),\n",
    ")  # we will set it to the sqrt of optimal weight from above,\n",
    "# since DESC will square the weight when making the overall cost fxn\n",
    "\n",
    "optimizer = Optimizer(\"lsq-exact\")\n",
    "\n",
    "objective = ObjectiveFunction((obj_flux, obj_regularization))\n",
    "(surface_current_field,), result = optimizer.optimize(\n",
    "    surface_current_field,\n",
    "    objective,\n",
    "    constraints,\n",
    "    verbose=1,\n",
    "    ftol=0,\n",
    "    gtol=0,\n",
    "    xtol=1e-16,\n",
    "    # because it is a linear least-squares problem, it is exactly solvable in 1 iteration\n",
    "    maxiter=1,\n",
    "    # we must make sure that the trust region of the optimization algorithm is\n",
    "    # large enough to allow the entire problem to be solved in one step, so set the\n",
    "    # trust radius to be infinite\n",
    "    options={\n",
    "        \"initial_trust_radius\": np.inf,\n",
    "        # we also will use the Cholesky factorization to solve\n",
    "        # since the matrices involved are positive-definite\n",
    "        \"tr_method\": \"cho\",\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9699fa91",
   "metadata": {},
   "outputs": [
    {
     "data": {
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BaSlKY9Kg6ngsSkZVeBPXgXa7jW3btmH9+vVYu3YtLrvsMgDAY489hrvvvhuEEFx++eU4++yzsX37dszOzuLgwYP4yEc+kqvNrl278PTTT6PVauEnfuIn8OpXvxrve9/7cMYZZ+D73/8+vvCFLwDAwHXKQC0XES5+dP8AIBbnuENCIkG5JERQxC1+FH6EpBiJYYgygaBC31MKVF0QNBYfCB/veKxLIpLXrbRjVNi9ezcuuOACXHPNNbjrrruC92+66Sa8//3vxzXXXIObbroJ+/btw8GDB3HllVfiwIED2L9/f6425557Lg4dOoRHH30U3/nOd7B27Vrceeed2LVrF970pjfhNa95zcB1ykI5SWqAZCRkOQqknRtHOHEJH+PK1edVGxeaAHmlqRSCyoImp8UL1dRTtY7FiioFjDrZtHBBt0rdwwXFvffei40bNwbvbdq0CZs2bQIA7Nu3D69//esBAPPz80Gb/fv3Y/Xq1UEb+fXq1auxf//+XG0+//nPY/v27Vi+fDkeffRRTE1NYWpqCv/yL/+Cc889N/ZeZaEWSXGEnBWiZZ9zZ4GISE+hdhmZiP3PZbLKQ1SlFoUsotIEpTEmVGGbUW0M5nUdryyesmbJ6dJLL8WNN94Y+9m6detw+PBhAMDU1FTw/hlnnIG5ubmgjfx6bm5u4L2kNi+88AJWrlwJAPj93/993H///QCAr33ta7jhhhti71UWapEUpHoskvcKKbIzSiCoKDklqfKCVPsxZJWE3GXlXTI4AYq60tcYfKyhAaSPIeXGV8m8kWUSTwPx8y/JBj7OarwbNmzAtm3bcOjQIVxxxRW46qqrsGvXLmzduhW33norCCHYunUr1q1bh9NOOw233347ZmdnMTs7m6vNb//2b+OTn/wker0e3vnOdwIQBLZy5UoYhlhEo9cpC8I5V2bYtc5YhzN+u/8wPkGEpJgcafKj8AdLXqKK3nOgHzlzeMVft9zXrclJowjKqvsmchwlzY2MeVrFXMyjwZHXnSeu/x0AwJ49e/DZuy/Dez+ytlQfbrr+Wey44SGcd955pc6fJKglSfHIj+sScAMgTCIKOT4gLVJcvqwRrucSSEnG8Ludur2BNDlplEGZLOMTO5aSEstG4hzjzAdliCozAXXMpnicUtWkQy2SAkCd/v859QmqT1jCcOVJNTl3UAjOHSSrwkQlXXsY43SUrIoYayd2MdFQFgt6TMWQ1bBE5SMpIJgwEpGmxKFRHGqR1IAkBUmSCt4FpzzZmSFuwPnvuWFS4pSXI6oKMe58ghoLF3mlqUkYW/JzlO6vZKvKTVSyY1NKhpugbwOOWv2/0c8Yp+jxckuwq1j0UJ1QiqQIB6gdfo9LBEWY/zpGqgKCAZgYRe5/jr5hsyxRhaLWa8qhNwmLh4bayCIqVcdYWp+HqokW8R5OJaooDyQQVhS+FCVLT/5rjeJQiqSA8I8qS1E8JE0FrVO973hASv41PXKSyCpKVMMgTVet6mKgsfCRRFQqjsm8KvQBoorYpeI2nKH57UlVpVV/FODoa2jiVX59ctIkVR5qkVSMui+xaYK0y+VyH5E2nHKACdIiLgFMDgS2rbBTxcB1hyQwDY1xIkpUk0xQ0fZ5n0VeT2SbNknQwCTGMfqE6H3GPbqi8LU0HAABl0hJO06Uh1okFUFaLFN/VyIGhU8i3OD9geUPPjkwl4lUST5hwSUgBpe8BnlmwK+GhkY1yENMUekmqq0IpKqU8vHynPZt2uLaCElVyJKm/M9CbUi/H8FawsEpCdap8Jol4GC4jBOLBcqSFHGlHZLbf48BIP4OJiopEQiCipATMThAOcDEYBSDhwCGdw1bEBUiHoSEpasTcz+LgrtWDY26UEVKpjSiGNYGHN6ERuzUwTqQ7IAVDWUJ3o9serlnQ9dS1HBQkqR8ggp+XAN9ovLtVNJf0UZyDY+QE/GJhnJwRsRrRsBdEgjnUaKSXdVVx1Cu8JPxiBqKo8pcgXntQrINOM2ZIuoOHvnUv5r3LwkTVUTlJ68JA3k+KRGKP5+o3L6TF4m1qWvkgVokJemYBwyNUpwToeIQ8VP9H58bXIjtvuQEgFDxmvgEZXBwlwitMeXgNk0lqsSulgiWrAqVLgiK2yk0qoM8ZofykItgZAQV4103IFVFHSgSVPf9+Et/wzuoNQk5Uhg8vPmN6zuYuA7gqRARSFP+vWQwTmGXdEHnqmUQrhFKkhQnCNWdlMmKkL40lbU7kQnKMBhgAK5LA8Lini6ae7eWxfW4LOqy/jr2fnnyeiVgEY05jRQUdQYoc+2412XuN9Ixm+QOLscuSbYp33NXRtQmNOht59mSPGkq1iNywE1d1tQQoaHx/9oEMMRrTvUELwulSIoTgFmel4z3u8vBcIAkZVHpYKTvDhoDw2Cg3kCi1AVjBC4EWYnLUmGv8txKiROfNilKVP7OdBi3c5XIqcrdtcZwqPq3yBpnRchx5GM2TU3mVaz2VX9Fvjd5bZGTBchEFThZhe4pOWJRDmqJCwUbX4msGKhUVFuhyT5BUIqk4JEUYQB3439S4g5KUwAEcZgRcd2TokzThWkwOK4/EmlAVpwRcCZEeQKIwUUQkqbSHCji1H7DSE91VPgsYmAeG1HlyFy90BEn6YyrtHrcfesmp9JjP0JUAAJpKslbV84AwaW1pE8m3vmmZ5cCCZET0CcofxPMGIFLxRrDGQGzKTgQIao+HE7RYeW8+5xFZOBSiqS4RFLEHZSmfAxIUy4Ay9MhW5ItinJYliAoSjkaHjHBIyxvPMGBGEDcpoHx05emgnuySDqmSIqVMs8ael3jAp3lwjtWqNQXBVEFUZUhl1LnZIzhUuMuuhbH3cOPWfKIKim4NuiHFFwbtRWRiEQFA7E6Gp+gLMsFpZ4+hgKm6YIx6hEWhyuuEhCVRnEoRVKIkBRx0XeYiO583LA0RVwgsEF6tiixwxEEZVFxsu1d0CcsxmhAaDA4wHhfmop2L4WoiiAupVKAIar15r5/hgvvyHbw0fsvYmmqtjRAI0KeTVZW9vBMJN1DDq71HSpi5m8cohtgaos1yPtUaHSI5MnnrRUyQTWssPGLMXFRx6XoAiGi0igOBUlKDGTikZXRjTTxJChuStJUgUXboi5sJoiKUg5KGQyjr/YTH0CMrDgHioqIKhZ5x3CM0VhDIw6jsB8V0QIMTVRJkIiKw7uHpPIDSGhDG5fw1UfIUYsi8NIL3pOe1zQYLOrCkFSBrqdebHqrq2Mw2B1TT9eSUIukKAc3uXCecIjI2Rfj6ecnofXVgcwCqC3cxrlNwCkFpxwupTDN8Ej0CSoJgoDSJ1Ffxx0OBAwh585SQ2PSUSTnXXodpuJlM0KBtcG5kXglKQOEuE9a/zyBzJOmCBPSFEzPthVj3zIoh2n0LzoVkay6hlhmncizOTB0xokcUIukCAdvMXBOwey+NEW45Inj9geZv7uhNgKCgkHALF8yIp5+mAVqPh+++o8ZfZVfatciA1uOrYgtG1JUwioz5uKssTmhlF1qVFhk6kSVPEdzl6QpUBQ0LrC2T1YSUfltIokABu4tvUch7FU8sHt7m2bqJQHwtDDUIyh/PTEpQ4O6MCmDw8Sk9qWs3oQkB1ANSpEUoQCarkdQYudCbTHZfAMndaXdkk9SpkdSFGAWASRpihXIwxfYpfxyIW7yzisaBBjKBQbp/CFKzS94pORa01g4KLMhCqSqpCSvCQjIyv/XU9tH8+kNOEwkqP+oA3CDgHAeUvn5sKiLKVMsGD45NaiLabMHh1OYlMEMHCs0SZWBUiRFCYfRdOEyAuYSUJt4qjwIFzy5rcvBQEABUAvgthh4NCJNuS6F41KY6MdK+bseIGHgGGJAEocMuK/G27+83Z9EVkC6zSq0U4zzYMo7sYeQphYlJlCaUj7QFsmqukzVeeSU3KU6UrI/cJcEavvA20+aU0kEFY2J9POEEhfiGgTCqUpaEwzPa1gmpyZ1MGN20WUmTCLeBwDTCKv2GAjskuUV2CKKuVKMpBiaTRvzNgVvMbgOAXU8onIA0g2ThMFEfixmkUDaorYQyWF60pTFwBgFjPBK7ovgNkPgPMHs5C1bNKg4XNo+LFUNoMjCGJtlGSOVOEbqSTYOaWoCiWrSUJSc5PcH6jv50lTkd0tKTxS8z8JqP98Bwlf5cYmc4hJa+6uBb0pgXko1H6bBYBphgpoxu1hidNGkTvC3ScUOu0FTjGEaiaidpJ566im8//3vx9q1a3HxxRfjXe96V2Jbg3LMNHtwHAM9h4KbFMwkoJHNRnTHY3TE/7khvAE5JeAOAaMUzKawqQFKWSBNCecJzybl2a1cP9BXJhmDA3ZCNgmWTFQAEm1VcpaKWL170QW7oBSltC1qVMShCaoW5LY7ZXz9pfNiRjeIFgsqHnD/ut6mltoxEpWfxBq+FsSzTcmmBD9EhRE4LoXjGnAYHSCgVrTEOICG0SjxUBojkaRe/epX48wzz8SP/diPpbYzwNG0HJimC9tk4JZUJ0qySxEWHoxWm8Pf9/RtQ0IPxgwDjHI4hriQ7wjqO1I4Lk21W6V5+yURVahNQvBvaBL6RJNX916AmIqS0jBSVOlccNo2NVHVc4dB4vNEpaToZi7JNhWjufCdoIQc5f21pEv0EGQnh92PuwTCGhNOhQexb0owOgQABbM4uCk0NC4j6DED0+iTkpCixM7ZIi5a1IYVY/ByOUW3ZMYJpjNOVIfZ2Vls27YNU1NT+JVf+RU8+OCDwWc7d+7Ezp07g9f20TamTBsNy0XXYnAsBmZRoc6LUd1SB6C2P0gZqEvQtw8BNiUghIJRQwyhVv9cn6wYG/yxRYqkNFfZGG++aJs41V90IkY9maLkE5P1OQvDSEpVEZT/eqEtsHVjEqrnDoPY55HHq5zJHOUkKj+ptI8QUVFhFghlJ0/w9AP679OeR1i+2s8m4JbY3NrMCLz4AEFQIVLybMbLzfliD6IRoHaS+vd//3eceeaZIITAccLeD5s2bcKmTZuC16f96CqsaHQw71jodC24lgFu9uMbZPgEZdhxI5+At4VXjgMhVTEgICpKeeCHwTznCh6VpuQaMlLWi4E7FZGmgIHktOLzBLfbERBTcI0KCUp+P/d1taovhHETVNL9y6jhMskp6TMpM0ogTSHenkgkRwq5LA8AIW1Rr4QGo4HaT2Qnj1wnmjnd18z4YS5UxHC6LoFjG2BNQVRCmhKwiIsWEZJViwjCsrkRK01pZKN2knr22Wdx55134mUvexk2bNiQ2tYAw8pGG0d6LbSaNnpdE8wSwb394DoeEJQ5z0B7XkrIBgVA4dkoA3Fe/KVgFAFRWS0HeXRr/q6rSEYLIN6RIouoRJt8MSJV25XqICj583EvuJMEFb6r1Lx3BaWbwgRV4n6y9OSX5YkNdjU4YHnOD740ZfSlJNmDOOqSLqQoj6Q6FKwhruPbpXxYxEWT2lhqCMnJ5ibA+mSlURy1k9Qv/uIv4hd/8RdztTUIw4zZxYpGB8e7LbQ9tR+zKLjRJx1qs4CgjHkxsohLAZhgrqc3Dtp73n6GSJsfJqpByDn8OOsbWxGj/ktSC8uSVFYJen8Sx5FV3RhH4tKxYkKkqCpQ1vkgz5iIG7O5rxNXcy0mUD5oG5Wm0volzTPD9+aVasgxCLWf76HH0M9U45uUfHKiLu978hrheE1qA7RHwBwKxzHgMhJS+SXBl658iKKHJV3QJ27ylYdaLuhgWGJ0MW32MGX10Gpa6FkWYHAwS7ii+8QDAMRlIIyBdhwQJh6FeGmP3AYRxEbgSWJenIOXp8+xjXDxw1BHvNIdkg67r92OR786cPLzhQJ+Y/TvoevVMAZV2KVrqAtVxkdUZV6EcOXacX1I9Z4YB7eECwXhfZUfN/prS9TjzzrJ4bRIvy8GhK28YcA2TZw0G2g3LbSdBuyGgS6zgoq7cimOOI+/utBut7Ft2zasX78ea9euxWWXXQYAeOyxx3D33XeDEILLL78cZ599NrZv347Z2VkcPHgQH/nIR3K1efbZZ/GVr3wFMzMzOO200/C2t70Nl156KVasWIHZ2Vl8/OMfxxe/+EV8+9vfBgBs3rwZr3vd60o9i1IuIpRwtKiNGbOLZY0umqYDo+mCmVy4gJqAa3kqMVMatR5RmSd6MOYdGB0G6ySD2eEweoDZBsx5Ispv2ATcpuCuV+9FLjVtSGoDrxQ9D/4Kh4q+dBY+gGSCGggIlgMHXdI/5DY8/cjTJu4cDY04VD0+ht1kheYHvDHsEsE3GZoGka6of5imKw7LBbUYiMXExtfkwlNP2vhGYfQ4jB6H2eGwTnIYHcA8KUJd6DwF6xrodi3M2w20HQsnnSZsbqDDrAGCski89qYO7N69GxdccAGuueYa3HXXXcH7N910E97//vfjmmuuwU033YR9+/bh4MGDuPLKK3HgwAHs378/V5sdO3ZgamoKx44dC8jnZS97Gd7whjcErwkh+Jmf+Rn8+I//OH7oh36o9LMoJUkRAEuMjnDhtLpY0uziuNWC02RgltHf7Ri+vw5AHAbSdQCDAozCdBiII5wtmNXPt8UsgJlSNgqHgpjxxiZCRZ1fTnngukqI38OwRBWbDinumjFqv4Fzo5MvRb2hSUejKkziWAonlBWISlGmET+/bZcE0hRvcDBbxGJygrDqzwWIp/YjLg+ym3ODwOiI9YSbBlyL4dh8E1NWDyfdhiAoboXUexZxBtR9wxQ9dEFx7733YuPGjcF7siPavn378PrXvx4AMD/f9yzcv38/Vq9eHbSRX69evRr79+/P1ebxxx/HO9/5Tpx55pn48Ic/jNtvvx033ngjli9fjquvvhqve93r8Gu/9mtYunQpnn76adxwww347Gc/W+pZlSIpCg6LuFhidPEimcG0aaNhOehYzHOgEGTjNgjMjnSi6wKuC+IagEFhAGANCsskYCaF0SBgJjx1IfUkMwJQEtJjB/EV/u7N4H3X1aD0mUSQLN41PglJ9qlUnbyPCbanaOcJdTHy36VATFw0xpBwQO6un+gV6M9dSllAToNp0EwwRkEt1rdPdWjYecK/NxNOWobNQ+XlqSOSUptW34zgStLUCbuJE24TJ9wWWl5Ovxa10SI2llF50Roel156KW688cbYz9atW4fDhw8DAKampoL3zzjjDMzNzQVt5Ndzc3MD7yW1Wbt2LZYtW4YVK1bgpZdewrFjx3D48GEsX74cy5cvx0svvYRDhw7hJ37iJ3DKKafg+eefL/2cSpEUAccKo40TRgurGifRdhpYNtXByXYTbpPBbRqBp59wjKAgDgN813bHd6JowjQpuEFhWkSI9L63n69Ppt6At9hAbIX//0BmktOreD1F0MJ7J2ci26R2MnklJqv1McGEpaEO6iaovJsTOZg2C8SNbPQYCQJ6aeSvT05+CrSm2Ve32RB1n7jFwRwuOWb59wGMLgftcRAmJ6bl3oaXwjS9lGzzFG7TwLH5JpY2O0LlZxk4zlpYSjuwiIPGCFV9ALBhwwZs27YNhw4dwhVXXIGrrroKu3btwtatW3HrrbeCEIKtW7di3bp1OO2003D77bdjdnYWs7OzudvccccdWLFiBbZu3Yput4vf//3fx0UXXQTTNHHOOefg05/+NP7u7/4Ohw4dwgc+8IHSz0I458qseK/8sSn84V/8CA47y/CcvQIHuitwoL0CTx9diaMvTYO82EBzjqL5EtA8wtE85qLxUg/mkXmh8gOEVGUYYEtbcJY04Cy1YE9TdJdR2EsBe4k4nCUuYHHAYoBXaVOWqnyHCu4IuxVhwm5EbK80tTuo8otDXvKSEZW2EqW1MZNVXruDlqLGg0zX7RpDD3LdK4enHyCNf4N7KjkuihtaTNiRTQZqMRiGsD/5lXJ9kmpafYLo2ia6jomebcK2DTgnLNC2AfMEhTkPWCeEDds6yWGdZLBOuqBdF9yggR3cnjHQW0bRXU5gLwF6ywFnmQtjZRdrVpzAuqVHcPbSg1hqdLDaPI6lxjyW0Xm0iIM3vOL/AgD27NmDD//ZZvz81nOLfZEevvGxR3Dnx+/DeeedV+r8SYJSkpSPNeYxdLgwPJ5sNHFsqomebeBk10CvR0TlXpeAMAras0AcDoP2AMZAHLEV4p4kJSOUTNIVuyhZZeC7rfouqwDAGQ9ZorhnuA0kL5ek7gQ55YWJKqoWzJPhQkNDRp0eymWuHQSuy2QlzaE0yGo/XwUPhO1SnBEgZo4YlMOS6ztFTECuZQgTgMXBu8IsEFX9iT6wYI5b8B2m+qExzKJwWyaONZs40mzhUHcZWlO2sE3x0Xn1LUQoRVJyhdt11guwuYETbhPtVgPzdgPdJRZcm8K2DRGrYFMYXQ7CLHCTwGjbgFe7hdM+QRGXe3WoJOmHe7anrGKHnhOFUPuRoDw1XE+i8nTsIX121MZUAVFNKrQUtbCQGbydUR4+i6zyqP6I66neDX8Ok4GM6H5JdzlLef/D/n97lkgYwBs8SL8W5Av1VX+RXKHGvAOLihAX5oW5uE2CXtNAp9nAkeYUDplLMWN2g+wTParUUjtRUPqbe5n1ErpMuHW2pyx0HBNHbQrHJqCOyC5BXerpigk4JTA6DojDwi7q8A2h/SMNhsFC0hSAvrefuFo//T8QkqoAxBJWElElOk3EtBu6+m/FyIpfWVQENWHlP6qsURUNso2+jiOtRLJKIKqk8Z/GmX7FXL/eUwgeUXUsFz3LAO/QwN4th5WE+uBwEMbE+kKJ55glnLHcFuA2KZymiePNFo41u3ixN4MlRjdINqtRDkqTVIvYWG0ex/FmCyddEYfQsw20HQrbsQK1H7WpGFimBW7QIAtFlKgAT9Xnx1qwZAknjqhgSFKVR1TEJX0DcYz6Im1nmFbxF5gMaWqxZO/OhQkjqiKI+43zlHiPtosS1oBzRRZRoV/AMJgbfkC+JCH5ar5p08a0VDk3VDzVQqjiAnM8D2JTOGaF7u1w0J4D0hObYMMzJzS8EBe3SeC2CFjTQG/axEvz05g2RcznUqODjmkNOE/ooof5oBxJyT9kizhoWINeMYcAtAH0YIEw4dTALAp+kntkJaQqZ4oGgy4acCvbpZBXFUcH3Wdj1RsJbrZ51X5JRDWwm1RkQSxd/2ehIJrJewIcWoqEBQxDUGnnBbkq46Qq5PD68xPOeuTkuhSmGX9Cw+ivIyYT9qkeY+H6dTYBMwlYQ0hUbpOAnyQBQdF2D+jZgOOAmhQGFc4UTQBOy4R13JOmTljoNB0cbbZwuLMUS4wuVpvHB+KkNPJBOZLy0SIOltIOlnr/92F6ujqfqLqwAIgAXWYQEUNlefpiE0EGdWYQxMbNeTsweScWFEAEguzonJFUMkvaEQLhySYTVdIklIlIlqRUJCgfSktOoySOgvepOoas6s1ClQSVdB2ZrGQ7bxwGpCnwwC4F+KV3kpmtYThoGA56rgmTMcxbFlpNW2Q0tylch8DtEqG+64iNrjFPQZgowkp6AFwG0u4GJMWpBavN4LYozDbAWhTdtoUTzSbajQ5OuE0cZy20mCapMlCWpJbSDpb6Kc3RwVmN5wdyXz3HKOZdgi5MYZMiXtyC5NXnS1DMQpAg0ocfHMhdAmLGkxOAwdx+eTEEUWVeN4I63Y0nGqNI1juhRRuzCLIwQRVJsiaZiKJklQYxb3iIqOBtIDkjXqVtEmSHSIJPVm3HQtc00Ws66NgUzCYiHtMUSQOYReBOmaLaAqWAVzwVjgMy3xNqP0rQOOGp/BoEbpPCblhotxo42mzhqD2FOXvpQB8cTtFl5ZZgnWB2jOhxEw3iYCl1sNT7HVqGjZZUo0XGcwDm0ULPEK6kftqkaC7HIDltggo4JDGVROykTyCq0HlJfUqSomLum6dvwCIjq1ETRwkpqkpUeb3cBFU2+2dMQU9uDHrNyvA3dlGi4q5Q73OXwKUUjkvRNAGb9XMcmQneUtOmjXnLQtdxYDcNODb13MkJ3C7gTBGYHZ+oHBB/A+wyoNsFNSgMk8KdMmF0Ocx5AusE4LYoem0Lx5otHGlM4USzOdIEswsJSpGU7Yk5LSIIajltAgC63IFFXS96+7mB854D0LEa6BHLi10QCSADJwlEVWierQccYP3BHyWoMhJU7ij7Em7pSfcr037Bk5XiBCWjCpVfWYKKu3ftBJV0HX+upnwfcq02n6h8BygeSFMUNjPQ9LwkZHtU09POmJ5LusNpIE05TQpmU7CmIaSipkho7bQoaI+DNUzhOGFQQVIA0J4X9qmWCXOewm1yuPMEZpugN2WiM23haK+FF3szFX1Ziw9KkZTjReMtpR20iAGLRMQH7mKNYcO2nkeHWegyE22ngfmZBo4A6DACGyYAGlTLpb3+gE91pIkr2eHf1lcnSJkn0lDGPjVwjRy2qGF2zjqfnoaMwmOpDEHFEZ08l7wYRFnt588Xwkgwb6JEJVIlIZijLGFONakDk7oBUVnEhcMMTJs2nKYgNqfloDttwHEIjC6BMw0YtvAgpj0ThDVgdB2R2cYDaXdhTDdgzptwpgiMjidNNSl6rYaQplpTwX2DZ+MEDtP1pLKgFEkxTnHYWYZTjePo8C6WALC5iy530OFeqhMQWMTFUmMeq60TONKYxpFmC+2ehV7TBOv08/sZXW+BD0ghEv/gihpTQWHEmDL1ZeB7u5UlqroJSr6GJiqNLFTlKBGLNHterMov2oiAOKKPvgOF61L0bAOOKcq691wTptkLneVXyV1htYP3bIkweoyg5xpeZhsCwcpmENZC2z2RN9QDpxS0x/rSVIvAnCdw2wZOTjXxwtR0OKBYIzeUIimHUxxnLRxhU1jFu4ArBpDtJUKxQNAiRmCfanq1p6ZNG9MNGx3LEpV8W6JWFGHhDV/frdv76yIoI02yvPdkKSo4PzKBEtQmwfspRBV7zyRbVcW2hwVLVIp5QEYRu5kZA8a+Kc+ZHglAkJFcJitCAeoQMErBATDKwSyKjmNiyqLoMQPTMddqUgddZmKF1Q45MDBG4C6jcN0meh5xCS9h6m1ymzApFTYqhwGsnzzAsDmMLofREeU8aJfC7Ro4Nt+SsrFrFIFSJOVyijl7KV4wl2KNcQItI2xobHnqP4twz7migyVGFysa8zjWa8I0m7CbLliXhtzN4zQTxPWkqqg0lYA0gspaZEILUQ5HCv+zEDIW3KTdbh6PqQVpp1KcoHxU8Z2PhWREOab8GNI1X7YvhwjKi5VyDYDYCCpv27aBhuVg3m4IdR6naErX91VvPlGtapwEADiMwnENOC5FZzmBwxqiBJC4W5BujVMC8yQB7blBBorgUbvcS9sGGB0C1ha2qZdoHFVqZEEpkrIZxQv2DI40pkVcAXGxNJLOpElMtIgjDmpjqdEJpKmZZg/drgXX4mCt8CyKze7AiAjG5ZI0lQSPoPKQU6zhOYWoov1LI6iibsFZudSifQQWGFlpTA4Mkc8lapeS52XsPKYAtYmoEWULIuEWQ8820TSFm7lJWeDh5xNUi9roMEu8ZsCqxkk4kXxI8y7x/AP7RAV4iWVNAqPtBhluAHjJrn2JisDoAm6PoNceDNIcxgXdTSolvAChFEkxTnHUnsJLzgyeN5d6Luc9LKUMFgiapN/dFrGxlM5jieFJU815HO21YFku3KYLZhPAI6qo2g/w1AaGZIT1ja+JnesTVNlFPImogBSnjgwCynXfAkQFqKGC0lADtdqjhoQsWRE3rPZjtsg203VMNC1HSEiSNOW7g0eJ6tTmcQBAjxlwPU9B4ZAFcKNPVMxLFmBaIocf7bqhfpnzHPa0ICnaoWBtE7biKc5UhVIk5TKC5+eXYLm1AivNk1hGRdlji3RheWusFaj8+oNC9pqhvuQlEU4S+YRUfgYXZTgSMCxBBX1JIaoBRBN3DuPNV4KoAE1WGikoqvIbElF1X+DtR72DEXAXAOPgNoVjG3BMF44rOVAQhhl0Y6/fpI5wW28OftaBSPvnq/4IA6g3n6grAnpF9gnRntocZocLb78uwHoEbF6p5XZioNS3xhjBkfkpHG4sxUvNGbxgLEWPiy7atAcbHVggOM4oDrtLcNhZhpecGXSZiZ5retcoNmtCgYEpa3iwWKd5IuVELqKqeAdbhKBkaKlKfQyTOzEIz0g4n7gkXZpK2thFp2HFqalktV84RpYAhidNdQ10qYW2wWAabuBd16ROaJPrY7k5jw6zsMToxhMVI3Bcoe4jkmbFcSjMyBdBXVF23ugBRke4o0e/Yw4yoF7MC64TzI4JnOBkt4EjvRYOdFfAIi5Wm0L87vAOOryDFnFx2J3BC+5SzDlL0WEWTnheOI4r6cxSpaKBdwLbVCIqDg4dIKqMewwM8BGqYTRRqY8iRBX3W6adn0lUcZDnX43Sli9V+UTFKUB6njOUQcFMik7XAvWyogNAw2jApK4gowhCWSEiRMUYQQ+Ay03YjHrrCAkIy7DD3xFxfecJwGilO2ZpJEMtkmIEnXlRNOxwYyma1IHNDXS45VXrFU4Tz7tLcdhZiuNuCyfcJhxmwGHU0yHHu5JH3VZ9BKoDmr07Sa39VMVOUWH9vyYq9TFsfa8sosqLAULz1YIF5wgnwk2B02xVtV8nTmj+veKFNgGjBhyDo0MtnPAy2PhOFLJENSBd+cTqEZXjZbEAgK6v+veISgQaU3CDw+z0FxnCRL+pI4hKk1Q5qEVSHGBdA8fnW5hrTofSmQCAbZiwiIPDzjKccFvoMjM4eswIBeMlIYizkAJ8xftC7Zd9vueVR3n/GiVLu0/awj9p/V2MkH+fMnbFKsquhDNGRG6ek6jibKjyvAX6DhOifVjtx+2w2s+mHCdpQ1Tr9Sr1NqkTBPO2qIi7DMAAy3ADyco3JwAiEbXLCGyvnh3hvrQJABTUFpXARVFWDmqLXKJRwc1lNHTdItAZJ8YEwgB0DPSaomiYX02zy0x0mAXbMmARFy85MzjqTMHmBhxmoO004Hi2KDmTOeAHymbvwrz/FehrTJ2nlAmYVPgtz8Jf5aIxLDRRTQ7K/k7D2rjkcwNVYREnC4q+ulAugpihwg9SKFFBWJx6aj8YcCmHYzC0e1Zgn4qq/XxJyuZGn7AYsMToYmWjHWyEe7aB+al+xnRnyifIfuom6nIQl3v17gYJSiM/lCIpcID2CFjXQKdr4bjZAhDexbSojaPOFE64TVFW3mmgxwzM2w30bEMkmZTKSg+mHBqui/LOLaly7qIvAqgx8chyqJDbZJ07QFRp0lQ0NIPAC1HiwoMuRmsRLhIq26f67bknTVHKcYI2YXkl5X21X4dZQZXcbkzhOdMrQ29RFw3LRcfgopqvxUXMFEVslQVqcxCLSKpIjaJQiqQI92IKGkKaaltxVQoBhxk46TZwwm7CYSKLcccx4TiGlw5JiOEDVXQrIqhRI470UlUqqFZ6ikJLU4sHw/zOMlkNOF9kqf3kZLOG8L7lDKlhIsF9PaLiBoCOKGDo26d63j1P0GZI7WcRFyfcVqzXn6/yaxgOTMoEwVkuutQUxEQBZvrSG4Ly8z4xGbYgMo1yUIqk4A2uQJqKISm/qmbbsYQE5VgiDsI24NiGcJoI9MTJtypqRxoXQeVBnYSkoZEL0TGYREBDxFZxygecD5LmZUiiitinekBgn5LVfoBwQ48jKj8Ws0FdGJ5ERgwObnKv0KpYU5hBYERs28T1PP0i13Q5CXIDFoW7iFQ1apEUhO6WWUKass3B7jWoi7ZjibT6rogKt5kBxzFE8TOXhHN7VUAuKhCUaipELU1ppIZl+J/5acdIQbUfEEhTQbC9J03J8F/Heu56xCA0KMLQxWCAAVL8VCuUMglIJiqTMJiUYcrq4RhtgphMZF/3VX3BX+JVN4BnlwIMG3AXUWxTlVCKpHzpJ5Cm5k30mEi970gOET4x+XVjHFdEl3MnWdUnIypFpWWkyOyzZ5eS9eJFoRd8jbGiTPhEzPyK9Xb1rl1ok5WSiSXqCCXPXTkThexo4TstBI4UBoVLDXSMfvyUr/Y74fmcJxFVw7NlBXYpCjBLSFOByi9ql3JEP6MSlkY+qJWlkCPIHkx6BKRDga4Bt2ug27VwbL6Jds/Cya5wkujZJjpdC92uFUhR8uCWnSZ8cTwwpNL+4X8+0J3IObFd9hwnyhJUEVRBZIRrQtSAmCfyfMnY2A2cJ8FXZyW9Ds1J//9s8LMQfNKkwuYqHCg4eIMLtZ9vC7IQkmTkPgB9N3WxrhAQhwA2AboG7I5YP050mzjSa+Gk24DDDJxwm4H3cCaiqcsCiar/XH4O2SjnMRCRU7DEwRVQq7z00ks49dRTQ+99/OMfx/bt2wEAzz//PN75znfizjvvHOo+SklSAIKU/NQmYkB6WY0Z5XAMA4zRQILy3c39stGiJhRC9qhoDamAlGLISfbUG/AKjCOxAgkj0+xGdcexJGUY8KHAeNcYJcZkwyw8dgMCENoK7qcianCgJ94HBFFRO+J5GyFKX8LhtkhrxMDALQrbNtC1TMw7Fo50p4AmYLK+6s8v5XHSaQal5h1pDQqqGdD+GiGSz/ralfF81+12G9u2bcP