{
 "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 `solve_regularized_surface_current` function 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": "markdown",
   "id": "7a036da3",
   "metadata": {},
   "source": [
    "If you have access to a GPU, uncomment the following two lines before any DESC or JAX related imports. You should see about an order of magnitude speed improvement with only these two lines of code!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce105023",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from desc import set_device\n",
    "# set_device(\"gpu\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9fdf34f",
   "metadata": {},
   "source": [
    "As mentioned in [DESC Documentation on performance tips](https://desc-docs.readthedocs.io/en/latest/performance_tips.html), one can use compilation cache directory to reduce the compilation overhead time. Note: One needs to create `jax-caches` folder manually."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b1f3311",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import jax\n",
    "\n",
    "# jax.config.update(\"jax_compilation_cache_dir\", \"../jax-caches\")\n",
    "# jax.config.update(\"jax_persistent_cache_min_entry_size_bytes\", -1)\n",
    "# jax.config.update(\"jax_persistent_cache_min_compile_time_secs\", 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "90560dc3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DESC version 0.13.0+702.ge6b8a02dc,using JAX backend, jax version=0.4.33, jaxlib version=0.4.33, dtype=float64\n",
      "Using device: CPU, with 53.74 GB available memory\n"
     ]
    }
   ],
   "source": [
    "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",
    "    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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",
      "text/plain": [
       "<Figure size 1151.64x959.698 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 `solve_regularized_surface_current` Function"
   ]
  },
  {
   "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 `solve_regularized_surface_current` function along with 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 `solve_regularized_surface_current` function 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 = 1.05428e-10\n",
      "min Bnormal = 1.22133e-17 (T)\n",
      "Max Bnormal = 1.07518e-07 (T)\n",
      "Avg Bnormal = 1.21751e-08 (T)\n",
      "min Bnormal = 1.17885e-17 (unitless)\n",
      "Max Bnormal = 1.03778e-07 (unitless)\n",
      "Avg Bnormal = 1.17516e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n",
      "##########################################################\n",
      "chi^2 B = 1.05428e-10\n",
      "min Bnormal = 1.19215e-17 (T)\n",
      "Max Bnormal = 1.07518e-07 (T)\n",
      "Avg Bnormal = 1.21751e-08 (T)\n",
      "min Bnormal = 1.15068e-17 (unitless)\n",
      "Max Bnormal = 1.03778e-07 (unitless)\n",
      "Avg Bnormal = 1.17516e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n",
      "##########################################################\n",
      "chi^2 B = 1.05428e-10\n",
      "min Bnormal = 1.25983e-17 (T)\n",
      "Max Bnormal = 1.07518e-07 (T)\n",
      "Avg Bnormal = 1.21751e-08 (T)\n",
      "min Bnormal = 1.21601e-17 (unitless)\n",
      "Max Bnormal = 1.03779e-07 (unitless)\n",
      "Avg Bnormal = 1.17516e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n",
      "##########################################################\n",
      "chi^2 B = 1.05428e-10\n",
      "min Bnormal = 1.28151e-17 (T)\n",
      "Max Bnormal = 1.07519e-07 (T)\n",
      "Avg Bnormal = 1.21751e-08 (T)\n",
      "min Bnormal = 1.23694e-17 (unitless)\n",
      "Max Bnormal = 1.03779e-07 (unitless)\n",
      "Avg Bnormal = 1.17516e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n",
      "##########################################################\n",
      "chi^2 B = 1.05429e-10\n",
      "min Bnormal = 1.21176e-17 (T)\n",
      "Max Bnormal = 1.07548e-07 (T)\n",
      "Avg Bnormal = 1.21744e-08 (T)\n",
      "min Bnormal = 1.16961e-17 (unitless)\n",
      "Max Bnormal = 1.03807e-07 (unitless)\n",
      "Avg Bnormal = 1.17510e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n",
      "##########################################################\n",
      "chi^2 B = 1.05593e-10\n",
      "min Bnormal = 1.26665e-17 (T)\n",
      "Max Bnormal = 1.08092e-07 (T)\n",
      "Avg Bnormal = 1.21851e-08 (T)\n",
      "min Bnormal = 1.22259e-17 (unitless)\n",
      "Max Bnormal = 1.04332e-07 (unitless)\n",
      "Avg Bnormal = 1.17613e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n",
      "##########################################################\n",
      "chi^2 B = 1.11467e-10\n",
      "min Bnormal = 1.23538e-17 (T)\n",
      "Max Bnormal = 1.11638e-07 (T)\n",
      "Avg Bnormal = 1.30415e-08 (T)\n",
      "min Bnormal = 1.19241e-17 (unitless)\n",
      "Max Bnormal = 1.07755e-07 (unitless)\n",
      "Avg Bnormal = 1.25879e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n",
      "##########################################################\n",
      "chi^2 B = 2.63329e-10\n",
      "min Bnormal = 1.16163e-17 (T)\n",
      "Max Bnormal = 1.44278e-07 (T)\n",
      "Avg Bnormal = 2.09787e-08 (T)\n",
      "min Bnormal = 1.12123e-17 (unitless)\n",
      "Max Bnormal = 1.39259e-07 (unitless)\n",
      "Avg Bnormal = 2.02490e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n",
      "##########################################################\n",
      "chi^2 B = 2.80603e-09\n",
      "min Bnormal = 1.24893e-17 (T)\n",
      "Max Bnormal = 2.53538e-07 (T)\n",
      "Avg Bnormal = 6.32636e-08 (T)\n",
      "min Bnormal = 1.20549e-17 (unitless)\n",
      "Max Bnormal = 2.44719e-07 (unitless)\n",
      "Avg Bnormal = 6.10632e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n",
      "##########################################################\n",
      "chi^2 B = 1.97734e-07\n",
      "min Bnormal = 1.25008e-17 (T)\n",
      "Max Bnormal = 2.13019e-06 (T)\n",
      "Avg Bnormal = 5.86747e-07 (T)\n",
      "min Bnormal = 1.20660e-17 (unitless)\n",
      "Max Bnormal = 2.05610e-06 (unitless)\n",
      "Avg Bnormal = 5.66339e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n",
      "##########################################################\n",
      "chi^2 B = 5.90117e-05\n",
      "min Bnormal = 1.26103e-17 (T)\n",
      "Max Bnormal = 3.47290e-05 (T)\n",
      "Avg Bnormal = 1.20772e-05 (T)\n",
      "min Bnormal = 1.21717e-17 (unitless)\n",
      "Max Bnormal = 3.35211e-05 (unitless)\n",
      "Avg Bnormal = 1.16571e-05 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n",
      "##########################################################\n",
      "chi^2 B = 8.86333e-03\n",
      "min Bnormal = 1.26784e-17 (T)\n",
      "Max Bnormal = 3.88172e-04 (T)\n",
      "Avg Bnormal = 1.36290e-04 (T)\n",
      "min Bnormal = 1.22374e-17 (unitless)\n",
      "Max Bnormal = 3.74670e-04 (unitless)\n",
      "Avg Bnormal = 1.31549e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n",
      "##########################################################\n",
      "chi^2 B = 6.47004e-02\n",
      "min Bnormal = 1.30388e-17 (T)\n",
      "Max Bnormal = 1.06101e-03 (T)\n",
      "Avg Bnormal = 3.56171e-04 (T)\n",
      "min Bnormal = 1.25852e-17 (unitless)\n",
      "Max Bnormal = 1.02411e-03 (unitless)\n",
      "Avg Bnormal = 3.43782e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n",
      "##########################################################\n",
      "chi^2 B = 8.04639e-02\n",
      "min Bnormal = 1.27296e-17 (T)\n",
      "Max Bnormal = 1.19995e-03 (T)\n",
      "Avg Bnormal = 3.96788e-04 (T)\n",
      "min Bnormal = 1.22869e-17 (unitless)\n",
      "Max Bnormal = 1.15821e-03 (unitless)\n",
      "Avg Bnormal = 3.82987e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n",
      "##########################################################\n",
      "chi^2 B = 8.09561e-02\n",
      "min Bnormal = 1.24739e-17 (T)\n",
      "Max Bnormal = 1.20402e-03 (T)\n",
      "Avg Bnormal = 3.98017e-04 (T)\n",
      "min Bnormal = 1.20400e-17 (unitless)\n",
      "Max Bnormal = 1.16214e-03 (unitless)\n",
      "Avg Bnormal = 3.84173e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n",
      "##########################################################\n",
      "chi^2 B = 8.09677e-02\n",
      "min Bnormal = 1.27637e-17 (T)\n",
      "Max Bnormal = 1.20412e-03 (T)\n",
      "Avg Bnormal = 3.98046e-04 (T)\n",
      "min Bnormal = 1.23197e-17 (unitless)\n",
      "Max Bnormal = 1.16223e-03 (unitless)\n",
      "Avg Bnormal = 3.84201e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n",
      "##########################################################\n",
      "chi^2 B = 8.09680e-02\n",
      "min Bnormal = 1.30846e-17 (T)\n",
      "Max Bnormal = 1.20412e-03 (T)\n",
      "Avg Bnormal = 3.98047e-04 (T)\n",
      "min Bnormal = 1.26295e-17 (unitless)\n",
      "Max Bnormal = 1.16224e-03 (unitless)\n",
      "Avg Bnormal = 3.84202e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n",
      "##########################################################\n",
      "chi^2 B = 8.09680e-02\n",
      "min Bnormal = 1.29588e-17 (T)\n",
      "Max Bnormal = 1.20412e-03 (T)\n",
      "Avg Bnormal = 3.98047e-04 (T)\n",
      "min Bnormal = 1.25081e-17 (unitless)\n",
      "Max Bnormal = 1.16224e-03 (unitless)\n",
      "Avg Bnormal = 3.84202e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n",
      "##########################################################\n",
      "chi^2 B = 8.09680e-02\n",
      "min Bnormal = 1.27120e-17 (T)\n",
      "Max Bnormal = 1.20412e-03 (T)\n",
      "Avg Bnormal = 3.98047e-04 (T)\n",
      "min Bnormal = 1.22698e-17 (unitless)\n",
      "Max Bnormal = 1.16224e-03 (unitless)\n",
      "Avg Bnormal = 3.84202e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n",
      "##########################################################\n",
      "chi^2 B = 8.09680e-02\n",
      "min Bnormal = 1.28967e-17 (T)\n",
      "Max Bnormal = 1.20412e-03 (T)\n",
      "Avg Bnormal = 3.98047e-04 (T)\n",
      "min Bnormal = 1.24481e-17 (unitless)\n",
      "Max Bnormal = 1.16224e-03 (unitless)\n",
      "Avg Bnormal = 3.84202e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n",
      "##########################################################\n",
      "chi^2 B = 8.09680e-02\n",
      "min Bnormal = 1.22217e-17 (T)\n",
      "Max Bnormal = 1.20412e-03 (T)\n",
      "Avg Bnormal = 3.98047e-04 (T)\n",
      "min Bnormal = 1.17966e-17 (unitless)\n",
      "Max Bnormal = 1.16224e-03 (unitless)\n",
      "Avg Bnormal = 3.84202e-04 (unitless)\n"
     ]
    },
    {
     "data": {
      "image/png": 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AgEV5PdgMHTpUAwYMkCS5XC5vd98kCQkJ7tsh9O/fX7Nnz/ZxRQAAoCZeDzaLFy/Wyy+/rCuuuEKDBg1SRESEt0totMsvv1wPPvigr8sAAAD18PrJwyNGjNCsWbNUUVGhOXPmeKzdvLw8jR07Vjabrcbn58+fr7i4OCUlJemKK67QwYMHG9z2rl27NHv2bP3tb3/TF1984amSAQCAh3l9j83PP/+soKAgjR49WqNHj/ZIm9nZ2ZowYYIuuOCCGp9fsmSJpk2bpi+++EIOh0MPPfSQhg8fru3btysgoP5sd9999yk+Pl75+flKSEjQp59+qvbt23ukdgAA4Dk2wzAMb3Z433336ccff1RZWZkSEhI0adKkZreZk5OjiIgILVq0SOPHj9fpQ0pKStKAAQPce4gKCgrUsWNHrVy5UmlpaZKk5OTkau1GR0dr8eLFVZYlJyfr8ccf18UXX9yg2kpKShQSEqLi4mL3eToAAMAcXt9jc+WVV6pr167q2rWrvvrqK4+0GRUVVetz5eXl2rZtm7KystzLwsPDFRMTo02bNrmDzcaNG2t8/1dffaVPPvlEf/7zn+VyuXTkyBF17dq11v6cTqecTqf7cUlJSWOHAwAAmsjrwebFF1/Uiy++KEnq1auX6f3l5ubK6XRWO0m5Q4cOysnJqff9Z5xxhpYtW6Yff/xRhw4d0t/+9jdFRkbW+vrp06dr6tSpza4bAAA0nteDzYUXXiin0ym73etdV9OQo3BdunTRkiVLGtzmlClTdO+997ofl5SU+MWVXwAAWIHX08W3336r8ePHS5IGDBigW265xdT+HA6H7HZ7tftS5eXlKTo62uP92e32FhHaAABojbz+DTxq1CjFxcUpNDTUK5dOBwUFKT4+Xrt27XIvKygo0P79+5WUlGR6/wAAwHu8Po9NbGysPvzwQx07dkz9+vXzSp933XWXFi5cqBMnTkiS5s2bp759+yo1NdUr/QMAAO/w+h6b559/Xh06dNC9996rcePGafDgwc1us7i4WOnp6e6TgVNSUpSYmKgZM2ZIkkaOHKmcnBylpaUpODhY4eHhWrZsWYPmsAEAAP7D6/PYrFq1SkOGDJEkvfXWW8rMzPRm917HPDYAAHiP13dZHD16VHPnztXevXt18uRJb3cPAAAszKPBpqKiwv1zbTuCrr/+enXt2lV///vf1b17d092DwAAWjmPBZtnnnlGiYmJSk1N1ddff61vvvlGQ4cOrfa6p59+Wjt37tQNN9yg48ePe6p7AAAAzwUbwzC0detWrVixQitXrlRISEiNe23OPfdc3XDDDdqwYYP27t3rqe4BAAA8d1WUw+HQmjVrlJqaqokTJ2r58uXuy6t/zTAMRUZG6s477/RU1wAAAJI8GGz69eunt99+2z03TEZGhoqLi6u9bs2aNVq4cKFsNpsGDhyoG2+80VMlAACAVs7rl3tv3LhRMTExio6O1s6dO3XRRRd5s3uv43JvAAC8x+OXe69du1Zdu3ZVjx49tHXrVknSyZMn3bc0SE5OVteuXWW32y0fagAAgHd5PNjMnj1b//jHP3TPPffopptuUnZ2tnr06KG4uDgNGTJEpaWlnu4SAABAkgnBJiEhQaNGjdKNN96o1157TRMnTtSKFSt09OhR9erVS4888oinuwQAAJBkQrBp06aN++fY2FiNHj1acXFxcjgceuKJJ7Rv3z5PdwkAACDJhGBTVFRU5XHHjh2rPD7vvPM83SUAAICkRgabPXv2aObMmVVunXC6GTNmqF+/fpo4caLefPNNFRQUVHnebvf6DcUBAEAr0aiUkZ6erkGDBqmoqEhhYWE1viYrK0sZGRlat26d5syZox07duipp55SamqqUlNTqwUdAAAAT2nUPDYpKSlyOBy69dZbNXjwYNlstmqv+fbbb6scbjp58qTWr1+vtWvXau3atdq5c6ecTqdnqvcDzGMDAID3NCrYFBcXa/r06Xr22WdlGIYGDhyohIQE9e/fX/Hx8QoNDa23jbvvvltz5sxpVtH+hGADAID3NGnm4fLycr3//vv697//rVWrVunbb79VQECAunfvrri4OPe/3/3ud9VOHv7444+VmJjosQG0dAQbAAC8xyO3VDhw4IDWrFmj9evXa8OGDfr+++/dh6liYmIUHx+vxMREJScnKy4uToGBgc0u3F8QbAAA8B5T7hX1448/asOGDdq8ebM+/vhj7dq1S+Xl5bLZbAoJCVH//v2VkpKiyy67TAkJCZYOOgQbAAC8p1HBZs+ePVq6dKnuvvvuRoWRsrIy7dy5U59++ql27typzz//XF988YWKiooUGhqqAQMGKD09XRkZGerevXuTBtJSEWwAAPCeRgWbbt26adCgQXriiSdqvdy7oQzD0N69e/XZZ5/pk08+0aZNm/T555/roosu0kMPPaTLL7+8We23FAQbAAC8p1ET9HXr1k0nT57U1q1b1dwjWDabTb169dI111yjJ554Qp9++qkOHz6sq6++WuPGjdM//vGPZrUPAABaH69f7t0Qe/fu1aWXXqpjx455pD1fYo8NAADe4/XLvRuiR48eioyM1IYNGxr93paGYAMAgPe0yMu99+3bpy5duqhdu3bNLc3nCDYAAHgPl3ubjGADAID3mBJsTsfl3gQbAAC8wSvBpiZc7g0AADzNZ8GmJkePHtWCBQs0Z84c3Xvvvbrjjjt8XVKzEWwAAPCeFhVsKnG5NwAAaIpGTdDnLVdeeaV69uzp6zIAAICfsfu6gJqsWLFCXbp08XUZAADAz7TIQ1FWwqEoAAC8p0UeigIAAGgKgg0AALAMU4PNqlWravwZAADADKYGm3Xr1tX4MwAAgBlMDTa/Pi+Zc5QBAIDZTA02lXf4Pv1nAAAAM3htjw0AAIDZuCoKAABYBsEGAABYhtfOsQGA0+UXlWnvsVPKLyrzdSkALMLUe0VxVRSAmuw7Xqh73tutpV8elcuQAmzSVbFRmpXRW90dob4uD4AfM/VeUUePHlVkZGS1n1sT7hUFVLXveKHi527QqdIKOV2/bH7sATaFtbVr6+3JhBsATWbqoahfB5nWGGoAVDd5+Z5qoUaSnC5DJ0udmrx8j48qA2AFnDwMwGvyi8r0TnZOtVBTyekytDQ7h3NuADQZwQaA1xw7VaZaMo1bhSHlFhJsADSN14LNLbfcosGDB6uoqEivvPKK3n77bW91DaCF6Nw+SAH1XCwZaJM6hQZ5pyAAluPRYFNRUeH++fRzkuPj47VgwQJlZWUpLy9PH374oZ5++mlPdg+ghYtoF6SrYqNkryXd2ANsGh4bpYh2BBsATeOxYPPMM88oMTFRqamp+vrrr/XNN99o6NCh7uc7deqks846S2PGjNFf/vIXPfnkkyouLvZU96ZZt26d+vbtq5SUFKWkpCg6Olo7duzwdVmA35qV0Vthbe3Vwk3lVVGzMnr7qDIAVuCxYGMYhrZu3aoVK1Zo5cqVCgkJqbLXZvHixdq5c6c6dOjgXtatWzdPdW+aLl266PXXX9e6deu0du1aXXLJJYqLi/N1WYDf6u4I1dbbkzWsT6T7sFSgTRrWJ5JLvQE0m8cm6HM4HFqzZo1SU1M1ceJELV++XCdOnHA/f9ZZZ2nJkiXatWuXwsPD1b9/f+Xn53uqe+Xl5WnSpElasGBBjZMBzp8/X88//7xCQkIUHh6uZ599Vl27dq233R49erh/XrVqlYYMGeKxmoHWqrsjVG+Nu1j5RWXKLSxTp9AgDj8B8AiPBZt+/frp7bffVmpqqiQpIyOjyqGmadOmqU2bNpKkU6dOaf369Xr//fc90nd2drYmTJigCy64oMbnlyxZomnTpumLL76Qw+HQQw89pOHDh2v79u0KCGj4TquFCxfqqaee8kjNAP5zzg2BBoAnmTrzcH0+//xz9evXr9nt5OTkKCIiQosWLdL48eOr7bFJSkrSgAEDNGfOHElSQUGBOnbsqJUrVyotLU2SlJycXK3d6OhoLV68WJL0448/6pFHHml0sGHmYQAAvMfUe0U988wzuvbaaxUWFlbtOafTqYKCAo/0ExUVVetz5eXl2rZtm7KystzLwsPDFRMTo02bNrmDzcaNG+vs44UXXtBNN91Uby1Op1NOp9P9uKSkpN73AAAAzzB1Hpubb75ZCxcu1HfffVftObvdrt27d5vZvSQpNzdXTqdTERERVZZ36NBBOTk5DWqjoqJCX3zxRYP2Lk2fPl0hISHuf6f3CwAAzGNqsAkICNCtt96qzz77zL1HxOl06r333tOoUaP03nvvmdl9vRp6FC4wMFBvvvlmg147ZcoUFRcXu/958gRpAABQN6/MPJyUlKSXXnpJl19+uTp37qyZM2cqJSXFff6KmRwOh+x2e7WAkZeXp+joaI/3Z7fbFRwcXOUfAADwDlODzfbt2zVw4EDFxsaqtLRUI0eO1J133qkNGzbotttuU2io+fNVBAUFKT4+Xrt27XIvKygo0P79+5WUlGR6/wAAwHtMDTb333+/brrpJh0+fFivvfaabr75ZmVlZemxxx7TyZMnzey6irvuuksLFy50z6szb9489e3b131pOgAAsAZTr4r6wx/+oOuuu67KsoiICN1xxx166qmnlJGRofPOO6/Z/RQXFys9Pd19MnBKSooSExM1Y8YMSdLIkSOVk5OjtLQ0BQcHKzw8XMuWLWvUHDYAAKDlM3Uem7y8PIWHh9caIJYtW6Zhw4aZ1X2LwDw2AAB4j08n6GsNCDYAAHgPx2IAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwAAIBlEGwA1Cu/qEx7j51SflGZr0sBgDrZfV0AgJZr3/FC3fPebi398qhchhRgk66KjdKsjN7q7gj1dXkAUI3NMAzD10VYWUlJiUJCQlRcXKzg4GBflwM02L7jhYqfu0GnSivkdP2ymbAH2BTW1q6ttycTbgC0OByKAlCjycv3VAs1kuR0GTpZ6tTk5Xt8VBkA1I5gA6Ca/KIyvZOdUy3UVHK6DC3NzuGcGwAtDsEGQDXHTpWplkzjVmFIuYUEGwAtC8EGQDWd2wcpwFb3awJtUqfQIO8UBAANRLABUE1EuyBdFRsley3pxh5g0/DYKEW0I9gAaFkINgBqNCujt8La2quFm8qromZl9PZRZQBQO4INgBp1d4Rq6+3JGtYn0n1YKtAmDesTyaXeAFos5rExGfPYwAryi8qUW1imTqFBHH4C0KIx8zCAekW0I9AA8A8cigIAAJbBHpsGmDFjhgoLC1VYWKj4+Hhdc801vi4JAADUgGBTj88++0yrVq3S2rVr5XK51KtXLw0dOlQdO3b0dWkAAOA0ljkUlZeXp7Fjx8pmq3nejfnz5ysuLk5JSUm64oordPDgwQa1++2336pr166SpICAAHXs2FFbt271WN0AAMBzLBFssrOzlZmZqbCwsBqfX7JkiaZNm6bVq1dr8+bNSkhI0PDhw+Vyuept+6KLLtKuXbtUUVGhU6dOae/evTp58qSnhwAAADzAEpd75+TkKCIiQosWLdL48eN1+pCSkpI0YMAAzZkzR5JUUFCgjh07auXKlUpLS5MkJScnV2s3Ojpaixcv1r///W9t2bJFHTp00PLly/XAAw8oKSmpQbVxuTcAAN5jiXNsoqKian2uvLxc27ZtU1ZWlntZeHi4YmJitGnTJnew2bhxY43vNwxDXbp00YMPPiiXy6Vly5apf//+tfbndDrldDrdj0tKSho7HAAA0ESWCDZ1yc3NldPpVERERJXlHTp0UE5OTr3vNwxDt956q4YMGaKSkhI9+uijsttrX23Tp0/X1KlTm103AABoPMsHm7o05ChcQECANm/e3OA2p0yZonvvvdf9uKSkpFqoAgAA5rB8sHE4HLLb7crPz6+yPC8vT9HR0R7vz26317lHBwAAmMcSV0XVJSgoSPHx8dq1a5d7WUFBgfbv39/gE4ABAIB/sHywkaS77rpLCxcu1IkTJyRJ8+bNU9++fZWamurjygAAgCdZ4phJcXGx0tPT3ScDp6SkKDExUTNmzJAkjRw5Ujk5OUpLS1NwcLDCw8O1bNkyBQS0ilwHAECrYYl5bFoy5rEBAMB72GUBAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADWER+UZn2Hjul/KIyX5cCAD5jiQn6gNZs3/FC3fPebi398qhchhRgk66KjdKsjN7q7gj1dXkA4FVM0GcyJuiDmfYdL1T83A06VVohp+uX/8r2AJvC2tq19fZkwg2AVoVDUYAfm7x8T7VQI0lOl6GTpU5NXr7HR5UBgG8QbAA/lV9Upneyc6qFmkpOl6Gl2TmccwOgVSHYAH7q2Kky1ZJp3CoMKbeQYAOg9SDYAH6qc/sgBdjqfk2gTeoUGuSdggCgBSDYAH4qol2QroqNkr2WdGMPsGl4bJQi2hFsALQeBBvAj83K6K2wtvZq4abyqqhZGb19VBkA+AbBBvBj3R2h2np7sob1iXQflgq0ScP6RHKpN4BWiXlsTMY8NvCW/KIy5RaWqVNoEIefALRazDwMWEREOwINAHAoCvAy7ukEAOZhj40fyi8q07FTZerc3rN/oZvVrplt+1O73NMJAMzHOTYm8+Q5NmZ9MZr5hetvNZvZLvd0AgDzEWxM5qlgY9YXo5lfuP5Ws5nrIvPV7Vr25dEab39gD7BpWJ9IvTXu4ia1DQD4BefY+AmzbnZo5k0U/a1ms9rlnk4A4D0EGz9g1hejmV+4/lazmeuCezoBgPcQbPyAWV+MZn7h+lvNZq4L7ukEAN5DsPEDZn0xmvmF6281m7kuuKcTAHgPwcYPmPXFaOYXrr/VbHb44J5OAOAdBBs/YdYXo5lfuP5Ws5nrgns6AYB3cLm3yTw9j83k5Xv0TnaOXMZ/vhiHe2iOFTPa9ceazVwXlbinEwCYh2BjMjNugmnWF6OZX7j+VjPhAwD8E8HGZNzdGwAA7+EcGwAAYBkEGwAAYBkEGwAAYBkEGwAAYBkEGwAAYBkEGwAAYBl2XxdgdZVX05eUlPi4EgAA/F/btm1ls9V+cz+CjclKS0slSRERET6uBAAA/1ffvHBM0Gcyl8uln3/+ud6E2VKVlJQoIiJC+fn5lptgkLH5J8bmnxibf2qJY2OPjY8FBAQoPDzc12U0W3BwcIv5UHsaY/NPjM0/MTb/5E9j4+RhAABgGQQbAABgGQQb1Mlut+uBBx6Q3W69o5aMzT8xNv/E2PyTP46Nk4cBAIBlsMcGAABYBsEGAABYhv8cNEOLk52drRkzZiguLk67d+/W6NGjlZ6eLkl69NFHdejQIRmGocjISP31r3/1cbWNU9fYJOnbb79VXFycVqxYoeTkZB9W2nh1je3tt9/W+vXrZRiGBg8erGHDhvm42sbLzs7WbbfdptTUVE2ZMsW9/PPPP9ebb76ptm3bau3atVqzZo0CAvzrb7uaxlbfZ9Uf+fv2oy7+vO04XYvdXhhAE3344YfGhg0bDMMwjGPHjhlnn322YRiG8dNPPxmdO3c2XC6X4XK5jE6dOhn5+fk+rLTxahubYRhGeXm5cfPNNxuJiYnu1/iT2sb2888/GxdeeKFRUVFhOJ1OIzY21jh16pQvS22SRYsWGX/729+MadOmuZeVl5cbqamphsvlMgzDML788kv3z/6kprHV9Vn1R1bYftTG37cdv9aStxf+9ecKmiQvL09jx46tdabG+fPnKy4uTklJSbriiit08ODBBrU7aNAg918cLpdL7dq1kyQFBQWpbdu2KioqUlFRkc4++2y1b9/eM4M5jbfHJkmzZ8/WhAkTFBQU1PwB1MHbY/vkk090/vnnKyAgQIGBgTr33HO1bds2zwzmNGaNTZLGjBlTbU/Mli1bFBAQoCeeeEIPPvigDh06ZNpM4N4eW12fVTOZNU5vbj9qYubvz1vbjoZqzli9ub1oLIKNxWVnZyszM1NhYWE1Pr9kyRJNmzZNq1ev1ubNm5WQkKDhw4fL5XI1qp+5c+dqzpw5kv4zQ+XUqVM1fvx4jRs3Ttdcc40plwr6YmybNm1SWFiYYmNjm11/XXwxtuPHj1fpLywsTLm5uU0fRC28NbZfO3TokLZv364bb7xRU6ZM0eTJk/XDDz80ub3a+GJsv/br36eZzBynt7YfNTFzXN7adjRUc8fqre1FU3COjcU5HA6tXLlSixYtqvH5Rx99VNddd50cDockaeLEiZo6dao++OADpaWlSVKNx4Gjo6O1ePFiSdKrr76qbt26uY+v7tixQy+//LI++ugjSVJiYqISEhI8fjzZF2NbsWKF2rdvr5kzZ+rAgQN67bXXVF5erkGDBvn92BwOh06ePOl+7cmTJ9WpUyePjquyH7PHdrqwsDD17NlToaGhkqTY2Fht27ZN3bp188CIfuGLsVU6/fdpJjPH+de//tUr24+amDmuHj16eGXb0VDNHau3thdNQbCxuKioqFqfKy8v17Zt25SVleVeFh4erpiYGG3atMn9H3Xjxo21tvHKK6+orKxMN998s95//339/ve/148//qiOHTu6d2926tRJJSUlHhrRL3wxtocfftj9/MqVK3XttdeassH1xdgSEhJ05513yuVyyTAMffvtt4qPj/fcoP6f2WOrSf/+/XX8+HEZhiGbzaZDhw6pe/fuTRtAHXwxNqnm32dISEjjB9BAZo7zvffe88r2oybe+v2Zue1oqOaO1Vvbi6Yg2LRiubm5cjqdioiIqLK8Q4cOysnJqff9H374oSZNmqR+/frpX//6lw4cOKDPPvtMl19+uZYuXeq+kqFbt2667LLLTBlDbcwaW+WXxfz587V//37985//lMPhUK9evUwZR03MGlt4eLimTp2qSZMmyTAMPfzww+49HN7S3LFJ0uLFi7V+/XoFBgaqd+/eyszMlMPh0AMPPKCJEyeqffv2GjJkiOLi4swYQq3MGlt9n1Vva+44W8L2oyae+P1Jvt12NFRDxhoWFubz7UVtCDaokdGACakHDx6sgoKCGp97/vnnPVyR5zR3bJKUlZVV5a+ZlqK5YxsxYoRGjBjh4ao8oyFjk6TRo0dr9OjR1ZZfe+21uvbaaz1dlkc0Z2z1fVZbkoaM0263t+jtR00a+vuTWu62o6F+PdaWur3g5OFWzOFwyG63Kz8/v8ryvLw8RUdH+6gqz2Bs/omx+T+rjtOq46qJv4+VYNOKBQUFKT4+Xrt27XIvKygo0P79+5WUlOTDypqPsfknxub/rDpOq46rJv4+VoJNK3fXXXdp4cKFOnHihCRp3rx56tu3r1JTU31cWfMxNv/E2PyfVcdp1XHVxJ/Hyjk2FldcXKz09HT3CV8pKSlKTEzUjBkzJEkjR45UTk6O0tLSFBwcrPDwcC1btswvpppnbIytpbHy2H7NquO06rhqYuWx2ozGnPUEAADQgrX86AUAANBABBsAAGAZBBsAAGAZBBsAAGAZBBsAAGAZBBsAAGAZBBsAAGAZBBsAAGAZBBsAAGAZBBsAAGAZBBsAAGAZBBugBVm9erWmT58ul8vVoNeXl5frkUce0e7du02urG4PPfSQunXrppSUFI+0N2HCBE2YMMEjbfmyD9TM5XLptttu0/Hjx31dCiyIm2ACLcyAAQN0991366qrrqr3tTfddJP69OmjSZMmmV5XfR588EGtW7dO69ata3ZbRUVFkqR27do1u63a6vJkH62BJ3+/krR161bddtttWr9+vYKDgz3SJiCxxwZoccaPH68FCxbU+7oPPvhAH3zwgSX3OrRr1870wOGNPlC7/v37q3fv3po1a5avS4HFEGyAFmbUqFFas2aNCgoK6nzdq6++qssuu0yBgYGSpOeee069evVSt27d9OSTT+ryyy9XWFiYXnnlFR09elRjxoxRcnKykpOTNXHiRBUXF7vb+uabb5SSkqKLL75Y6enpevjhh2Wz2ZSSkqIDBw5o7ty5VQ41ff755+rXr59sNlut9T3xxBMaPHiwUlNTlZiYqKefftr9XF21zps3r0pf69atcz+urNFms+nxxx+vt5958+bplVde0eeff66UlBRddtll7uWnHzrLzc3V9ddf715H119/vXJzc2usNy0tTeeee67++c9/1jr+ysNzl156qSZNmqRBgwbpggsu0MyZM5u9jhr73ssuu0znn3++Vq5cqbfeeksZGRn6zW9+UyVA1/UZqW091ve++saQlpamV199VRw4gEcZAFqcESNGGM8++2ydrzn//PON2bNnV1n28ssvG0FBQcZbb71lGIZhLFmyxHjvvfeMSy65xMjKyjIMwzCcTqcxbNgwY8KECYZhGEZ5ebnRo0cP4+6773Y/zsjIME7fPDzwwAPGwIED3Y/Xrl1b5TWnP//3v//dKCoqMgzDMEpKSozu3bsbmzZtqrPWFStWVGtrw4YNxowZM9zvu/rqq434+HijtLS0Qf2cXldNy10ul5GQkGDcdttt7udvu+02IzEx0XC5XO5627RpY6xcudIwDMP417/+ZZxxxhmG0+ms1vav+wgMDDQ+/vhjwzAM49ChQ0Z4eLjx2muvNXsdNeS9bdq0MT744APDMAzj0UcfNaKjo919v/HGG8aZZ55pVFRUGBUVFXV+Rmpbjw15X11j2LJliyHJOHLkSK3rEGgs9tgALUxFRYXOOOMMLVy4sM7X5eTk6Iwzzqi2PDg4WCNHjpQkjRgxQp06ddKWLVs0ceJESVJgYKDGjh2rF154QYZhaMuWLfr666918803S5LsdrvGjRvX7HH069dPI0eOVHJysoYOHarc3Fxt2rSpzlrT09OrtZOcnKx7771XkvTkk09q9erVeuONNxQUFNTgfuqzbds2ffLJJ1UO602YMEEff/yxtm3b5l7Wrl07DR06VJIUFxenn3/+WceOHauz7d69eyshIUGSdNZZZykjI8O9x6I566gh7w0NDdXgwYMlSb/97W915MgRZWRkuN//008/6ejRo9q+fXudn5HaNPR9tY2h8vN75MiROtch0Bh2XxcA4BdOp1OTJk3S3XffrUsvvVQ//PCDunXrVuNrKyoqajwUFBERUeXxDz/8IOk/JxoHBPznb5mSkhJ17txZubm5OnTokCSpc+fO7vc4HI5mjeP7779Xenq65s+fr//6r/+SJKWkpKiwsLDOWuuydetW3X333Vq8eLF7nTS0n/pUrqOoqCj3ssjISEnS/v371b9/f0lSeHi4+/nKE15LS0vrbLtjx45VHnfu3FmfffZZs9ZRQ9975plnun+22+1VlrVp08Zdf32fkV9/Nn6toe+r7fdc+Z6KiooanweagmADtBDl5eUaN26csrKy1KdPH2VmZuq1117T/fffX+Pro6Oj9fPPP9fbbmUIeP3119WlSxf38mPHjqlz587q2rWr+3HlX9A1XYYbFBRU5Us8Pz+/1j4//fRTlZaWasSIEe5lZWVl9dZam7y8PF199dWaNGmSrrzySo/3U7mOfr0X7OjRo5KkmJiYJtctSSdOnKjy+OjRozr77LObVbun1299nxFPv6/STz/9JElV3gs0F4eigBagrKxMo0aN0h/+8AclJydLkq677ro6D0dddNFF+u677+pt++KLL1b//v31zDPPuJetXbtWw4YNkyRdcskl6t27t/vkU6fTqddee61aO+eff7727t3rvkz6nXfeqbXPnj17SpLWr18v6T9/2e/cubPeWmtiGIbGjh2rmJgYPfzww5KkAwcO6JZbbmlQP2eeeaZ7T8Zf/vIXbdmypVoflevoySefdC978skndckll+jiiy9uUt2VvvnmG33yySeSpIMHD2r58uUaP358s9aRJ9evVP9nRKp5PTbkfXX57rvv1KVLlyp7yoBm8+0pPgAMwzC++uor47nnnquyzOVyGRMnTjS+//77Gt/z7rvvGj179nSf3Pr6668bPXv2NNq2bWsMHDjQ2LFjh/u1OTk5xp/+9CcjMTHRGDRokDF8+HDjwIED7ue/+eYbY+DAgcbvfvc7IyMjw3jssceqnTxcVlZmjB492ujZs6cxcuRI4/HHHzckGQMHDjQefPBBIyYmxjjzzDONUaNGGYZhGI8//rhxzjnnGKmpqcZNN91k9O3b14iJiTEef/zxOmt98sknq7S1YMECQ5Jx6aWXGpmZmUZmZqaRnp5ujBs3rt5+DMMwfvjhB+PCCy80kpOTjfT0dKOkpKRaH5Xr6NprrzWSkpKMpKQk45prrjFycnKqrds//vGPxpEjR4xLLrnEkGRccsklxldffVXj76jyhNv77rvPGDRokNGrV68qJ0I3dR015r1//OMfjR07dhi//e1v3b+vmuqv7zNS03qs77NV3xhuuukmY/LkyTWuO6CpmKAP8GNXX3210tPTNX78+Ga1c/z48Srn1fzv//6v7rjjDh0+fLi5JbZqnp7Uzkr27NmjMWPGaOPGjQoLC/N1ObAQDkUBfuyVV15RdnZ2s2+pMH78eO3YsUPSf871efnllzV8+HBPlAhU43K5NHPmTL377ruEGngce2wA6MUXX9TTTz+tsLAwnTx5UvHx8Zo9ezZfOs3w0EMP6aWXXlJBQYEuv/xyvf76674uCWgVCDYAAMAyOBQFAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAsg2ADAAAs4/8Apyz20WOclkUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 575.819x383.879 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x383.879 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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XYWGhEhIStGvXLrVt29YjtQMAAM+xGIZh+LLDRx99VMeOHVNZWZkSEhL017/+tdH7tNlsCg8P19KlS5WRkaELv1JSUpL69+/vOkNUVFSk9u3ba926dUpNTZUkJScnV9lvTEyMli1bVmlZcnKyXnzxRf3xj390q7bS0lKFhITIbre7rtMBAADe4fMzNjfeeKO6dOmiLl266MCBAx7ZZ3R0dI1t5eXl2rlzp8aNG+daFhYWptjYWG3fvt0VbLZt21bt9gcOHNDnn3+ue+65R06nU8ePH1eXLl08UjcAAPAsnwebN998U2+++aYkqUePHl7vLy8vTw6Ho8pFyhEREbLZbHVuf9FFF2nVqlU6duyYfvrpJz3xxBOKioqqcX2HwyGHw+H6XFpa2vDiAQBAvfg82Pz+97+Xw+GQ1erzrqtwZxauU6dOWr58udv7zMzM1IwZMxpTFgAAaCCf3xV1+PBhZWRk6M4779Srr77q9f4iIyNltVqrvJeqoKBAMTExHu9v2rRpstvtrh/ehwUAgO/4/LTJqFGjFBcXp9DQUJ/cOh0UFKT4+Hjl5OS4lhUVFenIkSNKSkryeH9Wq7VJnI0CAKAl8vkZm169emnTpk06efKk+vTp45M+J0+erCVLlujUqVOSpPnz56t3794aPHiwT/oHAAC+4fNTC6+//roiIiI0depU3X333bruuusavU+73a5hw4a5LgZOSUlRYmKiZs2aJUkaMWKEbDabUlNTFRwcrLCwMK1atcqtZ9gAAIDmw+fPsVm/fr2GDBkiSfrggw80cuRIX3bvczzHBgAA3/H5KYsTJ05o3rx5OnjwoM6cOePr7gEAgIl5NNhUVFS4fq/pRNCdd96pLl266Pnnn1e3bt082T0AAGjhPBZsXn31VSUmJmrw4MH65z//qW+//VY33HBDlfVeeeUV7d69W/fee6/y8/M91T0AAIDngo1hGMrOztbatWu1bt06hYSEVHvW5ne/+53uvfdeZWVl6eDBg57qHgAAwHN3RUVGRmrjxo0aPHiwJkyYoDVr1rhur/4twzAUFRWlSZMmeaprAAAASR4MNn369NGKFStcz4ZJS0uT3W6vst7GjRu1ZMkSWSwWDRw4UH/5y188VQIAAGjhfH6797Zt2xQbG6uYmBjt3r1bffv29WX3Psft3gAA+I7Hb/fevHmzunTpoiuuuELZ2dmSpDNnzrheaZCcnKwuXbrIarWaPtQAAADf8niwefbZZ/XCCy9oypQpuu+++5Sbm6srrrhCcXFxGjJkiM6dO+fpLgEAACR5IdgkJCRo1KhR+stf/qJ3331XEyZM0Nq1a3XixAn16NFDzzzzjKe7BAAAkOSFYNOqVSvX77169dLo0aMVFxenyMhIvfTSSzp06JCnuwQAAJDkhWBTUlJS6XP79u0rfb7ssss83SUAAICkegab/fv3a/bs2ZVenXChWbNmqU+fPpowYYLef/99FRUVVWq3Wn3+QnEAANBC1CtlDBs2TIMGDVJJSYnatWtX7Trjxo1TWlqatmzZorlz5+rrr7/WggULNHjwYA0ePLhK0AEAAPCUej3HJiUlRZGRkXrggQd03XXXyWKxVFnn8OHDlaabzpw5o61bt2rz5s3avHmzdu/eLYfD4ZnqmwGeYwMAgO/UK9jY7XZlZmbqtddek2EYGjhwoBISEtSvXz/Fx8crNDS0zn08/PDDmjt3bqOKbk4INgAA+E6DnjxcXl6ujz/+WB999JHWr1+vw4cPKyAgQN26dVNcXJzr5+qrr65y8fBnn32mxMREj32Bpo5gAwCA73jklQo//vijNm7cqK1btyorK0vff/+9a5oqNjZW8fHxSkxMVHJysuLi4hQYGNjowpsLgg0AAL7jlXdFHTt2TFlZWdqxY4c+++wz5eTkqLy8XBaLRSEhIerXr59SUlJ0/fXXKyEhwdRBh2ADAIDv1CvY7N+/XytXrtTDDz9crzBSVlam3bt3a9euXdq9e7e++eYb7dmzRyUlJQoNDVX//v01bNgwpaWlqVu3bg36Ik0VwQYAAN+pV7Dp2rWrBg0apJdeeqnG273dZRiGDh48qK+++kqff/65tm/frm+++UZ9+/bVU089paFDhzZq/00FwQYAAN+p1wP6unbtqjNnzig7O1uNncGyWCzq0aOHbrvtNr300kvatWuXfv75Z40ZM0Z33323XnjhhUbtHwAAtDw+v93bHQcPHtS1116rkydPemR//sQZGwAAfMfnt3u744orrlBUVJSysrLqvW1TQ7ABAMB3muTt3ocOHVKnTp3Upk2bxpbmdwQbAAB8h9u9vYxgAwCA73gl2FyI270JNgAA+IJPgk11uN0bAAB4mt+CTXVOnDihxYsXa+7cuZo6daoeeughf5fUaAQbAAB8p0kFm/O43RsAADREvR7Q5ys33nijunfv7u8yAABAM2P1dwHVWbt2rTp16uTvMgAAQDPTJKeizISpKAAAfKdJTkUBAAA0BMEGAACYhleDzfr166v9HQAAwBu8Gmy2bNlS7e8AAADe4NVg89vrkrlGGQAAeJtXg835N3xf+DsAAIA3+OyMDQAAgLdxVxQAAPVUWFKmgyfPqrCkzN+l4AJN8snDAAA0RYfyizVl9T6t3HtCTkMKsEg394rWnLSe6hYZ6u/yIB9eYwMAQHN2KL9Y8fOy9I99J+X8vystnIa0au8J9Zu3TYfyi/1bICRxVxQAAG55ZM1+nT1XIYez8r9nDqehM+ccemTNfj9Vht/y6ruiTpw4oaioqCq/tyS8KwoAmr/CkjJFTl8vZy3/YgZapLwZQxTeJsh3haEKr56x+W2QaYmhBgBgDifPltUaaiSpwpDyirmY2N+4KwoAgDp0bBukgDouGw20SB1COVvjbwQbAADqEN4mSDf3ipa1hnRjDbAovVc001BNgM+CzX/8x3/ouuuuU0lJid5++22tWLHCV103ypYtW9S7d2+lpKQoJSVFMTEx+vrrr/1dFgDAx+ak9VS71tYq4cYaYFG71lbNSevpp8rwWx4NNhUVFa7fL7wmOT4+XosXL9a4ceNUUFCgTZs26ZVXXvFk917RqVMnvffee9qyZYs2b96sa665RnFxcf4uCwDgY90iQ5U9MVk3XRXlmpYKtEg3XRWl7InJPMemifDYA/peffVVLVq0SBdddJEWLlwoSRo/frw+/vhjSVKHDh10ySWX6NZbb9XQoUMlSc8//7ynuldBQYH++te/avHixdXeWr5w4UK9/vrrCgkJUVhYmF577TV16dKlzv1eccUVrt/Xr1+vIUOGeKxmAEDz0i0yVB/c/UcVlpQpr7hMHUKDmH5qYjx2xsYwDGVnZ2vt2rVat26dQkJCKgWMZcuWaffu3YqIiHAt69q1q0f6zs3N1ciRI9WuXbtq25cvX66ZM2dqw4YN2rFjhxISEpSeni6n01mvfpYsWaI77rjDEyUDAJqx8DZBuqJDW0JNE+SxMzaRkZHauHGjBg8erAkTJmjNmjU6deqUq/2SSy7R8uXLlZOTo7CwMPXr10+FhYUe63vdunVaunRpte3PPfec7rjjDkVGRkqSJkyYoBkzZuiTTz5RamqqJCk5ObnKdjExMVq2bJkk6dixY7rooot00UUXeaRmAADgeR4LNn369NGKFSs0ePBgSVJaWprsdrurfebMmWrVqpUk6ezZs9q6datrmqqxoqOja2wrLy/Xzp07NW7cONeysLAwxcbGavv27a5gs23btlr7eOONN3TffffVWYvD4ZDD4XB9Li0trXMbAADgGR6birr88ss1ZcqUSstGjRrl+v18qJGktm3bavjw4XryySc91X2N8vLy5HA4FB4eXml5RESEbDabW/uoqKjQnj171KdPnzrXzczMVEhIiOvnwn4BAID3ePV271dffVVnzpypts3hcKioqMib3dfJ3bdJBAYG6v3333dr3WnTpslut7t+PDXdBgAA6ubVYHP//fdryZIl+u6776q0Wa1W7du3z5vdS/r1+hur1VolYBQUFCgmJsbj/VmtVgUHB1f6AQAAvuHVYBMQEKAHHnhAX331lesaFofDodWrV2vUqFFavXq1N7uXJAUFBSk+Pl45OTmuZUVFRTpy5IiSkpK83j8AAPAdnzx5OCkpSYsWLdLQoUPVsWNHzZ49WykpKa47jrxt8uTJWrJkiesurfnz56t3796uC50BAIA5eOyuqOp8+eWXmjRpkvbs2aNhw4ZpxIgRuvbaa/XYY4/JYqnjbWL1YLfbNWzYMNfFwCkpKUpMTNSsWbMkSSNGjJDNZlNqaqqCg4MVFhamVatWKSCAV2UBAGAmFsPdK2gb4IYbbtCdd96pUaNGua41KSws1JtvvqmxY8fW+EA9MyktLVVISIjsdjvX2wAA4GVePWXxb//2b7rjjjsq/YMeHh6uhx56SG+99ZYOHz7sze4BAEAL49UzNgUFBQoLC6txymfVqlW66aabvNV9k8AZGwAAfMerwQYEGwAAfImrZwEAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAA8KDCkjIdPHlWhSVl/i6lRbL6uwAAAMzgUH6xpqzep5V7T8hpSAEW6eZe0ZqT1lPdIkP9XV6LYTEMw/B3EWZWWlqqkJAQ2e12BQcH+7scAIAXHMovVvy8LJ09VyGH81//rFoDLGrX2qrsicmEGx9hKgoAgEZ6ZM3+KqFGkhxOQ2fOOfTImv1+qqzlIdgAANAIhSVl+jDXViXUnOdwGlqZa+OaGx8h2AAA0Agnz5aphkzjUmFIecUEG18g2AAA0Agd2wYpwFL7OoEWqUNokG8KauEINgAANEJ4myDd3Cta1hrSjTXAovRe0QpvQ7DxBYINAACNNCetp9q1tlYJN+fvipqT1tNPlbU8BBsAABqpW2Sosicm66arolzTUoEW6aarorjV28d4jo2X8RwbAGhZCkvKlFdcpg6hQUw/+QFPHgYAwIPC2xBo/Ilg44ZZs2apuLhYxcXFio+P12233ebvkgAAQDUINnX46quvtH79em3evFlOp1M9evTQDTfcoPbt2/u7NAAAcAHTXDxcUFCgu+66SxZL9bfbLVy4UHFxcUpKStLw4cN19OhRt/Z7+PBhdenSRZIUEBCg9u3bKzs722N1AwAAzzFFsMnNzdXIkSPVrl27atuXL1+umTNnasOGDdqxY4cSEhKUnp4up9NZ57779u2rnJwcVVRU6OzZszp48KDOnDnj6a8AAAA8wBR3RdlsNoWHh2vp0qXKyMjQhV8pKSlJ/fv319y5cyVJRUVFat++vdatW6fU1FRJUnJycpX9xsTEaNmyZfroo4/0xRdfKCIiQmvWrNH06dOVlJTkVm3cFQUAgO+Y4hqb6OjoGtvKy8u1c+dOjRs3zrUsLCxMsbGx2r59uyvYbNu2rdrtDcNQp06d9OSTT8rpdGrVqlXq169fjf05HA45HA7X59LS0vp+HQAA0ECmCDa1ycvLk8PhUHh4eKXlERERstlsdW5vGIYeeOABDRkyRKWlpXruuedktdY8bJmZmZoxY0aj6wYAAPVn+mBTG3dm4QICArRjxw639zlt2jRNnTrV9bm0tLRKqAIAAN5h+mATGRkpq9WqwsLCSssLCgoUExPj8f6sVmutZ3QAAID3mOKuqNoEBQUpPj5eOTk5rmVFRUU6cuSI2xcAAwCA5sH0wUaSJk+erCVLlujUqVOSpPnz56t3794aPHiwnysDAACeZIo5E7vdrmHDhrkuBk5JSVFiYqJmzZolSRoxYoRsNptSU1MVHByssLAwrVq1SgEBLSLXAQDQYpjiOTZNGc+xAQDAdzhlAQAATINgAwAATINgAwAATINgAwAATINgAwAATINgAwAATINgAwCADxSWlOngybMqLCnzdymmZooH9AEA0FQdyi/WlNX7tHLvCTkNKcAi3dwrWnPSeqpbZKi/yzMdHtDnZTygDwBarkP5xYqfl6Wz5yrkcP7rn1trgEXtWluVPTGZcONhTEUBAOAlj6zZXyXUSJLDaejMOYceWbPfT5WZF8EGAAAvKCwp04e5tiqh5jyH09DKXBvX3HgYwQYAAC84ebZMNWQalwpDyism2HgSwQYAAC/o2DZIAZba1wm0SB1Cg3xTUAtBsAEAwAvC2wTp5l7RstaQbqwBFqX3ilZ4G4KNJxFsAADwkjlpPdWutbVKuDl/V9SctJ5+qsy8CDYAAHhJt8hQZU9M1k1XRbmmpQIt0k1XRXGrt5fwHBsv4zk2AADp17uk8orL1CE0iOknL+LJwwAA+EB4m4YHmsKSMp08W6aObQlFdSHYAADQRPnidQyeDE2FJWVas++E9p04q6HdO2hAt0iP1FgfTEV5GVNRAICG8PbrGDwZmg7lF+vmt3Zq74mzlZZbJM1J66GHB3VrcJ31xcXDAAA0Qd58HcP50PSPfSddDxF0GtKqvSfUb942Hcovrte+fv/cp1VCjSQZkqasOaC5mw81uNb6ItgAANDEePt1DJ4MTY+s2a9Sh7PWdaauOdCgOhuCYAMAQBPjzdcxeDI0FZaUaUWurc71nJK2Hsqvb6kNQrABAKCJ8ebrGDwZmk6eLZO7V+pm/VDg3oqNRLABAKCJ8ebrGDwZmjq2DZKljn2dd23XCPdWbCSCDQAATZC3XsfgydAU3iZIf+oVXed6AZLPbv0m2AAA0AR583UMngxNc9J6KqRV7XFidlqPBtXZEDzHxst4jg0AoLG88TqGQ/nFemTNfn2Ya5PT+DU0pTfiOTZ/enuncm3+f44NwcbLCDYAgKbMk6GpsKRMa/ed0P68sxpyOU8eNiWCDQAAvsM1NgAAwDQINgAAwDQINgAAwDQINgAAwDQINgAAwDSs/i7A7M7fdFZaWurnSgAAaP5at24tSy3vcSDYeNm5c+ckSeHh4X6uBACA5q+ux6fwHBsvczqdOn36dJ0Js6lLSkrSjh07/F1Gs8TY1R9j5h7GqXaMT/Wa+7hwxsbPAgICFBYW5u8yGi0gIIAHDDYQY1d/jJl7GKfaMT7VM/u4cPEw3HL//ff7u4Rmi7GrP8bMPYxT7Rif6pl9XJiKAgAApsEZGwAAYBoEGwAAYBoEGzQpubm5SklJUWZmpmuZ3W7XzTffrDlz5uiee+7Rm2++6ccKmw7GqvEYw+oxLvXDeP2qqYwDd0WhScnNzdWAAQMqLXM6nUpPT1dGRobOnj2rzp0769577/VThU0HY9V4jGH1GJf6Ybx+1VTGgTM2TVhBQYHuuuuuej//5pZbblHXrl2rLH/yySfVp08fpaSkuH4mTZrkoWp/5U7NCxcuVFxcnJKSkjR8+HAdPXrU1XbrrbcqIKDyYRkaGqqMjAxJ0pEjR9S9e3ev1HWeL8bJnZpqGyfJ82Pl6TFqKcdbff9Ov/zySw0dOlTJycn6wx/+oNTUVOXn57u1rbv8eWx5ejzMehzVZ5x69OhR6funpKQoKipK06dPr8/XrFNT+39SQ3HGponKzc3V+PHjdeWVV9Zru08++UTr16/XxRdfXG37iy++qJSUFA9UWJU7NS9fvlwzZ87Unj17FBkZqaeeekrp6en68ssvq/xBXOiNN97Q4sWLNXv2bI/XdSFvjpM7NTVmnKT6j5W3xsjsx1t9x23//v0aM2aM1q5dqx49esjpdOq2226T3W53a3t3+PPY8tZ4mO04qu84devWTatXr3Z9djqd+t3vfqfbb7/dre3d0dT+n9QoBpqk48ePG6WlpcZbb71luPufqayszIiPjzeefvppIzY2tkr79OnTjc2bN7u9r8mTJxt5eXlVlj/88MPGiRMnGlRzYmKiMXnyZNfnwsJCIyAgwFi/fn2lOmfOnFljXX379jX27dvn1vdwt67f8vY4uVOTO+N0vlZPjJU3xqglHG/1HbcxY8YYjz32WJ3rne+7uR1b3hgPMx5HDfn/+2+tXbvWGDRoUI19NbfjxtOYimqioqOj1bp163pt88ILL2j06NHq1KlTjeu8+eabSklJUf/+/fXggw/WeAq8VatWKisr06BBg3Ty5ElJUllZmcaMGaOvv/5a7dq1q3fN5eXl2rlzp/7whz+4loWFhSk2Nlbbt2+vcbt9+/YpOzvbVVd0dLR++OGHGtevb13V8eY41VVTQ8dJavhYeWuMzH681WfcDMPQunXr1LZtW91yyy3q37+/0tPT9fXXX1e7fnM8trw1HmY7jhry9/Zbr7/+usaOHVttW3M8bjyNqSiTOHbsmN5//31t375d7777brXrdO3aVZdccon+/d//XU6nU2PHjtWAAQP0zTffKCgoqMr68+bN06RJk5SSkqK1a9dq/PjxKi8v1z/+8Y8GPY47Ly9PDoejygtBIyIiZLPZJEnLli3T1q1bFRgYqJ49e2rkyJFq3bq1nnnmGfXq1UunTp1SbGyshgwZUu/+3dUcxkny71i5M0bNYRx9OYb5+fk6ffq0/va3vykrK0s9e/bU22+/reTkZB04cEBdunSpso2Zjy13x4PjqDKbzabPP/9c7733Xo3rmPm4cYtXzweh0dw9VXnLLbcYGzdudG1T3VTUhU6dOmVIMt5///1a15s0aZIRFBRkDBkyxCgtLW1wzceOHTMkGatXr660vG/fvsb9999f534bq6Gnfb01TjXV5M9x8uYYmfl4c2fcjh49akgy7rnnnkrLO3fubMyYMaPWbZvbseXN8TDTcdSQv7dnnnnGePjhh91at7kdN57CVJQJfPLJJ3I6nbr++uvrtV1ERIQuvvhifffddzWuY7fblZOTo0svvVTff/+98vLyGlxnZGSkrFarCgsLKy0vKChQTExMg/frbYxT3dwZo5Y+juHh4bJYLFX67ty5s44cOVLjdmYdk4aOR0s+jgzD0KJFi9x615NZx8AdBBsTWLdunX744QfXbYCzZ8+WzWarclvkhbdIFhcX6/Tp09WeApekkpISpaWlKTQ0VHv37tVtt92mgQMH6scff2xQnUFBQYqPj1dOTo5rWVFRkY4cOaKkpKQG7dMbGKe6uTNGjGNloaGhuvLKKyudupd+Pc3fEsfE3fHgOPqXTZs2KTY2Vt26dat1PTOPgVv8fcoItavpVOVzzz1n3HrrrTVuU91UVNeuXY2PPvrI9fnxxx83OnfubJw+fbrKuufOnTMGDBhgjBkzxigvL3ctz8zMNLp27Wr89NNP9a7ZMAzjgw8+MGJiYoz8/HzDMAxj5syZRp8+fYyKiooa9+cp7o6lr8aptpr8NU6eHKOWdLy5O25vvPGGERER4fo+H3/8sdGmTRvj+++/r7Jtcz62PDkeZj6O6vv/91tuucX4+9//Xus+m/Nx4ykEmyaqpKTEGDhwoNG9e3dDkjFw4EBj6tSprvYJEyYYffr0qbJdWlqa0b17d6N169bGwIEDjWXLlrnalixZYgwcONAYOHCgcc011xg33nijceDAgRprWLFiheFwOKos//DDDyv9wbhb83kLFiww4uLijMTERGPYsGHGjz/+WOd4NEZ9x9Lb4+ROTYbh23Hyxhi1hOOtIX+nc+fONa688kojOTnZSElJMXbs2FHj/pvbseWN8TDjcdSQccrLyzO6dOlilJWV1bn/5nbceJrFMAzDd+eHAAAAvIdrbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAAAgGkQbAC0WCUlJUpJSVFsbKz27t3rdhuApotgA6DFyszMVEREhFJSUrRy5Uq32wA0XbzdG0CLVFZWppiYGC1dulTXXHON2rRpo1atWtXZBqBps/q7AADwh/Xr18vpdOr6669XYGCg220AmjamogC0SGvXrtXAgQOrDS61tQFo2gg2AFqk9evXKyEhod5tAJo2gg2AFufIkSM6fPiw+vXrV682AE0f19gA8Jt//vOf+uabb5Sfny+LxaIHHnjAJ/1+8sknslgsio+Pr1dbTfz1PQBUxRkbAH6zYsUKhYWFady4cVq0aJHKy8t90u+nn36qbt26qV27dvVqq4kvvsf48eO1fPlyj+8XMBuCDQC/eeSRRzRkyBCVlZWpXbt2PrulOisrS3FxcbW2HT58WA8++KAsFovGjh2rTz75RJLkcDiUkJCguLg4vfjii/X6Hvn5+crIyFBKSkqNtWVnZ+u2226rsnzt2rVKTEys3xcFWiCmogD43SuvvKKFCxf6pK+ffvpJ33//ve6///5a2y677DKlpaVp1apVeu2111zrZGVl6aGHHtKYMWNksVgqbV/X94iMjFRcXJxiYmKqbXc4HJo+fbp++eWXSssPHTqkPn361LgdgH/hjA0Av1q9erX+9Kc/yWKxqKKiwuv9ZWVlSVK1Z2wubNu8ebMGDRokSaqoqNDbb7+tDh066JZbbqkSatz9Hh9//LGuv/76ats+/PBD3XXXXTp+/Hil5Zs2bdLYsWPd/IZAy8YZGwBecerUKb377rtavXq1MjMzXXcZVVRU6LXXXtO4ceO0bNkyPfPMM2rfvr0sFos2bNhQ7b5sNptr2qcmKSkpGjp0aJ117dixQ5J09dVX19m2efNm/ed//qdsNpumTJmiBQsWVHvtTW3fw263a/r06erZs6eKi4v1xRdfqH///lX2ceTIEV122WVyOp2y2WyV2mw2m+677746vxsAXqkAwEscDocCAwO1ZMkSvf7669q6daskaeHChbr99tt18cUX+6WuP/7xj8rPz9cPP/xQa9svv/yi9u3b65133tHp06c1YcIE5ebmqnv37vXqb8yYMRo1apTGjBmjFStW6OWXX9amTZuqrLdp0yZdd911On78uDp16qSCggKFh4c39GsCLRZnbAB4hdX66/9eRo0apfHjx+unn37SZ599piFDhvgt1Jw7d045OTlKT0+vs23r1q0KCwtTjx491LdvX23cuFEvvfSSFixY4HZ/u3bt0qeffqr33ntPkrR3795qp6E2bNigHTt2KDs7W06nU4GBgTp+/DjBBmgAgg0ArwoJCdHw4cP1xBNPKCMjQ926dXO1nTt3To8//ri+/fZbzZw5U71799Zjjz2m4OBgPfDAA+rQoYMkz01F7d69W+Xl5dXeXXRh25YtW5SWlqa+fftKkiZOnKjhw4fr6aefVlhYmFvffcuWLRo4cKACAgJcn2fOnKmioiLXPgoLCxUUFKTp06e7tlu4cKGOHz+uK6+80q1+APwLwQaA1w0cOFAffPCBBgwYUGl569at1apVK40bN049e/bUxo0bNXHiREVFRVVaLzo6WrNnz250Hbt27ZIkJScn19m2efNmjR8/3tU+YMAAde/eXW+++aYmTZrkVn9hYWGKjo6WJP3www/avXu3+vbtq3feecd1zczixYs1YcKEStt17NhRP//8cz2/HQCJu6IAeFlBQYHy8vKUnZ2tsrKyKu1ZWVmKjY1VRkaGrrvuuiqhxpN2796tkJCQau+IOt9mGIb+67/+S9988422bt2q3bt3S/r1bEtZWZmefvppvfzyy271d+utt8put+u9997TF198oZEjR+rll19WWlqatm7dqsGDB+vFF190hSrDMPT444/ru+++06JFi/Txxx977ssDLQQXDwPwGofDoeeff16TJk3Stddeq6lTp+qmm25ytRcUFGjQoEF67733NGPGDD344IPVnk3xlISEBAUHB2vLli31agPQfHDGBoDXLFiwQGPHjlVgYKD+/Oc/65133pEk1ysHNm3apFGjRqlnz556+OGHNXfuXK/V4nQ6tWfPnmqf+ltbG4DmhWADwCtWrlyp4cOHu+6AysjIUHFxsebPn6+srCx99dVXev3111VaWqry8nJddNFF+uyzz/S///u/Xqnn4MGDKikpqfaupNraADQvTEUBaBHeffdd3X///SoqKqryLqfa2gA0L5yxAdAifP755+rfv3+1waW2NgDNC8EGQIuwfft2DRs2rN5tAJoXpqIAmJ7NZlOnTp104MABXXHFFW63AWh+OGMDwPSWLFmiq6++utrgUlsbgOaHYAPAlL799ltdfvnlOnDggJ599lnNmDHDrTYAzRvBBoApderUSR07dlRycrKmTJmitLQ0t9oANG9cYwMAAEyDMzYAAMA0CDYAAMA0CDYAAMA0CDYAAMA0CDYAAMA0CDYAAMA0CDYAAMA0CDYAAMA0CDYAAMA0CDYAAMA0/j/1uFznmD58fgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 575.819x383.879 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1151.64x767.758 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1151.64x767.758 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1151.64x767.758 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",
    "    chunk_size=40,\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 = 1.14452e-07\n",
      "min Bnormal = 4.74454e-18 (T)\n",
      "Max Bnormal = 1.89358e-06 (T)\n",
      "Avg Bnormal = 3.92681e-07 (T)\n",
      "min Bnormal = 4.57952e-18 (unitless)\n",
      "Max Bnormal = 1.82772e-06 (unitless)\n",
      "Avg Bnormal = 3.79023e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n",
      "##########################################################\n",
      "chi^2 B = 1.14452e-07\n",
      "min Bnormal = 5.04463e-18 (T)\n",
      "Max Bnormal = 1.89358e-06 (T)\n",
      "Avg Bnormal = 3.92681e-07 (T)\n",
      "min Bnormal = 4.86917e-18 (unitless)\n",
      "Max Bnormal = 1.82772e-06 (unitless)\n",
      "Avg Bnormal = 3.79023e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n",
      "##########################################################\n",
      "chi^2 B = 1.14452e-07\n",
      "min Bnormal = 4.99247e-18 (T)\n",
      "Max Bnormal = 1.89358e-06 (T)\n",
      "Avg Bnormal = 3.92681e-07 (T)\n",
      "min Bnormal = 4.81882e-18 (unitless)\n",
      "Max Bnormal = 1.82772e-06 (unitless)\n",
      "Avg Bnormal = 3.79023e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n",
      "##########################################################\n",
      "chi^2 B = 1.14452e-07\n",
      "min Bnormal = 4.73687e-18 (T)\n",
      "Max Bnormal = 1.89358e-06 (T)\n",
      "Avg Bnormal = 3.92681e-07 (T)\n",
      "min Bnormal = 4.57211e-18 (unitless)\n",
      "Max Bnormal = 1.82772e-06 (unitless)\n",
      "Avg Bnormal = 3.79023e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n",
      "##########################################################\n",
      "chi^2 B = 1.14452e-07\n",
      "min Bnormal = 5.01842e-18 (T)\n",
      "Max Bnormal = 1.89358e-06 (T)\n",
      "Avg Bnormal = 3.92681e-07 (T)\n",
      "min Bnormal = 4.84387e-18 (unitless)\n",
      "Max Bnormal = 1.82772e-06 (unitless)\n",
      "Avg Bnormal = 3.79023e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n",
      "##########################################################\n",
      "chi^2 B = 1.14452e-07\n",
      "min Bnormal = 5.16602e-18 (T)\n",
      "Max Bnormal = 1.89358e-06 (T)\n",
      "Avg Bnormal = 3.92681e-07 (T)\n",
      "min Bnormal = 4.98633e-18 (unitless)\n",
      "Max Bnormal = 1.82772e-06 (unitless)\n",
      "Avg Bnormal = 3.79023e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n",
      "##########################################################\n",
      "chi^2 B = 1.14452e-07\n",
      "min Bnormal = 5.55620e-18 (T)\n",
      "Max Bnormal = 1.89361e-06 (T)\n",
      "Avg Bnormal = 3.92681e-07 (T)\n",
      "min Bnormal = 5.36294e-18 (unitless)\n",
      "Max Bnormal = 1.82775e-06 (unitless)\n",
      "Avg Bnormal = 3.79022e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n",
      "##########################################################\n",
      "chi^2 B = 1.14447e-07\n",
      "min Bnormal = 5.66753e-18 (T)\n",
      "Max Bnormal = 1.89503e-06 (T)\n",
      "Avg Bnormal = 3.92671e-07 (T)\n",
      "min Bnormal = 5.47040e-18 (unitless)\n",
      "Max Bnormal = 1.82912e-06 (unitless)\n",
      "Avg Bnormal = 3.79014e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n",
      "##########################################################\n",
      "chi^2 B = 1.15638e-07\n",
      "min Bnormal = 4.99112e-18 (T)\n",
      "Max Bnormal = 1.94945e-06 (T)\n",
      "Avg Bnormal = 3.98936e-07 (T)\n",
      "min Bnormal = 4.81752e-18 (unitless)\n",
      "Max Bnormal = 1.88165e-06 (unitless)\n",
      "Avg Bnormal = 3.85061e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n",
      "##########################################################\n",
      "chi^2 B = 1.47534e-06\n",
      "min Bnormal = 5.40389e-18 (T)\n",
      "Max Bnormal = 4.48009e-06 (T)\n",
      "Avg Bnormal = 1.38423e-06 (T)\n",
      "min Bnormal = 5.21593e-18 (unitless)\n",
      "Max Bnormal = 4.32427e-06 (unitless)\n",
      "Avg Bnormal = 1.33609e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n",
      "##########################################################\n",
      "chi^2 B = 1.34544e-03\n",
      "min Bnormal = 5.46945e-18 (T)\n",
      "Max Bnormal = 1.20650e-04 (T)\n",
      "Avg Bnormal = 3.86061e-05 (T)\n",
      "min Bnormal = 5.27921e-18 (unitless)\n",
      "Max Bnormal = 1.16454e-04 (unitless)\n",
      "Avg Bnormal = 3.72633e-05 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n",
      "##########################################################\n",
      "chi^2 B = 1.20442e-01\n",
      "min Bnormal = 6.36522e-18 (T)\n",
      "Max Bnormal = 1.20996e-03 (T)\n",
      "Avg Bnormal = 4.39616e-04 (T)\n",
      "min Bnormal = 6.14382e-18 (unitless)\n",
      "Max Bnormal = 1.16787e-03 (unitless)\n",
      "Avg Bnormal = 4.24326e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n",
      "##########################################################\n",
      "chi^2 B = 4.20749e-01\n",
      "min Bnormal = 6.73828e-18 (T)\n",
      "Max Bnormal = 2.68749e-03 (T)\n",
      "Avg Bnormal = 9.29941e-04 (T)\n",
      "min Bnormal = 6.50391e-18 (unitless)\n",
      "Max Bnormal = 2.59402e-03 (unitless)\n",
      "Avg Bnormal = 8.97596e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n",
      "##########################################################\n",
      "chi^2 B = 4.66339e-01\n",
      "min Bnormal = 6.70160e-18 (T)\n",
      "Max Bnormal = 2.89417e-03 (T)\n",
      "Avg Bnormal = 9.96044e-04 (T)\n",
      "min Bnormal = 6.46850e-18 (unitless)\n",
      "Max Bnormal = 2.79351e-03 (unitless)\n",
      "Avg Bnormal = 9.61400e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n",
      "##########################################################\n",
      "chi^2 B = 4.67576e-01\n",
      "min Bnormal = 6.70209e-18 (T)\n",
      "Max Bnormal = 2.90107e-03 (T)\n",
      "Avg Bnormal = 9.97797e-04 (T)\n",
      "min Bnormal = 6.46897e-18 (unitless)\n",
      "Max Bnormal = 2.80017e-03 (unitless)\n",
      "Avg Bnormal = 9.63092e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n",
      "##########################################################\n",
      "chi^2 B = 4.67605e-01\n",
      "min Bnormal = 6.70206e-18 (T)\n",
      "Max Bnormal = 2.90124e-03 (T)\n",
      "Avg Bnormal = 9.97838e-04 (T)\n",
      "min Bnormal = 6.46895e-18 (unitless)\n",
      "Max Bnormal = 2.80033e-03 (unitless)\n",
      "Avg Bnormal = 9.63132e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n",
      "##########################################################\n",
      "chi^2 B = 4.67606e-01\n",
      "min Bnormal = 6.70206e-18 (T)\n",
      "Max Bnormal = 2.90124e-03 (T)\n",
      "Avg Bnormal = 9.97839e-04 (T)\n",
      "min Bnormal = 6.46895e-18 (unitless)\n",
      "Max Bnormal = 2.80033e-03 (unitless)\n",
      "Avg Bnormal = 9.63132e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n",
      "##########################################################\n",
      "chi^2 B = 4.67606e-01\n",
      "min Bnormal = 6.70206e-18 (T)\n",
      "Max Bnormal = 2.90124e-03 (T)\n",
      "Avg Bnormal = 9.97839e-04 (T)\n",
      "min Bnormal = 6.46895e-18 (unitless)\n",
      "Max Bnormal = 2.80033e-03 (unitless)\n",
      "Avg Bnormal = 9.63132e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n",
      "##########################################################\n",
      "chi^2 B = 4.67606e-01\n",
      "min Bnormal = 6.70206e-18 (T)\n",
      "Max Bnormal = 2.90124e-03 (T)\n",
      "Avg Bnormal = 9.97839e-04 (T)\n",
      "min Bnormal = 6.46895e-18 (unitless)\n",
      "Max Bnormal = 2.80033e-03 (unitless)\n",
      "Avg Bnormal = 9.63132e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n",
      "##########################################################\n",
      "chi^2 B = 4.67606e-01\n",
      "min Bnormal = 6.70206e-18 (T)\n",
      "Max Bnormal = 2.90124e-03 (T)\n",
      "Avg Bnormal = 9.97839e-04 (T)\n",
      "min Bnormal = 6.46895e-18 (unitless)\n",
      "Max Bnormal = 2.80033e-03 (unitless)\n",
      "Avg Bnormal = 9.63132e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n",
      "##########################################################\n",
      "chi^2 B = 4.67606e-01\n",
      "min Bnormal = 6.70206e-18 (T)\n",
      "Max Bnormal = 2.90124e-03 (T)\n",
      "Avg Bnormal = 9.97839e-04 (T)\n",
      "min Bnormal = 6.46895e-18 (unitless)\n",
      "Max Bnormal = 2.80033e-03 (unitless)\n",
      "Avg Bnormal = 9.63132e-04 (unitless)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x383.879 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x383.879 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x383.879 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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fPXu2yMvLazzH1v2blrw3LWnX+VztevN7WvKb9Weg/X9TF+Hzzz8XM2fOtKuNpKQk8fjjjzf+XVVVJRwcHMT69esv+fiLHaPUNVpLcy93W7SnJbR3UWqrz0Vy+SihP8XFxUKv14uvvvqqRc/x1aw/Bw4cOKfjtGLFCgGIqqqqVt2/rWnvGtPaZ0jSPlFCb4QQwmg0isTERPHqq68220nW6/Xi3//+9znb3n//feHu7i6sVqsQQogePXqIf/zjH437T548KQCxf//+xm0Xez5b8t635JjWcLF7s1gswt3dXXzxxReN+6uqqgQgvvvuu0uy2VLas9605JmQXBkopTe/Z/Xq1WL06NFN7m+JnrRUv5qyeeONN4p//vOfzZ5j635GS96blrTLHrRnvTlLa7/zq5krOhQLYNasWWzcuNFuyzxNJhP79++nT58+jdv8/PyIiYkhJSXlko6/2DFKXQOgtLSUm266ieHDhzN8+HAeeughdDqdzT+n1n6OAB9++CGxsbGMGjWqcdtnn31G165diY2N5YMPPmD8+PHEx8fzzTffNB6Tnp7OqFGjSExMZPr06Rw5cuQP127uvu+44w5cXV2JiYnh4MGDvPfee/j7+zNs2DAqKytb/dk0x6V8LpL2g731ByAsLAxXV9cWHXu168+AAQNwcGj42aqtreXzzz/ntttuw8/Pr8X3fz7n68zVpjHQumdI0n5RQm8A3nnnHW644QYiIiKaPc7V1ZXHH3/8nG1arZaQkJDGpfszZ85k7dq11NTUALBw4UKCg4NJSEhoPOdiz+fF3vuWHNNarbnYvZWXl6PT6QgODm7c7+fnh5ubG/v27bvgNS9Fa+DietOetKYlz4TkykApvfk9n3/+Offcc0+T+1uiJy3VrwvZFEKwdu1avLy8mD17NsOGDWPGjBkcPny48fiW9DNsrTctadf52Etvmrs/pfXmLK39zq9mnNq6AZeLn58fY8eOZdGiRcybN++cfSUlJbz77rvNnj9q1CgmTZrU5H61Wo3ZbMbf3/+c7QEBAZSUlFzS8Rc7RqlrWK1WZsyYwYABA1i4cCEWi4WZM2fy5JNP8v777zf5mVwIW7TnfB544AHKy8vZunVr47Z58+bh4uLCvHnz6NKlCxs2bODHH3/k3nvvZc6cOQghmDZtGjNmzODNN9/EbDYza9asc657sfv+6quv6NOnD2+++SYdOnQgMTGRWbNm8fnnn1+wna+//jpr165t8rPp27dvk8/hpXwukvaDvfWntfxZ9Gf27NmsXr2aKVOm8PHHH7fq/s/nfJ1pjxoDl6czkqsDJfSmsLCQxYsXk5KSwvfff9+q9gkhWLx4Mf/4xz8at7300ktoNBpiYmIIDg7Gw8ODbdu24e3t3aprQ9Pv/cWOsUVf5/x7Cw4Oxt3dnby8vMZjKisr0ev1TQ5gWqs1jo6OmM3mZvWmvWvNhZ4JyZWB0v2bkpIS9uzZw8KFC5s85mJ60lr9Ot9meXk5tbW1vP322+zYsYNu3bqxYMEChg8fTlpaGh06dLhoP8MeetOSdp2PPfQGmtecttCby/nNuippu8VCtsFsNou//OUvYsSIEXa5fmFhoQDEypUrz9k+YMAAMW/evEs6/mLHKHWNvXv3CkCkpaU17l+8ePE5S/9ee+01kZyc3PgPOOfvhx9+2GbtuRDPP/+8SE5OPmfbV199JXx9fRv/PnXqlABEUVGR2LlzpwBEenp64/5Fixads4ywJfdttVrF1KlTxZgxY8T48eOFRqNpso2Xw6V+LpL2gb315/e0JIzmatOf5jAajeKRRx4R3bt3b3w/baUzV5PG/B4ZinVlo4TezJ49W2zcuFEI0fC8tGZZ+zvvvCNmzpx5zvv78MMPi8TERFFRUSGEEOLbb78Vffv2FZWVlX84vyXP54Xe+4sdc7la09S9Pfroo6Jbt25CrVYLq9UqHn74YeHs7Cz++te/Nnmd1miNEOKietNeteYsF/rcJFcGSvZvhBDiX//6l3jiiSeaPeZietJa/TrfZn5+vgDE7bfffs5xUVFR4sUXXxRCXLyfYQ+9aUm7LoSt9UaIi2uO0npzOb9ZVyNX9Iods9nMI488whNPPMGIESPIycmxeTbsoKAgnJycqKqqOmd7ZWUl4eHhl3T8xY5R6ho5OTkA3H333Y1LmPV6PSEhIajVakJCQpg/fz7z589vPF+lUp2zgqal993az/Fi/H4JtpubG9BQoaKgoACAkJCQc9r2e1py3yqVii+++ILo6Ggef/xxPD09W93GlmDrz0WiHEroT2u5mvTn0KFDvP76643nnq87zs7OvPHGG3z44Yf89NNP3HnnnTZ9n64WjZFcHSihN5s2bcJqtTJ27NhWn/vzzz+zYcMGlixZ0hhyo9Vq+eCDD/j6668JCAgA4NZbb+X555/nww8/5Nlnn221nQu99xc7xsvLC7h0rbnQvQG8+eabBAQEMGPGDJycnLj++utJSEigY8eOrbqnprQGuKjetGetaepzk7R/lO7fCCH48ssvWbNmTZPHXExPhg4d2ir9upBNf39/VCrVH/oLUVFR5ObmAhfv/1xu3+ZC701L2tVSLkdvoGWao5TeXM5v1tXKFevYMZlM/OUvf+G+++6jR48eXH/99Xz//fc8/fTTjcfYYqmgi4sLiYmJHDt2rHFbdXU1ubm5DB069JKOv9gxSl3jrEgvXLjwnLjEsrKyc17qlmCL9tiCs8sRy8rK8PHxAfhDKcCW3vcnn3zCY489xjvvvMN1111HYmLiBW1ezjLC5j6XiIiIxufz986187FYLLz55pu4ubmxf/9+JkyYwO23397k8ZLLRyn9aS1Xk/5MmjTpD5/Na6+9xlNPPdX4t7OzMy4uLmg0mhbf/+XSFhoDyoRinTx5kvvvv19qTjtDKb1Zu3YtOTk5jTkZSkpKKCkpYdSoUQwYMIC33377guctWrSIr7/+miVLluDm5kZ6ejrR0dGYzWasVivOzs7nHO/i4tKqfAsXe+8vdkzPnj2B1mnNxe7N1dUVJycnnnnmGZ555hkANBoN//znP5kyZUqL7+1iXExv2qvWNPe5nUXqTfukLfo3mzdvJiYmhk6dOjV5zMX0pLX6dSGbnp6edO/e/Q+h22q1uvFdvFg/46zjxJZ605J22QJb9W+U0pvWfOd/Gr1p6yVDl4LBYBDTp08X33//feO2rVu3iq5du9rF3pIlS0R4eLgoLy8XQgjx8ssvi759+zZWYHjrrbfETTfd1OLjW3KMEtewWCxi0KBB4tlnn2285ubNm8XgwYOb/Cyae2RscU/n01Qo1u+X2mVnZwtAZGdnC7PZLLp16yYee+wxIYQQJpNJTJ069Zx2t+S+t27dKh588EEhREMZw/j4eFFTU9NkOy+Hpj6XH374QTzzzDPitddea/b8zz//XHzzzTdCCCF0Ot05Sygltkdp/TlLU2EKfyb9cXd3F8ePH2/8+7PPPhOurq6N5T9b2vbzudBy5atJY35/X81p+MKFC6XmtDPaSm+EuPCy9vP1ZuHChWLkyJGirKxM1NXVibq6OjFnzhyRnZ0thBBi5MiRYvLkyY3libdt2yYcHBzE2rVrL2jvQs9nS9775o65FK1pyb0988wzYvXq1Y3H//3vfxdz5sxp9pqt0RohxEX1pj1qzcU+t98fJ/WmfdFWejN79myxaNGiP2w/X29aqyfNheU0ZfOLL74QAQEBoqCgQAghxLp164SHh8c5z29z/Qx76U1L2nU+ttYbIS6uOW3RtzlLc9/5n0VvrkjHTlpamvjss8/O2Wa1WsVDDz3U7AN+OXz00UeiX79+IikpSUyePFnk5eU17nvooYdE3759W3x8S49R4holJSXi5ptvFklJSWL06NFixowZF7Rzlov5Am1xT2f54IMPRExMjPD19RWzZs0SQjS8mAkJCcLV1VXMnj1bFBcXi8GDBwtADB48WKSlpYn09HSRnJws+vfvLyZMmCBefvnlxtxAubm5F73v+fPni8DAQDFu3DghhBBz584VgEhISBBr1qxp9v4vlaY+l+eff/4cEfr73/8uXnrpJXHvvfeKvXv3CiGEGDdunPj3v/8t3nnnHfHyyy+L+vp6u7RR0oDS+qPVakVycrJISEhofI7nz5/fuP/PpD/vvvuuSEpKEqNGjRJJSUlixIgRjbHVrW37Wc7XmatRYy72DP0eqTnti7bo7wghxNSpUxvfg+TkZPHzzz8LIc7Vm+LiYuHo6CiAP/w727bCwkJx6623iv79+4vhw4eL/v37iwULFpxj62LPZ0ve+4sd01qtacm9ffHFF6Jbt25i+PDhYtCgQeLJJ58Uer2+yWteitYIIS6qN+1Ja1ryuf0eqTfti7bQG7VaLTp06NDorPk95/dvWqInQjStXy2xKYQQ//73v0X37t3F8OHDxahRo8SuXbv+cExz/Qx76E1L23UWe+lNc/fXFuOns1zsOxfiz6E3KiGEsP06IIlEYgteeOEF3NzcmD9/PqtWrWLhwoV8++23lJWVcc0117B37166devG3Llzeeqpp/jmm284cOBAq6uaSSQSCUjNkUgkyiH1RiKRKMWfQW+u2Bw7EsmfjZMnT1JaWtqYdC00NBQAb29vBgwYAMDgwYN577332qyNEonk6kFqjkQiUQqpNxKJRCmuVr2Rjh2J5AqhR48eZGdnNyb9WrhwIQAjRoxozIpfUFDQbPI5iUQiaSlScyQSiVJIvZFIJEpxteqNdOxIJO2UJUuWsH37dpydnenWrRszZsxgx44dvPDCCxiNxsYs8//85z/5+9//jlqtJj09nTfeeKONWy6RSK5EpOZIJBKlkHojkUiU4s+iNzLHjkQikUgkEolEIpFIJBLJFYpDWzdAIpFIJBKJRCKRSCQSiURyaVwxjh0hBHq9HrnASCKRKIHUHIlEohRSbyQSiVJIvZFIrk7azLFz5MgRnnnmGV5++WVGjhx50eMNBgPu7u4YDAa7tEfoViK0i+1y7fMxW2vJqXweg7lYEXsA2Zo9HKz4STF7APVmLZ9mfk6lsVJRu4cqs/n4zHoswqqYzTcOb+FYhXLf5+85efIkHTt25K233moT+1cCrdUbsK/mCNMZrLVvIITF5te+EIU1H1Gj26mILQCtuZotJR9Qb1b23f8p72dO1qQqalNvMfHKiaUUapW71yVZx1mSdVwxe79Hp9MxefJkpk6dil6vb5M2tHfand4I0aA3ptM2v/aFqNJupLj2f4rYOstu9VcUao8panNvxT5WFa9R1CbA/zI3s0utzHcJkFpVyhuHt2C0KPN7dT5vvPEGnTp14tSpU21i/0qg3Y2ptEsQupV2ufb5GM0l5Fa+jMlSoYg9gDO1WzlatVwxewBVxio+z/qSOlOdonZT1Kf5MnOLYk5AIQQvHtjAmWq1IvbOZ+/evURHR/P555+3if3LpU0cO2azmSeeeIKXX36ZZ599lo8++qgtmnEOwrANYViviC2N4Qildd+gUimXuzq1Zj152kOK2QPYWLqJI9VHcXNwU9Tukrw9HKrMwlGlzONda9Tz39Q9lOk0itj7PZmZmYwfP57rr7+eN998k08//VTxNrR32qPeYMkGrTIDHyHMFNV8jN6cq4g9gLz6g5yoXomTylU5m9p8VpesxWC1T0e1KbaVprKq8BCuDsrp+ZKs4+wry1fM3lmMRiM33HADVqsVo9HIjTfeiMlkUrwd7Zl2qTdYG/TGkqOItYr6X6nR7VDEFoDBomF/xY9ozMoN7KzCypKCZRTrlJ3QqTXp+CpzK2X6WsVs7i3N46fMozg7KD9k+Oijj3jnnXe47rrrGDduHNnZ2Yq3ob3THjVHGNYjDNsUsVVn2E9J3dc4qNwVsQdwonoVRVplJ1fWFK/jRM0JXB2VHVMtzEnheHUeKpVKEXuF9TUsOH2AWqOyfTmAY8eOMWXKFObOncuTTz7ZWCnrSqJNHDt79+7FwcGB9957jxdeeIHy8vI/HGM2m9Hr9ef8sy8CpT4OjeEgrk7RuDgGK2LPKizk1x8ixjNREXsABouB9aUbGRs6Bg8nD8Xs1pp0bCs7xbTIAYrZPP2bV7mrX4hiNqGhDN+4ceO49957efPNN1m3bh1PPfUUP/zwQ6uuk5mZya233spbb73FnXfeydq1ay94XHZ2Nj4+PuzZs8cWzVeMlugNKK05Z2c+7P9DqTWdxiq0eLsq907k1u8n3L0Hro6eitlcWbSaKPdI+vr1UcwmwMrCgwwJ6kyQm48i9oQQnKoqpaufMr8fZ7FYLNx2223U1NSwdOlSli1bRnl5ObfffjuWVs7kX82a0z715uzqVWU65nWGg4rqTV79IQSCaM/+itncV7mfMkMZ08KnKGYTYH3xUVSoGBfeSzGbadVldPULUWxgd5ZvvvmG5557jvXr1/Pvf/+bu+66i3HjxlFUVNSq61zNegPtdUxlRUm98XTpjqODMmMNk1VHke6EomOqOlMdW9TbmBQ2ERcHZ8Xsluqq2VeRyTUKjqlO/Tam6uIXpJhNgPT0dCZMmMALL7zAK6+8wq+//so999zDypWtW3nW1nrTJuXOCwoKOHDgAEuXLsXFxYXExERWrVpFZGRk4zGvvPIKL774ooKtMqOUY6fOcBAv136K2AIo0p3AYNUQ6zlIMZvLi1ZgtpqZEDpeMZsA32XvwMXBSdFOz8mqUnxc3Ij0VGZgB1BWVta4UufZZ58FoF+/fqxcuZIpU6bg6enJjBkzWnStyspK5s6dy4QJE1Cr1SQmJpKTk3POMVarlTfffJMePXrY+lbsTkv0BhTWHGGmodNj/45PneEgjipv3J07290WNDiSc+v30y9gliL2ANLrMthbuY/7Ot6Lg0Ir9QBOVOeztyKDt/rfppjNIm0t1UY93fxDFbMphOCee+4hIyODzZs34+nZ4LBbvXo1o0eP5r777uO///1viwd+V7PmtEu94azjzdHulgzmYoyWIrxclXOyZGv2EObWFXdHX0XsGSwGfs5fypDAQYS5hylis8Guie+ydzAhvDdeTsrN2p+sLGVwaLRi9gCWLl3KQw89xNq1a+nduzcAL7zwAjU1NYwfP55t27YRFNSygd/VrDfQTsdUwgIKrWLVGA4pqjd59YewCBMxXgMVs/lzwVLcHNwYHZKsmE2Ar7K2EuDqxfCQrorZTK0soYOXHz4uymlcXl4e48aN48EHH+TBBx8EYPjw4SxatIgbb7yRZcuWMXr06BZdq631pk1W7Hh7e5OQkICnp2djPflDh84NE3rmmWfQ6XSN/6qqquzbKGEAlf0fIiEsaAxHFZ3NyqjbQYBLNAGuyvww52sLWFuynhs6XI+Ps7ciNgEKtZX8kLOTv3YcrWin51hFMb0CwhSbzaqurmbixHEMH9abN/81D8wZCFM6wpROUmIwi358l7lzb2XdunV/mKExm81/uF5iYiITJkwAGsTm7KDt97zzzjvcc889uLoqF1pjK1qiN6Cw5gg9qNwUeWY0hkN4uvZBpbL/oA6gUHsMnaWGTt4jFLFntpr5Kudrevh0Z1CAch0tq7Dyn1Mr6esfy4hg5To9xyqKUQE9A5Rx7AghePSRv7ErZStrVnyMj0dZo974eqpZu/ITtm3dwBOP343JZPrTa0671RtQpI+jMRwCHPBy7Wt3WwAWYSZLs5tO3sMVsQewrOhX6i31zO5wg2I2AX7MSaHCoGFep7GK2TRYzJyuVtM7IFwxm+vXr+eOO25nyaL3GTwgsFFvMGfw9ht/Y/Cg7kyaOJqKioo/vd5Aex1T6UCBUGyLVUu9MVXxMVW4ew88nQIVsXemLp1t6u3cEj0bNwXDsDLqSliWv5+/dR6Pi4Kh5scqihXVm9LSUsaNG83sGyby1BM3NOqNMKUzYUw8X37+KtddN4OUlJQrQm/aZMVOYmIiZWVlCCFQqVQUFhbSsWPHcxvm5ISTk4LNEzpw8Le7GZ3pDFahUcy7bBUWMut20t13oiL2TFYTX2YvINYjhjEhoxSxCQ2Dj3fTVhPm5seNMUmK2YUGEZrYoYti9l555RWiwgUfv3gIKqdxfjqzcf3g0397MXPmTLRa7Tn7nn/+eV544YUmr/3BBx/w+uuvn7PtyJEjAPTt2/fyG98GtERvQGHNEXpAmR9ojeEQQZ4zFbEFcKZuG4Gusfi7RClib0XRKsr0ah7u/KCioQKri45wsqaAb4ber6jdYxXFdPQJxMtZmQHIzp07+fHH7zmwLpggh9sQ56UxCXaE9T8KBoxfQFW14Msvvzxn/59Nc9qv3qCYY8fDOQFHB2XCMPPrD2Gw1tFRIUdyliabtcXruTXmFvxd7N9nPEuprpqvsrZye3wyoe5+itlNrSrFLKz0DlRuoHXzzTfzxUezGN37lT/ojQr49BXBtbcXMX36dHbt2nXO/j+b3kB7HVPpQYGcN/XGY4BFsSgIs9VAlmY3g4OUWaWrt+j5Kvtrevr0YEjgYEVsQsPE1dunVtDFJ4JpkcqthhJCcLSymLu7KXevTz31FIMHBPLa37dA5dY/jKmuGwmlT7kxY8YMKirOFaT2qDdt4tgJDg7mueee46GHHsLLy4sZM2bQvXv3tmjK/2MtB+eedjejN+UA4O7cye62AI5WLUdrrqab7wS727IKK59l/Y8iXTHPdv+noiERv+TvY3vZKT4YeAfOCnqWS7R1ZNZWMDBYmUEsgEajIWnYtTiFzG3ymBETS7Fax6PT6c7Z3twP+/fff09ERATXXHPNOdtXrVoFwOuvv05eXh7ffvstJpOJESOU6UhfLu1Rb4S1HBwC7G7HKkwYzPm4OyvjeKwyFpBavZYRIfcoYi+lfDfLin7l1phbCHVTLsdVXn05b6X+yo0xQ0jwiVDMLsCukhwSQzooZk+j0RAXl0BUzx+bPKZDIMTGzWTWrFl/SNz5Z9Oc9qg3WH+rLqKA5ujNObi7KKM3VmFht/orojz64edi//ewVF/GO2fep5tPV0VDIsxWC08fXUiImw9z4pR9B1JKcghy8yTGWzknVl1dHSPGPIEq8KkL7ncCkkZ8QkGRlk2bNp2770+mN9B+NUelhN6YsnFQeeLiGHnxg23A/oqFCKwk+LQsLOdyMFvNfJjxCXXmOh5LeFjRCaRvs3dwpCqXLwbfo+hY7kxNORV6LYMU7uOMGT0bh6DpTR4zYsIZXN+fd0WMqdrEsQMwd+5c5s5temCqJEIIsOSjcrR/qJLRUoaTgz8OCixRrDdXsqd8Af0DZuHnYl/RE0LwQ95CDlYd4vGER4nyUEZkAU7XFvGftFXcHp/MoCBlHGZn2VyYgZujE0mhMYraVTl4oGomZ4rKuWG21M2tZTO0ixYtoqqqigceeIB169YxcuRI1Go10dHRPP30043HrV27lttuu40hQ4Zc3g0oTHvSGwAseeBkf70xWRqSKLo42t/pIYRgW+mH+Lt2oLd/0z+QtuJ4zQn+l/0Vk8MmMj5UudAEvcXEU0d+JNoziAcTJitmF6BUW8exyhIe6KVc2AkAKqdm9abhGDccHR2l5tAO9cacBziAAoMfo6UMX+c/rlCyByeqV1FuyOKWOPtXg6w11fLW6Xfwd/Hnwc73KTrY+SR9A6dri/kq6W+4OSqXOBVgU0EGoyM64qBw4mSVYwAq56bDTVWOgTg46KXe/EZ70hwh9GAtA0f7D85NFjUujsGKOD2qjUUcrFxIUtDtdg/DEkLwZfbXnK47w/yuTxDsqlyxhMOV2fw3fQMPdJlEDz/lHCwAmwrSCXT1UDQUC0Dl4HWRMVVDha4rQW/aJMdOu8OqbgjFUsCxY7KocVZgkGW2GtlQ/BYuDp4MCppjV1tWYWVR/mI2lG5iXvxf6e7Tza72fk+FoY75h3+gp28H7lYw7vwsa/LSGBEeh5uTsp0tW3LgwAHmzZvH4sWLGTVqFH/729+oqqoiOTn5nGo3n332Gbm5uSxYsIAzZ860YYuvAix5iukNgLMCFfiOVi0jt/4Ao0MfxMHO+XyOVh/ng/SPGRSQyI0dlEvSbBVWXju5jCJdJf/qe7OicecA6wvO4OboxPCwWEXt2hqpOQpjyQOHcFQqF7ubUqqPo9ZnsEv9JX38ryPQNdautioMlfz79H8QCP6e8DDujsqVVd5Ycpxvs7fzRPdr6OStXKJmgKL6Wo5UFDEuSpnE+/ZC6o3CmPMb/qvIZLlakf6N0aJlQ/Gb+DiH0zfAvqHtZquZBTnfsrtiDw90uo+OXvF2tfd7SnTVPH10IcOCE7gldphids+yLv80oyM74uhw5bon2lpv2mzFTrvCktvwX6dYu5syW6txsnMuH5NVz4qC5yjVn2ZG1L9wdrBfJ0Rn0fFJxmecrE3l7rg7FY0B1Zj0PHLwawBe6XsTTg7KJIc9S3pNOTtLcvh05PWK2rU1AwcOpLq6+g/bs7Ozz/l73rx5zJs3T6FWXb0IIcCcg8rtWrvbMlsbEiQ6OdpXcw5WLGKn+jOSgu4k0qO33ewIIVhTso5F+YtJChzCX+NuV2zmXAjBB6fXsr74KG/3v40oD2USJ57FKgRfnz7INTHdcb+CHckgNUdphCUPnJRZVWq2VNm9j1OiS+OX/CcJcevMkOC/2NVWel0G76d/hJeTJ/9I+Du+zspU3gLYV57Bc0cXcUP0EEXLDZ/lmzMHCXbzJDlCuYGlPZB6ozBnx1QKOHYaxlT2DfkyWDQsy3+KGlMx13V4A0eV/X5/60x1fJjxCVn12dzf6V76+ClX4bfKqOGB/V/i6+zBc71mKRr6BXBQXcCxyhKeHjBOUbu2pq31Rjp2AMw5gBs42H+WyWKtxcnBfmWxG5w6z1Kmz+D66LcIcbPfTEupvpR3z3xAvaWe+V2foLO3cmFQOrORRw99jVpfyxdD7iHIVbnqW2f54tQ+Yr39r/jZLInCiCoQtYo4ki3WOkCFo8rLbjYOVPxEivpzRob8jX4B9nNyGq0mvsr+mt0Ve5jd4QYmhU1QtOPxv8zNfJ+zk5d638jQ4ATF7J5lS2EGmbUVfDTiOsVtS65wzNngZP/KbVZhQGC0ax+nwanzD8LdezAt8kWcHOy3Cmm7eicLcr6hp08P/tZpnqIrdY5W5fLE4e8YE9qDv3ebpvggS2My8EP6YeZ1H4yroxwqSFqBJQccQlApkEDdYq3FxdF+FSIbnDrzqTWVMSv6P3atLlygLeDd9A+wCivPdHuKGE9lKhkD1Jp0PLj/K8zCwicD78LHWTmtO8sXp/bROzCcRAVzll6NSLUGhKUQnKJQKTDzqzfn4OFi+7r1ACW6U2wofot6cyUzo9+0m1PHKqxsVW/np7yfCXUL5fmExwh0tX+StLNUGOp44tB35Gsr+O+guxSfOQfI11SzLPsEzw0Yp3jsueQKx1LY8F8F4s/1pmycHALsom1aczXbSj/kTN1WRobcRz87Lk/O0GTyv+wFVBmreLTLw4rOYlmElQ9Pr+X7nJ3M7z6DSRF9FbN9FqsQfHhiF8nh8ST4KRdrL7lKsBSgchtvdzN6U8OMpJOj7X+TrcLCkcql7Cr/iiiPvkyLfMFuTp1aUy3f5f7I3sp9TA2fwqyo6xTNqbOzLI2njy4kMbAjL/S+QVHbZ/n69EHMVitzOitTbUhy9SAsBYr0b4QQ6M25eLjYJ/1Dfv0RNpW8jVkYmRX9Nv6u9rkni7CwrmQDSwuWEecZy4Od78PH2X7O8fMp0VXz2MFvqDVp+XTwPILdlLN9lrSqMtbln+b94dcq7sS+2pCOHQBMKFF6uM5wmHrjcaL9n774wa3AbDWwu3wBhyuXEOnRh+lRL+NrpwoRRbpivsr+mgxNJpPCJ3Bd5Axc7Dhjdj5ZmlIePfgNDqj4fPA8Yr2Uq4Tze/51aDORnr7c0LFPm9iXXMEIU8N/7ZxA3SpMlGl+JMjzWptf+0ztFraWfoijyoXpUa8Q52WfRJM6i44lBb+wsXQz3Xy68mjnhwhxU86xoTMbee7YInapT/NS7xvbxKkDsDznJEcrilgx+Y42sS+5whEmwP4FG0rrvsXVKRYvF9v+LlYYctlQ/G/U+gwGBc1hYOBNdgmHEEKQUr6LH/J+wtXRhUe7PERfP2V/43/K2cU7aauYEtmPp3pcq3iIOTQkaf/45C7u7TEEf1cPxe1LrnCECVT2H1PV6LdjMOcS5DnDptc1WrTsUH/GieqVxHklMSb0Ybycg2xq4yy59bn8L/trCnWFXBMxlWnhU3BSMHdfak0Bfz/0Lb7O7nw2+B4iPJSrfncWIQQvH9xIr4AwpkTbf2Xp1Y507AAICyjgISyp/RwPl554uw6y3TV1aWwofhONuZwxYY/Qw3eyXbydRquR1cVrWVG0ikj3CJ7v8QyxnspWgtpTns4/j/xIvFcI/+5/K/4u9gsvabYdpXmszT/NF8mzcHFUvtMFYLHWozU2nWxLZyxVsDWS1nE2eZp9Z2Er61dhtJQS5nO7za6pNVexrfRjztRtoaffVIYHz8PV0fbLrYUQHKk+yre536O36Plr3O0MDxqm6ExOmb6Gxw99R7Guig8T76RfQJxitn+P1mzkzcNbubFjH3oEKJs89SxCmJvVGwCr0CvUGknrEWDnVR8mSznq+iVE+z2FykbJ0y3CzNGqZexS/48g13hujvuEIFf7vIcl+lK+yfmO1NpTjA0ZzawOMxUNvTJbLbyTtoqf8/ZwX+cJ/CU+uc1mrv99dBt+Lu7c3U25nInnY7JUoDXWNLO/XMHWSFqHFXv3b4QQFNd+jo/bMJuu2CmoP8KGkrcwWrVMivgnXbxH2+U91Fv0/Fq0kjXF64j3iuelns8T6W6fCfmm2FJygueO/Uxf/1he63szXs72d8ZdiA0F6ewqzeXn8be1WQSExappfkxlylGuMZeJdOwogBBW8qr+RaV2DZ2DPraJSJTrs9hT/jWZmhSiPPowo8Nr+DRTGvJSsQoru8p3s6RwGRqzhuujrmNi2Hgc7Vz15vfoLSb+m76BH3NSGB/ei2d7Xo+rwiU/z2KyWnhh/3pGhscxJlLZ0uq/R2M4wvHi75vcry4zK9gaSXujSruJ7Mp/EuR5La5Olx+vrLfUcbByEUcqf8HV0ZMZUf8i1st2Durfk6XJZlH+Yk7VpTE4IJE5MTcrmrAUYEPxMd5IXY6fsyf/G3Iv0Z72ma1rCe8fT6HebOTvfZLbrA0maznHiyc2e4zOVKRQayTtDYO5iNNld+Dk4Eew1+VXqbMKC6drN7O3/BvqTGUkBs1hUOAcu1TbqzHV8GvhSraotxHqFsrT3eYrmi8QGlYiv3hsMVmaMl7tcxPjw+2XgP5iHCgrYEnWcT4YNqNNk7SrNUsoNH3Z5P6SumocuFnBFknaC0KYya54mlr9LrqGfGuTa5bo0thTvoDc+gPEeg5iXPjjeDrZPsWE2Wpme/lOlhUux2AxcmvMzYwOGaVouGW92cD7aav5pWA/13UYxBPdrmmTlYHQMHH10sGNTI/pzsCQtsutU6vfy/HiD5vcn6k2Ktiay0M6dgBUzv8fHmFjhLCSXfkU5Zpf6Bj0LgGeky/rejXGYnaXf8Xp2i0EucZxTeTLxHkNsblHWQjB4eqjLC5YQpGumBHBw7kucgYBLsou00utKeCFYz+j1tfydM/ruCZyQJvGX/7v1H6y6yr5b/LMNm2Hl2tfeoX/p8n9xaIUmKBcgySt4Gzoon00p6J+NZnlDxPoeS1xga9e1rVMVj2HK5dwsHIRKhwYHHQrffxn2KXSXpGumCUFSzlQdYhOXh15utt8ungrm5i82qjlzdTlbCw5znUdBvFwwmQ8nOwfwtIUaVVl/O/UPp4dMI5gd/snomwKZ4cgeoX/0Owx7s5XdnXAqxo79nEM5gJOldyMg4M7PcIW43gZCVOFEGRpdrFL/SVVxny6+oxjcIfb8HUJt2GLG9BZdKwpXsfakvW4ObpxW8wtjAweoeiklUVYWZiTwifpG+jkHcY3Q+8nro3Cy6Fh4uqZfWsZHhbL1Bj75C1pKcFe1xMQNLvJ/WHen1BWb1CwRZKW44y9+jdWYSKz/GGqdVvoEvwZvu6XV5K70pDHLvWXZGp2EurWles6vEEHj/42799bhZV9lftZUrCMCmMFY0JGMT3iGnyclS38cqgym5eOL0Zj1re5Exngg+Mp1Br1PD1gbJu2w8dtML3CX2lyv0PlGeAe5Rp0GUjHDgD26fSYLdXkVD5HpXYdnYM/xt/j0ku41ZpKOVT5M8erVuLjHMrkiH/S2TvZ5klRhRCk1p5iaeEyMjSZDPQfwAOd7iPC3fYdq+bQmY18lbWFb7N30Nc/lvcG3k64u/Kxn78nu7aS947v4P6eQ4n1Vi5Z9IVwdPDEw6VLk/vd2yhMTdICzuaGsLHmCGGhVPM9uZUvEep9CzH+L1yyPpiselJr1rG/4geMlnr6B9xAv4DrcXW0/XNVplezomglO8pTiHAP5+HOD9LPr4+ijlMhBJtLT/DWqZU4oOK9AbeTFNz0+6UEZquVf+5bQ/eA0DZPYKpSOTWrNwAOCuRUkFwqTthjoFVnOEyG+gGcHHzoGvodzpeYNFkIQZ72IHvLv6VYd5JO3iOZGvm8XSrQ6C16NpdtZVXxGqzCwvSIaYwPHYuro7IO3CxNKa+fXM7x6jzu6jiGv8Qnt9ms+Vk+Td1Ddl0ln4xs24krAGfHQDxcml6F7uwYBBQq1yBJy1E5g7D9CgeTRU1WxXxq9XtICPkKH7dLz+1XZSzgYMVPpNasI8A12q6T5Eeqj/JL4XLytPkkBQ7hH1GPEeyqbBEEjUnPZxkb+Sl3N8OCE/hnz+vapJrw7zlZWcIXp/bxzICxhLi37ZjF0cGr+TGVs1yxc2Vh3A1OtssXI4QVtWYR+dX/BlR0CfkMP/dLW0av1mdwsHIRZ2q34ukUyMjQv9HTbyqOKtt+dVZh5Uj1UVYUrSKrPpsePt15rvvTdPSKt6mdlrRjffExPjyzjnqTnke6TuGG6CFtUhXi95isFh7Z9SvxPoHc2z2pTdsiucIx7gaVBzjYLrxHYzhMTuUL1BtPEuH7N6J8H7ukDorWXM2xquUcrV6Oyaqjh+8UBgXdiqeT7Z2qBdpCVhWvZk/FPgJdA7gr7g6GBiUp/q6fqS3inbRVHKzMZmpEfx7tNrVNSn2ez0cnUjhZWcrySbfj6NC2+ie5chHmLLCWgKPtnCQmSzn5VW+irv8ZH7ehdAr6EGfH1muERZhJr93KwcqfKTdk0sGjP7NjPiDM3farRerN9Wws3cz60o0YrUbGhY5havhkvJyUHVBUG7V8kbGJJfl76egVyldD/kZX30hF23AhjlYU8d6xnTzRdxRxPm07cSW5chFCgHEPONmu+q8QZkrrvqWg+h0cHbzoGrIAb7fES7pWie4UByp+IlOTgq9zGGPDHqOb73ibh3lahZX9lQdYUbSKfF0Bff36cFf8nUR72L9a2O+xCCsrCg7y3/T1mIW1XUQ+AOjMJh5O+ZV+QZHc2rl/m7blauNP79gRxkNgOogq4DubXE9nyiKr4gk0hqOEec8l0u8RnBxaVzpOCEGB9ggHKheSV3+QQNdYxoc/Thef0TavBGERFvZV7Gdl8WoKdIX09evDs93/SSevjja10xKOVeXxTtpKUmsKuSZqAPd2Ht/mHuWzvHtsB2eq1ayYfEebJUyWXPkIYUTULwD3G1E5XP6AwmLVkl/9BqV13+DtOphe4avwcElo9XVqjEUcqlxCas1anFQu9PafQR//GXjYwaGTrclhRfEqDlYdItwtnL/G38GQgEGKVoIAKDfU8d/0DawoOEh330i+GHwvvf1tv0LgUjioLuD9Eyk8038sXf3bLjRDcuUj6r9sKD3sevlL3YUQlNcvJbfqJRxUHnQK+oAAj6mtHiQYrTpOVq/hcOViNOZyOnsnMz78cULcbB96WWOqYV3JBjaVbsFBpWJc6FjGh45TPATCZDWzOG8v/8vcjJPKgSe7z+CaqAE4tvGkFUC9ycgjKb8yODSau7rZJ3ea5E+CcRuY01H5vm2Ty2mNp8gsfxydKZ1wn7uJ8L2v1eGeQghy6vdysGIRhbpjhLh1YXLE03TyHmFzh47ZamZXxW5WFq2hzFDGwIAB3B3/V2I8le9b7K/I5J20VWRrypjZYRDzOo3D16V9VLl79dAmynQavh4zW05c2Zg/tWNHWKsQdW+Ac29wvjTv71lMlgqKa/9Had1XuDnF0zP8VzxdurfqGhZhIr12O4erllCmP0Oke2+mR71KrOcgm3tXDRYDO8pTWFeyAbVBzeCAQdzT8W7FvcnQsCT584xNbCo5wYCAOL4dej9dfJTNDt8cGwrS+eTkbl5OnEgn37ZLompPTp48yf3338+kSZOYP3/+H/YfOXKExYsX4+rqyoYNG9i+fXsbtPLKRggrQvM+WCtQed5+WdeyChMV9b9SWPMeZmsN8YFvE+R5Xat1oliXyuHKJWTU7cDLKYihwX+lp99km+fQEUJwouYka0rWcbI2lRiPGB7sdB/9/fspvkKnzqTjx5wUfsjZiZezOy/2voEJ4b3bfFXgWYq1tTyc8isjwuK4PWFgWzfHLki9UQZh2AO6X1D5PHPZlarqDIcorH6XGv0OQr3/Qge/J1o9wNKYyjlavZwTVSsxCyM9fCfRL2CWXXLolOhLWVeynh3qFNwc3bgmYipjQkbh4aTswMYirGwsPs5nGRsp0VVzc+wwbu84Ci+n9hG6aLZa+ceeVVQbdPw4bk6bVaWxN1Jz7I+wlCHq3gaXEaicL69stdFcSnHtZ5TWfYuna296RazB3bl1E85mq5G02k0cqVpChSGHGM+BzOzwFlEetg/11ll0bC3bzvrSjdSYahgaOIRHuzxEuLvylSzTagr5NGMjKerTDAtO4NU+N7Vp7q7zWZp1nO/TD/PBsBlEeipbGEMp2lJv/rSOHWE6hqh6CLCi8v/vJb/kJkv5b+LzHQ4qdyJ9HybM504cVC4XP/k36s2VHK9eyfGqlegs1XTyHs6o0AcId2+dY6glVBtr2Fi2ic2lWzFajQwLGsrk8EcIc7N9Ra2LkVlXwheZm9lccpJ4rxDe7HcrySHd2nyJ4O9Zl3+aB3YsY3anvtzSxnku7MmJEycYMWLEBfeZzWaeeOIJ1q9fj0ql4tprr1W2cVcBwlqDqHkCDDtR+TyLyvHSHJdWYaJcs4Si2o8xmIsI8ryWDn6P4+LU8s6D2WokvW4rR6uWU6o/TbBrJyaE/4POPqNsHuJpsprYU7GXtSXrKdAV0t2nG3/v8gi9fHsq/p7XGLUszE1hYe4uHFAxNz6ZW2KH4ebYcq22NwWaGuZs+gEPJ2feGjqtXWmhLZF6Y1+EsEL95wjNO+A6HtwvPbF1nX4/BTXvUatPwculH91Cf2xVbgshBEW6ExytWkZm3U5cHb3p438tvf1n4OHkd8ntaspWuiaDNSXrOFx1hCDXQGZ3uIGRwcMVz6FjEVY2FB/jy8wt5NaXMzG8D+8PvINIj/YT5mSyWnhs1wo2FWbwv1E3EObRPlZI2wOpOfZFGPchqh8BlScqn6cv+ToGczHFtZ9QVvcTTo5+RPv/k1Dv21rlmK41lXK8agUnalZjtGjp4jOKCeFP2mVFYIWhkvWlG9im3oFVWBkZPJxJYRMIclV+EvhUTSFfZGxihzqNrj6R7SJX4PksyTrGE7tXMa/bYKbF2n6M215oS735Uzp2hHYpovZZcBmEyu9tVA6t/6E1W+soqf2C4tovcFC5E+X7CCHec1o1g1WsS+Vo1TLSa7fj4uBOD78p9Pafbpey5QXaAtaVbGBXxR7cHd0YHzqWsaGj8XFuXZiYLUivK+Z/GZvZXHqSjl6hvNr3JsaE9mg3M+ZnWZV7iodTlnNTp768lDixXQ2yjFYdFYacJvdXGkoB0Ov152x3cnLCyemPr/3s2bM5derUBa+1d+9eHBwceO+996iuriY5ue3KLl+JCNMZRPW9IIyoAr5D5dL6eGIhrFRqV5Nf/TZGcwFBXtcT4XMfbs4tX96rMZVzrPpXTlSvRm+ppZP3CEaE3EuEu+2dLBqThi3qbWws3USdWcPggETmxd/VJsuRq41afszZyaLc3Tg6OHBr3AhmRw/Fy7l9zJifJV9Tzc0bf8DLyYXvxt1MkFvbVcE6H6swN6s3AGZhxGKxtEhzpN7YD2HVImoeB8MWVN5Pgsftl/R+1xtTKah+i2rdFrxdB9I15Ft83Ia1+Fpmq4HTtZs5WrUMtSGTELcujAv/O529R+HkYFtnqkVYOFB5iHUl68msz6KjZzz3d7qXAf79Fe9XmK0W1v/m0CnQVjAhvA9v9ptDbDuaMQcwWiw8nLKcrUWZfDnqBoaGxbZ1k85Ba66mwqBrZn8VVqtV9nHaGCEEaL9F1L0GrmNQ+b6OyqH1DkKTpYri2k8oqf0aZ8dAogOeJsRrNg6qljlkhRAUao9ypGoZWZpduDv60cdvBr38p+HpdGlJ3Zsjuz6HdSXr2Vd5AG8nL64Jn8KokGQ8nZT/3U6tKeDzjE2kqE/TzSeSt/vPZXhwQrsaswAszDjCP/eu4d7uSTzRt329Y0aLttk+TrWxIVH7laA3fxrHTkNCr32I+k/AuAs870bl9VirlycbzIWU1n1NWd1CACJ87yPM+w4cHVq2vNcqLGRpdnGo8meKdakEu3ZiTNgjJPiMxsnBtjNKQghO1J5kbfF6TtSeJNwtjDkxNzM8aCguNu5YtaQthyqz+S5nBynq03TyDuP1vrcwKrR7u3PoqHUa3jq6nZ8zjzI3YQDPDxjfJgJpsVpZlHqCm3v+sRxhie4U32Xf1eS5NWUGzGYz7u7nhtQ8//zzvPDCC61qR0FBAQcOHGDp0qW4uLiQmJjIqlWriIxs+4SP7RlhKUTUfw7axeDcE5Xfh6gcWzeLY7HqKK9fSkntl+jN2QR6ziAq5OtWOXTU+kwOVf7MmdotuDp608tvKr38rsHL2fYzSqX6UtaVbGBHeQpOKkeSg0cyPnQcga7Kz1IXaatYmJvC8oIDODs4clv8SG6MSWo3IRBnMVktfHfmEO8e30mUpy/fjrmJALe2iYPfnZ9HUoc/PltaS1WzegNQYcjmhx9+YMqUKedsb63mSL25NITQgfZnRP0XIPSoAr5B5dK6EHMhBLX6nRTXfkmNfiseLj1JCPkaX7cRLf4N1JlrOFb9K0erlmOwaOjsM5LRYQ8T5mb71bg6i45tv4U/VBqr6Offl6ej59PZq5Piv9k6s5EVhQf5MSeFYl0VEyP68vaAucR4tr/w7V0lObx8cBN5miq+Gj2bIaFtk1usRFPHoeJipnT+46qCU9XrSK/7tclzj1RlU3YwQPZx2oiGMdV2hOa/DXlKvR4Dz3ta/d7pTTmU1H2FWrMYB5UbHfyfJNR7TosdOg0J2LdxqPJn1IYMwty6MSH8STr7jLR5TtKGIjPHWFuyjtN1Z+jgHsUdsXNJChyieI5AIQR7ytP5LmcH+ysy6eEbxTsD/sLQoC7tzqFTWF/Dm4e38mtuKg/2HMajvVv+e2JLjBYLi1NPcEuvPn/YV6A9ynfZq5o8t7hAQ11d3RWhN1e9Y+f/xecTMB0C50RU/l+hch3WqutoDEcorv0fldo1ODsGEu57D6Fec3By9GvR+SarnlM16zlUuYQaUyHxXknMin7HLrPlZquZPRV7WVOyngJdAd28u/Jol4fo7durTWavtpSe5LvsHZyqLaSPfwz/7ncrI0K6tjuHjsFi5su0/Xx0Yhfezq78Z+g1zIjt0SYCdKainCc3riNVXXZBx06YezdujbuzyfOLXUt5zWkUdXV152y/kGf5Ynh7e5OQkICnZ8NMRLdu3Th06JDs9DSBMGcj6j8F3a/gEPzbrPlsVK0IzzSayyit+4YyzfdYrFqCPK+lc/AnFy053dgGIcjTHuJQ5SLy6g8S4BLzmwN5rM1nywHS6zJYXbK2MfzhhqjrGRE8DHdH5atLnaop5PvsHWwqPUGgqzfzOo3l2g6D8HRSNhTjYggh2FKUyauHNlGgqeHOronc33MoXs7Kt7POYOCNXTv44fhRsh76+x/2ezj6c2vcF81eY4HrDG655RY+//zzc7a3VnOk3rQOYdWA9nuE9iuw1oPHjag870bl2PLwTKswUFH/K8W1/0NnOo2362A6B3+Kv/s4VC38na42FnK4cgmpNetwVLnQ2/8a+vjPsMtseaWxkvUlG9mq3t4Y/jA+dByhbsqviqkw1PFz3h4W5+3BYDExNbI/c2JH0MHT9vd9ueTUVfLaoS2sLzjD6IiOfDj8Wjr6Kt9OIQSLUk/w6o6thHt5X9Cx081vIoODpjd5jTL/D6kYoGHHjh3nbJd9HPsihBUMGxocOuaTDfl0An5E5TKgFdcQ1Bn2UVL7P6p0G3FxjCDK71GCvWbj1MLVPkaLlhM1qzlSufS3BOwjGRP2CGHul5fb54K2rEZSynextmQ9JfpSevv24h8Jf6e7j/KpI0xWM+uKj/F99g4yNaUMCuzE+wPvYHCg8s7si1FvMvJp6h4+O7WXUHcv/jtyJhM7tL64hy04XlbKPzasJbem+oKOnSiPPtwS90KT55/SnuZb7zspKys7Z3t71Jur1rEjhBWMKQjNB2A6Ai4jUQX8gMql5ckohTBTpd1Acd2XaAwH8HDpQXzgmwR6TmtxDp16cwVHqpZxonoVJquObr4TmOH/Cv6utk9SfDZ517qSDdSYahgcmMjd8XcS62m7Uu4tRWs2sKLwID/kpFCiq2Z0aHce734NvfzaR9WZ32O0WFibn8ZbR7ej1mm4t/sQ7u4+GA8n5XNv1BkMfH30MB/u20PX4GB+vfm2Cx7n4uBOoGtsk9cxuDa03c3t0lcn5OXlER0dTWJiImVlZQghUKlUFBYW0rGj8lXT2jsNDp3PQbcUHKNR+bwE7tNb5dCpN6ZSUvslFfW/4ujgQ6j3Xwj1noOzY3CLzv//ZIFLqTBkE+XRjxlR/yLGM9HmP/oNs1dHWVW8lgxNBvGecdzX6R4G+PfH0caVJlrSlt3l6XyXvYODlVl08g7juV7XMz6sN04O7auKnRCCY5XFvH10OzuKs5nUIYGvRt1ItLftK5BdDIvVyqbsTF7ctgW92cS7E6dc8DgHlVOzegPgpHLB0dHxkjVH6k3rENZa0P2M0HwKmMDjFlQed7RqVaDJUk5Z3Q+U1n2L2VpNgOc0Oga+hadrzxZfo1B7jEOVi8nS7MbHOZRhwXfR3W8SLjZOwA5QoC1kTcladlfsxcvJi6nhkxkdkqx4yXKAHE0ZP+SksLroMO6OLtwYncSs6CEEuCrflotRqq3jf2n7WXB6PzFe/iwYfSPJEW3zTqVXVPDS9s3sys/jzn4DeGzIhSdZPZz8CHRtOi2Bh5M/VQ5a2cdRCCHMYNjaMKYynwLX8ah8X0Ll3KvF17AKI5XaNZTUfkm98Rherv1/q6w3EVUL8/vVmko5UvkLJ2vWIISFHn6T6es/0y4J2OvN9Wws3czG0s1oLVqGBg7hoc4PEOmufHGXOpOOX/L381PuLiqNGsaF9eKF3jeQ0I4KzZxFbzbxa24q/zm6nXqTkUd7j+D2hIG4OirvcqjW6/j04H6+OHSAgRGRfDJ17gWPc3H0aLaP4+eiAa6MMdVV59gR5myE7hfQLQdrMbgMRRXwMyqXP3romsJoLkWt+YkyzU8YLUX4uY+lW+iPeLsObvHgqN5cyYGKhRyvXomLg8dvsZ7T8bRD+WCNWcOGkk1sKN2IWVhIDh7JxLBxbZK8q1Rfw6Lc3SzL34fRamFaZH9uiR3e7mavzg6ulmQdZ0VOKjVGPdNje/Bkv1GEeyibd0gIweGSYn48cYzV6aexCngsaRh39huAk0JlAJcsWcL27dtxdnamW7dujB8/nuTkZDIyMggODua5557joYcewsvLixkzZtC9+9Wb9Kw1CGst6Fc1aI7pCDhGofJ9DdymtzjMs2G2fBVlmh/RGA7g7tyZ2ICXCfK6thXLkU2kVq9jX8X3aM1VvyUL/IddkgVahZW9lftZWbSKAl0hff368FTXf5DgrfwSYL3FxJqiw/yYk0JOvZrB7Xj2qkRbx7LsEyzNPkF6TTk9/EP5cdycNgmDKKqr5efUEyw6eYJiTR1TO3fh+eSxBHkoEwIm9ebSEMIMxp0NeqPfBCpH8LgNleddqBz8WngNQZ1hP2WaH6isX4ODgxshXnMI857bqiTsBdqj7FF/TaHuGOHuPZgS8QwdvYfbvHwwNOSz+LVoJYeqDhPuFs7tsbeRFDgEZwfbhlpcDCEEByqz+CFnJynq00R5BPBI1ylMi+zfrpKwA+jMJjYUnGFJ1nF2luTg6+LG0/3Hckvnfjgr7OzWmUysSj/NTyePc7C4iE7+ASy+4Wb6hSs3KJWac2kI0xmEbinoV4BV/VsenTdaVfXKYC6grG4h6vpFmCwVBHhMIibgebxdW55vsNZUyv6KH0mtXouHkz8DA2+il99U3Bxt31+vNdWytmQ9m0q34KBSMTpkNBNCx+Ln4mdzWxejUFvJwtwUfi04iAqYEZXIzbHDCHNXvi3NIYTggLqApdknWJV7inqzkRs79uGx3iMJdlc275AQgj0F+Sw8eZx1mem4ODjyfPIYbunVR7Gqf22pNyohhLDZ1eyIXq/H3d0dnU73B4+ZsGpBvwah+7kh3MohBNxnoHK/DpVTpxZdXwgrNfqdlNX9QJVuI04O3gR5Xk+o9624Oce2uJ21xhIOVy3hePUqXB28GsXH1vlzoCFB6drS9Wwo2YSjyoHxYeMYHzq2TWav0moK+T5nJxtLjuPn4skN0UOY2WEQfi7tJwEoQJlOw9Ks4yzJOk5GbQVx3gFcH9+La+N6KF52r1qv45e0U/x04hhnKivoGhTMTT16MT2hK35uTc923nvvvcTExPDUU081eUxRUREdO3ZEp2s6+aCkeZrSnIbVgHsRusWgX9+w0W08KvfrGhzJLRzY6EyZlNX9SHn9EszWOvw9xhPqNadVCUpNVh2pNes4WLGIenMlPfwmkxh4M97Otg9JsAgLeyr2saJoJSX6UgYHDGJaxBQ6eETZ3NbFqDRoWPxb+EO92cCkiL7cHDuMTt7KlxZtDr3ZxPqCMyzOOk5KSQ5ezq5Mi+7G9fE96RcUqajzyWy1siU7ix9PHmN7bg5+rm5c370HN3bvSceAph3va9as4cUXX2TPnj3NXj8xMZFXX32VCRMm2Lrpfwqa7eOYcxv0RvcLWMvAuX+D3rhNaXGiUrO1lnLNUso0P6AzpePh0pNQr1sI9JzR4hyBQghy6/dzsPInCrRHifLoy+Cg24jyaPnEWWvI1GSxvHAFR2uOEesRwzUR0+jv31fxMG6T1cyG4uN8n7OT9Lpi+vnHcnPscEaEdMWxHYWUCyE4VF7Iz5nHWJ2XhtZsZGR4PDPjezEushNuTso6wlLVZSw8cYzlp9PQm02Mj+/E7B69GNohGsdmJq1cXFzIz88nNLTpFTuvvvoqhYWFfPzxx/Zo+lVP82Oqut8mrH4G03FwiAD361C5X4vKqWURAEJYqNZtoUzzI9W6LTg7BBLsdSMh3jfj6tTyPkOVIZ9DVYtJrV6Hp1MAiUG30N13os3z50BD1eA1JWvZXLYVNwc3JoWNZ0zo6DYJKT9Wlcf3OTvYVppKsJsPN8UMZUZUYrsr+lBYX8OSrOMszTpOrqaaBN9gZv42pgpxV3YsWq7VsuTUCX46eYKc6ip6h4ZxU49eTO2cgLdr02PwG2+8kbFjx3LPPfc0ecyJEyeYOHEihYWF9mi6TbliV+w0zFztR+hXgX4VCGODJ9n/c3AZ3uLBldGiRq1ZhFrzEwZzPt6uA+kY+BYBnpNbPFsOUGUsYI96Ael12/F0CmRY8F/p5TfNLg6dOlMda0vWs7F0E44qJ6ZFTGFc6BjFxccqrKSoz/Bjzk4OVGbRySuMZ3rOZHx4b1wUTiTWHGqdhq1FWazNS2NbcRaezq5cE9ONN5Om0jcwQtHBVb3RSEp+Lmsz0lmdcQYnBweu6dKVN8ZNpHdoWLtbZSD5f4Q5A/TrGmavLPng1BOVzz/BbSoqh5bNGlmFgUrtWsrqfqTOsBcXxwjCfP5KsOeNuDi13BljtGg5WPkzR6uWYRYGuvtOZGDgTXapqGcRFnZX7OXXwpWUGcpIChzCI50fJMxdeSdKZl0pP+XuYnXRYdwcnZkVPYRZ0UMIcm0/ZXr1ZhO7S3PZVJjBitxTaEwGksPjeX/YDMZFdVZ0ObLFauVYaQkbszNZeiqV0noNwzvE8P6kqYyL74SLY/sKU5P8P8JaBfpNCN0yMO37bcLqOlTu16Nyim3ZNYRAYzjUsDpHuxpQEeh5DfGBb+Hl+sfcbc1dJ71uK/sqvqfCkEMHj35c3+Etojz7XsKdXZxMTRbLCn/lWM1x4j3jeKzLw/T27aX472ONUcvyggMsyt1FhVHD2LCePN3zOrr7Ku/MbgqrEJysLGFLUSbLc06SVVtJgm8wD/UazozY7gQrPLjKr6lhS04Wv6SlcrS0hFg/f+5PHMzMbj0UWxEoaT1CGMG4B6FbCfq1gBXcJqLy+ju4DGlxri2DuQi15ifUmp8xWorxcRtGp6AP8fcY1+IUFgBqfRZ7yheQpdmNr3MYo0IfoLufvRw61awqXsuWsq14OLlzfeS1jA4ZhaujsvnuzFYL28pS+TEnhWPVeXTzieTlPrMZHdqjXYWUF9XXsrUok9V5aewqycHf1Z0ZsT24Pr4X3f1DFdXpWoOBnXk5rMk4w/rMDNycnLm2azc+mjyNbsHtqxKhUrSf0XcLEYbtWA1bQb8RRDU4JaDyehDcr21x2XIhrNTqd1Gm+YEq7QYcHDwI8pxJiNdNeLi0LrGTzlLDvvLvOVa1HD+XqN+ysSfj2MJ40dbZ0rG2ZD1ri9fh5ODMNRHTGNsG3uSz+XMW5e4mX1vB4MDOfDDwDga1k/CHsx2dzYUZbC7M4FhlCS4OjiSFxvDO0OlM6NBF0cFVUV0tG7My2ZydxZ6CfExWC31Cw3lu5GimJ3TDy6V9LeGWnIu17gOsdZvBkgkOgQ2OHPdZrVqKrDdlU6b5EbVmMWZrLf7uY+gS/D/83JNbVZnPKiyk1qxnt/orzMJAP/+Z9PafgYeT3yXcWfMIIThQdZDFBUsp06sZGjSExxIeJszN9s6j5jibP+fHnBT2VWTQwSOw3YU/FGtr2VKYyabCDHaV5KC3mOnqF8Lfug/huriehHoo53iqNxrZnpfD5uwstuZkUaHTEeHtzbVdu3Fzz95E+/op1hZJ6xHahVi1W8C4D3AA11Go/D4F1xEtzkNhttZSXr+Msrof0JlO4+HcjQ7+TxHkeS1OLXRCn6VEd4rtZf+lWHeSLj6jmRg+n2C3lq2Ebi352gIWFyzlSPVROnrG8/cuj9DL1/YFJi5GjqaMH3N3sbrwME4qB6ZHDWxX4Q/1JiMpJTlsKsxgS2EGan09wW6eTOyQwDtDp9MrQLlJIovVypHSYjZkZbIlO4v0ygo8nZ0ZE9eRJ4eNZHBkVLvoF0oujNBvwqrfCobNIOoaJqy8/wHu16ByaNkq9obVOdso0/xAtW4LTg7+BHtdT7DXbNyd41vVnnpzJXvKv+Zk9RqCXTsyJeJZOnoPs0uIZ725nlXFa9hQugl3R3du6HA9o4JHKu7QqTPpWFawn59z91Cqr2F4cAL/HXQ3/fxj28W7Y7FaOVZZzKaCDDYXZXCqqgw3RyeGh8fx8YiZjIlUdpIor6aaDb+NqfYXFWAVggHhEbw6ZjxTOyfg7qzsysT2xpXn2Km6D7x6o/L8K7hNQOUU1+JzdaYsyut/oVzzC0ZLIV6uA4gLfJ1Aj6k4OLRueZveUsuhysUcrVqGo8qZ5NAH6Ok3xS7iY7Ka2Fq2neVFKzBZTUwJn8yEsHGKO3TO5s/5JX8fJquFKRF9+Xf/W4n3UnagdyGMFgu7S3NYl3+GTYUZlOk0hLp7MSayEw/0Gs6wsBjFkiELIUirKGdDZgYbszI4oS7D09mZEdGxvDJmHMmxcQR7tK8QNUkz6JaB3yRUbi+C84AWO2LMlhoqtatQ1/+CxnAAF8cIQr1vJ8TrxlblsoAGh86Z2i3sLf+WGlMxvfymMThorl0cOgAna1L5uWAJ2fU5DA4YxKNdlHfonJ8/Z1BgJ/7Tfy5Dg7u0eUU9IQSnqstYn3+GDQXppFaVNnZ0nhs4nlER8Yrm6lLX17MpO5MNWZmk5OdisljoHx7Bnf0GMCauI10CAttFB1FycUTd2+AzCpXvvxucOg4tW3EhhJka/U7KNUup1K1HhYpAj2uID3wNT5e+rf7+S3Rp7C3/hpz6fUS49+SmmI8IdbdPRZNyQzlLC5azq2I3HTyi2mSFzoXy5zzQZSJTo/rj5dT24Q9qnYYNBemszz/D7tJcjFYLfQLDubVLf8ZEdqK7f6hi+SP0ZhMp+XlsyMxgU3YWFTotMb5+jImL57nk0SRGRMnVgFcIovph8B6Iyuv+hoTITi0v7KI1nqa8finl9csxWUrxcU2iU9B7+HtMaNXqHIB6cxUHK37iePUKXB29GB/+OF19Wl6VrzUYrUY2lG5iZdFqVKiYGXktY0NH42KHiqHNcX7+nGuiBnBj9NB2kZPUYDGzozibdfmn2VKYSYVBS4SHD2OjOvGPPqMYEhqtWGinEIIT6jI2ZGawISuD0xXleLu4khwby5vjJpEcE4u/u/Lhcu2VK86xowpeh4Nny7NHN4Q+rKO07hs0hoM4O4YQ5HktQZ4zW706p+F6Fg5XLmFfxXc44MiAgJvo638tLo62X2JqFVZ2V+zhl8LlVBmrGRsymmsipuLtrNzsrxCC49V5LMrdzabSE/i5eHJr3Ih2kT+nsL6G7cXZ7CzOZkdxNnUmAz0DwpjTuR9jf+voKNUxrNbr2F2QT0p+HttzsymorSXYw5Nx8R15LGk4SVEdcL2EsnhNobfoKdA2HetZoiuxma0/O6rgDTi4tzwHhcZ4hNLar6nUrgGVigD3CUSGfImv28hWrc45S379YbaUfkC1sYCuPmOZ3uFV/F3sEwqQU5/LovzFnKxNpZdvT17q8RwxClfVK9XXsCRvD8vy9zfmz/lX35vbPH+OxmRgV0kuO0uy2VaURZ6mmlB3L8ZHdeaJPsmKdnSMFgtHSopJyc9lR24uR0uLcXF0YkR0DC+NGsuYuI42DXuwCEuzegNgtJpsZu/PjCpkOw7uLS+yYDAXU6b5AbXmJ0wWNV6uA4jxf45Az2mtXp0DUGdSs630IzI1Owl1S7BbVT2AWlMdK4pWsrlsK/4uftwTfxeDAwcp6rjVW0ysLTrCorzdZNSV0M8/ljf73drm+XMsVitHK4rY8Vv/5lB5Ia6OTowMj+eVQZMYFdFRsaSkQggyqypJyc8lJS+PlPxcdGYzvUPDuL1vf8bHd6SzjZ3HdaY6TFpzk/trTLU2s/VnRhW8CYdW/MZbrDoqtSspqfsGrfEELo4RBHvOIshrZqtX50BDJc8DlQs5WPETLg4eJAXfQS+/aTi3crK9RW0XFrard7K8cAX1lnomho1nStgkPJyUCxE860BelLub7WWnCHHzYV6nse0if05eXRXbf9ObnSXZaM0m+gZGcGfXRMZGdaaLb5BiY6oKrZZdBXmk5OWyIy+HYo2GcC8vxsd34ukRoxgcGYWzDZ3HOovuImOqUpvZsjdXnmPHsWV13rXGM6g1iyivX4rZWoO/xwQSQr7G123YJQ2uoGEGa0vp+1QYshkQcBP9A2bh6mifH9ZTtWn8mPcTedp8hgUN5brI6YpWuTJbLWwuPcGPOSmcrCmgq08kT/ecyYQ2zJ9jsJjZX5bPtuIsthVlkV5TjpujE4NCOvBI7+FMiOpClJefIm0xWSwcKS1me24OO/JyOV7a4EjpFRrGNV26Mi6uI33Cwi95Bk0IQWpxGVvTsrh/TNIf9mdqsnj6xHNNnq9Vay/JruSPtGTGyGSpoqJ+GWWan34LfehObMALBHhOvaTBFYDWXMVO9RecqllHnFcS10S9ZDeHToWhgsUFS9lVsYd4zzie7Po43X262cVWU6TWFPBDzk42lZzA19mD66MHc30b5s8RQnC6Ws3Woiy2F2dxQJ2PyWqlZ0AYU6O7Mb5DZ/oERigySy6EILu6iu25OWzPy2FfYQFak4lIbx+GdYjmnoGJjIiOxeMyliCX1WrYcjqL2Yl/zL1SY6ptVm8ACnXtP6nglYBKdfGZR6swUa3bglrzE9W6rTg5+BHidTPBXrNaVezh3GtaOFb1K7vLv8Ld0Z/pUa8Q69nySqCtwWg1saFkAyuKV+Oscuam6BsZHZyMk4J9i3JDHYvz9rA0by/1ZgPjwnvxTM+ZbZo/R63TsL04i61FWewozqbGqCfcw5vhYXHc3X0wI8PjcVfIeVyl07EzP5ftuTmk5OVSUq/By8WFpKgOPDU8mXHxHQnzunRt1hpN7M7Mo06v59p+Pf6wf4c6ha1F25s8/1jpEZJUgy/ZvqQBlWPLVuLWG09SVreQivrlWIWOAI8pxPg/jbfroEteVVNQf4QtpR9QayphcNBt9PG/1i4OHSEER2uO8VPez5QaykgOHsGMiGsUrXJltJpZX3SUH3JTyKgrobdfNC/3uZExoT3bLH+O3mxib1keW4uy2FqUSU5dFR5OzgwJjWF+v9GMj+pCmEJh5EaLhYNFhWzLy2Fnbg6p5WocVSr6hIYxq3tPxsV3omdwyCX/HlmtguOFJezMyOX+0UP+sD+t9kyzfZyqzKpLstsWXHGOneYwW2uprF+Dun4RGsMhXBwjCfO+nSCvWbg6XXpZxXpzFbvUX5Bas45I997cHPtfAl3tM4tdpCvip/zFHKk+2jBj3vN5oj1avjTyctGY9SzL389PubtQ62tJDu3Ow12n0Mcvpk2W8lfqtWwpymBDQTo7ihs8yB19AhkVEc8zA8YyOCRasXw5hbW1bM/LYVtuNrvy89AYjUT5+DAiOpZ7BiSSFNWh2WpWF8NoNrM/p5BNpzLZkpZJSa2GEG/PCzp2OnrFc3fPeU1eq6S4hJUsu+S2SC6OEBZq9CmUaxZTqV2HSuVEoOc04gJfw+sSQh/OYhFmjlX9yp7yr3F2cGNyxDN09k62y/unNWtZWbyG9SXr8XPx476O9zIoYKBi77pVWNlWdoofcnZytCqXzt7hbepANljM7CnNY2NBOpsK0ynW1uHv6s7I8DjeGDKVEeFxBLkpM0teZzCwuyCPbbk57MjLoaC2Fi8XF4Z2iOap4ckM6xBNjK/fJX9XQgjOlJazOS2LzWmZnCgsxc3Z6YKOHV9nH17t+VKz1zvifvCS2iFpOTpTBmrNEso1izFZy39LTPoe/h7jW1Xs4Xzy64+wrexDqgwF9A+YxeCg2+xS+MEqrOyp2MfigiXUmTVMDpvI5PCJioaVZ9SV8H32TtYXH8XTybVNHchCCNKq1WwoOMOmgvTGfICJIR24v+dQksPj6azQLLnZauXob5NV23NzOFZagoNKRd+wcG7q2Zvh0TH0Dg3DqZlqVhdDXVfP1tMNerM7Mw+D2cKYrvEXdOyMCB7G+IBxTV7r/dD30ZTVXXJbJBfHbKmmQruCMs0itMYTuDnFEuF7H0Fe1+PiGHzJ160zlbGj7FPS67YR45nI9KiX8XW59DFac+TW57IwfxGptWkM8O/Pw50fULTwQ7VRy5L8Pfycu4cak5ZxYW3rQFbrNGwszGBjQTopJTkYLGYS/IKZ2CGB5PB4BgQrF0aZc3ayKjeHPYX5aE0mYv38GRkdwyNDhjIosgM+zVSzuhh6k5ndWXlsSctkS1oW5RotEX4+F3TsdPXpwqyeNzR5rTRVGn9h7yW3RUmuCseOwVxISe3/KNMsRAgL/h7j6RryzW9lgy/9R0gIwcmatewo+y8uDu5MiniaLt6j7PIjqzaoWV64gpTy3US4R/B4l0fp5dfT5naaokBbwaLcPawoPIAQgulRicyOSSLSo2UJqW2FVQhOVJawpTCDrUVZHK0owvm3xMfz+41mdERHxVbl6Ewm9hTms+O3WfKsqircnJwYEtWBx4YMY2RMLHF+/pf1PBhMZnZm5LLuxBk2n86i3mAkITSI6/r3YEzXeHpEXHg2xc3RjSiPplevObjLfBr2wmLVodYsoqT2CwyWAjxd+hIb8CKBntNwbGE+jKYo1Z9hY/HbVBnz6Od/PYlBc3BxsP2gx2AxsLFsM6uL12IVVmZFzWRs6BicHZSZDa43G1j5uwTsw4O78nHiXxkQEK+4A7movrZBb4qz2FWSg9Zsopt/CLPiezMmshO9AsKaLc1rK6xCcKKslB15DR2dwyXFmK1WeoaEMiOhGyOiY+kXFn5Zy4+FEJwsKmXtiXTWnTxDQVUtQV4ejEqI577RQ0iKj77geY4qx2b1BsBFoWfnz4YQghr9DoprP6VWvwtnxzCCvW8i2PMG3Jwv/H21FJ2lhu2ln5BWu5EYz0FMjXzBLqsChRAcqT7KL4XLydPmMzxoKDOjriPApeUhZ5eDVVjZpT7DT7m72VuRTpxnME90n86kiL64OSr73J5NfLy5MIPtxVkUa+sIdvNkXFRnHuw1nKTQGDydlcn1UVhX29C/yc1hV0EetQYD4V7eJMfEMm9AIsM6ROPjenkrKEpq6lifms66E+kcyivC1cmRpI7R/HPqaEYnxBPsfWFHubezN6EeTa8m8XX2QYN07NgDvSmH4trPUGuWoFI5EOAxmRj/Z35bnXPpv89nVwXuUv8PDyd/rol8iTivJLv85hfpillW+Cv7KvcT6xnLP7s9SYJ3F5vbaYpsTVljBU9nlSPXdRjEDTFJhLq1LCG1rTgb0rm5MJNtxVmcqCzB1dGJ4WGxPK9wPkCN0cju/Dy25+WwIzeHvNoaPJ2dSYqKZv6wkYyMib3s4g5ao4ntZ7JZd+IM285kozOZ6RkZys2D+jC2W0e6hF448sXd0b3ZPk61u1yxowj1xlRKar+gon4Fzo7BRPn9nWDPWTg5Xv6LU20sYnPJO+Rrj9DPfyZDgm+3ywCrwlDBr0Wr2FG+kwCXAP4adztDg5IUiTEXQrC/MpOfcnaxU32aEDcf7ogfzbUdEvFxVm4GTWMysLM4hy1FGWwpzEStryfU3YvkiI7M6z6YEeFxeDkrk6U+u7qKbTnZbM3JZk9hPkaLhS6BQYyJjef55FgGRURddq4cjd7AjvQcNqdlseU3Z06/6HAeHJPEuG4difRXVvglLcNkqaCs7gdK6hZgEfUEe95AmM/tuDu3POdXk9e26tlb/i2HKn8mwr0nc+I+t8sAy2g1srlsK6uK1qC36hkfOpYp4ZPwclKmJG6htpKfcnezovAAZquVKZH9FE/AbrFaOVxexJaiDDYXZpJWXYa7ozNJYWedx52I8lLmHazW69iRl8u2nGy25WZTodMR5OHBiOhYbu7Zh+HRMZedK8ditXI4r4jNaVmsP5lOYXUtkX4+TOzZmfHdO9M7MgwHB+kIbm9YhZFK7VqKaz9DazyJj9swEkIW4Os2/JLDyc/SUL58G1tLP8RB5cjUyBfo6DXM5gMsIQTHa06wtHA52fXZ9Pfry13xdyq2Cvn8Cp6DAjvxdv+5DFM4AXtuXVVjlc59ZQ2VMXsFhnNjxz4kR8QrFtJ5Ntxha24223KyOVNZgaujE4Mjo3hwUBIjo2PpFBBw2c9BTkUVm09lsvFUBofzivF0dWF0Qjy3DxvAsE4xeLhIJ3B7RGM4QnHt51Rq1+LqFEVMwLMEeV572RNWABWGXDaVvE2p7jQDA28iMXAOTnZIVlyqL2VZ4Qp2V+wh3C2Mv3W8h8SAAYq872creC7MSWHvbxU87+s8gWuiBuLppFylrVqjnu1FWWz6zXlcadAR4eHD6MiOPNRrOMPDYhUJ6RRCkFFZydbcLLbm5HCgqACT1UqP4BCmdE5gZEws/cMjLnuFUI1Oz/Yz2Ww6lcn2M9kYzBYGxkby94kjGNetE6E+yvRv2wtXnGPHKkyoNasp03yPxnAIN6eOxAW+RqDn9FZnYb8QFmHmSOVS9pR/ja9zODfGvEe4e3cbtPxcKo2VrCxazVb1dvycfZkbcyvDg4YqEmNusprZXHKS73J2cLq2iL7+sbzW92ZGhnRTLNazVFvHpsIMNhScYVdJLiarhb5BEdzWZQBjIjsqlvjYYDazpyCfrbkNzpzcmmq8XFwY3qEhCenImNjLiiM/S4VGy4bUdDanZbEnKx+L1Ur/mAgeGpvEhO6dCfNtmzwikotTpz9EQd0iKrVrcFC5Eup9G2E+t+N8GUuRf09+/WE2lbyDzlLNqNAH6OU3zeaVIIxWE9vU21lZtIp6s5axoaOZGj4ZH2f7z9QIIUitKeC7nB1sKTlJiJsvd3YczfTIgfi6KJO0UGc2sbMkhw35Z9hcmEGFQUuUpy9jIjsxv98ohoTGKBLSKYQgVV3WqDeHS4pRAf3CI7ij7wBGxcbRNSj4sgd5RrOZHem5bDqVwdbT2VRpdcQE+jGpZxcm9exMjwjlEstLWofRXIK66mfUmkWYrBUEeEwmPuA1PF172eT6daYytpR+QLZmNz18JzMi5B5cHW3b8RVCkFp7iqWFy8jQZNLHtxcv9HiWOM9Ym9ppinJ9LYvy9rAkbw9Gq0VxB7JVCI5VFLOhIJ2NBWc4U1OOt7Mrw8Pj+NfgSSRHdFQspLNUo2FLThZbc7PZlZeHxmQkzs+f5Ng4/jliFIMiIy876fvZlYAbUjPYdCqTTHUlvu6ujOwSx13DExnWKQZX5ytuuPGnwCoMlNUto0zzA/XG43g4d6dT0LsEeExGpbr87+xscuT95T8Q5BbPTbEfE+x2+ZNh51OmV/NrUUPUQ7BrMPPi72KIQonYDRYT64uP8V3ODrI1ZQxugwqehfU1bCxIZ0NBOntL8xAI+gdFcXe3wYyJ7KRYSKfOZGJXfh5bfnMeF9bV4uvqxoiYGF4fO5HhMTE2qQpcWqth/cl0NqdlciCnIb/fwNhInpg0kvHdOxHk9eetPNxmSpudnU2fPn1Yv349Q4b8Md6tKU4UTQOnot/Crb7Dxy3JJoMgIQQ59fvYUfYpNcYiEoNuITHwZhxVtvVq5mnzWVO8jr2V+/B28mZO9M0kB49QxKFTrKvil/z9/FpwgGpjPWPCevJUj2sVifU8m4h0/e9iyd0cnRgRHsergyYxKlK5jk6lTsuWnGw2ZmWyIy8HrclEQmAQEzt1ZnRMHP3DI2ySbb3eYGTTqUxWHktjV2YuLo6ODOsUy0szxpLcJR5/z/ZTnm/RokXs27cPrVbLTTfdxMiRIxv3WSwW7rvvPiIjI8nNzWXMmDHMmTOnDVt7aVyq5pwqvZkAnz7EBrxEoOc1ODrYxhlRbSxkZ9nnZGp2EueVxOjQt/F2to2z6Cx1pjo2lW1hY+lmdBYdo0OSmRY+RZGkgTqzkXXFR1mav5e02iISfCJ4ScFkgWpdPZsKGzo6Z2PJ+wSGc2fXRMZFdVaso2O0WNhbkM/G7Ew2ZmVSrKkj2MOTkTGx3N6nP8OjY/B1u/yEkVar4EBuASuOprH+ZDq1egN9OoRzx7D+jOnakfjgy5+JtyVXu+Zcqt4cLZqAp7svwV6zCfG+CVcn2/w+m6w6DlQs4lDlIjydApnZ4S06ePa1ybXPYraa2V95gDUl68nV5tLDpzvPdv8nnbxsP5A7HyEE+ysyWZq/l21lp/BxdueW2OFcHz0EPwUcyAaLmZSSHNb/5jxW6+uJ8PBhfIfOPDdwPINCOuCsgO4JIUirKGdTViYbsjI4XlaKq2NDCPnjQ4eTHBNHjJ+fTWzlVlSz8ugpVh47TU5FFRF+Pozt1pFnp42hf4xt+lG2QurNhTlWOBkH5woCPCcT4/8sXq62ybEnhCCjbgc71Z+hNVcxLPiv9A2YicNlrjY8n0xNFmtK1nGg8iBBroHcGfcXhgYl4WhjOxciv76Cpfl7WVF4kHqzgYnhfXi1z02KVPAUv6Wt2PCbMyetugxPJxdGRsTz76SpjIroiJ+rMmMMtbaezVmZbMzOZGdeHgaLmZ4hoVzbtRujYuPoExp+Wbm5zlKnN7D+ZDorj6WxNzsfDxcXRnSO5bWZExnRJRZf97atKvZ72lJv2sSxY7VaefPNN+nR448J0y6Gh0s3OoV9g5uz7ZIXVxsL2Vr6Ibn1++noNdzm1WeEEJyoPcma4nWcrE0lwj2C22PnkhQ42O45LYQQHK7K4afcXWwrTcXf1YtrOyQyI2og4a0oqXopWKxWDqgL2FBwhvUF6eRrqgly82RsZCce7DWcYQotBwTIq6lmQ1YmGzIzOFBciKNKRVJUNE8OG8nYuHgivG2zcsFgMpOSkcvq46fZnJaJyWJlWKcYXp85iTHdOrbLJci1tbW8/vrrHDx4EL1eT2JiIseOHcPhNyHesmULpaWlfPrpp1RXV9O1a9crrtNzOZrTJeRzwvwn2KwtJquefeXfcahyMb4uEUyPepVYz8uLXT+fEn0p60rWs7N8F84qJ8aEjGZc6BhFHDrFuip+ztvD8vz96C0mxoX34u/drqG3X7TdHQtZtRWsz2+YJT9UXoizgyPDw+N4fuB4xkR0JFShCg+1BgPbcrPZkJnB1txsNEYj3YKCmdW9B2PjOtIzJNQmoRdCCFKLylh94jSrj52mpFZD17Bg7h6ZyNTeXQlvpysBr3bNuRy9ifJ7hJjgv15WMuTfczbsanvZJ5isOgYF3Uo//+ttGgahs+jYVraddaUbqTJWkRgwkL/E3kpHr9aXP261bbOR1UWHWZS7i+x6NX38Y3i+1yxGh/bA1c75c2oMut9WHqezvTgLrdlEr4Awbu3Sn3GRnenmf+lVXFqD2WrlQFEhG7Iy2JCVQUFtLUEeHoyN68hDg5MY1iH6slflnKW0VsO6k2dYdew0xwpKCPT0YHKvLrx+/UR6R4W1K+fxWaTeNI2P22A6hv0DV6dwm7WnwpDDlpL3KdQdI8FnLEOD78TH2Xar5azCypHqY6wpWcuZunRiPGK4p+PdJPoPsPskuRCCfRUZLMzdxS71GULcfLg5dhjTIwcS7GbfFdAmq4W9pXm/TZBnUKStJczdm3FRyq48BsiqqmzQm8wMDpcU4+LoxLAO0byQPJrRcfGEeNpmFajOaGJHeg6rjqWx9Uw2QkBylzjenT2N5C5x7XIlYFvrTZt8Iu+88w733HMPjzzySJPHmM1mzGZz4996vR6ATsHv4uZsG6+cwaLhUOUSDlYuxNc5wuYzWEariX0V+1hTsp4CXQHdvLvyWJdH6O3b0+4/fnqLkQ3Fx1mUt5vTtUX09O2gyGy52Wplb1keq3PTWFdwmgq9lnifAKZGd2V8VGf6BkUqVh44raKcNeln2JCVwemKcrxdXBkdF8d7vacyMiYW78vItv57rFbBnuw8lh1OZUtaFhqDkf7RETwxaSSTenSxy8ocrdlAZl1pk/tLNWrg/9+bszg5OeF0Xo6gvXv3kpCQgEqlwt3dHU9PTzIzM+ncuTMAQUFBVFRUAKBWq+nTp48tb0URLkdz/NxHNnVKq7AKS8MMVtnnGKx1DA+ZR2//6TjaYLkz/FblSJPOupINHKo6TJBrIDdGzWJE8DDcHO07kyGE4GBlFovz9rC1NJVAV2/mxI3gug6J+LvYN745o6ac1XlprM5L43S1Gj8XN8ZEduKubg35uZRKRKrW1rMuI50NWRnsKcjHKgSDIqN4dMgwxsd3JMrHdnl7ciqqWHrwJGtPnCG/qoZIPx9m9O3O1N4JdG4iOeDlYBaWZvUGGpajWywWqTlcnt6E+9xpM6eOWp/BTvXn5NUfpJvvRIYF34Wnk+0mdMoN5Wwq3cIW9TYswkJy8Agmho0n2NW2Kw8vRIG2gqX5+/i14AB6i4mJ4X14uc9NdPGx3QD1QlQZtKzLP8OavDR2leQCNObnGhfVWbFEpAazme25OazLTGdzThbVej0d/QOY1rkr4+M70ics3GZ9rTq9gRVH01h9PI2DuUV4urowrltHHhyTxJD4aJwcbR9uUmWoR9OM5lQaNFitVqk3XJ7exAe9hquTbfoHOnMNByoXcqRyKUFuHZkd8wFh7t1scm1oKPqwq2I3a0vWU6IvpY9vL+Z3fYKu3gl2H1PVmw2sKTrMz3l7yNaU0d8/jtf73cLIkG442jHcymixsKskh9V5aawvOEONUU+CXzAz43syPqoLvQKUcaYKITheVsrqjDNsysoks6oSfzc3xsR1ZN6ARIZHx+LhbBvnscVqZUd6DsuPnGLb6SwMZguJsVE8O20ME7p3wscOK3PqTc2PqfLry4ErY0yluGPnyJEjAPTt27fZ41555RVefPFFu7RBb6nlcOUSjlT9AsCQoL/QL+B6m4VdVRor2Vy2la1l29BadAwKGMjd8XcS62mfEum/J7++gsV5e1hZeBCdxcSY0B78o/t0evldXvWM5rBYrexXF7AyN5W1eaepMGjp5h