69euxdu1aXHbZZQCAxx57DHfffTcIIbj88stx9tlnY/v27ZidncXBgwfxkY98JFcbAPizP/sznHXWWcE95+bm8G//9m94zWteAwCYn5/Hm970pqGfRS1JCn2CIcyTplwCYlNwR6j0bNsQ6j/P3ZzZVEhRNhW664QdoSw5RQlKGGQjOyLvvbjP/M+ret46zvElprxt6+iDxgJDioovDolODXmlKR8xUlVUogq0HjErWn/jK1R/1CagDgFsUZDQl6baHlE5nOKk08QJt3/43sS+PRyA0NxIkO8v3N8JSlbiGBq7d+/GBRdcgGuuuQZ33XVX8P5NN92E97///bjmmmtw0003Yd++fTh48CCuvPJKHDhwAPv378/V5rnnnsPSpUsxMzMTXPvP/uzP8F//638NXr/85S+HYQyvYlKLpLyx6Kc4IcwTzxkA20u/Hzk4I4EtypeiBi5rDJKTeI+H1HXRI3QNuW2U0Er+DsO696Ydo+yLxiLAuD1IDS6ONKKSpJnonPQlK1/155sT/GzpPdsIEVXbaeCk0wwOn6AABEURZYQ0Mr5E5RFUUjokxkXV4DKHywnuvfdenH/++cGxc+fO4Nr79u3DmjVrAAiJxsf+/fuxevVqrF69Gvv27QteA8Dq1auxf//+XG2+9KUv4b/8l/8ycL9Wq5XjxywGJdV9/t9wjRgIaUkuABjRdWe5YsuSU/Q9AAOJXuXPkkq9V05Q8jOMOJdfXnWMJrQFjIqzlZdFbJA88/tGAq8/X/XHvFo+fqxS1NuPuACRUif5gb7E2+x2qQXTGHQRdAyRusi3BdlSnanYfkuSXVqGjCpw6aWX4sYbb4z9bN26dTh8+DAAYGpqKnj/jDPOwNzcXNBGfj03NzfwXlKbQ4cO4Qtf+AIOHDiA2267DcuXL8exY8dw//3348knn8Sjjz6K8847r5LnVI6kAEnd50lT3IUoDQ0KMMlu5P9HKusuQ7iBhglnwNEhbkJGgw6l9nkr6FYCyY13VFDN1V2jBqTVMcuZCaIwIl5+ae7oSar0IA2Z929AVJGMFJxhIAxFtlP7Qbbc9mpAdQ0wytGzB5fDnpe82k+J5Lj9HKF8YG3pzx0h2YUdt0aJDRs2YNu2bTh06BCuuOIKXHXVVdi1axe2bt2KW2+9FYQQbN26FevWrcNpp52G22+/HbOzs5idnc3V5g//8A+xd+9eEEKwatUq/Pqv/zq63S5uuOEGUEqxYsUKPPvss/j2t78NSine+MY34vTTTy/1LIRzPv5tk4fpU9fhrP+yFawBuE1hEBWHCJrjVkpXPaMq4QgmU5xOPI6c4hblAWkhzwSNmeC5rp3n+mPa3Q5kulBmtGhUgjIboRy2qdhF2SchfyGXbE3RPqTZfIkXsC/PedIjnq2p70Th//UJipmiX8wSf90m4ExzsCYDpl3QpotG00HDcjDdsDFl9YL8oX7SAJeJar+driVKwrdN0HkKsy2KGxodYfcyuoDZ4SEbGTMI/unzvwMA2LNnD67aeT1+5H0XJX/PKfjBH3wT3/jUn1cmragMtSQpEhaXB5AjWp0TgEhJKQcQmSjBeZEEsKEkmRwDqsCk60aRa1Eft74/BZqUFjjKbH5ipCpZ05A272QUDu7170V5rDTlp03ys6X7Xn7B/TgAT+0HSF7EpnC8YpTDpuHOm4a4QNc2g9hMx6XCs5iFNThRBw7XGjQbyGAcQWLsotBFD8cETvo/MuCLzDkmUR7db4zklFTIzX/ft3GlFigcVsLJS1CK2Ao0NAAkqv/yqLVklXISUSUlb84L3ybEDYBEErsO2L0dIlzTLeEt7BfsoJTD8lR6XccMnCUYowOJrIP7ern7SCSj26jVfQsJSpEUEHEVT5Kmsq7hS1Mx7wMRckrayLAwWQ3U5qmCMBSWoDQ0MjGEnSqWqKJtIkTlz2ke2iAKaYpwgLuSQ0RCmiQYAORAXz/Y1/HCWeA5EwOglIEZ/aw2cozmgPu5L0V5J/v/HzaptYZqJBWRpIZBnC1oQAfuI64wm98mhqwqUYFpgtJYCMhSg6dgwEmngNpPdopKbuOp/QhCEg/hAIccP0XgGhCZKCCIihtcVFVgvvREYpMHxHkUc0MQplzxI249cjnNVag1Drro4bhA+mlOxF8vBsLkgijSdiUemSS5oecmKP+9tNx/wxKVJiiNhYYhvf+qUvvJEkzULhWYEUjfJd0PcwmkKQhpjNkUDgAih6vIUlRMRpqo8JbqCayRG0qRFCd9D5xCBAUE1TxDUk+WSi6Pyk6uEloFyk7kEdijtCefRhJylaJPI6qEUh6h62UQVSgu0vfwk/sYUfPJdinfh3lgjAdZ1L1QFwLAi8eU7xf6v5QSiXtu9bDJAFERac3SJFUeSpGUr+5jloguF44UPNZFNQR/AEmEEktQMtGVWPRlSW2kmctrJKhFpDXQKInC+fbyJqqVzwFC4SMcPFGiylLzARJBSSq/JPh2KfjqOS/DDY+RooLXEacJX/0oE1W/TEg8SXFG4Ljl2EuFBLOjglIkxUkCQcUE+YUGqqwXl2xJIdRgwCxMVGWkqJoIKs8Y1yVEFjdi7bp5xkRR1V9S7akYoho4JzaIP0JQEVd0IJ40fMcK7l2f2xSwvBtESCpUYYEgCCj2iYqzvunC75NGOShFUiDIRVDR18GAkSdH2qAYhyt3TXao3MHCCW01NOIw9FjJIKpY0ojLShEhKgCF5pKs8ssF16s55RHOgO3JTxSQcC+P4sAsEooZqyoh9WKEWiQFgJnx5BR1KQ/piGVPn2HTtxRErp1lxXaorAVEk5FGncgtYSfMxbhMMIFzgx+m621WB4hKRlIqNJcEkossUQ22le7vp2DzSRL+/Wg+gvHXK3jkRPmgqk/HOZaCWiQlxkQmQfnvRWMVciPLxVW+bigHWMyEq2vclSSoqqFVfosT/m9eRFIfQIHSHgMVrl0ST1RApiNTuEac9zeO0OTs6RHNiyC6fDYw7pGxn5lmIBtEQpYbBgI3h30tDtoFfZzIQVCVIIvgBrIolySoCu1Qi2hcaiiC0huUHAQVXfxzEVVcH9PCRaTsNQOfSRV9fY/iwpCdtXwPyKjWh/h90bu9MhiJOe8XfuEX8J3vfCe7IekXGSQGD//YlPePomAlDr9LMSVAai3BnpApQxPUCLBY4tcSCoNWdt0c106STvz3A0LzJRT052L0SIKcucZPKjtwZMRe5vqeaJiA/PkqQmpECA23coTRaMSidknqm9/8Zqh6Yx4E5JRBSLEqvxx669RrJgzKkai8cmZR16gBk0RQw+SNlJ8zxg18qOulIJToNSpBRYJe+5/zAYkqD4RERKQacEntYqSouO8hzjwQm2kiJewl5jPGic44kQO1khTnHI888gjOP//8fCeQnARF+YDXTSwy7EmZ3RmldK4wQS14u9QkEFRcH4smHU57ziLEV/D7yktQ8us+WYWJSkZWgHGQmZ2FXwMJ6j8pI8UAsr7rJCkpwTtZIz9qFUB3796NX//1X0/8fOfOnaHyx+7xk16vKvhBcxBU1SXYY5Fn0mtd9fhQJ0EVUH9lXifrHnn6UfZe8nMMQVBpn8VV0hXvk5DqL9QmZp7GFTcNJa32spRHpaioi3pslptJ2MwsQNQqST311FM4fPgwHnnkEZw8eRKvetWrsGbNmuDzTZs2YdOmTcHr5ivOCEdyR8kqKWZBSlMi2ok/MjlV6uRQlFTi4juyEmjq+bCwUFZFV4Rc5GsPs6BWsBinkVPZ68mxVLHwvOz84N2+9BJZN0ISlUdQkgdeqoND0e8mJQch5yTIql4Yi2hfW6sk9YEPfABvfvObQSmFYRhYvnx5rvMCO5MfTBcJquOuV8vFy0QMID9BRXeFZXaIZXfHBu8fKVhoBCUbkuVjQaOKXXeZBbEup4gEBDWZ3PB7RRGnfku8TtrzGZIEJUlVYWcJ4ZzFrBSCKroypjhf+f3Nk85JYxC1O0684hWvwP3335+7fVwyyaR2AGJjmnyCGiAn+fwCEykxWn0YA3bSvRbYOE57nrHbusahvslrR1JYtZQY61Sx9BRcN+qangUpiLjfnkdeIzF+qRRBJb2vPfqGhnpxUugTUGbNmDzSk/xemn5cuufAZ5FU/7H9qICoFhNBLWgoTDAyipSSqIOA4nLq5UbWnIuo2OOyPsjjs3QMU5b3sJzRXaMU1CIpTkLSSSJBpUhPwCBBZQURZn0WBBZnkdUQWKwL+tilqSgq2nCUvkfNi1keKSjwiqtJMiqDWGkqz2+Vw2s2V6XuGsAYgpL0hc9dRAuGWiQlI22yJnjuxan30txf+9fo/1/XfakGi2gOhTFmh4UqUCc5RVMNpRFi1MFh6HvHfL11SFBBOR//2lXWo1uEUIukOEDs7GKFqSmKSkz0IsQU23bInfeiXdA1Fi2SyCqtbel7JcyvgXUmj1ATQziJIS6KbDomHWqRFLzYB4dkLtyxKqIhnCOSoIPwikOTroaMNNtTlt15wG27yIayRnKKS5VWFMIFvZy6byCJ7QKGWiTF0VfT+e9lSSmJu5jI67rcPxUKxI2bKFUQhlI2I5VRV5ydooiL/YkicAOPkEtIxZ5QzLTsBjE3OQFDE9TA3NDSU+VQi6QQs+PygvNKnVsxVHWYSCORtJILGjGYZAIZcS21LKSq8BJsUXWo9qoiJyDbg7jfLsf1NXJBKZIiPF7iEYXLhhy8kfOLqBiAmAmnwGJWRMLxq51q1IQqpKhhSMa/bsY1sty+5XGetdCmzcm8G7q89xu5Q1Ne6amEB7EPnXEiH5QiqTSkxTFFETegy+zY6nCSiKKspFNGBaciUS0qVWLePI5FiSp63RxElQejdkWvgojixviAtx1QyOOuDoLSyA/lSGoYd/A86oXSqFlyyksgwy7qRYmqTjJcVARVFzLy2FWBokG3iXOtypx48nmR6yZt/GLJKgGZjhEFCGocqr92u41t27Zh/fr1WLt2LS677DIAwGOPPYa7774bhBBcfvnlOPvss7F9+3bMzs7i4MGD+MhHPpKrzY4dO7By5Ur84Ac/wPve9z60Wi38yZ/8CV75ylfiwIED+PjHP45nn30WX/nKVzAzM4PTTjsNb3vb20o9i9JJO+J+3KRdSurEyJkzr5LzhkDWol3Voj4KcphIAqrzdy469qpoV2W6LiPfRi9R+5Cnr2XnWkK+wqRqBknFE+MKKQ5cQ7pXZqVhdzwEBYgKFBdccAGuueYa3HXXXcH7N910E97//vfjmmuuwU033YR9+/bh4MGDuPLKK3HgwAHs378/V5srrrgC733ve/ELv/AL+Ju/+Ruccsop+N3f/V1s2rQJf/d3fwcA2LFjB6ampnDs2DG87nWvK/0sSpMUkO+HHsjHlTbgo58nHXH3IelHFai9dIh0nyra1Hn/kUIVgspzTpHFvOLnKqytKPvsZUgrR0mePIhtHyHCPASVBc4JXJeWOhgnuPfee0Oljnbu3Blce9++fUHFifn5+eD9/fv3Y/Xq1Vi9ejX27dsXvAaA1atXY//+/bnazM7OAgD+4R/+Ae9617uwdOlSLFu2DP/6r/+KSy65BADw+OOP49xzz8Vv/MZv4L/9t/+W/YUkQDl1X1HEJYwMfV4i3ko1u01dqNtGFWsfUI2cNAojzlZVhKCSxlzi2CiiusxIlVR4/OXw3BuXDerSSy/FjTfeGPvZunXrcPjwYQDA1NRU8P4ZZ5yBubm5oI38em5ubuC9pDacc3z2s5/F+973Ppw8eRKrVq3CY489hn/+53/G29/+djiOg7Vr12LZsmVYsWIFXnrppdLPqSRJJe3WZGeHJHIquuguFkKKwyie3ScqpclJAU/N3BhFX3PWpara4y51nBQlKvm8osgZe+kjLs4rj/NWndiwYQO2bduGQ4cO4YorrsBVV12FXbt2YevWrbj11ltBCMHWrVuxbt06nHbaabj99tsxOzuL2dnZXG0+8IEP4D/+4z/wr//6rzj99NPx7ne/G+9617vw0z/90/jSl76Ee+65B1u3bsUdd9yBFStWYOvWraWfhXDOlZmhrTPW4YzfDj9MasR5QjnpcPv4x6sjZYnSC3EE2rEB1ZZaSRpPw1w77poVLrqFrl22floEpTLJDNOHijAswfjk9cT1vwMA2LNnDzbc9DGsuuKXS13v8P/7VXznli/gvPPOG65jEwClJClOcqZBSSGnvAkjiySWrIzQht3haVQPlX+HUQbn5nXCqLk/KkrdiRJUgSQDOr1aeShFUkB+99XUdPtRyO4hJTISy9cuRVhx59RQMDEvFrOKc6So+retY6wUvaZiWS18lA0ELiohlVFx6soKw0EtkiIoXFq9cLLItM9zEJh/v9xkldVuFPWLJGiCkqCyFDUKlH3+momqqDSVRTS124JKfo+ck8wK5MknL56JrBZJId93nyg1DetQT1Ft7ZeKPJKqwiIa1xp1QxGJamzZMErY2zTKQS2SIsVsRSGUIagShJRYOybabQUmsIwyE0hF+8CiQt1jqO7NUYFsENHPY681BmSRUyGzg0YpqEVSwCDZpBHJmIkp+Fzhcal3dyNAHQtokh2z6CI47s1SQp8LzZkRP0Meu3iqs5byKRImC2qRFIlEmLukuh88g5zKOESotuuToclpgpE2fooQlQLjEMDI7a4+KnNYyENONL59KjjASwYCqxM4VD/UIikgXFY66ccuOvkSCGoY1/JRSk/jJByt8tOoBGW9WQvO0co96bIIKoGctMt5dVCOpHwkVesEkDsivkpyyr1QVxT06ENLRIsMecZPHslkFFJUGeeJiiXBOkkpdB/i3y9GetLkVCuUJSkfiXmxCpJTHDEpISFogtLwoYp6Li+GKa/hI278V/U9VKBizKXeG+biuuhhJpQlqbrIKbcdqc70Mxn3UI2cqlT5yc+mxCahTtRpi0m7dpFxOCZ7Uej+VaIm1/C8XnuEES1NVQwlSSqWoJIGcxliyqtSiaLKyTwhBDUsFtrz1IaymUyqyjs4aV6DUeTI4xl8FnWLz3gW7VY+XihHUrkJqgJyKlSnKqkfZbBIBn0WQWmnjAowbkkogmHz3BVGBXFLhUkoQ9WXV5riHDrjRA4oR1Ih1EBOWbVgQg4bQ5SyT8QisUHlfZaJJ6oq0l4Nu/mR71FhGfYqQdyKiaooORWxIVUQmzmuGlMLEWqSVM3klDaA5M/iCKvQRCsw6RcjQWmgGum8KnLJS1Ql+1wJUZWRjHRw7URDLZLiREyAnN55wWdx4zZFeiqLvBnaC19XL+oaZVG19FOjRFWKoPKQUtr8qZqgomsThXr2uQUGtUgKALELkpGMcZR6VsgeoAI04Y4ISeOu7sSvJa+di6CqcBnP6yaeph4tkmh6iITUhA+xHi2iZUctkuLliCgJoyzXXBZVLupx390oSUMTVAwmcRNTRTiGhEyCKlvqoqiTRNznJUi9jqreGslQjqSq2gXGEZRqUlTdBCW/v1AJxH+uiXa+KIpRE5+C0lPmeC6TSy8DeclpUY3FEUAtkkK90g+nPDdRZZaxnwCCirapk6gWKgnWjqI7+Tzjboy1nnLbnYaYP3FjbahYpozvq1S2mhymBzBS/ndaRBNOPZLKQSJZMQjyRIkOjNScgDHXrpqcgntXRBqFKpjWTFRlsKB3nXnHiiIFBEeGIedQ3DgmLgkTFUNfmkpLbpvhSVw6Y01wfkJ7jdxQiqSqWLCipBK3swvcyVPIri5yCvVjSNIo832VuacKklrafZVEHSq5ItdUlfhKZFqJ+40LExVQKKVaLnIqQEw6bqo8lCIpHwPST4QwkiK686oa6op1KoOyi/swi3ORe9ZJAsoSzLAoM2aySGUSHTBkDBHEnhTwnZuoCmCYlGqFyYmjvHfghA+HIlCOpGJ/6BxBgKHPhw1ILDmhyi66qpCGRgWowzZS9pqqSFMV5KlMI6rotWSiyWOryrQ5FSQmIJ6ctOqvHJQjqSSkZXwoTFBF2mE0KX7yEFWVBFXH/RYl2cpEUIW0U/X1qkLeGm5J50goqxZOm19JXqxF3MXzSE1ZRKPJqXpMDEnJROSr+tLIadgFeFz2laT7jnpR12q+Ahi3/alOJMUW+UgigTH1Xx5beeZwHltTEZKJ8yD21ylNVuWgXFYrbsQfgBgAWQTFSb7B6bdLOsYFwuOPqlHXM2b1dcERVB0YQUmYXOfldXePtlWEYJPmUuK8cgddwssQi79OyQcQowXiQtIrdajxFYfw1a9+Fa9//euD188//zze+c534s477xzqukpJUpwUcy+PklPyOaJd3ZHiuWInFJjAdZNwkkSo4sTSiMEwxJaBUXuzZmJI1/EsW3keT+I60G63sW3bNqxfvx5r167FZZddBgB47LHHcPfdd4MQgssvvxxnn302tm/fjtnZWRw8eBAf+chHSrf58R//cczMzAR9mJ+fx5ve9Kahn0VJSSruPVmiiu7coiWeo0fSZyODvEOL2a2NEqOSEjUhTSgU2EQVgj+fyh4REDeboAbWo5xta6upFYPdu3fjggsuwDXXXIO77roreP+mm27C+9//flxzzTW46aabsG/fPhw8eBBXXnklDhw4gP3795dqAwBnnXVWqA8vf/nLYRjDP3SmJPXkk0/i3nvvxbFjx3DGGWfg9a9/PX78x3986BvHwhszebONR8mpKHKXhM5BKkXiKEKfKbgoVEUwskSlSWuMyOPlp+A4lFF4fhW5dhGbU9zaVPK7IxhuXtx7773YuHFj8HrTpk3YtGkTAGDfvn2B6m1+fj5os3//fqxevTpoI79evXo19u/fX6pNncgkqf/1v/4X3v72t+OZZ57BZz/7WTz44IM4ePAgfud3fgdXXHFF9T0qoTKoWyoqpS7M23aEKkAdbKsxiaiKoIZ1XMgK8B+ldy4AXHrppbjxxhtjP1u3bh0OHz4MAJiamgreP+OMMzA3Nxe0kV/Pzc0NvJe3TZ3IJCnXdXHixAlcfPHF2LdvH9797nej1+th9+7d+NM//VNs3ry50g4VXUirJKiyNqtJWIiriEnRWKBQXIoaQIUJb/MQVxo55ckj6K8ro9wkbtiwAdu2bcOhQ4dwxRVX4KqrrsKuXbuwdetW3HrrrSCEYOvWrVi3bh1OO+003H777ZidncXs7GypNgDw9a9/Hc8++ywefPBBvPWtb8Wzzz6Lb3/726CU4o1vfCNOP/30Us9COOepI5Rzjj/+4z/GAw88gGXLluGqq67CmWeeiWazid27d+O6664rdeM4NF++Dqd/6FrRsYyBOCw5VeVEUckur25JcMQZLTQUhEKu4kXGY51qvtj7pSUOSLGDDyChJtVTv/lBAMCePXuw4cYbsepX31aqn4fvvhvf2fl5nHfeeaXOnyRkSlKEEFx77bX4rd/6LezZswd/93d/hwceeACrV6/G5ZdfXn2PvB+3DhVe1d59o5pAoWj6gl/LuBPKaptUQYzSVjnmWKY6srcMi9IEFeeCppxb2mQitwu6aZp405veVIlLYSJIwg8+RPVLIJmclFg4C6ZgyktYw5KTiiq/RUV4VdoqVUiNFIPYlEZ5wjiKoMIUabnIadJUpxMApeKkAAz+yC6J35HkIK5SdWCGQYWLQd6AZB8qFjesqy8Llqyi46dOpxqFFtPcv+OQ6ZiGaZ9KUFEHihHHRC10qEdSFWGYVPsBygz2IQvYDZPXTAUk9WNYyUyV56sNSeNGkQDwQqi4/HzoOiUS8A6rVhw21CX5wkN4HE7YkBgGtZPUo48+in/8x39Eu93G3Nwcfu/3fi/fiRnFyOKQS3Iq60ZeZQG7ihNv1oWixFK25MKw1514ZI2XYYhq1Kq+uPtVSbQVZ7Uo1Dbp3pHnk0sJ6TpSw6N20955552Hiy++GI8//jguuuii7BPiIsEZYgkqms8q9Fk0N1fkun5kedyRu19JSBrMKfnQFvxC7KFwiMEi+V5qQZ5g8km+XwRxeTfjMtCkZaVJvHZWm+j6w4gmqIowEnXfmWeeiR07duDd7343fumXfil4f+fOndi5c2fw2j1+MnxiAjElIUtqyitay+0GvH3y7gprKAUyDuSVfup4BpW/l8owTqeGUTtn1KS6zBXcn7QdZ8nnBPFNSX1Oqvwb1z7u++HlJS2yKCaHQO2S1F//9V8DAJYsWYLjx4+HPtu0aRMeeeSR4DCWLBEfxEhOcdISkJDROEFqCl57u5ykI3zfmIeqaGEZd8b1oB9DLhx1SEdVtUk7d+zffR0ZTMq2L4uiuSgr7lcqQVHpSEJKm9I5PnPkCNTIj9olqcOHD+OTn/wkKKV4z3vek32CRE6FXcdTJKc8xciCui9e20CvHFdwcch4llyLcELkepXIpepIkabqKGA3SvJQ0dV+aBQljVHbuyqQqDIzPaQRU1I9LP+cIUNeElHXdRc4aiep3/iN3yjUvpTbeEI24yqRlbcr93WynAsmzZNLoxxUykpShjSG2TDVofIrcs0qN3tDEA/R3n25oJYLelRt56PAoCr6oydFmKfGOiwggiIuKX3fsavLKsBESFGjGBdFNANjVl/VOu4K2sE16odyJFV2ApSqoJmToNLK1Cdeu6idZowSVJ5JGFWLqUBQE0Ewk4YsqWrYBXvE9s9CGJKgKs+WoQFANZJC9Wq6YZGrsNmQYy8vQXGDF/NuRPWTum5yUoH8lMI4Ni91LaYFn2XcY6Eq00P/epE3OEBKqgsX0wZNKZIiBVwy60o9UlTNN+6J5CNp0CaVci8DVZ510WAR2SdVG1syQRU1QcRttHXMVHkoRVJAvtLNwKAHXhaKkFoeJwnVJlUaqiQqjYqQlZlkoRFUwUTKI0eCV3GZ2Ms8nsQa+aEcSVWBPCq61IBdHyMip7zOC+M24FZJdqOQ/LLuP/bFsWQuuonDCLKsDATeymq0jEDe6DUATU4qQS2SiuhoeUaocaqDQ9atChATUP+ClhndnnZujlOqWpSruM5i0qdnwieqKompaKLjOjHi+SQTTSxhpbQHqiOnpLbRe5W1SWkXdEVAWDZR+SjjgZd5zTHM8zqlpWEIRp68KkghVRCdMmS50CQnHzUQVJEA8KE88yomp9JkpKE2SaVBlqLyENS4F9W6oMxCmxOjlPo0xohRS1BFyKtExprgvRQHiCTJSRPUcJgokopT0SURVJWTIU0Fl3e3pkqMURkCiJvUmkg0EqGQZFhVtpos77xStiemM07kgVokRQbVe1Fi8iWousmpquDapAU+uM8EL/RFiWrSpL6JRlV2qUkiHB8lnjtZCsoZEpNg4yZufpOFRjzUIikkSEtJDhLRss0J42lc2RzyqrYAdclKE8siRE3zpbYxPiQZl41rSgtrCUJkCjhzacRDKZLiJPmHT4tdylVPZsQouriPUn1WtSt5nmupSHYLMgP6sFBg7sQhrx0p17WyvO5SCKrKuEwCnXEiD5QiKSBj55EhOalATsOgDHnUudBWdV0VJ5SqkmulKKLyU3julCGoMraeLOkpjni0pFQ/1CIpglyTJbOWTBzqrhUjodCkitaMUkT9V4RY0shVRYIaBSZKSlOYoBJRUXmesmq9qkr3aGRDLZJCucU5twRVMUEVSkCZtOurqABckQVxlGpFDcWh+OI6bOmeLASFTSWyKmNyCNosBgl9xFDL74SgUMnmQuWdRxSrMK5Bmve+o656qyJU7ddCRyWblhSC4kb/KApOeXAkXTeAwQOC4iR8iPY88QjBc0EvcywEF/QnnngCr3nNazLbKSdJ+RiFfSlOEqoth94IUtX4k2QUJTvqvLYmkRFhHEU2R+RoU4SoomrCPCnT5GeIXTPU2v4HOHjwIG655RYsX74cF154IS666KLgs4ceegh79+7F0aNHsWXLFpx66qn46Ec/irPOOgu2bWPz5s252txwww0488wz8cgjj2Dbtm1Ys2bNQBsAuOeee3D66adn9lm9r5KmHAVAXJJ5VHneqJFGpvKuzn+tIaAlSQ/jLLLJk0ko7bO6IEtgsQQVIzn1z/U6m7VWSdcYJ3bt2oUNGzbguuuuw8033xz67Oabb8b111+PDRs24LbbbsPDDz+MVatW4eqrr8aePXtg23auNps3b8ZVV12FV73qVfjud78b2+Z73/sezj33XBCSPUnUIinC+z+mfPjISViqEMkAKhikstogS+qLTqhJwKT1Nw4L4RlkRNVZVcEnJPmoBWlrSp5zPETJiRt8cD2Ku1fC/fwEs6UODtx77704//zzg2Pnzp2h63//+9/HJZdcEjqefPJJrFmzBoZh4MSJE6H27XYblFKsWbMGzzzzDPbt24c1a9YAAGZmZvDCCy/kajM7OwvHcfD000/jTW96U2ybr3/963jrW9+a/TtAQXVfnCEz+JFl8qEoVO55lI4FqY4MJYkqiZD898dFzJO0IMd6hU6SF15VKDAGB8I8VP2+is6rkt8Bj26aE65XV1FWGZdeeiluvPHGxM/POecc3HfffaH3tm/fjsOHD2P9+vVYsmRJ6LOZmRkwxoLP161bh7179wIATp48iVNOOSVXm16vh1tvvRW/+7u/i0OHDg208Qnyc5/7HA4cOICvfOUreMc73pH4HGpJUh5i3UKji3BMLZi4tPtldmhV7OziDKpFzg29zuOWX7EqIU+fq2pTpm1RjJJM/XFTePy4pH/UiYLZwaMZ8MeKApIKMDgP046k84L3YhwfAqiqvYlg48aN+OpXv4odO3Zgy5YtAID3vOc9AIBrr70WO3bswO7du7Fx40ZceOGFePHFF7Fr1y5cfPHFsCwrV5t3vetd+Od//md8+MMfxl/8xV8MtFmzZg0+9alP4cwzzwQhBKtWrUrtM+Gcj3vYBWi+4gyc/t+uHfwgB0GFXpdxWx1h5dAiGZtL1ZeqcMIU6WuZ65S5ZpmFUuk4rjoLHy6m6r+obzOSOA+j2/yM7/Sp914HANizZw/e8eEbcdrP/2qp/hz4xt3433fuxHnnnVfq/EmCcuq+ARQgqKyaMLnvU0GAbZoaru5dPTd4ZUQVp96po/8LRYoqjBrj58ayux9DpeGqNnc+onMn9VoMYaKquoClhsIkFTfYEwiqTMEyH7HePAkDLct9Nm4wR98rQh6pkyPBJhc9N2/F37R+yURVdsFPs2UoTSILGVUvqHUSbgxyk1OWUSMyj4ZWnWuiqhRqkRRP0cfnIShZqsqZIkVuFyIs/1oxUtUwOQPltqnEkEVQ8t8cZJWnX1lENSxGJZVNDLI2LKNY7EYlsSXMp7LInINFrO1xbYsE/0elKWAsEuVChVoklYQhCSrOEaN275scAz9JJTjpiXI1FEBRVXfZMVdUpVhRGrBUjMMdLI6ooohqeHTRw1xQj6RyupUHBJUhPUUJqlAm47KTKWmwyu9LzzkUKS2y0tRKODosRBSVdMrau+pQ+1V9zZQ5laqud/UGsw6oRVI8fRCk2Z7KSE+J0eXDIO8uLsOmpKExFmRJOmN2tS6tHh4iLVmR2EvieDbgxazGrhhqkRRy7pQzHCNKEVTFQba5JnrZ8iF5VAsTgDrc2CcGeRbMce3KJyTmJxZp80L+PgvavoPXOcNbSPR+CSg7pif4FyoMtUiKI/cEKVLyOZWgqlwI/AmSdc1oBo1hyEpDIwpVSaYGW1Qu9Vpcm7gsNhEkElTeWlaBZ212FzWSoRZJIdnbLs3AmKdwWfR6WVV+gYK7nBySDad8MN1T2QVFE9RkI+u3X2i2jbqdJWpGlg08fQ1aYL/liKEUSUVJIY/nS96SzwFBSdmMQ+1iXMPlNtHUMAOTJkMFN4pcXqpjGHXdglL1ZUET1ACSYhSJS8LSVF538CgKeBD765K89iStVdxIWaO49u7LA6VIChA/aN4FfRiCSkwUCYAjOVvEQB+ikyQDA9JUDUjqd1w/R5GYNq0sw7h3yGNFnDSlCaowBgLWo1qGKGnl9N5Lk57yEJT8mVb5lYdyJAXkI6pCKr6I9BSk2PcxMJEIwMJxTNFAVHmBDYhqjA4NeQlVNeQhqgUtRS00UiqI6G+f9ltnZT1JzK6SoRpPdY7IIT2RtGB6Gm6rURxKkhSQTlR5CIpTHtq9hKQninCdmMh9iPSvT1ZZRBXCiNKiqEg6USxoglEVw9g6q+5HDFJTi/kbvwyySrtG2XmRlRzAX3fCtqjwXxmc9t/nC8Abd1xQjqSI2xeN8wTixiHUzuB9gpK874K6VQYfcOfkkF08SYiokvtdTO0n9y9rQRk3GZXN25eXoBa92m8hogRBRdsNI1VlnZeKHASVRE5xEpNMVtG+pElhqVhEmz/lSIobNTsZeARFAqkq5l4uyW07GlhgK1T5DUNOwyaEjQ1ULEAmZWp4AcXUP8NCS3k1YUiCKoKhf8OkQN0Yz700gspS52lJqjyUIilOBtV0URB30PlAlr6ABFWhNEiIwQHKQZLI0ODgoTQxZFCvLan0ZANrYJuCfH6CirJAjEYWqnROGEbVknV+kXtXtajF9VkTVE2IqwQwTim5xEYvr2t5nIQUMjHQ/l/tOFEeSpEUEHZ0CEEKjIsN5HXjB0LIFuVLUf6RtONjQgXIkWH/itSgIl4wcsiJIsk+lVInKy9BFVGnAdWRS9z16lj06yISTVA1QRWCyiEd5UERL9zo2hMlqFjt0BAJZhfTGFaLpAgCGxIQtgMFhOISb0AMquMGiCoasOsRE5H+xnaD8sAuFdin5HvFTQKPjBKJyu9PRp2sLIKqMtZoWJKZxIkyiX2eCIyboPJmgciJ3N7DEWlKVuvJBKUlqfJQi6Qw6IXnxyzBJWKByXA0iJWoZG8+iaAMI95qyb0ByuWBSgHIaoDIBOAG0onKe4YB5DScTpKkoiIW07MCGJ2H37hd6HOQU37CGS6GUZaegAhBjft7mmCoRVIE4FZfNRe8CY+sfKlKPqXAbkmWnqIERSWpym/jq/2Qx4HCjSeqoO9AZo6+1JIkeRBRP2po5EbWeCkYdDwSKSqDoLICbqOb2aqkJ//aMkENJBCA9u7LC8VIioNb4lfz1XucEhCbBlIV8UiAg2TGKMAlgOlJMwniNo1R+RkGg8MMofbznDB8F3M/FX/Q5dDA5gNExYnknl6iTk2WK24AFeJiNCYLRTYyRbKqVDAUS6mfc+fS67cPOzqkx2XK9nCZmAgLk5N/LZ+gmMkHYjM18kMxkgKIT1L+gKFE2IVkonLiB2DIJZR5pMLDmw7OSECAUYKiVFyA+QTlEuGinlEaRL6nfzeOBKKKOy+DYHIRlaze0ZNBA0hW+Sk+PnITVOT5kpyqkpDXThTEVDISnBNKhJ0lPVGAWyzRUUsjHcqRFI2QFLOpGIzMG5Ax8QYDAXWe1wyh/sAlwohJSayzhE9OpsHguBSUcrgFktvK+blIIHnFE1VZ5Jao9ETQiMOIxsWwUlRhCSqBiLPsS4PeeDGOHxFCkq8Z60kcR1CW51FsseSQF41UKEZSHKY1yA4MvnxChUMC6dulSIIbJ6EeYbgQKr8IfClKJij/b49RGAYTqj5f8mI8ZJuKmwD9fkSICpL6cohJnElUmqA0ohjhmJjUrCEDiaijn0tklUR+AwRl8X7Ii8VA40iKaxf0PFCKpAgBTDP8q1HKYSNMVJwhxjaEgde+NAUD4DH2oChBUcrBGAGlDIyJkenbpRL77A4aUcXAk4gq6lAhoejEzi1RaWiMEOOyQwEo7MkYZ4dKVP1J1/bViYlSV4Sg4BETtRhMy421f2tkQymSooTDNFjox+zZgGEQT6rxdiZyZj0WlqYGCMOTpghBLi89GYFdCt4OigopDkayV45vRPWJyutJn6iA0O62TIaFPEk4NTQmCUOPZY9MolIPELYl+ZCJJlrKJ+naeeDbncU6hSBxAKU82BRrFINSJEXA0TSd4LXh26VYfOKrgJgkaYa4/gAFqN2/MvNSHXGbgnsSE0ATB45vlyIGB2eDgzRPTEUoWa7sSVRRlnQtVWksBJQdwwObtYGA/2TJBxgkp6Grc0fhxWQaBgOlDI2IKYNwgLplH37xTHyl0h4SIoipaTloWg5Mw4VFXVDKgh3JwDmuICPiArQHUMc77PBBegTEJmJXxQhcl3pEBThu9tdADE/H7P2VEU0eOah6DDtYACionuCJnoGTagfQ0ACKkQAn4SP6fgAjLCWF1HuG9J4/p/1rDpk1I2hrSJltPCmqYbloSRvwhY4nnngCr3nNa4LXt912G97ylreUupZakhThmLJ6AABTknC6jgnHYGA2DblxDqj6eJ+0BsV7At7w1HceUcEQUlrf9Tw8Ig2DwQWNtUv5qZkAklmZc8DrL6/ra5QMpSKMofdzqv90klWNulB1IuMyCM0DSaoCInMuRnIK1HTRgFvfUSui8hsoIyRlyQnaeFJUw3LQMsWme9w4ePAgbrnlFixfvhwXXnghLrroouCzhx56CHv37sXRo0exZcsWnHrqqfjoRz+Ks846C7ZtY/PmzbnaAMA999yD008/HQDgui7e+MY34stf/nJwr1tuuQWNRgNzc3O46qqrMDs7m9jn2iWp+++/Hzt27MAnPvEJ3HPPPaltCTimTRvTpo0GddGgQpJqmg5M0w0TlKzq4/HSk/9eQGY9ImpDuQTcDUtTmaBeDSqabzLmSuOfIk2l1aZKkqyS+jWw08x4X0OjbhQlqNjx682D6HwIjWtf8yEd8ufBuRSDB9LnYWJfKQ+qLJimcJgwDRdTph1q52ecKHVw4N5778X5558fHDt37szs265du7BhwwZcd911uPnmm0Of3Xzzzbj++uuxYcMG3HbbbXj44YexatUqXH311dizZw9s287V5nvf+x7OPfdcECK+ZMMw8IpXvCJ0rwcffBCbN2/GRRddhM9//vOpfa5dknrd616HX/3VX8XRo0exceNGXHbZZcFnO3fuDH2x9tF50SlPsmlQsbrP2w2YhufCKacvkiQpwvpqP8Pm4IYU5GcjiJPiDgGjFNwSLuYuRFyUg76XXxTCLtV3RefeIOHhFLRBn5KQV5oqVTzRP1eazHkXAm3bWiCYkGDu2LFWIKVXouo7ommIahjiJCe5EOpAXyiCgqdwxfznGZoTH7JpwvI22/56VhUuvfRS3HjjjYmff//738cNN9wQem/lypVYs2YNDMPAiRMnQp+1221QSrFmzRo888wz2LdvH9asWQMAmJmZwQsvvJCrzde//nXccMMN+KM/+qPEvn3sYx/Dzp07cfz4cRw6dCj1OWsnKV+M+9rXvoYPfvCDoc82bdqETZs2Ba+Xn712gKAAeGKy5anfjLBIHUNQxAXMDocjkYefkZj1CAgRQcI8cMwQThQwfLVfX8IKqfzQ9/JjJgdFmKh8h404JKr9aio1r0lnkUFe5MeUw7F0rbGoRiGFbAcISp5vbLCNr64bOD+GnJKcoYif3Nol3nozSFTRUJe0sJVR4ZxzzsF9990Xem/79u04fPgw1q9fjyVLloQ+m5mZAWMs+HzdunXYu3cvAODkyZM45ZRTMtv45Pe5z30OBw4cwFe+8hW84x3vGOjbunXrcOGFF+Jb3/oWLMtKfY6R2KQefPBBnHnmmal6RxkN6qJhCCNjz4tX8t3SfbIAIio/V3jKEBcwehzMFA/nE5VBBClQU3j+EJt6A5bBpWLL5DtQxKkAA1WjH9iLeKKS+zUuaILSCFDTJigJabXLhvXiG0B0QxiTwDlW6ooQVMgd3XMdz6q0MJg3lMA1vFAXL0uOCkQVxcaNG3HLLbfgW9/6FrZs2QIAeM973oM77rgD1157LXbs2BGyNz344IPYtWsXLr74YliWldlmzZo1+NSnPoVvfvObIIRg1apVAIAvf/nLePbZZ/Htb38bP/dzP4ddu3ZhzZo1OHToED784Q+n9plwXq8v43333Yc/+IM/wHnnnYfjx4/jrrvuSmy74uxT8YZd70CDupg2hQNF22lgrjONl+an0ela6LYt8BMWjBMU1gkC6zhgnexLUdTmMOc5OAXcJgGzCJwWgdsEnGlxuE3AnWLgLQY03SAa3PJcRONIynWpiNVyCbhDxUB0hY2LOiS0ywLiiUpOPim/TjPkpiEpzVKZgGFNbBOMPJ6iY1QBpqqT0/oemRehOVHEmu4TSQo5hfLq+XPbO9eXpEhPeAcb3fD8JgxgllhXWIuBmRy8yWBMO2g0HSyd6mBJs4tp08aDP/fHAIA9e/bgimtuxPrXva3Ag/TxH3vvxt989fM477zzSp0/SahdkrrkkktwySWX5G4vS1FN6sAxKEzKYFEXHQyKhYFHny9FdbmwSUmDWDwk8RJAioNZBNwWkbkMImdgUScKj47ATC52UAZE4LAUyBsazEN4+uWFJhuNWAwjUSURSc7rlSKoNMgEFdeH6HUj7RPJiXLh+RsnTXn/980K0QQCfgA/8cwJsCm4S8AYgc10xcNhoJQLOgXQMByYhKFJHZjUhckYGtSF4UVsC+OlgC9qU5eD2kLNZ9gctMfAacSd3CMmavrefwQwiEi3RIV9Sqj9wrWm/FRJQNgYCouB2zQgKr/elW9chVc5OC5r8gBGrJLRWEAostAXGWd5rjuMo0YVpWXSMkQkIMhCESUn6f8ECOfpDEJbSN/+LSUPAPphL9wgII7nNaigum8SoRRJpcE03MDDj1sM3KCBtMQMAmpzEJeLHY7DIQp8iAb+gGIG6Zd0NiA+bzHh7Se5sbqgiVV704gKQ9qiisSaFCmQmHVdLX0tIqQVLyxLHJO8ycqZT4+wMEH5dnB/7oQ3oQTcJGA2TQ1zIeAgrNz3tpjmrFIkleS97av7mqaDnmXCNUxRTMwiYGa8yoza/qihQAMwuvAyFYfVfpwK8ZwbFMxLBgkIG5RhxKsAQ0TlSXYEnmdPjDQVOjenl1/gRhsTXBiHrEEbNWgvpkG+oFEwueoAFnqxzLh8mYGHX2RuxQTtE5f0K4J75ORntpHfi00eYFEwm8JxKebtRnXPtMigFEkBQM81YXpOE4CwSzWoC5OyvsrP9IyTvlRE+6I2pBKHIaKCH7jnDSCC/v8NAB0K4euHwJHCJyo3Jm2SXBQx8O2jJLUoY3Buim1qgEwyFpGiZKPJSaMW1CFN1WFHS0BsradIPtAg3MUJS1TU5WBG+H6cErCmcLJyHAMdx1Qi48QkQimSYt7K7HCKJjzHCcnoGKj8jDBBMQtwLaHyi8YpyURFDe7ZpAioBRgdP66JwG0B3CbglA4QlQxfDei6/RRNgfO555rup1GJ2qYyXdOlSVmHK6/GAsWw0tRCQ57vQnaeiPyfR+xRQD8Wk/YQePf5MZmEcVBvHfHBDcDtEriWAadpgDUJunZkuWV9iawwFlFCdaVIioOgx4zAu89HwxDS1DwsNE0HJyn31H1C5RckjaRE2J1MAkgZSHyiMky/Qm8/I0VwbuBIQYOgXSA8gI1QGRER5Nvvez/GIq7eVRS51X6akDTGjOjmqmqP1EqRlmqsTD0nV7id+5KT0RMOWuI1D7yJhSRF4RMVNwCjKaQp1jXQa5q6nlRJqEVSnKDtWGhQFzOGn2jWxQx66JlmENjbbNqYn6JgNoHbNOA2vZ1NT3jwsQYF7ZKQUZK4DLRHYAROEoDslg4IkqNA4EgB9KtpygQlEtKKAGAXNKg5JdImkSC/H4E/obPLeoRQxGtqSPdgjQWCGqSpJMk/KKceJasi6rkq+luBijFOzcddImKj/NhHL2m10e3nBRVE1fcmptS3W/lkBbgtT5pqUdi2oetJlYRiJAU4kdpRvrpvZaMNQMRROVMGGKPoMALHJSDM9+LzBz0FcUzQHgNxWYisaI8Haj/Dz+fn2acMSuACgSMFh7Bj9dV+zHNJFx47foBvIjImYmbcVJSs6nI31lgYqJCoSmVNSSknE6sRyNnfAe9Uf48I5H9eV5RKzSNNEYOHNDHRWnUDBNV1vTXGQpDwDxTmSS+hQIfCbRro5uupRgRqkRRE4JsvMXVZuHsrG200jEbw+RFAEBU3AdAgiFYYNKkYMj0AEC7rgCeie7YrTgmoARiBurDvSCHsU8KN1LdPAfDKyw8O9Kwy80mIIyoggayKYljDsya5yUMFRFVlWq8gW0SSV2mB/hKX9L1do1kk5PfiEPV9YsLpiTMSzG1i9CtxD9xbiskkbpigaI+B9hyvnQnq+pIUhdH1pKmuMRChItYp7YKeBbVIigOOa8BhFF1mwozJGjxj9LCi0QEAuExEdHc9N9F+SqK+yO0TFTf7g4/2WKD2A4RXoCHFTwX2KRr2+PPjp9KkKEE05RYJn6jEM3jXG1b/X5Rs4hKVarKaLCjiSJFUHgYo55XKSUxoRrTAaMJz+4EigSduiTEdKpXhcHEwDqPdA+k5IA7z3hfLqj0dlqb0LCoHpUiKcYKO07c9yZgxu7CkLV6PGXCaFDYz4LoULiOwYQR6ZGEREkRlmgS0Fx7NvtoP6DtdiFiqcPwUDCJSpbgk5JaeBW5ku6L7SEuPVGRXm0hoeYgqbVHTZDV5qJmoBsZaZGxkBaWHVIAl+holK5mckjKtc3BA7rcnTWXeSw7e9VOwMQ5quzDaNsh8D+h2QdxmcHluElhtFpKmmFqF0CcGSpEUGEHPNjDvWHA8bwafnJrUwVKjM3CKnxfrGBMpjmzXQN8V1CcqBhM0RFSy2o/agNnxJKpI/JTI7xeRqHKUmy8KWe3no6g3UmouwDiiKbqIaRXgZKGMLbMC5M2aUpSo4jKnxJJTXDYW7/qcIlWaIgYHT3ALF1IUFxvcrgvac0HbPaA9D/R6gMtAABjMKzfUonCbBG6DwG3GiZV9NWJhLKJpqBZJcaDbtdBtmui5JuR8si0qLJlLjA6a1MZycx6mV0jsiFfx8hj8zESCqMSg7ROV5QiPP+L03csNybPPj5uitudUYfhu6QAg8vsNlJHPuQAIwslXMM1HmkdgEoHlSlqrgCpIY4QoKKlkxfSlSVFREonL5i8TSxmiSoTvZRtXgQAEMLmnHoyXoALblMnAWwCHAc4BZhMwS8RjckrAGgTmSQ7acYCeDfR64J0uYIvCQMRtwABgTpmwWlRUYWh799UoDLVIigkDY9cxcaTXwspGG00p2m2J0UGL2GgRGxZxAwlr2pwJ2shEFdioGAFxKQgDzHkGmOgTFZN2SF4SSdoTA5LawqWdEE8FaItAX9ltdSCNSpRYClTzrAJKx7BojA8FpaokokqtKJ2DoOT35Qq6w6j+AIQIKn5z56n6XNIvbhhJlSSr8Rm8cBZQwOUwuoKonBaBOU/ALAOsZcKYNwBKhfcVICQqAMQwYMw7MDsGzA6B0yF6bpaEWiTFBRH0bBPzjoWTbgMmdWF56URWGG1YxIHNTbQgyKpJbSwxws6dPlHZzJR0yZKNyiMqH9TloI4YhHLaE0FUBMzwSsYzzz6V1H3PzTV4neR6O24oYlhXHQsyz2EBssq1qGYQUfr1eTpRFYwTTKqa630K7qIvTRkI7MyA2HjKgfqQ/sdtUZfObYosNc4Uhdk1YMxT8KYJYppAV5AT96QpGBRGuwHzRF+aGugR56ClvfsW0qBMh1IkRRhAuhS9romubeKE3cRyax4APMnJwTI6jx43vfccLDXmsZQO2qqOASKGyjVC1TP9YDvrZHgkU7sfO8UsIU1Rq+9EIYJ8PYeKIZ4xqXRH0V2W7AmYG9qelIm89pSJRxUblQQ1X67ihFKp90SiSkOEnIA+QSXZeYIS7/75A9lkZL928X/ORKJYtymkKbcFsI5Iw8YaFAalCGwGHgRRdUCmp0BtF2bHgNUm0Oq+clCOpIw2hTtt4GS3gWPNJlY0mlhidNGkNpbRebSIgxYRKsBlEOR0qnE89npHXQKbAYQZ0uD1gnJdCtoLTwTqyGq+sDTlGgCxARhhSaqIK2ugZkC23l9JKEBydUqnSQRV1z3HLqkNQ1TDEJT/WRZRxSHS3ziCSiQpJqQpob4Pq/oo5TA9dZ8jd7ApQl14Tzg/GB3AbXiS1ZQJo2PCMAeXUd7pgvRsGG0bxpQJc1579pWFeiTVJXA7BhzHwLzdQNtpwG4YsIjrEZRwkrAiK/wa8xiOsxa6zITDKeYdC51pCx2HwulSUbDMU/2JkvIUFmMiQa3h67N54MJObYB5BRIBT+Q3OLhNQCSHjhBhMZI46eNIqWoddeL1FCCXKrBopJxRogxR5RlPedbkIkSVQE7AIEGlpXMKpCmJyIhXXcFX9zWoC+Z56DkuRRdCK+PHYop1hIK4HLTXAO1MgXR74CfbgOuCOw647cDo9kB6TRjzDqwGzfmlaEShFEmBAWYbcKYpem0L7ablOVA0ccJt4RhroWXYoVNaxEWHG2gQB0tpB8vNeRwxprG80cGJZhO9pgnWNOA2DRhdgDlCVPcrbcaBuhxMyttFIqWhg0zrBo9Xu0V3ctJCEATrDlG1M07NF0tQaYtJ0cVpzEQ3ToKqS9IpUuSyVhRxqkiJh8pjhxqARFSZ941zLU8qKBhzTRLDEbITVMuM9z3vWC7aBkPP4LANE5wGC4D3dxoNAMSgwjbV7Qk7VbMB0nWEq3qPwYzcnwzjgr6IoBRJCe87wDpB0G2aONls4njDxkuNacxZS3DYXIYGcbCCzofOa/lSFrWxxOhghdXGS+Y0WqaDtuWi2xRBdW63LyVx33MvxXDpD6L+QUC4cKIARWDcDSaKSwYmXLArjHj5hdQNOQkryQZVmKAmHMo6pJSAUs+RRVZlx1TceTH3yJSm8rioR2xS/fnmvWaSA4V/WYPBNBimrH4dO9OzTzWoix4zcIRO4Tjl6FAOm/g5+oABojoxLwiq1ws8/mi7B6NhQLHldmKg1LdGPEnKbQoPGnfaxLFmE0eaLRxpTGPOWooWtQObVFTlZ0nS1MpGG0eaLbR7FuymCdYUSR6pLbIT++o/o4dYogpFmVNJjeB60hR4iKjyIs5xolQJgcj1Qqg6E7WWohYXcv7euWxRSdeSx14RtV+iRBVPTsmf923LlHI0TQcmZWh4qdimTRsNw8GM0cNJt4EGddG0HLxIpzFPOXqGhT5B9YnKMinokci9HQbac8GpCmLz5EEtkuIcZofDbROY0wTsuIlOs4EjzalAmlpidGARB+vNF0Pn+vFTNjWxxOhgxuxi2rQx3bDRaVnodg24LQrqkICoDFsYQX238yhZBURlhNV+QbyFTFRAotpClqYCtV+Cl18RjESCWsASWRYWJUGNEmWJqiACcrK8+SbZlIXTBEPTcgQxURcNw8Fya95z2HLQZSZmjB6mTRsWdfGS5eIopmFLYS0+UXFzCg0A9Hh4ctJ2DwPwcgAO9UyLAEqRFDhgznM4LQLrOOA2Key2iePNFo5MCWnqJXMGLWLjebIUpxrH0ZJW+YYkYa22TuDFxgyO9ZowzSZ6FgNrMri2kKaoZ5ui1LcrCakqCrkyp6/y4y76aVZ8oop7HCMm2WxEpSITzdB5+soQiuIxU+OSojRBJSM1aDePFJWEAkQlOyINSE2Bx1/M+6b460WxgFCOhuXCoi6WWF2RwNpqY7k5jyVGB0tpBx1u4Tm6QmS4MQSZAcBRADYaIIx6/fMn5RQsk8I41g+NIQ4TGSo0CkMpkiKMw+wwmB3h7mm2AdYy0G1aONxcghWNTijRrHCWEMzS4VYQPyXDpAwNy0XHYl4lX1HNl5lCmkKHwM9P7DZEVLjv7QeEVX7+ToxQkWYlRFQJ8CfbwESLIYe8hDUyG9QilaKUJCiF8ibW6vCR4EgRctf3551XUFSOPwpyYMrefyFPwMFrswSbsEVcYV6ADTREarYmdWAShh4z0LMNtB0K27FAXKGhsZdQUcaja4J2TJBen5jk/2vkh1IkBQ4YHQZzXkRoC/sUhd2w0G41MDc1jWmz56VDsvGCuzSwTx1jLRx2lnlu6BY6TMj0DSp2SablomcZ4CYFM0VQnlDxAUCfqLhfsiPOEyiwTxEIq5QgqqylI5WogAQjcoHvTZHFqw4o4wE3TvjjQ9Fs9AN1nuSChEP0NS7DeUBWfgWDfrpY75xI39jgfPYdoAgjobRmPdcMKoKLkBcbS+k8OtzCCqMdSsfmh7kwRjHvEtiuCaNLQG2C3hIK2jNBew0YjIE48bo54ZhV8vvRGSfGA8J5EFMQBMy1RPGwXtvCC80ZmJShSZ0gp5/lkdRxdyogqCgMP+UJ5eC+NOUIaaof8ySIihlkgKB8u1Riv+VJmgCZqMSzyh0s4AIchWILVh2IEpWSkk5diBsTCklVsYirnJvTww/AgDQVnVuhDZ/nNesTFY+q+JJsN74q0SVwXBpUU5DRojYaxEGDOOhxE5bnQdykNmxuoOeacFwDtm3AtSnsrgHaA4wegT0jiIqwRkjtp9HHQw89hO3bt+N//s//mdpOKZICF4ZEo+3CsgiclhEUDet5LulHTAcH6PLgFF/1d8JtDVyuSYXHjmm4aFgOepYJ12LgDRJkNg6r1fpJIOMkmXCwoCdNBQ4Q+YkKSMg2UJSsVF6oKsailKgUthVGMTD+ZaICws+Sxw6aEj81sOHzwztYVGISr0Nefb4zlOzwBFFs1a9jJzbBQoryNTUt4qDB+xvjLrPQZSbajoWOY+KoTWHbBNT2nbMoDNsAcU0QpxHvODEGHDx4ELfccguWL1+OCy+8EBdddFHw2UMPPYS9e/fi6NGj2LJlC0499VR89KMfxVlnnQXbtrF58+ZcbX7wgx/goYceguM4uOCCCzA7O4sHHngAlmXh0UcfxWc+8xkAwMMPPwyeQyJULASagzAm8l3NM1htBqMn3NKNNoVzwsLRk1N4YX4GhzpL8YI9g5cccdjcCB1RUMpBKAcxOJgpyIVZwi7FTEip+LN7GdqduaTvXJEraedgMOTA4mvwbAKqm6AUJEDCF5kUNenIkGIyQRMOiHkUVNYmEBIV5YFqLzgkVd+AVMVEbj7GBie9RdwgQYB/rDFOYAWdx3rzRZzReBGzzSNY3TqJNTMnMLWkC77Ugb2Ew14C2DMiq42z1IKzpAHeUEMe2LVrFzZs2IDrrrsON998c+izm2++Gddffz02bNiA2267DQ8//DBWrVqFq6++Gnv27IFt27nafPKTn8SSJUvQ6/Xwoz/6o1i/fj0uu+wyPPnkk/ipn/opAMADDzyAt771rbn6rBhJISjBbMw7aJxgsE5yGB3AnCegbQO9toUjJ6fwQmcahztLMWcvwVFnCh3JDgUAXdYfFJYX+2BZLojJAArPgUIMYtboE1VQQl4a5KH+SR5FcUG4ZYgKSJASFCQKjREhaxwpKGXlGfuVQCIsn6w48ectD2lDYucwk+YuI2CMwGUEjkRWIqRl0NHBt0ktpfOhUJdlU13Qpgt3msFtAc404EwRkYi2acCdbgw+B+f9MvQFD3Dg3nvvxfnnnx8cO3fuDF3++9//Pi655JLQ8eSTT2LNmjUwDAMnTpwItW+326CUYs2aNXjmmWewb98+rFmzBgAwMzODF154IVebf/qnf8Iv/dIv4aKLLsIf/dEfAQBOPfVU/P7v/z6+/OUvgzGGf/3Xf8V5552X6+dWg94DeDn0GANhBLTHYXQ5zHlhmzLmKRzLRM9iODbfwpRpY9qcwYzZxQm3GcQ0AIDNDZHHjwl9s0Vd9KghJCmLBen3o7srv3yVPLBjjbH+7sz3JppUdZSCi904MTGS2pg3MP73lFQpN+RIIWOYbXH0mV3Sl6wC9yWhhmcWCfJu+s4Ton/9v7RLwSwOxxY17NqOhZd605gxuzjOWnjeXRrkCo2iwy10mYUmddCgLkzDd87icJti0+taYo3hlICbpHJp6tJLL8WNN96Y+Pk555yD++67L/Te9u3bcfjwYaxfvx5LliwJfTYzMwPGWPD5unXrsHfvXgDAyZMnccopp+Rqs3btWixbtgwrV67Eiy++iO985zt47Wtfi5mZGbiui3//93+Hbdv43Oc+hwMHDuAb3/gGfvmXfznxOdQiKV/H7DAQKsq9G10Ks8PhdAiMFsB6BG7bRMeycMScwrRpw+EUJmFwqAGTikKIJ50m2k4j0DMHt/BUftzi4F0OZorME4FqIBqP4fVpwJlCGvhBeiSPqPLYp3KjzjgmTVABJnKDoQBkUg85t8geeVFbVRyyyCtuPoXek0JBDAA9iLI6EbuU/5cC4DYB71Awy8BJ2hSZ0CnDtDkTSEwtYgfxl7JkZUvhLg3DER7EpiviMS0OtyVs3m5DVPLl8wQ8mrxvDNi4cSNuueUWfOtb38KWLVsAAO95z3twxx134Nprr8WOHTtC9qYHH3wQu3btwsUXXwzLsnK1ueGGG7Bjxw64rov3ve99eO6557B9+3bMzs7izW9+M171qlfhYx/7GHbv3g1CCFauXJnaZ8LzWK5GhOUzL8NPv3pT8NpZ0oC93EJ3mYHeUoLuSgh973IXWOJgelkHq5a0sbzRCdKYmIQFEtVcZwY9ZmDeseC4Bto9C52uhV7bAroG6DwF6RHPdRTBEUpZZITVBqG/ntqQGwgmTEBqGSQVpxpJ3MXHkcmwJJhFUItM1Tj2shlRLIDfJ7H0SVLfk9Zwf26lpA8LKhAwMbeII9zBgzkdzalJhXrfmeZgTQYscdBa0sOKmXmcMnUSs9NH8fKpF3C6dQRLjflAovIJ64C9CnPOUjzXW44XezOY68xg39EVOPbSNMhRC40jFM2XgOYRjsYxhsZxF9bRLr75978LANizZw+ufPfH8MNnJUsQafj//u2r+MZffSG3ymySoZYkFQFhXKj8ehzUFrVcmAW4XbH76cw3cMISjNJjBqZNG0usLhy3gZ4rHs2JMYoSysGocKCgrtjxiPsBnA0GA6b30ZOaVHcLlpFHgpqk59FQEllSVi5tQwJBReu49SOl+hIVd4U0xY2Y7BOepy61CWAQsK6BnmXiGG3CNFxMmzZmTFHx24+TsiI2KtlBy6QMTdMBtRiYwYWN2xTl5o0uAetSsIauH18GSpEUJ+HFk/ZckCkT1BY5/ZhFwBqA2SawTUFU7fkGGCNwGkZASA3qou1YA6o+6sVLEUMcoAA3ORjExAnIyh10XU2Db5cCUI/Kr0poFV8qFlKG9VKoenz4AbkxhJXpth4hqIECo3IlAQwSFW+IS/ppz6IJaCl8jQgBIRQuNdGlHCesJo6YNhrGUgBAh1mwLQNLaQc2FfFSHd530vLtUgblgV3KV/kZXVFtwbUITJ1gthSUIikQgDVM4TjhsKBuC3W5kKps/0cH3C6BaxmwpaqYruex4+fWSryNF9gLQ5TdIBweQZFECSopC0UIEemj0I6xKMpIOpqgYjEqe1QhAkyzRVY5nuoeE9H4KISdLmIdLYY13RgckDxvQ7FTfnFE17uVLUlbXQrXMtA2GjhCp4RDBGHoemtM17CwxOiIRNaSFCV7EgMALAbeoIKcmkKaojaBORVpN1TGiXKnTSKUIilOCViDirQllIKb/YFGHY+s3H7BQmYTcIfCsQ30vF2VIe2ubGbAcY2AvOQcXb7Kj1gi6tyv1sksOWC3LyVlEVScNNX/rD8Rk9x0YxevPG7IeRcsTVBKYCiiUpiccuWajGSfkOdJrOZBqtfGKQd3yaA0Fb0X5bGhIXEqP6Mj9a9DAFAwasKmHMdpK1hLnKaY/D4ZnUALx90WTrhNvNibQdvpu5f7mW2YyYOwFrcJsA6BMzV+x4lJhFIkBQKwpgHicFCI+ityDRahQ0aQxZw4BNymYJTDpgYoZeg4g5JVFIbBwBkBsRi4TQErrMOOIo2g/OwTgc484ukXblshQUXbpU1eTVCJGKUUVQp12DsrGA9FMvYHhQcj3rBAQuhGjDRVhKiAwfNj+8X7RIWW8PaDQcDmTfQMHtinfDhSRoooQfmmBUoZiJx+zUtm7bQIzHk9D8tAKZLihIiaT734QSiL6tQGjA4BaxJwKojKMfIbJomXgUKoBoTaz9dhx5WVT0qTFFUlcK/WlE9U4rkS+lDEmy8LqhKRoklRx4nCdi9FCKqIMxEQ4+wgk1UM8cYmqi1A0MQQJOaDEyDuaYPKBl5tOCOUWo+CEwT2qWNGC44rJn/PU/uZ1E0McfH7wSgHb/Tt6Kwngns1ikMtkqKA06KgBocJoa/1VX7E5R5BEaH6swHS9ALyIFRpjm2AUg7GhFxPY1xWKWVg3sAiBgdnIp0KoV4uMANgECoD37iaB/5OL/azqPqvSnJSGfLzaG/B8aPg+CokLcVlXwnZhWRb7eBmrpTaj5GQ84R8r76KHYBkog7ipbik/pOIynek4AaFa5g4GZw5g15TNGoYDnquGSIo32nLNFgo/Zqfbo1ZIrg3/P3w0kUPE+PNFiCUIilQsdswATgQdVk4FT+u2+yr/mRpKnAh7RhgAPw0jpQywBWDJo6sZBBJmiIcsVmV4zz9ksp5xO0UM3fOC5mgFMU4A3hH7kWY4/coWiU6jpiy2gaeeilEFaAKJwp495G8x0OSlA+PqITGRJAUo4BLOU6iCcftd8QvMR+FUA1aMAwGl3LA4mAtBtemgZlCoziUIilOhO4WAKjpB84SuI3+riiaMJK48IL4xA6LuwS2bcAwRNVdB4DpbTsclwbJJP06MoRycG+H5ktT0azKUbVeFEFqpKg0lVfVlbGAyE4ZGtVhVKmsJiGbRVGCqqUPceEbEbVfrDTlwVf1xTpO0ME5HDg6SRKV8PYTm19uEvCuAReAYzC0exZMw4VDKUza37X6pOW4QpNjmi4cywBjwrnLbQrPZKpGIvSJg1okRYUnDEBgBGJ3/zP/b6iCrS9VOQSM0iDhpBvk+qfBJooxKpJJugmM47mkwyVClqL9yAv/XnJfkzBAKkmqrhzklHjNuqFVc7VDlZisURGUvIHLGssDRCXelf4d9MLOI9nJ6c+iJTzEffsOWswiInUS7XsQd00TkErWmZQN2KVMg4l4Kc8pizU5XHswTyi8qg9lQBaRD7pSJIWApARBUUO4ncvl3KMl1v2MxtxFIE0xm4JaLERUAAKC4tHBTIWCT+i4AbgYKKbmB/hmIdE25RNVTjWYCjvbxYCJTQxcBDWpXpPcvYdB1D4FxMRQRaQqIJug8sxdcc8YUwKlYDaFTQ10LW/JHKytGgKlXGSfYEK747aq/64WC5QiKU5EfSduAIbISBKbqTyKoKy7SwCbAgaPISrEE5R8f8/g6qc5IhGi8u+VBwNut8DkEFTdeQEVwziJShVpqm6k5d2LIi3OMCRVGQkLf2T89ee1iIXkDCEbVXBF1neo8KUpTglg8iDUpdPts5MfR2XF2KgoFdKU7ZJAIvM34BrFoBZJeZJU1K0b6IvjnEYHsCAowBvcTOimCRAhKqQSVADDc5jAIFGJPH3FY0TyqumyrqttUxpVY9gNUR5JJkpQecZwWpxhn6xS5nPGxpaTvr25f30AVn9N8VV+silBThxAKUe0HrhFXdgwYIKBMRqkYOMWH6iwAMZBnJJuemUzVUwglCIpEMBtRuxAvieOFHPkV9UN26aEyo8QCGmKccBiYDYNXEKHha/eqIuo0q47MnKqwhZVZ3mRmhAY7Rfi3E/5PaJ1lsoir6Q0MI5TxlvcbxFyrMjj/edtMjnr81aQRYbHzzm5j740RQjADQpuMti2aNCwHHQcMyAqlxHYkn0qKk3FVQDWyIZyJMUbHK7/Al48lDSQfO8+FqMT9oPzuLfL4pQEyrokcEYAT2888JnBQRwSDHRhl+oTVR0ofV3VMk7UmdKnJtRFUGnqRFVIMakCdV3XB1BqTAx4AOZ0Uw9UfpG1g7gAN73rGiJzeVw13+A6jHgl5wkcl6JBXbiMhNKxAULK8qUparHgXI3iUIykvPIZQEBU/k5HzqcnDzJ5J9ivlivUdcSm4GADREWydn2eyg8svLv2+5JmMC6ie68EBcodjLxG0QRKVKPESAmq4G9Ru+Q+xFjLS1RR27If8yjbpgJJKmJDHvAi5p6Lu+8IQWk/cQAdlKJ8UMpgWSKe2GXjNjZPJhQjKYA3GRil8Kt2UJsIpwjWtz0B8ZMo8PIzefg9SApELy4qQIIUNQBvwKcRlZIEFde+jiKKWfdc5Ah5rY3rKxn3pmGYsRCRystIVH5IiZ9IGghraOQK3bHw7N2gYWmK0vgTfGmqx6jIFzqQcQKlbVKls6dPIBQjKS6SvgIA/HRHvkton6xSL+Gp/OD6xc/CKr/oFM0iqGA3xjEwyfO6v1aOYRd++Xwt6YwMqqj2KkedG5G48RnJUpEpUcUE6APS34JFTuOkqWhWG9/jr8tMkf0GFKalJakyqN2S5zgOPvGJT2DTpk3ZjQn6Tg5eUC43uecoIfJg+ZHj0SMEj1SIK1R2cInIxecNrlySUwSyTcHPfBG8pjxViqpMdeJ9L5VCSzqLC/4YGuZ3l68xaoKKwCf+oMKAv4kNCEg0EHk5RWZy2a7trynB/42+NBVdW+KqGPjSlFwGSHZJz0rJppGN2knq5MmTePOb3xwkfc0Ff9Gn3iAz/IHFE4kpGuQbR1RJZOW/F0hEaZNDmpRZ5BMls9KoezHQWJyIkk2UeNI+GwNC0k6ejWYeojL75CQngw3Wmegc9tYNzkTSANdLteYTFfNsU/7hkxeL07ZwDjBW7tAZJ6rD8uXLccopp+RuLzKTkyDpK1g4n16Q8FVylBhwRadcfA7vOoHqDwiCcrM6EpdQNsZFOc6FNxcxadLRUBnjHp9VqaH9NQKed5+3ljB4CQCCxLcYyNHpb4yjCFR+QGCbktOvmdLiIecL1SiHsdqkdu7ciZ07dwav2TGRGH8g6asUWMvgE0LOQexKRCXrrdMmQZbQF2OA1sSkoVEvhtJKUPQ3qrLHn8EDsopePyAog/fV/QwizMXP7+nZpmSDmAORv88nqFgpSiM3xkpSmzZtCtmqmmfN9j8M8ul5HjkxGSCAdKeFaEl3n1i4LCqX3eTkdeuW22poaNSLtPksSVUcIvDfj4/ifmabPBoRj6DgaX04I6H0a75UlUlQQ2WcKHfaJKJ2OZRzjv/xP/4H/u3f/g3/5//8n+Ln+9VzPfuUr1ful+1IEMf9//ulPHwblWenChlao0daf6JjLo2AJsmWpL38NFRBlWMxzp4m2ao46duqYIhqurzB+wSVMn/luCnuJa92A9uUlqCqQu2SFCEEH/rQh/ChD32otnuEqn7GVQhNKLAme+sMVAMtAln9Nymk5EOTk8Ykouw88+eqJ/jwiEYksDnLDlLRKeKp/ILPPWnK90wOS1VILg2kkQtqxUl5Ud1yqiLCiFfU0JOA5EEkBdcGl0gq4R5DVAAGygKUxqSREzBIUEl1rzQ0yqKIOnxUG6YIUQGCrHzHCiA5pi2IybIJCCWiPJBHTr4jBYkmDNAYCmpRPCfgDgW3aZ+ggMr0rwGZSZOhTIDlgqg/lLQgaMlKY1h46vXcY6lIW6C6JMiAWAEjruoAAjVg3FwPmQpcKaTFpmJz7bmnxx0hcA64rNwxkFJdfVx55ZW48847C5+nliQFhMkJ6IvhKYO4UMR4RKICMCBVLXhkLQhaotIoioK10qrODVhKXS+r6SWnCiBbsxKUDQmKonpzxvdKVnT+HDx4ELfccguWL1+OCy+8EBdddFHw2UMPPYS9e/fi6NGj2LJlC0499VR89KMfxVlnnQXbtrF58+ZcbbZt24alS5dibm4O73jHO/Da174Wjz32GF588cXgXrfccgsajQbm5uZw1VVXYXZ2Nq67AJSTpNBX7/lHTimqyKAPSVQRqSqvZDWxhFZkd6uhkYYMiSkosyMd8melEFn8h56HUecm2akigWjkNSJIFsAA2J6Dlk1FuSDv8BMHlMl0UzV27dqFDRs24LrrrsPNN98c+uzmm2/G9ddfjw0bNuC2227Dww8/jFWrVuHqq6/Gnj17YNt2rjY/8RM/gWeffRZ///d/j0ceeQQA8LWvfQ2XXHJJcK8HH3wQmzdvxkUXXYTPf/7zqX1WS5Li0oAPFSPL9+OWro0TkRzySlYTV39IgUmisQCQKWXku0wtUlXO0h0DiEpVEVuVjyANk0xUTt+WBdeT6hgJ+pG4fjEGuCXZmnPce++92LhxY/BWNKTn+9//Pm644YbQaStXrsSaNWtgGAZOnDgR+qzdboNSijVr1uCZZ57Bvn37sGbNGgDAzMwMXnjhhVxtbr/9dtx999147rnn4DgO/uEf/gE/+ZM/iQMHDgT3+tjHPoadO3fi+PHjOHToUOqjqkVSQCI5DZBBhvovijJVbbPKimuC0lhUyJNLr8Sam3tupqjQAoeGKPKorqPPlXcNku8vf+af45ZUQ+bEpZdeihtvvDHx83POOQf33Xdf6L3t27fj8OHDWL9+PZYsWRL6bGZmBoyx4PN169Zh7969AER6u1NOOSVXm3a7jWaziU6ng8985jP4sR/7MTDGsHfvXhiGgZ/5mZ/BunXrcOGFF+Jb3/oWLCumOKAEtUiKD+46YgdGmQSxaZNAUf0xgPzPmvYMmqA0hsGQ5BQXFlKorE3O+RnKhg70Jaq84z9iWkgkqIzcnrImZmiv4YqxceNG3HLLLfjWt76FLVu2AADe85734I477sC1116LHTt2hOxNDz74IHbt2oWLL74YlmXlavPud78bn/70p/HUU0/h7W9/Oy6++GLMzc3hu9/9LiilWLFiBW6++WasWbMGhw4dwoc//OHUPhPO1XETaa5fh9kPbon/sM4fOy1gL+G2tUpRKgxslYlbY3QYgqDSssFESSpxE5kxDqPzM1ZySVP/Jdi8ixJUrDQY05f/+O0PAAD27NmDjb9+Pc5eedFAmzz417lv4sGH/xznnXdeqfMnCcpJUkMv0EUlioxJMFKVngrkpKHhoyaC8j8PBeHnXOSz+xOj9isQwpKqyZGJK+a5B1Iq6flcCdQiKWTrtMvuuHK3GQdUG8yqfk8ao0EN6r26EGc3rkrFlpeg4ip0l/Ze1BiAciRVCpO6qKpGTsDkfpca1aCCMckpH56oxlm3ashb98t/6LlUBSafpGIGc2yU+BCZJSpX+Y0y/UvePmhy0iiArHAPf4FOIqvcNqkcGKjxRpI/K4WM+VqajJiXcaIMFtF0VY6kCg3WnAQV937a4B0wxpaNh4pLOls3QeUlG01KGlEM4TWbh6xGJVkMTUwVzdGqs2osVihHUsOgSPR50Uj1QkQVl7i1bmjSWZAosrkaJ/KSVdq5taLCOZiUhk2TUj1Qi6SKjKOq06PkQCZRjcvGpAlqQSJuTFeuyqoYRbO+xC7sVY3nlPk4LMkMq/EBIDJOOE78Z5kdWDxVD9UiKSD5B5UHXIlBHE1vUjnKXLuKEgWaoBYkJjY3pAd5EU+UruqQPFLimLIQbVO4f3ou1gLlSCpxp1gi4FaGEpHfSc8Qfb9IDR4NjapQU12nSqSOLIy6z0OuRxr5oRZJkbDEo6I+vrQTRZHJpwlo0WOseSPlZKtxnxXBqOtEJSBvOZ8y6dNi1bK5noULlV8ZqJMoqHaoRVIeoj9wEmkphSontoZGCkayWatqzObVEoxAgkqzlxUlp0LEpFZBpImDeiQV/UFZ/8dXQmWHFGkqjqg0QWkscBTKb1nlfCi5HuRWP+YgpwFi0oRUOdQiKcIH9eL+j64gWcVCJqqCyTFVUGdqqIPYlD+KjJE8Wo3aPBHHENJRmJz05rQyqEVSCwU5Bmiae7EqC5HG+CETlSrjoozavbICoXUR1DgcIVwGbpd0QWeKDIYRQE2SqnGnlDVR8g7IYSbdgqv4q1ErqhwLqkpmuZC1LlQovRQmprIVgTUyoSZJ1YC8kzFv6fiyUNb5I08FU42JRhXS+zDjt5bN15BjtpRUmOeeOVX+GtlQj6QqlKKGmRB5yKpOiWek0lRQ7nq4gGkNdZFHegfqH3ND58GUkXOMVrExzEVMcdJU2uaPc8AtWdNDu6CPCRWJGbkmQc5BnxWvUgRKSlFJmwItWS0IlMlRCcTPobGN3xIElUnKoxzbei4NBbVIKgk5490yySlLSksYTFUQlZIEpaExCSjgMQtkaD/qJosk25TKHsmKQ22SipBTkut55e6tNRBV0fNHouorSdoaixNV2GtLj+sKxmGVBBVdi0LXjm6qExwqOGPgJRPM8rKZKiYQ6pFUzHc/EnIaAfJM8kl7Jo3FhzJkVWhcD+F0ULfGInEtSnifGzy3JkgjHmqRFM8O1B2ZhFGjfSpukpeuVaUlHY0UlBmzRT1hfQzt3h5Xh63A+K5TzZe2LqVWBtZqvqGhFklhcUkSpYkp6TNNWBpjRGVee4ohjmjSnnUxrWGjgFokpX/cQRSZxHXEZmi7lEbVqIGY6lLz5SKoss/Dhsk4sXh0iGqRFDBc8cAi7dLuo8qiXHbw5yWWPPWDVPkuNEqjiMqvNimgznmNakNFgmtG+pyXnOQs67qk/PBQj6RGhaQFOmNiqJhLbQBFiSWpzIgmqAWDPIt4KecGhZD2jKneeBlt/WuHkLMCcJ4aVhrpUC7bFHH7x0hg8PCRE7UT1KgXgYLPrzF5GNqO4pL+UTdKjkXC+0dqO5ckHnHXDCGuTZk1i3Fw1y13KJRx4rbbbsNb3vKWwuc98cQTeM1rXpPZTmlJqiqxueqSAcpKUFVAE9WCRumxq6DklIWkZ82jFkz8nhIIalJw8OBB3HLLLVi+fDkuvPBCXHTRRcFnDz30EPbu3YujR49iy5YtOPXUU/HRj34UZ511FmzbxubNmwfarF69Gm984xvx5S9/OfE6a9euxWc+8xmsXLkSTz/9ND7ykY8AAO655x6cfvrpmX1WTpJKQtGdCif9I+n9kWSBkHefo9iJapLRqBrjkOprhCxtJR0DGJUEWTN27dqFDRs24LrrrsPNN98c+uzmm2/G9ddfjw0bNuC2227Dww8/jFWrVuHqq6/Gnj17YNv2QBvDMPCKV7wi9Trf+9738PDDD6PT6eCcc84BAHzve9/DueeeC0Kyv9OJIakiKEI+tZJVXtfxOJSZqJqgNCYdKo7hjLlaRstz6qmn4iSOAZyVOuZxAn/1V3+F888/Pzh27twZusf3v/99XHLJJaHjySefxJo1a2AYBk6cOBFq3263QSnFmjVr8Mwzz2Dfvn1Ys2YNAGBmZgYvvPDCQJs4RNs8/vjjWLp0Ka666ircfvvt6HQ6+PrXv463vvWtub4r5dR9hX7wHOWdc993lFnHgWLedz6SJouKE1tj4SDJsabqe9SJIpvCEs9alKjOOeccMLg4yY9hhiwrdO4RPocmWvjQhz6ED33oQ6n3uO+++0Lvbd++HYcPH8b69euxZMmS0GczMzNgjAWfr1u3Dnv37gUAnDx5EqeccspAmzhE26xduxbLlolnbLVamJ+fx4kTJ/C5z30OBw4cwFe+8hW84x3vSHyOyZSkEoz8VSSBrVSqinPIGMZBIerkoZ0dNEaFOsbZKMZwXjXdKJ1CPHzlb/4cT+HfCp/3FB7HX/3zA6XuuXHjRnz1q1/Fjh07sGXLFgDAe97zHgDAtddeix07dmD37t3YuHEjLrzwQrz44ovYtWsXLr74YliWNdAGAL785S/j2Wefxbe//e3Y67zhDW9Ap9PB7bffjte85jVYuXIlPvWpT+HMM88EIQSrVq1K7TPhCrmJNNevw+wHt5Q6t/IYCWW+FQ0NxVB2IR91eYy6MMRz/MdvfyD4P+ccK+kanIOfxBSZyXX+cX4ET+D7mOPPle7DpGEyJakI6rApjcyxQkNj0pBXkh+XxF8XQeV4jqhjVpqjFiEEL8cr8TT+b+4uPIV/w31/e0+Z3k8s1LNJ5cwQPioCGaWtSmdH15hILAaVc8IzDrsO/bP7HawwVqPLO2iSVmrbNj+BLubxsz/7s8PddMIwUZLUSF3HR4g8z7TQnllDYyKQIj1lZV2PHnGglGI9fhj78O+ZXXka/4ZX4FW5ur2QoBZJEaT+oCPtSs7I9WFR1F1eQ0MjA8OsHzlUlEmbyixCSnr/n3sPYw4H4XA7sVsdPo/jOIr/w/42+xkWGNQiKQl5diF1YBTE5EOTjoZGTchrCytoN0sjp7KwLAuzOBP78GRim2fwf/Fy/Eiu4NeFBuVsUkmQB0GRQmKq2nKUjueqo+SHxkSjtlIYoxhiVZSeT3j+RHIquP3/5/bDOHX6dKznPwyDhJflHu/iJRzGfzj/X7GLLhCoJ0lR6UhA1q5lVKq6MqjCplarBLYAUr9oVIe6bcAq25izbOCx61DG2pWEqakpnIZ1eBZPDXy2D0/gDJwFw1icdT/UIykZQxCVRgnEle/WmFgMSwCqkkfVyOMuPgr809GHcQD/Ccb7BQ0dbuMwnsX3un83+g4pAvVIikWOGKSl1FdRepIxbP9qe0ZNSAsWqpPNqOdsVWQUa3ZIWbeysGzZMqzG6TiIfk68A/gPvAyvQKPRKHfRBYCJsUll2aFSB3reBXhE0pnf1yITZGzkq8vHTyTisv+rtoFbCA5K/ro0oNkpSVTfff7bOOvUV+J0/nIwMDyHZ3DwxIEheznZUIukeDGnCKAicoprP4KFOa7vY6n6q6WoBYVEG8o4xtYY7geMXnosUvk3DWvWrMEKrMZhPIseujgVs5iZyZcyaaGidpJqt9vYtm1bkA33sssuG/qamYO+ikV3TB5uqu12NSYLeRbnUUhV4xrHqqg2i262ZXzn6W/h3Je/Fi4YnnnxPyrs1WSidpvU7t27ccEFF+Caa67BXXfdldm+VEEyGVVLBapKGaMspqjqd6ARggqB4ZNgFwbiM0LkjXfKs0aVWrs8rF+/HkuwHKuxFitXrhzySScftUtS+/btw+tf/3oAwPz8fOiznTt3hgp1kecPY9UXv4xJx+HDh4NiYZOKhfAMgH4O1bAQnmOYZ3jzX/5P/NVf/VVmu/1cS1A+aiepdevW4fDhwwBELICMTZs2YdOmTcHr888/H4888kjdXaodC+E5FsIzAPo5VMNCeI6F8AyThNpJasOGDdi2bRsOHTqEK664ou7baWhoaGgsINROUtPT09ixY0fdt9HQ0NDQWIBQKphXVv1NMhbCcyyEZwD0c6iGhfAcC+EZJglKlY/X0NDQ0NCQoZQkpaGhoaGhIUOTlAYAwHEcfOITn5hoVcZCeAYNDY0wxpYWKSkTxWOPPYa7774bhBBcfvnlOPvss8fVxUwkPcMXv/hFfPvb3wYAbN68Ga973evG2c1cOHnyJN785jfjT//0T0PvT9LvkfQMk/Z73H///Xj88cdh2zZe+cpXTuTcAJKfY5J+j0cffRT/+I//iHa7jbm5Ofze7/0eAOChhx7C3r17cfToUWzZsgVr164dc08XMPiY8KUvfYl/5Stf4Zxz/mu/9mvB+xs3buTPP/88f/755/l73/veMfUuH5Ke4Ytf/CK/7bbb+K233spfeOGFMfWuOP7zP/+Tb9y4MfTeJP0enMc/w6T9Hvv37+ecc37kyBH+9re/PXh/0n6LpOeYtN/jySef5Js3b+bf/OY3g/cuueQS7rou/+53v8s/8YlPjLF3Cx9jU/ft27cviNqWM1Hs378fq1evxurVq7Fv375xdS8Xkp7h137t13DllVfiV37lV3DDDTeMq3uVYJJ+jyRM2u8xOzsLAPja176GD37wg8H7k/ZbJD3HpP0eZ555Jnbs2IHPfe5zwXvtdhuUUqxZswbPPPNMytkaw2JsJJWUieKMM87A3Nwc5ubmsG7dunF1LxeSnuGJJ54AIQSnnHIKnn/++XF1rxJM0u+RhEn8PR588EGceeaZwUIPTOZvEfcck/R7/PVf/zUAYMmSJTh+/Hjw/szMDBhjOHz4MNavXz+u7i0KjM0FPWrP+cY3voFdu3bh8ccfnxi9e9Iz/OEf/iGmpqZw6NAhvOUtbwlyF6oMzjl27NiBr3/967jlllvwJ3/yJxP3eyQ9w6T9Hvfddx/+4A/+AOeddx6OHz+OZrM5cb8FkPwck/R73HnnnXjmmWdAKcX69evxzW9+E3fccYe2SY0QOk5KQ0NDQ0NZaBd0DQ0NDQ1loUlKQ0NDQ0NZaJLS0NDQ0FAWmqQ0NDQ0NJSFJikNDQ0NDWWhSUpDQ0NDQ1loktLQ0NDQUBaapDQWNa6//np85zvfGXc3NDQ0EqBJSmPR4uabb8YP//APh/IuamhoqAWdcUJjUeIzn/kMfuZnfgavfe1rx90VDQ2NFGhJSmPR4aWXXsLhw4c1QWloTAA0SWksOjz44IP4lV/5lXF3Q0NDIwc0SWksOjz33HMwDGPc3dDQ0MgBTVIaiw6XXHIJrr32Wnz1q19Ft9sdd3c0NDRSoElKY9HhR37kR/AXf/EXeOGFF3DllVeOuzsaGhopMMfdAQ2NcaDRaODMM88EY2zcXdHQ0EiBdkHX0NDQ0FAWWt2noaGhoaEsNElpaGhoaCgLTVIaGhoaGspCk5SGhoaGhrLQJKWhoaGhoSw0SWloaGhoKAtNUhoaGhoaykKTlIaGhoaGsvj/A7qVLRe8PSjuAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432.324x432.324 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x432.324 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plot_2d(\n",
    "    eq.surface,\n",
    "    \"B*n\",\n",
    "    field=surface_current_field,\n",
    "    field_grid=LinearGrid(M=80, N=80, NFP=eq.NFP),\n",
    "    cmap=\"viridis\",\n",
    ")\n",
    "\n",
    "plot_2d(surface_current_field, \"Phi\", levels=10, filled=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "777e5fa8-a49c-4451-913e-7b555e94f4a6",
   "metadata": {},
   "source": [
    "## Create Coils from Surface Current"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "893f3f09-fb15-4128-a64c-d9bf280acbe5",
   "metadata": {},
   "source": [
    "Now that we have the surface current, we can take a selection of constant $\\Phi$ contours to discretize the surface current into coils. This can be done easily via the `FourierCurrentPotentialField.to_CoilSet` method, which will take the surface current field and return a discretized coilset with the desired total number of coils `num_coils`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b55bc702-a4e4-42bc-a302-4611220908f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x432.324 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# for reference when we look at B normal errors we will plot the equilibrium magnetic field, it is roughly 1 T\n",
    "plot_2d(eq, \"|B|\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24639e12-1f31-48e3-bf58-553164e0b5c8",
   "metadata": {},
   "source": [
    "### Modular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8a2c8f03",
   "metadata": {},
   "outputs": [],
   "source": [
    "coilset = surface_current_field.to_CoilSet(num_coils=6, stell_sym=True)\n",
    "# num_coils is the number of coils per (half) field period when the surface current helicity's N_coil is zero (half period if stell_sym=True), so we\n",
    "# will get 6*2*NFP = 24 coils total"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5777eb30-b521-4012-b69a-b25f07c490b1",
   "metadata": {},
   "source": [
    "We can compute the normal field error with the coilset now, we see it has increased from before since there is some discretization error from representing the continuous surface current with a discrete number of coils. Typically an average normal field error of about 1 percent (when normalized by the equilibrium field strength) is desired, and this coilset still achieves that target field error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bec12bd7-d442-4355-8acb-30284c98c16e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 6.834e+00 seconds\n",
      "normalized average <Bn> = 0.003533200144464429\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "t1 = time.time()\n",
    "grid = LinearGrid(M=80, N=80, NFP=eq.NFP)\n",
    "Bn, _ = coilset.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b53b5c58",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 1.093e+00 seconds\n",
      "normalized average <Bn> = 0.00353550982717887\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "grid = LinearGrid(M=80, N=80, NFP=eq.NFP)\n",
    "coilset = coilset.to_FourierXYZ(\n",
    "    N=20\n",
    ")  # converting to a Fourier series will make the calculations more efficient\n",
    "t1 = time.time()\n",
    "Bn, _ = coilset.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "85e530b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x720.54 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Field line integration (on a CPU this can about a minute)\n",
    "plot_field_lines(coilset, eq);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8a752a2e-aff1-46e5-9ee2-ae8cf64a0a49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        define('plotly', function(require, exports, module) {\n",
       "            /**\n",
       "* plotly.js v2.34.0\n",
       "* Copyright 2012-2024, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
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r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontShadow:n.fontShadow,fontLineposition:n.fontLineposition,fontTextcase:n.fontTextcase},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function W(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),v=c.bBox((f?n:G).node()),b=v.width,_=v.height,A=e.width||b,z=e.height||_,B=Math.round(A+2*N),q=Math.round(z+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var K,J,$,Q,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(O+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+\"anchor\"],ct=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(Y=!0):Y=!0),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var vt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):\"paper\"===gt?\"y\"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),J=tt}else ft.tail=K+vt,J=tt+vt;ft.text=ft.tail+tt;var yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e[\"_\"+et+\"padplus\"]=lt/2+J,e[\"_\"+et+\"padminus\"]=lt/2-J,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:\"rotate(\"+O+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(O,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+O+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,\"y\",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",W(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void D();var C=p.getPointAtLength(0),O=p.getPointAtLength(.1);f=Math.atan2(C.y-O.y,C.x-O.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var P=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(P.y-I.y,P.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",L)}function D(){t.style(\"stroke-dasharray\",\"0px,100px\")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},79180:function(t,e,r){\"use strict\";var n=r(23816),i=r(42300);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(13916),supplyLayoutDefaults:r(45216),includeBasePlot:r(36632)(\"annotations\"),calcAutorange:r(90272),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(26828)}},45899:function(t,e,r){\"use strict\";var n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},52808:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(45899);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use strict\";t.exports=r(38700),r(15168),r(67020),r(89792),r(55668),r(65168),r(2084),r(26368),r(24747),r(65616),r(30632),r(73040),r(1104),r(51456),r(4592),r(45348)},97776:function(t,e,r){\"use strict\";var n=r(54976),i=r(3400),a=r(39032),o=a.EPOCHJD,s=a.ONEDAY,l={valType:\"enumerated\",values:i.sortObjectKeys(n.calendars),editType:\"calc\",dflt:\"gregorian\"},u=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},c=\"##\",f={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:c,w:c,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}},h={};function p(t){var e=h[t];return e||(h[t]=n.instance(t))}function d(t){return i.extendFlat({},l,{description:t})}function v(t){return\"Sets the calendar system to use with `\"+t+\"` date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. 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e?e.ypx:J[0]._length/2;if(e.pointerX=bt+K[0]._offset,e.pointerY=_t+J[0]._offset,nt=\"xval\"in e?x.flat(b,e.xval):x.p2c(K,bt),it=\"yval\"in e?x.flat(b,e.yval):x.p2c(J,_t),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ft=S,x.isUnifiedHover(ft)&&(ft=ft.charAt(0)),\"splom\"===lt.type?ut=b[ct=0]:(ut=x.getSubplot(lt),ct=b.indexOf(ut)),dt={cd:st,trace:lt,xa:K[ct],ya:J[ct],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.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},_[ut]&&(dt.subplot=_[ut]._subplot),_._splomScenes&&_._splomScenes[lt.uid]&&(dt.scene=_._splomScenes[lt.uid]),\"array\"===ft){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ft=\"closest\"):(ft=\"\",\"xval\"in a&&(ht=a.xval,ft=\"x\"),\"yval\"in a&&(pt=a.yval,ft=ft?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ht=r,pt=n):(ht=nt[ct],pt=it[ct]);if(vt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ht,pt,ft,{finiteRange:!0,hoverLayer:_._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>vt&&(gt.splice(0,vt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var c=lt._module.hoverPoints(dt,ht,pt,\"closest\",{hoverLayer:_._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=rt}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=Et(p),(!mt.vLinePoint||mt.vLinePoint.spikeDistance>f.spikeDistance)&&(mt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=Et(g),(!mt.hLinePoint||mt.hLinePoint.spikeDistance>f.spikeDistance)&&(mt.hLinePoint=f))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Lt={fullLayout:_,container:_._hoverlayer,event:e},Ct=t._spikepoints,Ot={vLinePoint:mt.vLinePoint,hLinePoint:mt.hLinePoint};t._spikepoints=Ot;var Pt=function(){var t=gt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var It=S.charAt(0),Dt=(\"x\"===It||\"y\"===It)&&gt[0]&&O[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var zt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Dt);mt.hLinePoint=Et(zt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Dt);mt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=v.unhoverRaw(t,e);return!M||null===mt.hLinePoint&&null===mt.vLinePoint||U(Ct)&&j(t,mt,Lt),Ft}if(M&&U(Ct)&&j(t,mt,Lt),x.isXYhover(ft)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=C[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,_),q(\"y\",Bt,_));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=C[t.trace.type]?I(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Wt=[],Yt=H(t),Xt=G(t);for(at=0;at<gt.length;at++){var Zt=gt[at],Kt=x.makeEventData(Zt,Zt.trace,Zt.cd);if(!1!==Zt.hovertemplate){var Jt=!1;Zt.cd[Zt.index]&&Zt.cd[Zt.index].ht&&(Jt=Zt.cd[Zt.index].ht),Zt.hovertemplate=Jt||Zt.trace.hovertemplate||!1}if(Zt.xa&&Zt.ya){var $t=Zt.x0+Zt.xa._offset,Qt=Zt.x1+Zt.xa._offset,te=Zt.y0+Zt.ya._offset,ee=Zt.y1+Zt.ya._offset,re=Math.min($t,Qt),ne=Math.max($t,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);Kt.bbox={x0:re+Xt,x1:ne+Xt,y0:ie+Yt,y1:ae+Yt}}Zt.eventData=[Kt],Wt.push(Kt)}t._hoverdata=Wt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(_.plot_bgcolor||d.background,_.paper_bgcolor),le=z(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:_._hoverlayer,outerContainer:_._paper.node(),commonLabelOpts:_.hoverlabel,hoverdistance:_.hoverdistance}),ue=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=F(t,e),v=t.anchor,k=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);u=t.crossPos+Math.min(M,S),c=t.crossPos+Math.max(M,S)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],L=M[M.length-1],C=S[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var O=g[s];for(l=O.length-1;l>=0;l--){var P=O[l],I=P.datum;I.offset=P.dp,I.del=P.del}}}(ue,oe,_,le.commonLabelBoundingBox),B(ue,oe,_._invScaleX,_._invScaleY)),l&&l.tagName){var ce=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Wt);h(n.select(l),ce?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:K,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(m.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;c+=y,f+=y,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.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,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var D=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||b.HOVERFONT,k=e.fontSize||b.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,C=e.fontTextcase||i.font.textcase,O=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,D=t[0],z=D.xa,F=D.ya,B=a.charAt(0),N=B+\"Label\",j=D[N];if(void 0===j&&\"multicategory\"===z.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=W(r,v),q=V.top,H=V.width,G=V.height,Y=void 0!==j&&D.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(Y){var X,Z,K=!0;for(X=0;X<t.length;X++)if(K&&void 0===t[X].zLabel&&(K=!1),Z=t[X].hoverinfo||t[X].trace.hoverinfo){var J=Array.isArray(Z)?Z:Z.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){Y=!1;break}}K&&(Y=!1)}var $=h.selectAll(\"g.axistext\").data(Y?[0]:[]);$.enter().append(\"g\").classed(\"axistext\",!0),$.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if($.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v=g.font,m={weight:v.weight||A,style:v.style||M,variant:v.variant||S,textcase:v.textcase||C,lineposition:v.lineposition||O,shadow:v.shadow||P,family:v.family||y,size:v.size||k,color:v.color||h};e.style({fill:u,stroke:c}),s.text(j).call(p.font,m).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var x,b,_=W(r,s.node());if(\"x\"===a){var w=\"top\"===z.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===z.side?q-_.bottom-E-L:q-_.top+E+L),x=z._offset+(D.x0+D.x1)/2,b=F._offset+(\"top\"===z.side?0:F._length);var T=_.width/2+L,I=x;x<T?I=T:x>i.width-T&&(I=i.width-T),e.attr(\"d\",\"M\"+(x-I)+\",0L\"+(x-I+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*L+_.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-I-E)+\"Z\"),x=I,Q.minX=x-T,Q.maxX=x+T,\"top\"===z.side?(Q.minY=b-(2*L+_.height),Q.maxY=b-L):(Q.minY=b+L,Q.maxY=b+(2*L+_.height))}else{var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=z._offset+z._length):(R=\"end\",B=-1,N=\"-\",x=z._offset),b=F._offset+(D.y0+D.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(L+_.height/2)+\"h\"+N+(2*L+_.width)+\"V-\"+(L+_.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=b-(L+_.height/2),Q.maxY=b+(L+_.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*L+_.width)):(Q.minX=x-E-(2*L+_.width),Q.maxX=x-E);var 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et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};_(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ut=lt[0],ct=lt[1];st.name=ct,st.text=\"\"!==ct?ct+\" : \"+ut:ut;var ft=st.cd[st.index];ft&&(ft.mc&&(st.mc=ft.mc),ft.mcc&&(st.mc=ft.mcc),ft.mlc&&(st.mlc=ft.mlc),ft.mlcc&&(st.mlc=ft.mlcc),ft.mlw&&(st.mlw=ft.mlw),ft.mrc&&(st.mrc=ft.mrc),ft.dir&&(st.dir=ft.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=h,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),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:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=P(i);i||(i=a[o]);var s=a._size,l=b.isVertical(i),c=b.isGrouped(i),f=\"fraction\"===i.entrywidthmode,h=i.borderwidth,d=2*h,v=p.itemGap,g=i.indentation+i.itemwidth+2*v,y=2*(h+v),m=O(i),x=i.y<0||0===i.y&&\"top\"===m,_=i.y>1||1===i.y&&\"bottom\"===m,w=i.tracegroupgap,T={};i._maxHeight=Math.max(x||_?a.height/2:s.h,30);var A=0;i._width=0,i._height=0;var M=function(t){var e=0,r=0,n=t.title.side;return n&&(-1!==n.indexOf(\"left\")&&(e=t._titleWidth),-1!==n.indexOf(\"top\")&&(r=t._titleHeight)),[e,r]}(i);if(l)r.each((function(t){var e=t[0].height;u.setTranslate(this,h+M[0],h+M[1]+i._height+e/2+v),i._height+=e,i._width=Math.max(i._width,t[0].width)})),A=g+i._width,i._width+=v+g+d,i._height+=y,c&&(e.each((function(t,e){u.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var S=C(i),E=i.x<0||0===i.x&&\"right\"===S,L=i.x>1||1===i.x&&\"left\"===S,I=_||x,D=a.width/2;i._maxWidth=Math.max(E?I&&\"left\"===S?s.l+s.w:D:L?I&&\"right\"===S?s.r+s.w:D:s.w,2*g);var 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P=S,I=E;S=k?i.constrain(S,0,d.width-h._width):P,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var D=h._effHeight;T&&(D=h._height),U.attr({width:h._width-_,height:D-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:D-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(z=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,z,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(t){if(t.target!==G.node()){var e=u.getTranslate(N);m=e.x,x=e.y}},moveFn:function(t,r){if(void 0!==m&&void 0!==x){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)}},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=P(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function O(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  Changing format to svg.\"),\"long\"),r.format=\"svg\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call(\"downloadImage\",t,r).then((function(e){l.notifier(u(t,\"Snapshot succeeded\")+\" - \"+e,\"long\")})).catch((function(){l.notifier(u(t,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")}))}},c.sendDataToCloud={name:\"sendDataToCloud\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:\"editInChartStudio\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:o.zoombox,click:f},c.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var O=[],P=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(P=[\"toggleHover\"],I=[\"resetViews\"]):y?(O=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(P=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(O=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?P=[\"hoverClosestGl2d\"]:m?P=[\"hoverClosestPie\"]:A?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):P=[\"toggleHover\"],v&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(P=[]),!v&&!b||M||(O=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(O.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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o=e[r],s=o[a.name];s&&s.visible&&s.autorange&&(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},74636:function(t){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],O=l._rl[1],P=O-C;if(l.p2d=function(t){return t/l._width*P+C},l.d2p=function(t){return(t-C)/P*l._width},r.rangebreaks){var I=r.locateBreaks(C,O);if(I.length){var D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(O-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 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w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,O=r(73696),P=r(39172).redrawReglTraces,I=r(83280),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var O=lt(v,S[L]),P=lt(m,E[L]);h.push([O,P]),l=Math.min(O,l),u=Math.max(O,u),c=Math.min(P,c),f=Math.max(P,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w=\"drawcircle\"===i,T=\"drawline\"===i||w,k=n.gd,A=k._fullLayout,S=b&&\"immediate\"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),O=n.plotinfo,P=j(O),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var q,H,X,K,J,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt=\"M\"+F+\",\"+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);W(t,k,n),c&&(q=z([[F,B]],I.BENDPX));var bt=E.selectAll(\"path.select-outline-\"+O.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:\"rgba(0,0,0,0)\",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):\"#7f7f7f\");bt.enter().append(\"path\").attr(\"class\",\"select-outline 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],O=n[l][1],P=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),O=v(y.xaxis,O),P=v(y.xaxis,P),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(O+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-O+P-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0-(d.x0shift||0)),f(\"x1\",v.x1-(d.x1shift||0)),f(\"y0\",v.y0-(d.y0shift||0)),f(\"y1\",v.y1-(d.y1shift||0));break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var u=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(u(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,u,c,f,h,p,d,v=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),m=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),b=t._fullLayout._size,_=o(m,r.x0shift),w=o(m,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(m?\"domain\"===g?l=function(t){return m._offset+m._length*t}:(s=e.shapePositionToRange(m),l=function(t){return m._offset+m.r2p(s(t,!0))}):l=function(t){return b.l+b.w*t},x?\"domain\"===y?c=function(t){return x._offset+x._length*(1-t)}:(u=e.shapePositionToRange(x),c=function(t){return x._offset+x.r2p(u(t,!0))}):c=function(t){return b.t+b.h*(1-t)},\"path\"===v)return m&&\"date\"===m.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(c=e.decodeDate(c)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,l,c);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);f=A+r.x0+_,h=A+r.x1+w}else f=l(r.x0)+_,h=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=c(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=c(r.y0)+T,d=c(r.y1)+k;if(\"line\"===v)return\"M\"+f+\",\"+p+\"L\"+h+\",\"+d;if(\"rect\"===v)return\"M\"+f+\",\"+p+\"H\"+h+\"V\"+d+\"H\"+f+\"Z\";var S=(f+h)/2,E=(p+d)/2,L=Math.abs(S-f),C=Math.abs(E-p),O=\"A\"+L+\",\"+C,P=S+L+\",\"+E;return\"M\"+P+O+\" 0 1,1 \"+S+\",\"+(E-C)+O+\" 0 0,1 \"+P+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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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\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return 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a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function O(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll(\"g.\"+f.groupClassName).data(a,y);u.enter().append(\"g\").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(O,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){\"use strict\";var n=r(60876);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},73712:function(t){\"use 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,O=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,I=d+v,D=g;I+O>l&&(I=l-O);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:O,height:P}),this._vbarYMin=D+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+O+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==D&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(U,t,t._definedDelta),t.rangebreaks){var gt=\"y\"===t._id.charAt(0),yt=1;\"auto\"===t.tickmode&&(yt=t.tickfont?t.tickfont.size:12);var mt=NaN;for(a=N.length-1;a>-1;a--)if(N[a].drop)N.splice(a,1);else{N[a].value=Ft(N[a].value,t);var xt=t.c2p(N[a].value);(gt?mt>xt-yt:mt<xt+yt)?N.splice(v?a+1:a,1):mt=xt}}Rt(t)&&360===Math.abs(d[1]-d[0])&&N.pop(),t._tmax=(N[N.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var bt,_t=function(e){e.text=\"\",t._prevDateHead=o};function wt(t,e){var r=W.tickText(t,e.value,!1,e.simpleLabel),n=e.periodX;return void 0!==n&&(r.periodX=n,(n>z||n<I)&&(n>z&&(r.periodX=z),n<I&&(r.periodX=I),_t(r))),r}for(N=N.concat(j),a=0;a<N.length;a++){var 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o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(bt(t.exponentformat)&&!_t(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function mt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}W.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*gt(e,n,ut);else if(o>T)e/=T,t.dtick=\"M\"+gt(e,1,ct);else if(o>M){if(t.dtick=gt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ht),!r){var l=W.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=gt(e,E,ct):o>L?t.dtick=gt(e,L,ft):o>C?t.dtick=gt(e,C,ft):(n=a(10),t.dtick=gt(e,n,ut))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+gt(e,n,ut)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Rt(t)?(t.tick0=0,n=1,t.dtick=gt(e,n,vt)):(t.tick0=0,n=a(10),t.dtick=gt(e,n,ut));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: 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a=t._tickround,o=r&&t.hoverformat||W.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf(\"\\n\");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||\"00:00:00\"!==u&&\"00:00\"!==u?8===u.length&&(u=u.replace(/:00$/,\"\")):(u=l,l=\"\")),l)if(r)\"d\"===a?u+=\", \"+l:u=l+(u?\", \"+u:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=Bt(t),h=t._trueSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(u+=\"<br> \")}else t._prevDateHead=l,u+=\"<br>\"+l;e.text=u}(t,o,r,u):\"log\"===c?function(t,e,r,n,a){var o=t.dtick,l=e.x,u=t.tickformat,c=\"string\"==typeof o&&o.charAt(0);if(\"never\"===a&&(a=\"\"),n&&\"L\"!==c&&(o=\"L3\",c=\"L\"),u||\"L\"===c)e.text=wt(Math.pow(10,l),t,a,n);else if(i(o)||\"D\"===c&&s.mod(l+.01,1)<.1){var f=Math.round(l),h=Math.abs(f),p=t.exponentformat;\"power\"===p||bt(p)&&_t(f)?(e.text=0===f?1:1===f?\"10\":\"10<sup>\"+(f>1?\"\":I)+h+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&h>2?e.text=\"1\"+p+(f>0?\"+\":I)+h:(e.text=wt(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==c)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,u,g):\"category\"===c?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\"),e.text=String(r)}(t,o):\"multicategory\"===c?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - 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k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,O=L,P=Math.abs(E-L),I=L-P*h*1.0001,D=L+P*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>O&&(O=F);h/=(O-C)/(2*P),C=l.l2r(C),O=l.l2r(O),l.range=l._input.range=S<E?[C,O]:[O,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},51184:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=i.numberFormat,o=r(49760),s=r(89184),l=r(24040),u=i.strTranslate,c=r(72736),f=r(76308),h=r(43616),p=r(93024),d=r(54460),v=r(93972),g=r(86476),y=r(72760),m=y.selectingOrDrawing,x=y.freeMode,b=r(84284).FROM_TL,_=r(73696),w=r(39172).redrawReglTraces,T=r(7316),k=r(79811).getFromId,A=r(22676).prepSelect,M=r(22676).clearOutline,S=r(22676).selectOnClick,E=r(21160),L=r(33816),C=L.MINDRAG,O=L.MINZOOM,P=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){P&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),P=!1)}function G(t){var 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0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var P,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(P=e.xaxis,I=e.yaxis,tt=P._length,et=I._length,$=P._offset,Q=I._offset,(V={})[P._id]=P,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=z(K,y),at=z(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Ot={element:bt,gd:t,plotinfo:e};function Pt(){Ot.plotinfo.selection=!1,M(t)}function It(t,r){var i=Ot.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Ot),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:P,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>O||o>O?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>O||o>O){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),O)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-O-.5)+\"h-3v\"+(2*O+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-O-.5)+\"h3v\"+(2*O+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,O)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-O-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*O+1)+\"v3ZM\"+(e-O-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*O+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),q(t),Gt(),H(t)}Ot.prepFn=function(e,r,n){var a=Ot.dragmode,s=t._fullLayout.dragmode;s!==a&&(Ot.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Ot.minDrag=1:Ot.minDrag=void 0,m(s)?(Ot.xaxes=K,Ot.yaxes=J,A(e,r,n,Ot,s)):(Ot.clickFn=It,m(a)&&Pt(),ot||(\"zoom\"===s?(Ot.moveFn=Dt,Ot.doneFn=Rt,Ot.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Ot.moveFn=Ut,Ot.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Ot.moveFn(e.dx,e.dy))}}},g.init(Ot);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var 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n=r(33428),i=r(83356),a=i.geoPath,o=i.geoDistance,s=r(87108),l=r(24040),u=r(3400),c=u.strTranslate,f=r(76308),h=r(43616),p=r(93024),d=r(7316),v=r(54460),g=r(19280).getAutoRange,y=r(86476),m=r(22676).prepSelect,x=r(22676).clearOutline,b=r(22676).selectOnClick,_=r(79248),w=r(79552),T=r(27144),k=r(59972),A=r(55712).NO;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var 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c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var 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o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],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()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),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.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],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.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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\"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,O=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,D=null,z=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==D?t[i.id+\".radialaxis.angle\"]=D:null!==z&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=z)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==D?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",D):null!==z&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",z)}function H(t,e){if(0!==r){var n=b+t,a=_+e;D=Math.atan2(d-a,n-p),i.vangles&&(D=U(D,i.vangles)),D=F(D);var o=l(p,d)+s(-D);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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v.coerceEnumerated(x,r)}(z,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],z),G=d.getInsideTextFont(z,i,q,H),W=d.getOutsideTextFont(z,i,q),Y=z.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&X.s0<=0&&(f=P.range[0]<P.range[1]?P._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=D(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=D(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=z.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"outside\"===z.constraintext,angle:lt}):O(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"inside\"===z.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===z.type?\"bar\":z.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,P,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,z,e,g)},toMoveInsideBar:O}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},60100:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(43616),o=r(3400),s=r(24040),l=r(82744).resizeText,u=r(20832),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(60444);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=_(e,r);a=m(r,e.i,i,o)}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86040:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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P=C.selectAll(\"text\").data(O);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}P.enter().append(\"text\"),P.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),P.exit().remove();var D,z=v.mode+v.align;if(v._hasDelta&&(D=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((y+g)/2-t/2*(g-y)).outerRadius((y+g)/2+t/2*(g-y)).startAngle(-E)}function O(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var P=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},I={},D=d.makeLabelFns(o,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*D},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(D+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*c)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return z(P(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=P(t);return z(e)+\"rotate(\"+-u(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:I})}var F=[m].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(O).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(O).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(O).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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P=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?P.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll(\"g.threshold-bullet\").data(I);D.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),D.select(\"line\").attr(\"x1\",i.c2p(c.gauge.threshold.value)).attr(\"x2\",i.c2p(c.gauge.threshold.value)).attr(\"y1\",(1-c.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style(\"stroke-width\",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll(\"g.gauge-outline\").data([g]);z.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),z.select(\"rect\").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var K=I.selectAll(\"text.title\").data(e);K.exit().remove(),K.enter().append(\"text\").classed(\"title\",!0),K.attr(\"text-anchor\",(function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},74212:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(27260),o=r(52948);t.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}u([\"x\",\"y\",\"z\"])?(u([\"i\",\"j\",\"k\"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],s),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach((function(t){l(t)})),l(\"contour.show\")&&(l(\"contour.color\"),l(\"contour.width\")),\"intensity\"in 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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o=r(\"x\"),s=r(\"open\"),l=r(\"high\"),u=r(\"low\"),c=r(\"close\");if(r(\"hoverlabel.split\"),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\"],a),s&&l&&u&&c){var f=Math.min(s.length,l.length,u.length,c.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},36664:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400);t.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var u=a.tickLen,c=e.selectAll(\"path\").data(i.identity);c.enter().append(\"path\"),c.exit().remove(),c.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-u,!0),r=s.c2p(t.pos+u,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},97384:function(t){\"use strict\";t.exports=function(t,e){var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",O).on(\"drag\",P).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,c=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,f=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,h=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u,textcase:c,lineposition:f,shadow:h}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=O(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function O(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=O(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=O(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+O(i.px0,i.pxmid,!0,1)+O(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+O(i.px0,i.pxmid,!1,k)+O(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=O(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+O(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function O(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),O=(.5*S-v.r)/h.w,P=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-O,xr:M.x[1]+O,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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r.update(e),r}},41904:function(t,e,r){\"use strict\";var n=r(3400),i=r(35484);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof 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}},156:function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \"),t.exports={attributes:r(35484),supplyDefaults:r(41904),calc:r(41484),plot:r(11072),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:r(39952),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},41440:function(t,e,r){\"use strict\";var n=r(25376),i=r(45464),a=r(22548),o=r(55756),s=r(86968).u,l=r(21776).Ks,u=r(49084),c=r(31780).templatedArray,f=r(29736).descriptionOnlyNumbers,h=r(92880).extendFlat,p=r(67824).overrideAll;(t.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({autoShadowDflt:!0}),customdata:void 0,node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},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},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),align:{valType:\"enumerated\",values:[\"justify\",\"left\",\"right\",\"center\"],dflt:\"justify\"}},link:{arrowlen:{valType:\"number\",min:0,dflt:0},label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},hovercolor:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},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:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:c(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(u().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 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x=0;for(e=0;e<a.value.length;e++)a.source[e]>x&&(x=a.source[e]),a.target[e]>x&&(x=a.target[e]);var b,_=x+1;t.node._count=_;var w=t.node.groups,T={};for(e=0;e<w.length;e++){var k=w[e];for(b=0;b<k.length;b++){var A=k[b],M=_+e;T.hasOwnProperty(A)?i.warn(\"Node \"+A+\" is already part of a group.\"):T[A]=M}}var S={source:[],target:[]};for(e=0;e<a.value.length;e++){var E=a.value[e],L=a.source[e],C=a.target[e];if(E>0&&s(L,_)&&s(C,_)&&(!T.hasOwnProperty(L)||!T.hasOwnProperty(C)||T[L]!==T[C])){T.hasOwnProperty(C)&&(C=T[C]),T.hasOwnProperty(L)&&(L=T[L]),C=+C,p[L=+L]=p[C]=!0;var O=\"\";a.label&&a.label[e]&&(O=a.label[e]);var P=null;O&&d.hasOwnProperty(O)&&(P=d[O]),u.push({pointNumber:e,label:O,color:c?a.color[e]:a.color,hovercolor:f?a.hovercolor[e]:a.hovercolor,customdata:h?a.customdata[e]:a.customdata,concentrationscale:P,source:L,target:C,value:+E}),S.source.push(L),S.target.push(C)}}var I=_+w.length,D=o(r.color),z=o(r.customdata),R=[];for(e=0;e<I;e++)if(p[e]){var F=r.label[e];R.push({group:e>_-1,childrenNodes:[],pointNumber:e,label:F,color:D?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var B=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,S.source,S.target)&&(B=!0),{circular:B,links:u,nodes:R,groups:w,groupLookup:T}}(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},11820:function(t){\"use 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n.coerce(v,g,i.node,t,e)}y(\"label\"),y(\"groups\"),y(\"x\"),y(\"y\"),y(\"pad\"),y(\"thickness\"),y(\"line.color\"),y(\"line.width\"),y(\"hoverinfo\",t.hoverinfo),l(v,g,y,d),y(\"hovertemplate\"),y(\"align\");var m=h.colorway;y(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return m[t%m.length]}(e),.8)}))),y(\"customdata\");var x=t.link||{},b=u.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"arrowlen\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333,k=_(\"color\",T?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\");function A(t){var e=o(t);if(!e.isValid())return t;var r=e.getAlpha();return 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x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),fontWeight:_(o,\"font.weight\"),fontStyle:_(o,\"font.style\"),fontVariant:_(o,\"font.variant\"),fontTextcase:_(o,\"font.textcase\"),fontLineposition:_(o,\"font.lineposition\"),fontShadow:_(o,\"font.shadow\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var O=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-O/2,A.nodes[w].y1=C[1]+O/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function O(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=v.SYMBOL_SDF_SIZE,M=v.SYMBOL_SIZE,S=v.SYMBOL_STROKE,E={},L=u.symbolFuncs[0](.05*M);function C(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=u.symbolNumber(a),s=u.symbolFuncs[o%100],l=!!u.symbolNoDot[o%100],c=!!u.symbolNoFill[o%100],f=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var h=u.getMarkerAngle(t,e);return r=f&&!l?s(1.1*M,h)+L:s(M,h),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:c?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,O=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var P=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(P,I)&&w<=Math.max(P,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,O){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,O=L.t,P=O.index,I=C._length,D=O.x,z=O.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[P]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[P]=B}var N=O.xpx=new Array(I),j=O.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else O.xpx=O.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(6096),s=r(52904),l=r(5232),u=r(45464),c=r(49084),f=r(92880).extendFlat,h=r(67824).overrideAll,p=r(5232),d=o.line,v=o.marker;t.exports=h({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:f({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:f({},v.opacity,{dflt:1})},mode:f({},s.mode,{dflt:\"markers\"}),text:f({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:f({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:f({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:v.opacity,size:v.size,sizeref:v.sizeref,sizemin:v.sizemin,sizemode:v.sizemode},c(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:f({},u.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},79732:function(t){\"use 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k=b[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:b},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(m=f.size,m/2),mo:v||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)}}(e);O.geojson=D.geojson,O.layout.visibility=\"visible\",E&&(O.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":b(a.cluster.color,a.cluster.step),\"circle-radius\":b(a.cluster.size,a.cluster.step),\"circle-opacity\":b(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":_(a),\"text-size\":12}}),i.extendFlat(O.paint,{\"circle-color\":D.mcc,\"circle-radius\":D.mrc,\"circle-opacity\":D.mo})}if(M&&E&&(O.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):m,u=\"auto\"!==s?y(s,!0):m,f=c.hasText(n)?y(n.text):m,h=[],g=0;g<t.length;g++){var b=t[g];if(!x(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(b,n,r),A={};p(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(g);_&&(_=_.replace(d,\"\").replace(v,\"\\n\")),h.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(g),angle:u(g),text:_}})}}return{type:\"FeatureCollection\",features:h}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var z=(a.marker||{}).size,R=h(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":_(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},15752:function(t,e,r){\"use strict\";var n=r(3400),i=r(43028),a=r(74428),o=r(66828),s=r(124),l=r(70840),u=r(31512),c=r(79732).isSupportedFont;t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=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(d){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),i.hasMarkers(e)){a(t,e,r,f,h,{noLine:!0,noAngle:!0}),h(\"marker.allowoverlap\"),h(\"marker.angle\");var v=e.marker;\"circle\"!==v.symbol&&(n.isArrayOrTypedArray(v.size)&&(v.size=v.size[0]),n.isArrayOrTypedArray(v.color)&&(v.color=v.color[0]))}i.hasLines(e)&&(o(t,e,r,f,h,{noDash:!0}),h(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),m=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),b=p(\"cluster.opacity\");if(h(\"cluster.enabled\",!1!==g||!1!==y||!1!==m||!1!==x||!1!==b)||i.hasText(e)){var _=f.font.family;s(t,e,f,h,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:c(_)?_:\"Open Sans Regular\",weight:f.font.weight,style:f.font.style,size:f.font.size,color:f.font.color}})}h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},37920:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},11960:function(t,e,r){\"use strict\";var n=r(54460);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},63312:function(t,e,r){\"use strict\";var n=r(93024),i=r(3400),a=r(44928),o=i.fillText,s=r(39032).BADNUM,l=r(47552).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(c,b),t.extraText=u(c,b,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:u}},11572:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},O=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=O(A[1]).length,F=O(A[3]).length,B=O(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(C(A[1])),V=P(C(A[3])),q=P(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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C=Math.max(l(e.header.line.width),l(e.cells.line.width)),O={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\"__\"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return O.columns.forEach((function(t){t.calcdata=O,t.x=h(t)})),O}},53056:function(t,e,r){\"use strict\";var n=r(92880).extendFlat;e.splitToPanels=function(t){var 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m(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return f(e,E(t))}));var o=a.selectAll(\".\"+n.cn.scrollbar).data(s.repeat,s.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=o.selectAll(\".\"+n.cn.scrollbarSlider).data(s.repeat,s.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return f(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(s.repeat,s.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var c=o.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(s.repeat,s.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,O=0|o[7],P=8191&O,I=O>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(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(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,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(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(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(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,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(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,K)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|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(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(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(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(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(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Ot=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Pt=(u+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Ot,l[16]=Pt,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=ArrayBuffer,c=DataView;function f(t){return Array.isArray(t)||function(t){return u.isView(t)&&!(t instanceof c)}(t)}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function v(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?f(a)&&f(a[0]):f(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(f(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,h=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var v=0;v<3;++v)p[d][v]!==this.bounds[d][v]&&(h=!0),this.bounds[d][v]=p[d][v];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,c=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],m=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||c)&&this._text.update(this.bounds,this.labels,y,this.ticks,m):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,m),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new v,new v,new v];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var m=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var b=[0,0,0],_=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),c=u.cubeEdges,f=u.axis,p=n[12],d=n[13],v=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*v+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=f[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,c,f);e=this.gl;var S,E,L,C=m;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=f[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var O=[0,0,0];f[A]>0?O[A]=a[1][A]:O[A]=a[0][A];for(var P=0;P<2;++P){var I=(A+1+P)%3,D=(A+1+(1^P))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,O,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(P=0;P<2;++P)I=(A+1+P)%3,D=(A+1+(1^P))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,O,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=h(b,M[A].primalMinor),R=h(_,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];z[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=h(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);o(u[I],u[O],u[P],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[O],l[P],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var O=m?5:4;for(L=O;L===O;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var P=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(P[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],O=v[x],P=n.length(O)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var D=a.positions.length;a.cells.push([D-6,D-5,D-4],[D-3,D-2,D-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var O,P;l?(O=x*(o[C]-c),P=x*(o[C+1]-c)):(O=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),P=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*O+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,O=t.vertexIntensity,P=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!P)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<O.length;++R){var F=O[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=O||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){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,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(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}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=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:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),O=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,O,P,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,O=6*f[0].length,P=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*P,z=6*Math.max(0,I-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=O+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[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,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],O=[],P=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=O.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,O.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),O.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),P=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),P=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<O.length;++t)O[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=O.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,P=P||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,P=P||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,P=P||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=O.length,n=0;n<e;++n){var i=O[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return h.isView(t)&&!(t instanceof p)}(t)}function v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return v(n,n),v(n,n),v(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new x(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var b=x.prototype;b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},b.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var _=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=f.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function L(t){return t[0]=t[1]=t[2]=0,t}function C(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function O(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],_[0]=2/o.drawingBufferWidth,_[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=_,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var y=M,m=0;m<16;++m)y[m]=0;for(m=0;m<4;++m)y[5*m]=1;y[5*v]=0,i[v]<0?y[12+v]=p[0][v]:y[12+v]=p[1][v],s(y,u,y),l.model=y;var x=(v+1)%3,b=(v+2)%3,P=L(w),I=L(T);P[x]=1,I[b]=1;var D=g(0,0,0,C(k,P)),z=g(0,0,0,C(A,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=P,P=I,I=R;var F=x;x=b,b=F}D[0]<0&&(P[x]=-1),z[1]>0&&(I[b]=-1);var B=0,N=0;for(m=0;m<4;++m)B+=Math.pow(u[4*x+m],2),N+=Math.pow(u[4*b+m],2);P[x]/=Math.sqrt(B),I[b]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=I,l.fragClipBounds[0]=O(S,d[0],v,-1e8),l.fragClipBounds[1]=O(S,d[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,_[0]=2/l.drawingBufferWidth,_[1]=2/l.drawingBufferHeight,u.screenSize=_,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=P,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function D(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1),r||(r={});var s=r.family;d(s)&&(s=s[e]),s||(s=\"normal\");var l=r.weight;d(l)&&(l=l[e]),l||(l=\"normal\");var f=r.style;d(f)&&(f=f[e]),f||(f=\"normal\");var h=r.variant;d(h)&&(h=h[e]),h||(h=\"normal\");var p=u(a,{family:s,weight:l,style:f,variant:h},i);return{mesh:(p=u(a,r,i))[0],lines:p[1],bounds:p[2],visible:o}}b.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},b.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},b.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},b.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},b.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]},b.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"normal\"},u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,v=t.size,g=t.angle,y=t.lineColor,x=-1,b=0,_=0,w=0;if(s.length){w=s.length;t:for(n=0;n<w;++n){for(var T=s[n],k=0;k<3;++k)if(isNaN(T[k])||!isFinite(T[k]))continue t;var A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;b+=3*A.cells.length,_+=2*M.edges.length}}var E=b+_,L=o.mallocFloat(3*E),C=o.mallocFloat(4*E),O=o.mallocFloat(2*E),P=o.mallocUint32(E);if(E>0){var I=0,z=b,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n<w;++n){for(x+=1,T=s[n],k=0;k<3;++k){if(isNaN(T[k])||!isFinite(T[k]))continue t;f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k])}A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;var j,U=j.visible;if(U)if(d(p)){if(3===(V=B?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)R[k]=V[k];R[3]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];if(U)if(d(y)){var V;if(3===(V=N?n<y.length?y[n]:[0,0,0,0]:y).length){for(k=0;k<3;++k)F[k]=V[k];F[k]=1}else if(4===V.length){for(k=0;k<4;++k)F[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else F[0]=F[1]=F[2]=0,F[3]=1;else F=[1,1,1,0];var q=.5;U?d(v)?q=n<v.length?+v[n]:12:v?q=+v:this.useOrtho&&(q=12):q=0;var H=0;d(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var G=Math.cos(H),W=Math.sin(H);for(T=s[n],k=0;k<3;++k)f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k]);var Y=i,X=a;Y=0,d(i)?Y=n<i.length?i[n]:0:i&&(Y=i),X=0,d(a)?X=n<a.length?a[n]:0:a&&(X=a);var Z=[Y*=Y>0?1-S[0][0]:Y<0?1+S[1][0]:1,X*=X>0?1-S[0][1]:X<0?1+S[1][1]:1],K=A.cells||[],J=A.positions||[];for(k=0;k<K.length;++k)for(var $=K[k],Q=0;Q<3;++Q){for(var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],O=(l-M)/(S-M),P=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(O)||(O=.5),isFinite(P)||(P=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,O),n.lerp(q,z,N,O),n.lerp(H,R,j,O),n.lerp(G,F,U,O);var W=n.create(),Y=n.create();n.lerp(W,V,H,P),n.lerp(Y,q,G,P);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var O=[C],P=[],I=d(C),D=C;P.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:O,velocities:P,divergences:z});for(var B=0;B<100*u&&O.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(O.push(N),D=N,P.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],O={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,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=O.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=O.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return O.showSurface=o,O.showContour=s,O}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[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||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=P(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(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 j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=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]*this.pixelRatio),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]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,O=Math.sqrt(E*E+L*L+C*C);O<1e-8?(O=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,O=1):O=1/O:O=1/Math.sqrt(O),b.set(o,y,0,E*O),b.set(o,y,1,L*O),b.set(o,y,2,C*O)}s.free(x.data);var P=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[P,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.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)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,O=k*E,P=T*L,I=T*E,D=C*f.get(_,M)+O*f.get(_,S)+P*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+O*p.get(_,S)+P*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(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),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(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()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(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 h(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=h.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 v(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 g(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=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(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 f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(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 l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?Pn(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?Pn(Cn(t[1],t.slice(2))):\"has\"===r?On(t[1]):\"!has\"===r?Pn(On(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function On(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Oi=function(){return Mi},Pi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.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 ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.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 Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.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},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(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($s,this,e),this.length=this._features.length}function $s(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 Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),O=0;O<C.length;O+=3)this.indexArray.emplaceBack(k+C[O],k+C[O+2],k+C[O+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,O=A+h,P=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,O/I);z.z=P/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),O=k?C:0,P=k?0:C;if(p&&this.addCurrentVertex(c,v,O,P,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-O,-P,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Ol(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Ol(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,O=null,P=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,O={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=O.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)P=j.rect,O=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;O=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=O.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=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 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Ou(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Pu(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(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)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Oa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Oi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var O=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||O,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,O=b.isSDF,P=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,O,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,O,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,O,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,O,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Oc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=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]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Pc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=6371008.8,Dc=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\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Oc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Oc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Oo(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Oi()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.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)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Pc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Pl,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],O=f.points[C];O.zoom<=e||(O.zoom=e,r.push(O))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),O=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:O,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Ot=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Ot.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ot.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ot.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Ot.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Ot.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},Ot.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Ot.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Ot.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ot.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)},Ot.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)},Ot.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ot.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={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 Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),O=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),P=se(e.writingMode,S,O,d);if(P)return P}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],O=E.path.length-1;O>=1;O--)C.push(E.path[O]);for(var P=1;P<L.path.length;P++)C.push(L.path[P]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},O=null,P=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;O=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||O.circles.length>0&&!O.collisionDetected,S=S&&O.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(P=Z(a.verticalIconBox)).box.length>0:(P=Z(a.iconBox)).box.length>0,S=S&&P.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),O&&(T&&i.collisionIndex.insertCollisionCircles(O.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<O.circles.length;tt+=4)Q.circles.push(O.circles[tt+0]),Q.circles.push(O.circles[tt+1]),Q.circles.push(O.circles[tt+2]),Q.circles.push(O.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var O=this.collisionCircleArrays[o.bucketInstanceId];t.invert(O.invProjMatrix,l),O.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var O=C?L:ze;d(e.icon,a.numIconVertices,O),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=C?ze:L;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Oe=Math.pow(2,9),Pe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Oe+e*Pe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));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._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Or=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,O=E.circleArray[C+0],P=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,O,P,I,D,0),k.emplace(A++,O,P,I,D,1),k.emplace(A++,O,P,I,D,2),k.emplace(A++,O,P,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,O=0;O<C.length;O++){var P=C.get(O);if(P.hidden)he(P.numGlyphs,d);else{var I=v[O];if(I)for(var D=0;D<P.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var O=C.programConfigurations.get(n.id),P=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(P,a,L),O),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:P?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Or(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,O=S.indexBuffer,P=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,P,n.id,C,O,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var O=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var P=w.gradients[n.id],I=P.texture;if(n.gradientVersion!==P.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(v,P.gradient,g.RGBA),P.version=n.gradientVersion,I=P.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,O,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Ot(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var On=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};On.prototype.clone=function(){var t=new On(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},On.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},On.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},On.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},On.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},On.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},On.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},On.prototype.zoomScale=function(t){return Math.pow(2,t)},On.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},On.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},On.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},On.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},On.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},On.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},On.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},On.prototype.coordinateLocation=function(t){return t.toLngLat()},On.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},On.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},On.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},On.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},On.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},On.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},On.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},On.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},On.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},On.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},On.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},On.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(On.prototype,Pn);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=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),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var O=E(0),P=function(t){return C(O)/C(O+_*t)},I=function(t){return w*((C(O)*(L(e=O+_*t)/C(e))-L(O))/S)/k;var e},D=(E(1)-O)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},P=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/P(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<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),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Oi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new On(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Oi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Xi--,Zi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),O=c.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,I=0;P<this.counts.length;P++){for(var D=this.counts[P],z=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],O[2*I]=z.width[B],F){var j=O[2*I-2],U=O[2*I],V=O[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}O[2*I+1]=V}else O[2*I+1]=.5*O[2*I];I++}this.textWidth.push(O.length?.5*O[2*I-2]+O[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:O,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(O),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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:\"\\nprecision highp float;\\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 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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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\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,O=L.color,P=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(O.length||P.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=O[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=P[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(O.length||P.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=O[F]&&(E[4*F]=O[F]%f,E[4*F+1]=Math.floor(O[F]/f)),null!=P[F]&&(E[4*F+2]=P[F]%f,E[4*F+3]=Math.floor(P[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],O=E[2],P=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+O*y-S[2],b+P*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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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 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);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 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;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 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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},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=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(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,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 u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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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);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.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,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.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=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,u.local.invalidMonth||u.regionalOptions[\"\"].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 n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize by plotting coils\n",
    "fig = plot_3d(\n",
    "    eq.surface, \"B*n\", grid=LinearGrid(M=40, N=30, endpoint=True), field=coilset\n",
    ")\n",
    "fig = plot_coils(coilset, fig=fig)\n",
    "fig.show()"
   ]
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   "cell_type": "markdown",
   "id": "844a871b-ae84-4e12-9c12-7067bf39d9d3",
   "metadata": {},
   "source": [
    "### Helical"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d295b535-87e4-49fc-b81f-15ac645be3c8",
   "metadata": {},
   "source": [
    "Helical coil cutting is just as easy as modular, with the same exact function call:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a42789ec-94e3-416d-9ee1-d7197d87fa12",
   "metadata": {},
   "outputs": [],
   "source": [
    "coilset_helical = surface_current_field_helical.to_CoilSet(\n",
    "    num_coils=16, show_plots=False\n",
    ")\n",
    "# num_coils is the total number of coils when the surface current helicity's N_coil and M_coil are nonzero, so we\n",
    "# will get 16 coils total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "390a0e08-4a55-463c-8d63-1c572ed891c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 6.699e+00 seconds\n",
      "normalized average <Bn> = 0.0004804562855410313\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "t1 = time.time()\n",
    "Bn, _ = coilset_helical.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "58ee5a69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 4.376e-01 seconds\n",
      "normalized average <Bn> = 0.0004889286826583805\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "coilset_helical = coilset_helical.to_FourierXYZ(N=30)\n",
    "t1 = time.time()\n",
    "Bn, _ = coilset_helical.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3409826f-6175-4d1e-b2ae-7c34d35c8fb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AwECELAAAAAAwECELAAAAAAxEyAIAAAAAAxGyAAAAAMBAhCwAAAAAMND/A8w+TkVPn/O9AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 864.648x720.54 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Field line integration (on a CPU this can take a a minute)\n",
    "plot_field_lines(coilset_helical, eq);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c08f8e73-b518-4ef9-b288-3b17dd0ca90c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "colorbar": {
          "title": {
           "text": "𝐁·n̂ (T)"
          }
         },
         "colorscale": [
          [
           0,
           "rgb(5,48,97)"
          ],
          [
           0.1,
           "rgb(33,102,172)"
          ],
          [
           0.2,
           "rgb(67,147,195)"
          ],
          [
           0.3,
           "rgb(146,197,222)"
          ],
          [
           0.4,
           "rgb(209,229,240)"
          ],
          [
           0.5,
           "rgb(247,247,247)"
          ],
          [
           0.6,
           "rgb(253,219,199)"
          ],
          [
           0.7,
           "rgb(244,165,130)"
          ],
          [
           0.8,
           "rgb(214,96,77)"
          ],
          [
           0.9,
           "rgb(178,24,43)"
          ],
          [
           1,
           "rgb(103,0,31)"
          ]
         ],
         "flatshading": true,
         "i": [
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",
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   "source": [
    "# visualize by plotting coils\n",
    "fig = plot_3d(\n",
    "    eq, \"B*n\", grid=LinearGrid(M=40, N=30, endpoint=True), field=coilset_helical\n",
    ")\n",
    "\n",
    "fig = plot_coils(coilset_helical, fig=fig)\n",
    "fig.show()"
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   "source": [
    "These coils can then be used as the initial guesses for a filamentary coil optimization (see the tutorial on stage two filamentery coil optimization!) to refine the solution and reduce the Bn error further, as well as accounting for engineering tolerances. "
   ]
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