/C7QkDmdyhKx19A+1m+3zSKypYmZ7GqvTTZFVVEebpxfiOnXh6xCgGRdq2jF9JTR3Lj5xi6aET5FXW0DsqjAcVyplzojqfm1Pea3K/saIOs9mMu/u5TqXnn3+eF1544Zxt5eXleHn9/+Db29ub8vLyRhHq27cvgwcP5t577yU9PZ3777/fdjeiAG2tOVZh4XTtZvZX/EiVMZ8En9GMCLkHTyfbvBdGq5E9FXvZULqJPG0+HT3jua/TPQzw72/35cgas57VhYdZnLeHnHo1PX078GLvGxkT1gNnO86cZddWsjL3FKtyT3G6Rk2QmyeTOiTw3IBxDAqJtsmy35ZQqdOyNiOdVeln2FuYj6ujI8kxcbw+diKj4+Lwc7OdU1dnNLEhNYNfDp9kT1Y+YT5eTOmdwKQeXegZad+cOZUGTbN6A5CpKeWHH35gypQp52z/s2lOW+sNQIkujX0V35Ot2U2Qa0dmRb9DpIdtcvQIIUirO83G0k0crDqMr7MPU8MnMzok2e5J2C3Cym71GRbn7WFX+RmCXRtmy2d2GGRXB3KtUc+6/DOszE0lpSQHR5UDyb+FPIyJ7ISPizIhAEaLhR15Oaz+bcJKYzQyIDyCewYkMj6+E/H+tqtiKoTgQG4hvxxqcCALYFy3Tnx4y0CGK5AzZ2XhQRalHm5yf1HuLsJTtX/6Pk570Jt6cxWHKhdxrGoFTipnRob+jV5+19gs7EptULOpdAvb1DswWY0kBQ7hwU73X7RSoy3I0pSyOG8PqwsPYxFWxof35uXeN9LFxz7l2aFhgnx3aS4rc1NZl9/gzOkdGM693ZOYHJ1AjLcy1QSFEJwqV7PyzGlWp58mr7aGDj6+jI/vxCujxzEgItKmfa2CqhqWHU5l6aGTFNfUMTA2kscnNuTMaap6nq04VJXFwmb6ONocNXV1dVeE3iju2Fm1ahUAr7/+Onl5eXz77beYTCZGjBhxznHPPPMM8+fPb/xbr9fj7395D7PJquNw5S8crPwJBxwYEHAjffyvtUniQKuwcqo2jU1lWzhcdQQvJy/GhIxmdEgy/nYu6WkVVlJ+6+zsLj9DiJsvt8aNZEbUQAJc7dPZEUJwpKKocXBVqtOQ4BfMHV0TmRLdlTgf5cqk59fUsOJMGivOpHG6opwQT0+mdOrCG+Mm0i/MttUmDCYzm9Iy+eXQSXZl5uHt5sK03t24cWAvuoTZfqbcYrVesNRyT78OvDXsb02eV1pcwlinL6irO7cc6PmeZWjwHms0msa/6+rqCAr6/3tZsmQJ5eXlLFiwgJqaGjp37szEiRPx9LwykpO1leYIIcjS7GKX+svfHDpjmBb5PAGutnHwluhL2VK2lR3qneitBgYFJHJ77FxFwh8y6xo6O2uKDmMRgkkRfXi5z2wS7NjZKayvYVVuGitzUzleWUKgqweToxN4IXECicFRipQkB6gzGNiQlcGKM6dJyc/FUeXA6Ng43p80lVGx8TabtYKGZ+hoQQm/HDrJ6uOn0ZlMJHeJ4+NbZzCyc6zN71kIcUEHUYCrFz8Oe7jZc6/zWs0tt9zC559/fs72P5vmtGUfp9KQxy71l2RqdhLqlsA1kS8T5zXEJk4/rVlLSsVuNpdtpUhXRCevTtzb8W4GKhD+UGPUsqLwIIvz9lCkq2JgQDxv9L2FEXYs+KA1G9lUkMGvualsL8oCYGREPG8nXcPYqE6KVeq0WK3sLSxgxZk01makU2PQ0z8snEcGD2Vypy6Ee9t2Eqm4po7lh1P55fBJ8ipr6BoWzGMThjO9Tze7zJQ31ceZFjmA63o2vVr2412CevcqduzYcc52qTfK6U1D1MPPHKpcgouDO0OC5tLL/xqbVBC2CivHao6zuXQLx2pO4Ofsx5TwSSQHj8TH2b4Tp2arhe1lp/g5bzcHK7OJdA/g7k5jmRY5wG4FH6xCcEBdwIqcVNbkpVFh0NIrIIy/9UhianRXorz87GL3QmRVVTaOqbKqqojw9mZq5wSmdk6gV4htJ5F0RhPrU9P55VAqe7PzCfT0YHrfbtwwoCdxwbYfRzalN/3943lx2Owmzzvjf4q7vFdTVlZ2zvb2qDeKO3aefvrpxv9fu3Ytt9122wUTfV1oedOlorfUcqJ6DUeqlmK01NMv4Ab6B8zC1fHyP8R6s5aU8hQ2lW2hRF9KZ69OzIv/KwMDBtg9f061sZ5VhYdYmr+PfG0FiYEdeaPfHEYEd7VbZyezpoJlOSf4NSeVPE01sd7+zO7Uh2kx3ensa3vHRlNUaLWsSj/N8tOnOFxSjL+bG5M6deGF5DEMjIi0+YAnvbScn/YfZ+WxU9TpjQzrFMPbN05hTNd4XGz0nP4eo8nMr3tS+Xrdfla88tc/7PdwcqWjd9Mxy+51FgDcWpCUdfDgwTz55JMIIdDr9dTX1xMfH09+fj4dOnSgqKiIkJAQoMHz7GzDgasSKK05VmEhsy6FQ5U/U6I/RSfvkUyLfAF/18sv8WsRFo5WH2dT6WZO1J4kwCWASeETGRk0Aj8X+5boPtvZWZq/j30VGUR5BHB3p3FcEzUAH2f7JOmrMehYlZfGsuyT7Ffn4+3syuToBJ7oO4qk0BjFVuYYLRa25WSz7PQpNmdnYRFWRkbH8ua4SYyL74iXi23Dvaq0OpYdTmXxgRNklVfSMTiA+0YP4Zo+Xe1S7UEIwcH0Aj5duYfPH7vhD/udVI7N6g2Aq6Mzjo6Of3rNaYs+Tpk+nSOVS0mr3USAS7RNHTp52nw2l25hV8UeBIKkwMHcE3+XIiuQT9UU8kv+PtYUHcFJ5cCUyH7Mih5CnFeIXeyZrBZ2FmezPOck6/PTMVrNDAuL5dVBk5jQoYtiK3OEEJxQl7E87RQr09Moq6+ne1Aw9w5MZFrnrkT62Dbcy2SxsCUti0UHjrMrMxcfNzeu6dOV6/r1oHuEfT7roopaFqzbT25ZFZ8+MusP+/1dPQltRnMCXL3QOdRIvWkDvdGaqzhevYojVUsRwsrgoFvp438tzg6X/37UmerYrt7B5rJtlBvL6e7Tjfs73Us/v752dyCXG+pYUXCQX/L3UaqvYWhwF94d8BeGBHW2W3WrtKoyluWc5NeckxRr6+jsG8RfEgZyTWw3Yr2VmyAv1WhYcSaNX0+f4oS6jCAPD6Z2TuDNcZPoFxZu8xXBJ4tK+Wn/MVYfP4PBZCa5Sxwf3jKdkV1i7ZJ0XWc0sXTHcX7ccpiVFxhTeTo3P6bSeTakt7gS9KbNsg599tln5ObmsmDBAgICAujSpYvNbdQYizlcuZiTNWtxUDnSw3cyAwJvuuwYcyEEGZpMtqq3sa/yAADDApO4v9PfiPa4/MHbxWwfrc5lad4+NpUcx8XBiYkRfexaylOtq2dlbirLsk9wrLKEEHcvronpzozY7vRUKL4TQGsysSErg+WnT7EjNwcXR0cmdOzMg4MakgPaWgyMZjMbUjP4cd8xDuYW0sHfl78OH8j0vt0J9bHPSiiDycwvKSf4ev1+Kmq1XDu0p13s/B4fHx/mz5/PY489hlar5aOPPiI7O5s5c+awd+9e5s6dy7333stLL71EaWkpzz777BUxk3U+9tYco1VHavVaDlUups5cRpzXEGbHfEiYe9fLvnaFoYJt6h1sV++kylRFT58ePNz5Qfr69bZ7Oc1iXRXL8vfza+FBKg0ahgR1tmspT4PFzJbCTJblnGBLYSYqlYpxkZ35LHkWI8PjFEsOaBWCA0WFLD99itXpZ6gx6BkcGcXzyaOZ1KmzTcOs4LdVkPnFLNx3jLUnz+Dk4MA1fbrx2vUT6WWnUCshBHvT8vhs1R6OZBYxsIv9KyTCn0Nz7K03Zyt5Hqz4iULdMQJdYhkf/jgJPmMvOwTCYDGwt3I/W8u2kVmfRahrKNdHXcfwoGF4Otm3wtTZanq/5O/jVG0hsZ7BPNBlItOiBuDpZPtVMkIIjlYUsyznBP/H3nkGRHWmb/+nSEek9957UwRRQUHAXqOmZ5NN22y2ZEuy2Z7sZvtme3bf7S2a2DuKNBEVRXqfYWbovZdhmHbeD0j+2SQalTmTZNfrUzJnOM/jwNznuct1XadaGxmaUbLUyZOXE9aywSfMaG6dMGvycKK5iWPNDchHRvCxXcLeyGi2hoQR6GB4Snvv2AQHr9dysLyOwckpVgX58Ys9m1grUsMKoHNglL+dK+PklQac7Kz59PrloqzzbtyLN4bByEwH5cMHaBrPw3SBBdH2W0hw2I2FyfwmaObonYX9FygfqcB0oSmrnFJId1mLh6W4mlmCIFA2LONI+zUu9DdgZWLGJs+l7PFNxstKHBmJHuU4J1obOKaop2m0H0/rJezwj2KLbwRh9uIUUj8IEzMznJNJOd7cyJXODqxMTVkfFMxLq1JJ9vQ2eIN8Wq0hp07C22U11HT2EuDkwPNrk9kSG46jjTjPFaVKzcHiGv6VV45SpWZXaowo67wbH3W8WSAIgmCwu4kIlUqFpaUl09PTH1ox61NJqBg6gHSiGJtFTsQ73EfkkvWYmczvD2dSO8nlwVKKBi7QNd2Nj5U3a5zTWOGYhJXIhx2ldoac7ioOt1+lZbKXMFtPdnovJ8s9BisRDjtKrZrcDgnHFPWU9CqwMDFlvU8oO/yjSHbxMRrtQavXc6m9jePNjeTKW5jRalnl48e20HAyAwKxNnCnHGancw5X1HO8qoHx6RnWhgXwwPJYVgT4sHChOEWs6RkNh0tq+ef564xPqdixKprHMpfh5vD+B+azzz6Lr68vL7/88k3v193dTWBgINPT06Ls938BtxtzlNoRqkeOUT1yAp2gJnLJeuIcdmFnNj9a0tx0TlH/BWrGarFZZMNq55WkOafiZiFOEXcOekHPtSEZh9pLKelvws7Mmq1ey9julYiHleGppXpBoKy/g2Ot9Zxpb2JCrSLFzY/tfpFk+4Sy2Ei0B4DmoUGONzVyUtJE18Q4IY5ObA8NZ0toGJ4Gcs97N0aU05ysbuTQ9Tqk/UOEuTlz//IYNseEYW0ujvCzIAiU1Cn4c841ahU9JIf78OSGJBKC31/YycnJ4ZVXXqG0tPSW90xMTOS1114jK8twDnL/S7jdeKMTNDSPF1IxdIAhdSu+1okkONyHt1XCvIt/7coOivovcHmoFLVezVL7BNY4pxJuGyZ6AbltapDD7aWc6qpgRqch3S2KHd7Libf3E6Wo2T4xwrHWeo4q6midGMF/sQPb/SPZ7heJj5E0LOD/po9PSpoo7+nGwcKSTSGhbA8NJ06ETrlGp6OoWcHh8jouSluxs7JgV0IUu5dF4e1gZ9C13o3W3mH+dq6MM9cacbNfzKc3JLEpKRzTRe8vQpqZmdHR0YGr682fc6+99hpdXV288cYbou35vxl3klN1K+spH34b+eQV7Ew9SHDYTdiSdfOe0BnXjFMyeJmi/mL6ZvoItA5gjUsqSQ7LMTcR95k/oZnmdFcFh9qv0q4cJMbOhx3ey8lwi8ZCBDe9Cc0MZ9ubOaao40pfG4vNLNjkE8Z2/yiWOXsZxVQGZqePi9sUHG9uJE8uRy/oWePnz7bQCNL9/Q3mnvdu1Hf3cbi8nlM1Tag0GtaFB3H/8lgS/TxFGwyYmJ7hQFE1bxZUoFJr2JMWyyPrluJo+/4Cyp49e8jIyOCZZ5656f3q6urIzs6mq6tLlP0aEh8/n7C7hE7QIpsooWbkBF3TNTibB5Ll/hLBtmnzcp0RBAH5lIKC/kKuDl1j4QITkh2X86T/E/hbi3PgeDekEz0cab/G2e4qNIKOTLcYvhm9k4glhu+sCoLAtf4ODspryGlvYkanJc09gF+kbGWdV7DRrMkFQaCit5sTzU2ckUoYmlYS5+rOV1asYlNIKM5Whu+kTM2oOVsn4WB5HdUdPXja2fJIcjw7EyJFFUJu7x/h8MVaTlypZ0atZefq2YKOs524IpT3MH/0TTdTPXIcyUQhZgutiHPYQazdNiwXzY8SNaIeoWigmKL+YkY1o0TYhvNc0DMk2MWLPoo8op7kZGcFxzvL6FAOEW/vx/di97LWNVIUemfH5CgHZTUcUdTRNTVGuL0Ln41MYatfBG5GsiYH6Bof54SkkRPNszpd7jY2bAkJY1tYBOFOhnf40esFrio6OHi9lrxGGaYmC9kQHcqr2zOJFdEyeGJ6htNXGzlcXIOsZ4hVUf787at7iQ0QTxvpHgyDKe0QdaNnqB09xbR2lBDbtWR7vIyzReC87qvWa7g2XEZBX+GN6RwXtnpsZpVTCramYtv3ainqa+BoxzWuD8txt7DjsYA0tnotFUUMeVIzw6m2Rg7La7k+0ImjuRVb/CLY7h9JjIPhiyg3w5RafWP6uIlLHW2YLlzIuoAgPrMsidU+vqJQEVqHRjh0vY7jVQ0MTipZEejDT+7bQGZEoGjTOTq9nsv1rRy6WENJnQIfZ3u+9XAmG5aHifJvvAfDQatXI524QM3IcXpVTbhZhLHJ8zsE2KyY10TgnHtnfl8h10fKMVtoRorjCp53MQ7joWGskyMd1zjfW8MCFrDeI44fxD0gipueXhC41NvKIVkN5zolCIJAumcQv0/dyRqPQKNOH1/r6uREcyM5N3S6Ej08+VbqGjYGhxh8+hhmnfRO1TRx8HodjT39+Dna83RqItvjI0Shk8+hpWuQwyW1nC5tQAD2pMXycEYC9ovFHb74OOETX9iZ0g5RO3qautHTKLUj+Nsksd37x/jMs3s1O4p8jfy+QlqVbXhZevGg7wOscEzC0kQcPYk5qPVaCnrrONx+lerRNrytHPl0UDqbPROwMzP8F6JPOcFheS0H5TW0TowQae/KV2LT2OoXiaOF8b4MitERjjU1cLypkfbxMYLsHXg0No4tIWH42Rm+gyYIAjWdvRwqr+NMbTManY6M8CA+l75C1OkcjU5HcbWcg8XVXGvuwM1+MQ+mx3Pf6pj/qeDzScTcYad65Dh9qiYczf1Jc/nsvLtXc+Lrhf1FlI9UYr3IilTn1aQ5p+JqIe5oriAI1I62c6j9Kvm9tZibmLLBI46feD9E4GI3g6+n0mo41yHhgKyay31tOFlYs8M/ip3+UUYdQx6fUXFGKuFYUyPXujuxs7Bgww2drkRPcTpovWMTHK1s4EhFHZ0j48R4ufGtzWvZGB0q2nQOQENbH4eKazh7vQkEyE4M5XuPryfM23if9z3cOQRBoHu6jpqRE7RMFGNmYk3kkg3E2G/F1nR+U3t9qj6K+ospHixhWjfNUvsEdnvvMop1cN/0KEc7yzjWUcaoeooU51B+nvAIKc6hBrcOFm6Ikh6QVXO6rWnW2cYrhL+u2c0qd39MRdIjfC/mpo+PNjdwXtaCRq9n9Q2dLrGmj+eESQ+X11PW2omrrQ27l0WzMyESL3vxNNkGx6Y4drmOIyW19A5PkBjqzY+f3MTauCCjTXvfw91hXNNH7egp6kfPMKObJHDxSla5PIOHZdS84oJSq+TKUCkF/UV0Tnfhb+3Pp/weJckhUfTpHJVOTW5PDYfar9I03kWgjSufDclmk0cCNqaG183qnBzjkLyGg7IaupXjxDt58O2l69jkE8YSc3Hzx3dDMjTI0aYGTjQ30jM5SbiTM88sTWRLiOF1uuD/nPQOXa8jt0GKIAisjwrh5Y1pLPMVbzpHrdGSVynlUHENVbJuvJyX8MSG5excGY2ttXF00T5O+EQWdgRBoFfVSNXIUVrG33XYsduCrdn8EpG2qTYKB4q5MliKRtCQaL+Mh3wfINgmSPTDTrdyhGOd1zjeeZ1xzTSpLuH8NvEJEh0CDb62Vq+noKuFt2XVFHXLWGxqznb/SH4XEEuEg7g0j3djZHqaU9JmjjY2UNXXg7OVNVtDw9geGk6Es4son/nI1DQnqhs5VF5HS/8QQS6OfC4jha2xYThYi1dY6R4a59ilOo5dqmVoQklKhB+/+MxWVkX53/FhZ0qrRjI6cNPrfWND893uPbwLk5pBakZPUDd6BpVunKDFq1nt8jQeltHz+hsd04xxceASFwYu0j/TT6B1AE8GPEGiwzLMRBZfV2pnbhx2SpFM9BBq68FXI7aS7R6L5SLDJxkNI3281VLF8dYGpjQzrPUM4v+l7mKtZ6DRkiu1TsfFtlaONDWQr5ABsM4/kD9t3s5qXz/MROgiz1EfDpXXUSJtZbGFOVvjwrkvIUoUJ705KFVqcsslHLpYQ0NbHwHuDnxu2yo2J4ez2OrODjtavf6W8QZApdPOZ7v38C5o9TM0jxdQNXKMwRkZLhYhZLh/mZDFa1i08O6/mxq9husjFVzoL6Zxogl7U3uyXNeR5rwaOzM7w/0DPgB6QU/ZkIzDHVcp7mvEzsyKrV6J7PBOxN3S8I2bQdUUh+W1HJBVIx8fJtzehRfj17DNLwJ7c+M0UObsgo80NnBC0sigUkm8mztfW5XG5uBQ7C0Nn+QJgkBDTz+Hyus4XdPMtFrDmtAAfv/wNlYF+bHIRJzCil4vUCbp4PDFGoqqZFhZmLJlRSS7VkXj53bnIrBDqinGbhFzBqen5rPde3gXBEGgS1lN1cgx5JOXsTSxI8ZuK1F2m7AxvftnlCAIyKbkFPVf4OpwGYIgkOy4nE/7P06Ajb8B/wUfjLapQY60X+VUVznTOg0ZblF8KXwTsXa+Bs8tZnRazndKebuliku9rTiYW7EjIIo9gbFGNZYZUE7N6nQ1NVA/0I+7zWK2hUawPSycEEdx9jEwMcWxygYOV9TRNjRKhIcLX81OZXNMqChOenNo7x/hSEktJ640MKFUkRodwO8+t5OksDtvzE9qZm55xmkdH57vdo2GT1xhp3msgMbp0/SpmnExDybD7UuE2K6d12FHq9dSNlJOXl8+LZMy3C3c2O65lZVOKUax1bs40MSxjjJKB6U4mtuwyzuJbd6JuFoYvqPSOjHMQVkNh+S19E9PstLNj1+mbCXLO8RoY4GzY8gyTkqauNjeiunChWQFBvPF5BRSvH1EcbrR6fVclrVzpLyO/CYZpiYmbIwO5fvbM4kRkfowNqUir0LC2bJmyqWdOCy2YltKJLtWR+PhePe/36rBbt48/eebXteOjN/1ve/hP3Gu64e0aa5gYWJLtN1mou02G+Swk99XwNXhMswXmrPSaQVpzql4W4kvXts01sXRzjLOdVehFfSsc4vma5HbiVziZfDvwYRmhpOtDbzdUkXNcC9+i+35TEQyOwOicbE0Dt1QLwiUdXVyQtJETouEUZWK5R5evJKWzobgEGzNxTl4yPqHOFxRz4mqRoaVSlYE+PCz3RvICBeP+qDR6bja2E5OWROFVS1odXrWxQfzwq5UEoLuvmM2qJoi+xbxBqD7Qwo/93B7uDzwd6SqXNQ6JcG2aWS4vTBvAfZh9QhF/Rco7L/ApHaSWLsYXgj+PNF2UZjMU2j5wzA4M8HprgqOdZTRNT1MrL0vr8buYa1rJKYGppbq9HpKehW81VJNXqcUy0WmbPOL4JcpW41q9NA6OjJrF9zcRMvIMN62S3ggKobtYRH4izB9DDCqVHGqppHD5fU09Q7g52jPM2nL2RYXLhr1QRAEpF2DnC1r4mxZM70jE0T7u/PtRzJZlxCChdnd/34Py2v5a3fDTa+PSq7zgFPQXd//HmZRP3qWxunTDM0ocLeMJNvjawQtXo3JgrtvLKn1aq4OXeN8XwFtyja8Lb3Y672bFY7Joouvq/VaivrqOdpRRvmwHDcLOx7xT2WL11IczQ2fz0nHBnm7pZqjilpG1SrS3AN4Y/VO0j2DRGkUfRDGZ1Sck7VwYk4EeZEpG4JD+MbqNSwXafpYo9NRLGnlSEUdFyQKrMzM2BIbxut7NonmpAcwPK4kt0LC2bImauQ9uNjZcP+aOLavjMJlHhIWV/va+e0tzjjqjt67vrex8Ykr7OT1/pxwpzRSXT6Du2XkvB7UQzPDFA4UcaH/IhPaCRLs4/la2FeNMorcpRzmeOd1Tt5wmklyCuJHcQ+w2iXc4FoWKq2GnI5mDsiqKe1rx9XSht0BMewJjDGaSOCMVktxWysnJU3kKWRodDpW+fjxk3XZrAsIMrhd8Bzah0c5VtnAscoGesYmSPDx4DtbMlgfFSIa9WFaraG4Rk7OtSYuN7RisnABqdEBvP7sVlZG+n2gWOCdIs7Jg9c3PXnT6309vWTxy3mvcw8wqu0h0/2rBC9Om1cBeUY3Q+kNemebsg0fK28e83uEFY5JmM3jvreDKe0MuT3VHO0oo2m8C19rJ54KWscmz3iD0zsFQaDsBvXhTFsTegQ2eIfyckI6SS4+Rkmu5uyCTzQ3clrSTO/UJGFOzjyVsIwtIWF42YpDQ5hQzZBTJ+FIRT3VHT24L1nM/ctj2BEfgadI1Ae9XqBG0U3OtWbOV0gYnZwmJsCdz+9YTfbSEIPQO50srNl3i3gDsOvnB+a9zj1A49g5lrpuJ9p+C9aL7t7uVhAEGieayO8rpGKkEutF1qxxTiXddQ0OZuLa6M6Jrx/ruMaF/kasTMzY4BHPdu9EgkSgd3ZOjnJQXsMhWS3dynESnb35UfJGNvqEGU0bsG9yklM3RJBr+npxtLRkY3AoP8jIYqm7hyhxT6fXc0XWzpGKevIaZSxauID1USF8Y9MalopIfegeGuNsWTM515qQ9Qzh5rCY9YmhbFweTpCnYaYCdgVEszc+5abXf984wczwqEHW+l/Ghb7fEemcQabbV3C1DJ3XvfpVAxT0F1I8UIJKr2KZ/VIe8X2QIBvDsw7ei7bJAY51lnGqq4IJzTQrnUP5ecKjrHAKNnhONaVRc7q9kQMt1ZQPduFpvYTHQpdxX0AMHtbi6pLNQaXVUKCQc0LSRJFCAcAaP39+lb2JdP8ALA1soT2Hlv4hjlU2vKPVlRzgzQ93ZpMZEYyFqTglhSmVmsLqFnKuNXGtqR0z00WsiQ3kqQ1JJIX7GmQKMcnVh+9veuCm1yUNjTzzm0PzXscY+MQVdh4N+BvOi33u+ufnbPVy+/KoHKnC1nQxa1xSWeOchqO5uIcdtV5LSX8TxzuvUzooxcHchq2eS9nqtQxPK8OuLQgCtcO9HJTVcLy1nmmthnTPIP6cdh9pHoGiTMW8F2qdjqudHZyWNnNWJmV8ZoZED0++viqNjcEhOFiKU7mfVM1wtl7KscoGytu6cLKxYltcBDsTIglwFud3rNZoKW1q59z1ZoqqZcyotSSF+/DthzNZExuIjaVhOcTWi8wIsbu5qKuNUmPQ9f6XscfnV1jOY2R+YGaAvL4CLg6UoNLPsNxhmVEOO4Ig0DjexYnO65y9MZ2z1jWSL4ZtFMVppk85wVFFPQdk1Sgmhom0d+Vr8WvZ5hdhFF65IAg0Dw2S0yLhpKSZ1tERvG2XsDM8kq2hYaKNIev0ekrlHRyvbOB8Ywt6QSAjLJDPpa8gOcDwlqFw49/aOUDu9WbOXm+md3iCAHcHHkpPIHtZCF7OdgZdb9HChbeMNwAWRpr4/G/HYwH/wMbq7pMDlU5FyeBl8vsK6Fb1EGQTyFMBnybRYSmmItM7+1Vj5HRXvTOdE2PnwzejdpLhFoWFiWGL1yqthvOdUg7IqmepDxZW7PKPZk9QLIG24tgUvxeDSiXn5S2ckjRR2tmBtakZ2UHBfCl5pWjTxwDygWGOVTZworqRvvFJYr3dRdfqGhibJL9CytnrzdTIe7CztiBzaQhffzCD2AAPg2sSOlpY43qLmONkaU0XowZd838RjwX+A0ebuxfPFwSBmrE68vryqR2rw97Mjmy3TNKcU7EzE0/HCUCl03Chr4FjndcoH1bgarGE+31T2Oy11OCMB0EQKB/o4qC8htNtjWj0OjK9QvhH+ipWufkbxdVqRqulpKONM1IJuTIp01otyV7evLI2gw1BwaJNH48qVeTUNXOssoGazl7cbmh17YiPEM1JT6XWcqleQe71Zopr5eh0AimRfnz/UxtIjQnA0tywzzIbU/NbnnHUtn0GXU9MfOJOYotN727ES6vXUjZ8nZzec7Qp2wmyCeKZwKdItF8qqtPMnAr76e4KcntqmNCoWO4o3nTOwPQUx1rrOCirQTo2iP9iB56LTGFXQBTORqA+qLQaittaOSdrIV8hY3xmhkhnF55blsSmkFBR7ILh/zpXx6sayWtsQacXWBvqLyqvfEajpbSxjfwKKUU1cianZ4gJcOdz21aSuTTkA2317uGTh7stgMgm5eT0nuP6cDn2ZnZscF9PmvNq0Z1m+lRjnO2u4kxXBYqpgXdN5yRgZ2bYYuqMTktep5RD8hqKexTYmJqz1TeCX6/aRpSD4Tvz74UgCNT09XJWJuVsi5S2sVGcrazZFBzC1qwNxLqKR79o6R/iRFUjJ6sb6R2fJMbLjZfWp7IhOpQlIvDKBUGgsb2f/Eop5yskdA6M4eawmOxloaxfFkqIl7PRqCb3IB7udipwVD3K+b58CvuLUOs1pDgl82zgU/ha+xp4h/8JlU5NUV8Dp7sqKRtqwXqRORs84tnhvZzAxYbV6xMEgaqhbg7JajnZ1oBSqybNPYA/GFGrq2tinFxZC+dapJR1d2Jmsog1fv78duMW1vqJYxcMMKKcJqdWwvGq2eTK1daGbXHhbI+LwF+khlX/6CQFVS3kVUiobOnCwsyUNbGBfHr9cpIjxHHvugfj4m6nAjV6DVeGSsnpzaV7upsI2zCeD/oM8fZxotI79YKe6pE2TndXkt9bi0qnIcUphNcTHmWFc4jBxdd7lOMckddx6Ia5TOgSZ74cm8p2/0ijaHVNqdVcaFNwtkVKYaucKY2GOFd3vrRiFZuCQ3CxFiev0+h0lEhbOV7VSEGTHJOFC1gXHsQX1qWQ5C9Ow2pareFyXSt5lVKKa+Wo1BoSgrz48u41rIsPxs7GeMLTn2R84go7d4pp3TRF/cXk9uUxoh4h0WEZj/k9QqBNgKjr9k6PktNdxZnuCtqmBvG1duJhv9Vs8IjD1dLOoGtp9DoKu2QcktdQ2CXDcpEpm33D+XHyRuIcxRkBfjem1GqKWhWcaZFQ1CpnWqtlqbsHzycmkx0YjPcS8ar2zb0Ds8lVTRMDE1PEervz4vpUNkSFYneHAqG3g2m1hsv1rRRUtlBcK2dKpSbKz42nNyaRkRCMu4PhkvbxSRVni+rZs3mpwe55D+JCL+ipGq0hp/cskgkpvla+PBPwJIkOy0QtICu1MxT1NXCmu5KyIRmLTS3IdIvhW9H3iaKd0zDcxwF5NccV9YypVaS6B/CrldvI9AoWXatLLwiU93SRI5VwTialZ3ISL1tb1gcGkxUYTIK7h2jds6FJJWdqmzle1UB9dz/uSxazNS6cbXERokwD6vUCda295FdKya+U0j00jpvDYjITQliXEEyUn+EKVzqdnpKyFtKSQwxyv3swDjqVXeT0nuPKUClWJlZkuWWS7rJWVH1AvaCncriVMzeSqxm9lmSnYL4fdz+rncMwNzFscWNgeoqjitnkSjo2SPASJ56PWskO/0ijNKzax0Y5I5VwVialpq8XG1Mz0gMC+O3GLaT6+IniaAWg1mq5IGnleFUDxRIFixYuZF14EJ/PSBFtGrB7aJyCqhbyKyRUy3uwMjdldXQAP316CykRfvPSzXkvpIp+2ruHyVg5Pw2pezAeJrWTFPQXkdeXz6R2imSHJD4T+LToVuUdU0PkdFdypruS7ukRgha78WRgBtkesTgZWDtnrmF1UFbDxV4FtqbmbPOP5LcBMUTYu4qeU43PzFCgkJHTIuFCWytavZ7lHl58JWUVmQFBeIjUIBcEgfruPo5XNXK6ppkR5TSJfl58e0s66yODsbEwvHvZlEpNSa2C/CopJXUKZjRa4gI9+dz2VWTEB+G8xHDxfWRMyfmLjf/1OdV/bWFnVD1Kbl8+hf2F6AQ9ac6ryXJbh7P5rcfJ57emkqK+es71VFM+LMfW1JJs91heidlDuK3h+c6y8SEOyWo4LK9lQDVFiqsvP12xiWzvUNF55VNqNQWtcs5IJVxoU6DW6Ujy9OblVWlkBQaJVkUGGJ5ScrK6iWOVDTT1DuBpZ8t9S6PYGheOn6PhNYNUai2X6hTkljdz8V2B57ktKayNC8LNwbAPlcHhSfYdL+NkXg2AUYLQgQMHuHbtGkqlkvvvv5/U1NT/uP6rX/2K4eFhuru7eeGFF4iIiBB9T58kzHWvzvSco0fVQ+ySGNH1ujR6LdeGZOT21FDUV49ar2Wlcyg/jHuAVS5hmBm4kDQ2M82JtgYOymqovSGE/GR4EjsDonCfB3XkdqAXBK53d5HTIuFsi5S+qUkC7R3YGR7J+sBg0Rz0ANRaHUXNco5W1lMibcNskQnZkcF8NTuVRD8vg1MQBEGgVtFLbnkz+ZVS+kYm8XJeQtbSEDLig4nwNezBUq3Rcjq/jn3Hy+jpH6Pk8FcMdu9b4V7MuXsIgoBkUsrp7hyqx2pwt3DnUd+HSXFaIZqbniAISCd6yeut4Vx3NT2qUUJtPXgmOJMs9xiDC5Nq9XqKe+QclNW8I4S8xTfCaA2rttFRzrQ0kyOVUDfQj52FBZkBQXwhaQUpXj6YiySAPpdcHa6oJ6e2mXHVDEn+3ry6LZPMiCBRqFY9w+OcL5dwvlxCfVsfNpbmpMUE8FhWIsnhvgYt5giCQEVdB/88XEp5bTvRYZ5GKezcizfzw9DMEGd7z3NhoBiTBQtZ67KGda4ZOJiJp9M5NDNBQW8duT01VI+24WBmw3qPODZ6xBNi627w9RpH+jksr+Gooo5RtYpUd39+vXIb64zQsBqfmSFP3sIZqYSS9jb0CKz09uGVtHTWBQThaCXedFD/xCTHKxs5XtWAbGAYP0d7Hl0Rz5bYMFG0AZUqNcW1cnLLJVyub0Wn17M02IsXdqayNi4IpyWGZTv09I/x76PXyCmqx9xs0X99TnXHf6kqlQoLi4+vL3zPdC85vWe5NHgFSxNL1rtlk+G6FptF4hQaJjUqivobyOup4epQCyYLFrLSOZQfxz/EKudQg7s+TGhmON3WyEFZDRWDXbhZLmZPYCx7g2LxtrEz6FrvhVKjoVAh57S0mcJWBRq9jmQvb765eg1ZgcE4iRh4tDo9l2RtHCmvo7BZjqmJCRuiQ/n6pjUs9fE0eHKl1mi50thGbrmEC9Uypm+MBH5xZyrpIgQemA0++4+XcSq/FtvFljyxN4UtGTEGX+e9GB8f50c/+hHl5eWoVCoSExOpqalh4Y1uoEwm4/Tp0+Tm5tLW1sZjjz1GUVGR6PuCj3+8UWqVFA5cILf3PBPaSZIdkng+6DN4WXmKsp5Wr6NiWMH53hoK++oZ10wTtcSb54KzyPKIwd7MsHFOp9dzqa+Vg7IacjskLFywgPXeoXw9IYMkF29Rkyu9IFDR080ZaTNnWiT0T00RZO/AnsgoNgaHEuLgKOr6kr5BjtxwtRqdniY5wIfXdmSxLiIIKzPDJs+CINDU0U/ujeSqe2gcb2c7NidFsC4hWBSa1bRKzan8OvYdu8bo+DQb06PYu8U4nayPa8z5uMcbvaCnYqSKMz05yKbkBNkE8oXg54mzi2WhgSkIc2id7Ce3p4a83lpapwZwtVhCplsMGz3jRRFClo0NcUBWzVFFHQOqKZa7GE8IuWNsjNPSZs5Im98p5mQFBPHVlNUke3mLSj0amZrmZE0jR8rrae4bxN/JnidWLmNLXDjuSww/fTUwNkleuZTc8maq5T3YWJqzNi6QpzclkxTmg5mBhVAFQeBqVSv/OFRKbVMXCVHe/Pybu1ge52fQdT4IH9d4Ax//mNOh7ORMz1muDl/DdpEt2z23stYlDUsTcWgxcw3y8701lA/JMTNZRKpzOK8nPEqyCELIozPTnGht4KC8hrrhXrxt7HgsdBm7A2NEb1hNzMyQr5BxWtrMxba5Yo4v30tfR2ZAIHYW4lGP1FodFyQKjlTUcVHairWZGRtjQvn+jixiRXAK/o8Gea0CjU5HYqg3L+1dy5q4IOxFoFm1dw/z5tFrnL3QgLODDZ99NI2NayMNvs578VHHm9uO3H/84x/5wx/+gEKheGejjz76KA888ADW1h+9lkinsosT3ae4NlyGi7kzD/s+wEqnFFHcZpTaGS72N3G+t4YrAxIEINkpmG9H72K1Szg2iwwbpAVB4Gp/B4fkNZxpa0In6MnyDuHz0atY5eYnyjjuHKY1GoraFJyRNlOgkDNzYzLn22lryRK5igyzIoFHK+s5XtXIwMQUy/w8eXXbOrIiQwyeXGl0OsqaO8i9LqGgqoXJ6RliA9z57NaVrEsIxnkeVnq3glTRz77jZRRcasLRwYbnP7WGTenRmBuwS3YrXL16ldDQ2ckSS0tLrK2tkclkBAcHA1BQUMDSpbMJn6+vL01NTajVasxEGj+Hj3+8mdJOkdubR27fefSCnjUuaWS5ZooiwK4X9FSNtJHXW0NBbx3D6ilCbT14xD+VdW7RBhdeB2ifGOGQvJbD8lmXmQQnT76bmMUmnzBszcQ7hOoFgareHs5IJeS0NNMzOUmAvT17I6PZGBxKqEgCyHMYVao4U9vM0cp66rr68LSz5aHkOLbHR+BpZ/hDXkvXILnlEs5db6ZjYBR3B1uyloWQtTSEMG9xppBGxpQcyankcE4lKrWWretieGh7Is6O4lF33ouPW8z5uMcbvaDn6nAZJ7pP0T3dTYJdHN8I/xohi4NFWa9TOcT5nlrO99TQMtmLo/liMlyj+GbUTqLsvA1eRHpvw8rDypa9QbHcFxCDr8jOnZ3jY+S0SDgtlVDT18sScwuyA41TzNHq9FxsaeVoRT1F72pYfWdrBnHe7gb//o9MKMmvlJJbLqFc2omlmSlpsYF8KjuRFeG+Bi/mAGi1OvIvNbPv2DVk7YMsj/XjjdceICZMnObHB+HjFm/g4x9zFFOtnOg6ScVoFR6WHjzh9xjJjkmiUMpv1iD/XuxeVjmHYbnIsL8HvSBwqbeVg7Jqzt1oWG30CeMbCeksd/ERVQh5Uq2mQCHjjFRCUZsCvTA7mfO99HVkBQSxROQiX3PvAEcq6jlZ3cSIcpoVgT78eNd6MsKDDO5q9UEN8qXBXnzpvlQy4oMN4tj5QaiTdLPvWBkXr0nxcLXjxWczyU6NYJEBHIlvBx91vLnt36JGo6GiogKAtrY2XnzxRfLz8/ne977Hz372M3bv3m2QDd0JBEGgeULCud5cKkar8LT04DOBT5PosMzgB48p7QyXBprI763j8oAEraBjmUMgL0VuY41rJLamhq82tk2McExRx1FFHW2To0Q5uPG1+LVs9YvATkSXGaVGQ9ENmlVhqxyVVstyTy9eXpVGdlAwzlbiPnSmZtTk1ks5WF5LZXsPbrY27IyPZHtChMGpVnOCpKdKGzh7vZnRyWkifF15amMS6wysmfPedctr29l3rIxr1a0E+jjx9ec3kLEy9LaCz5RajWRo8KbX+4aHgdlu0LuxaNEiFr1nhHxwcBAbm/8rWi1evJjBwcF3gtB7r9vY2DA0NIS7u+FHYefwcYw3AIMzg5zvy6eov5iFCxaS5ZZJlus6rBcZ9juhE/RUj7RS0FtPYV89AzPjBNq4sttnBevcY/C1NnyBY0IzQ057E0fkdVztb8fJwppdAdHsDoghcIl4LjN6QaCyt3tWw6JFQs/kJL5L7NgRFsmmkFDCHJ3EnQzSC5S1dnLwei3nG1tYuGABmRFBfDlrFcv9vA0+DTgwOsmZa02cvtpAS/cQLnY2ZC6dLeYYUjPnvejqHeWtk9c5XVCHpbkpuzbGs3N9PPZLPvxwpdXrbxlvAFRaLTqd7hMZcz6u8WZGN0PJ4CXO9Z6nf2aAZMflPB/0GTwt797F5mZonxqksK+e/N5amsa7sTO1Yq1bFF8K30S8g7/BRUl1ej2X+9o4Iq/lXIfknYbVF2JWsdJV3IZV5/gYZ6QSzrTMFnNszc3JDAjii0kprPT2EV0UuG1olCMVdRypqGdwUskyP09e2bqOrMhgg1OtVGotF2pknL7ayJWGVkxNTFgd7c9PntrMykh/g9Ks3g3ltJpT+bW8dfI6Q8OTpK8M4xuf20BIwO0Jag8plYzdIuYMKqfQ6/WfyHgDH8+YIwgCdeP1nO3JpW68Hl8rXz4f/Fni7eIMnlONa6a52N9IQW8dpYNS0RvkMDsNeERRyzFF/TsNq1cSs9jkG85iU8Prx8xhYmaGglY5OdI5zRwdK7xmaVZZgcHYz8N19bbWV81wpraZg9drqe/ux8v+RsMqLtzgVCtBEKiR93DqagO51yVM3GiQP79tJRkJwQbVzHk39HqB0ko5bx4to7qxk/AgN1798hZSlwdjchvmOZMfklO1jo4An4yc6rYj+tTUFKOjo9jZ2eHr60tCQgIvvfQSQ0NDfP/730epVPLYY48ZZFMfBr2gp3ykgtM9OSimWgmyCeJzQc+RYB9v0OAzoZmmuL+Rwr56Sgel6AQ9Sx0CeCFsI2vdIg1Oe4BZHYvT7U0cVdRxfaATRwsrtvlFsss/mggHwzpMvBvjMzMUtso51yLlQpuCGZ2O5R5efG1VGusDg3EWuYMgCAKV7d0crqjnbJ0EjU5Helggf3p0BysCfQx+yOsbmSDnWhOnrjYg7xnGx8WOB9fGk50YireBrYLfDa1WR8HlZvafuI5U0U98pDc/++YukuLuzH66qreHfW/+4+brjI2h1WrfZ9P9ne98h+9+97v/8ZqTkxOTk5Pv/P/ExAROTk7/cV0ul7/z/5OTkzg6imsn+3GKNwDtyg5Od+dwbbiMJaZL2OqxiXTXtQYdR56jWRX01VHUV8+wegp/Gxe2eS0jwy3a4A4zs2vqKelRcERRS26nFEEQSPcM4k9p95HmESCay4xWr6esq5NzMim5shZ6pybxt7OfLeYEhxDmJL7DU9foOMcqGzhaUU/X6DjRnq58Y+MaNkSHstjAIoHTag1FVTJOXW3gamM7VhZmZC4N5qX704kPNDyV9N2ol/Sw/0QZxVeluDgu5rlHUtmUHoWlxe0nkIPKKdbfIt4AdA0Nsm/fPjZu3Pgfr38SYs7HLd5MaCbI6yvgfF8+ar2alU4pvOD2BdwtDUt9kk/2UdhbT35fHS0TvSwxtWKNawTPhWSzzCHA4LQHgObRAY7IazneWk/f9CSxju5GaVjJR4Y52yLlrExKXX/fO8WcLyStYKW3L2YiF3PmGlaHK+opb+vCebE1uxKi2Lk0Eh8DWwYLgkCVrJtTpQ2cL5egnNGwIsKX731qPanRAVjdwXf/TjE4PMmhMxUcy61Go9GxZV00e7csw93lzhLIw431/K2l+abXR6srCewbvHfGMQB0go6rQ2Wc7smhc7qTCNswvhTyBWKWRBv0OTyqnuLCjWLOtaEWFrCA5Y6BfC1yO2muEaI0yIdVSk62NXBEUUfNUA9ulovZ5h/JfQHRBC0RbwJ4ZHqafIWMczIpF9vb0On1pHj78N20tWQGBuFgKS7bQa8XuNbawZGKes43tKAXBLIjgnlxfSrLfA2vDdg9NMbpq42cKm2kY2CUQHdHHl+fSPayUNEa5AAzai3nixt56+R1WjuHSIr349ev7CE+8s6kAq52dvC7W5xx1N09TExMfCLizW0Xdp566ikefvhhfH19efzxx9/5wBwdHfnFL37Br371K4Nt6lYoHighf6SAPlU/S+3jedj3QYJsAg12/wnNNBf6G8nvreXqYAsAyx0DeTFiK6kuEQa3C4bZJOdCt4wjijryOqUsWLCALK9g/rpmN6vdA1gkUudqSKkkT97CWVkLlzvaZivmnt58ffUasgKDRJ/MAegZm+BkVSNHKxtoHRoh1NWJL6xLYUtMOPbWhg3y02oNhVUtnCpt4GpTOzYW5mQvC+XbD2cR7S9epxxgYkrFybxaDp2uYGhkkjUrQnjx2UzCg+6uQhvn5s7rD938od/X00vWD37KxMTEf7z+3soyQFJSEi+99BKCIKBSqZiamiIgIICOjg68vb1JT0/n4MGDwGxnKSwsTNQRZfj4xBuAX0p+Q6OqCS9LT54MeIIkh0SDjSPPFXPyemsp6qtnVKMkeLE7u31XkO4ahb+Ni0HWeS9mRQJnk6tB1RRLnTz59tJ1bPIJY4lIydWMVsvlznbOtUjJk8sYVk0T4ujE7sgo1geFiD6ZA6BUa8hraOFYVQOl8nbsrSzZGhvOjoRIQlwNe8gTBIHKli5OlTZyvkKCSq1hRYQfP/z0RlJjAjAXgfYwB51Oz6XrMvafuE5tUxehga586/MbWbsi5K7GkZ2srNl3i3gDsOtv/+bBBx/kT3/603+8/kmIOR+neLO/7W0uT5RiusCUda7prHPNMKjDlWKyn7zeWvJ6a1FM9uNgZsNa10heCNtEvL2fKMWcQdUUJ1sbOCyvpX6kDw8rW+4LiGFHQBSBtuIk0IIg0DDQzzlZC+dkUqTDQzhYWJIZGMSXk1eywttH9GKOXi9wva2L41UN7zSs1oYG8IdHtrMy0JdFt9FJvhN0DY5xqrSB01cb6RwcI8jTiac2JbM+MVS0TvkcWloHePvkdc6XNGJrY8H9W5exPSsWO9u7OzPvCo9kb1LyTa//vm+I6aFhLl68+B+vfxLiDXx8Yk5BXxH5I4UMqYdIdlzO0wGfxtfax2D3H1VPUdTXQH5vLdeH5ZgsWEiyUzDfitrFapcwFotQzJnRaSnsknFEUUthlwwzExPWe4fyYtwakl0M3yieQ//UJLmyFs7KpFzt7JillPn48uqaDDIDgkSfzAHoGB7lxI2caq5h9dL6VDZGh2JradgpqCmVmvMVEk6XNlIu7cTexpL1iWFsTg4XjUo+h9FxJcdyqzl8ppKJKRWZq8L57gubCfK7O4OkJC9vvv/gAze9Lmls5Jl/7ae/v/8/Xv84xpvbPlna29tz/Phx3njjDXbu3MnU1BSNjY3ExcVhbW1NV1eXwTZ1K/y7bR+pHqv4QvDzeBhoHFmlU3Oxv4lzPdXvaOYkOQXx9agdpLmEixJ4YLZzdUhewzHFbHKV6OzNK4lZbBRRx2JiZobz8hZOSpooaW/DZOFC0nz9+GFGFun+AaKKdc1BrdVS0CTncHkdl2Rt2FpYsCkmlJ/t2UCEu+GDgax7kMMXazl1tZHpGTUpkX78+MlNpEYHiMIpfzekrf0cyani/MUGFixYwNZ1MezelIDbHXav3gtrMzNCbqE3YjOjBrgtUT5bW1u+9rWv8aUvfQmlUsnvfvc7FAoFDz30EFevXiUwMJBNmzbxjW98g97eXt5444157f128HGJNwDTumleCPk8sUtiDPK3KQgCtaPtnOupJr+39h3NnAf9VpHuFoWPCDQrmO1cHW+tfye58rJewoPBcezwj8JvseF1emCWbnG1q5OTkiZyWiSMz8wQ4+rGkwnLyAoMIsBenHXfDUEQqO3q43B5Hadrm5nRaFkd7Mev799Caog/ZgbmXY9OTnOqtIEjJbW09o0Q4uXMM5tXsCExFEdbcYvlI2NKTuXXcjy3mt6BcVYuC+Q3r+4lLmJ+lveLFi68ZbwBsFi0CBMTk09kzPk4xZvykUp2+e1gjXMqFiaGOQf0TI+Q21PDuZ5qWiZmNXPSXSN5KWIbsfa+BqdZAah1Ooq6ZRyS11DYJcPcZBEbfcL45tIMUXUs5CPDnGhu4qSkCcXoCO42NmQHBvPqmgyWeXiKSvGaQ9/4JMcqGzhcXkfHyBjhbs6iNaw0Oh3FNXIOX6yltLENh8VWbFgexuakcEK9xWkMvLO2RkfxNSlHcqqobuzEz8uRrzyVSWZq+Lw1Ah2trHC9RcxxsrKma2T0Exlv4OMTcw50HGSt1xo2uK3HxcIwrsFT2hmK+xs4113N1aEWFi1YyArnEL4bvZtVLmFYLzI87UkQBOpH+jgkr+G4op4xtYoUNz9+nLyR9T6hWBlYp2cOYyoVZ1sknJA0U9rZjsWiRaz1C+D17I2s8fVnsbl4FK85qDTaG9OAdVxTdOJobcWW2DBRGlYAje19HL5YS05ZE1qdntRof37x7FZSovxEp7E2SHs4craSgkvNmJktYkd2HLs2xOPkML/Ctc2H5FRqu1kZkE9CvFkgCIJwpz+k1+u5fv06FRUVjI2NERgYyPbt2z+wcmUoqFQqLC0t6RrrwsN2/gUdrV5H2ZCMcz3VFPXVo9JpWOYYSJZ7jGiaOQDjahUnWxs4IK+hZqgHT+sl7AqIYqd/tGgigTNaLUVtCk40N1GgkKMT9KT6+LElNIx1/oFYi9yZmENL/xCHy+s4fsNlZmWgL7uWRpEeFoCZgf92ptUa8solHCmppVreg5fTEnasimLrikjRkyuNRkdhqYSjZ6uoberC28OeHdlxbFgbyWLr+R/Un332WXx9fXn55Zdv+p7u7m4CAwOZnp6e93ofNT6KeAP/F3Omp6cN4lohm+jjXE8153qq6Zkewc/amWz3WDLdY0Qr5uj0ei72KDggryGvU4LpQhM2+oSxKyBatORKEARq+no5IWnitLSZ/qkpIpyc2RIaxubgMDxtxXWamMOoUsXJ6kYOldch6Rsk0NmBXUuj2BobjqONYScvBUGgQtrFkZJa8iqlmJosZOPycHaujiZM5ORKEATqpT0czami4HIz5maL2JgexfbsWHw85l84y8nJ4ZVXXqG0tPSW70tMTOS1114jKytr3mt+lPio483E1AQ2VvOfrhhVT5HXW8u57mqqR9uwNbUkwzWKLPdY4hz8RCnmAEhGBzggq+GYoo6hGSUr3fzYFRBNtneIaMlVz8QEp6XNnJA0Udffh5OVFZuDQ9kcEkacm7uoYqhz0Oh0FEtaOVReS7GklcUWZmyJDWdnQiTh7oaPAZ0Doxy9VMfJK/UMTShZEe7HrtXRrIr2Fz256h+a4ERuNSfzahkZV5KyNIAd2XEkxvoZhOJhZmZGR0cHrq43px+/9tprdHV1GaUIIzY+ypyqd7wXVwPQvDV6LaWDUs52V1Hc34RW0JHsFEy2eyyrXcJFKeYAjMwoOaao54CshqbRfvwW23NfQAzb/SPxtDa8VTfMmsrkK2ScaG7iQpuCBQsWsNYvgC0hYaz188fSVFz3vjk09vRzqLyOk9VNKNVq0kL82ZUQxeoQwxdYplRqzpY1caSklsb2fvzcHNi1KppNSeHYieBo9W7MzGjIu9TE0bNVNMn6CPRxYseGeLJWh2NlOf9nyp49e8jIyOCZZ5656Xvq6urIzs42apPnbnFXUWPhwoUsX76c5cuXG3o/HwoHs/kdVKUTPZzsLCe3p4Zh9SSRS7x4NjiTde4xOJmL4woy62rVztst1eR0zHKG13uH8lLcGpJdfUU5dOj0ekq7Ojje3MjZFilTajXLPb34VuoaNgSFGGUkEGapD+fqJO8IIXvccJnZER+BhwguM7LuQQ5drOX01UZUMxrWxAXyu8/tJCnMR1QdC5g97JzMq+F4bjWj49OsXBbIL769m2UxPqJTTP6b8VHGm/liRD3Jma5KznRXIZ3owcXcliz3WNZ7xBK82PCuJ3NomxjhoKyGw/JaeqcnWObsxQ+Wb2CDTxjWpuIkV/KRYY43N3KiuYm2sVF8l9ixNzKaLSFhBDmIq1cwh/cKIS9auJD1USF8VySXmbEpFSeu1HPkYi1t/SNE+rry0t61ZC8LxVpEHQsA1YyGwsvNHM6ppEnWR5CfMy88mUHm6rA70s+5h//ERx1v5kPz1Oi1XOhv5ExXJVcGJSxaYEKaSzg/T3iUZKcgTEVwtIFZ4fWTrQ0ckFVTfaNh9UhIArsCYvCyESe5GlOpONMi4URzI9e6OrExMyc7KIgXb7hZiUVhfy/ah0c5XP5/QsjJAd785L71rAsPMjjdUqvTc6FGxuGLNZQ2tuO0xJptKVFsXxmFp5M4n/McBEGgqqGTo2eruFAqYbGNBVvWxbAtM2beE8j/6/goY84S07v/3QmCQON4Fyc6r5PXW8u4ZppYe1++GLaRDLco7MzEaaLq9HpKels5IKsmr1PKooUL2ewbzquJWSxznt906s2g1eu52N7KieYmzstbUGm1rPT24bX0TLICg7E1wmQOwKRqhtPvEkL2dbTjqdWJbIsPx2Wx4emWje19HLpYw9myZnQ6PRkJwXxpVxoJwZ6i5zXdfaMcz63hZF4NU9Nq1iSH8LnH1xITJv7an2QYx0/5I8aMTkN+bx2HO65SO9qOl5UDu3ySyHaPFa1TDtCnnOCwvJYDsmraJkeJdnDjmwkZbPWLEI1q1TQ4wLGmBk40N9E7NUmUiyufX76CzSGhuNkYx872vdQHtVZLRngQf35sBSsCDF9g0Wh1FFS1cKi4hnJpJ17OS3hifSJbkiNEn87R6vSUVsg5cb6G0koFtnOHnaxY3JznV7hqbuzmzPFKXvjaJgPt9h6MAUEQqBpp5UjHNQp66zAzWUSGWzRfCttEvIOfwd0l5jCj03K2vZm3ZdVc6WvDec7VKjCGAJF0LIaUSk5JmzjW1Eh1Xy8u1tZsDg5jS2gYMS6uRnv4zlEfjlTU0T48RoyXG9/ctJaN0aEGd5kBqG/t5UBxNbnXm1lkYsLG5WH88MmNok/nwKyWxYnz1eQWNzI9o2FNcjCffyKd6FCPeX3ew0OTnD5ewSNPpBpwt/dgDHQrRzjWWcaJzuuMqKdY7hjEt6J2keYaIVqnXBAEyge6eFtWxem2JnSCnmzvEL4Sm0aKm58oDSu1TkdRq5yjTY0UKuQsWLCADP8Afr9pK2m+/piLPFU1hznqw5GKeq4qOnBZbM19S6PZmRCBt4GFkGHWSe9ISS1HSmoZHJ8iJcKPnz+zxSjTOSNjSnKK6jmZV0NH9wjhQW68/Nn1pK8MnReVXa3WUlzQyODABPc/kmLAHd+D2JjWqjnXU82Rjqs0jXfjb+3Mw36ryfaIxd1SHOYBQOfkGIfkNRyU1dCtHGepkyffW57NRp8wbERwtRIEgbqBfo42NXCyuYmhaSUJbu68mLKaDcEhRtEhndtHeVsXhyvqOVcnQS8IZEUG89KGNJb5Gr7IMaPRcr5cwsHiGmoVPfi7OfDZrSlsSopgiQFYB7eCRqPjYlkLJ/NqKKtuw9Hemvs2JbAtMxZH+7v/vAVBoL62k7ycGr740n93TvVfXdhpmxrkWMc1TnaVM6WdIc0lgt8mPsEyhwDRkiutXk9ht4y3W6oo6pZhY2rOdv9I9gTGEmEvjqtV7+QEpyTNHG1qoHFwAHebxewIj2B7aATBIiv7vxsjU9Mcr27kcHkdLf1DBDo78Nm1yWyLC8fB2vCi0z3D4xwtqePopVpGJqZJjQkw2nTO8OgUJ/NqOX6+mv7BCZZG+/CdL25i9fIggxx2jh++TlN9F37+huE834P4mNSoONNdyZGOq8gn+wmz9eTFyG1kucVgKRIFAWaFkN+WVXFMUc+kZoa1N1yt1ngEitK1ntZoKFDIOdrUQHF7K6YLF5IdGMyXkleS4i2eMOF7odbqKGqWc7iinhJpK4stzNkSG8Z9S6MIdTP892Z6RsO58mYOXqimsb2fIE8nvrx7DRsTw0R1mQFQa7QUlUrfoXd6udnxyK4kNqyJxMFunoedmg6OH75OSVETllbm9wo7nxDoBD2XByQc6bjK5QEJDuY2bPdOZJvXMlGTqyGV8p2GlWx8iHB7F16MX8N2v0hRXK0EQaCit5tjTY2cljYzqlKR5OnFK2sz2BAUYrROuSAI1Hf3cbiintM1zSjVataEBPDGQ1tZHexvcCFkQRAoa+7g0MUaCqtaWGxpzvaVUexaHWOU6Zx6yayWReFlCWZmJmSuDueVFzbftl35zdDfO8apYxXknKhkfGKa9MwoA+36HsSGbKKXIx3XONNdiVqnnW1YhW8m1s5XtCaOWqcjr0vK2y1VXOxR4GBuxc6AaPYExojmatU5PsaJ5iaONTXQMjKM7xI7HoqOZXtYOH524sXW96J/YpLjlQ0crqinbWiUcDdnvpy1ms2xYSwxsBAyQMfAKIcv1nDicj2T02rWxgfx+e2rjDKd82565/DYFMnx/vzgxW2kLA24K8OHOahUGgpy6zh++DpyaR/BoYZ1lvw44r+usCMIAqWDUv7depGyIRluFnY84LeSbZ7LcLIQT9uhbWKEA7IaDstr6JueJMXVl9dTtpDtHYq5ieE/5jGVipwWCSeam7ja1YG1mRkbgkL4Vupalnt6GYVTDrNCyEXNCk5UN1IsUWBqYsLG6FC+tz2TWC/DO03p9HquNLRx4EI1l+tbsbOxvHHYiRbVUg9maR6V9R2cOF/DhasSLC3M2JQexfasWLzc5xfsR4YnOX7oOqePVTA+Mc2qtDCefC6dmLgPdidQzqiR9g3e9H59A8Pz2s893D7apwb5t+IiZ3uqEATI9ojl29H3EbHES7Q156gPb8uqqRnqwW+xPc9EJLMrIBoXS8OP42r1ekra2zjR3Mh5eQvTN8aQf7Ium8yAIKPpdAmCQF1XHyeqGzld08zo9DQpgb78dPcGMsICRXGakvcMcbC4htOlDag0WtbFB/PVPWuIDZjfhMztoLNnhFP5tZzKr2ViUsWqxCCD0Ds1Gh2F5+s48vY1ZDcOO194cSNrMyM/8P1anf6W8QZmpxjuQXxMaWc43H6VQ+2l9KpGSXQM5LW4+1njEiGKoxX8H/XhbVk1eZ0SLExM2eoXwS9SthDlII6jZNPgwDsiyF0T4wTZO/Bk/DK2hYYbTacLZqcBT9c0cayyAWn/EP5O9jyTtpytseE4LzZ8x36O3nn4Yg3t/aNE+7vz3UezWZcQLKqTHsDk1Ax5JY0cP1+DVNFPsL8LX3oqg3Wr5k/vrKvp4ND+Uq5clLDEzopNOxLYvD0Bp5tMNg9PKRm/RcwZmpya137u4fagF/QU9zfxpuIi1aNteFk58ETgWrZ4LhWNagUgGxvibVk1R+S1jKinSXX3543VO0n3DBLFzW5IqeS0tJmTkibKe7qxs7BgU3AoP1qXTbybeLT592JaraGgSc6J6kZKpK3YmJuxOTaM1/dsIsLD8BPBWp2e4lo5By9Uc7WpHRc7Gx5Ij2f7yijRnfR0Oj3Xqls5mVfLpbIWg9I7B/rHOXrgGjknq5hRaUhND+cLX91AeKTnB75/8kNyqrbBkXntx5j4rynsCILAxYEm/tJSQON4F0mOwfw84VFSnENEEwmc0WnJ7ZCwv6XqHerDfQEx7A2KFUUIeUarJV8h50RzI4Wts2PI6X4B/G7jVtb6GW8MWa8XKG/v4mR1I+fqpEzMzJDk782r29aRGREsCvVhZHKaE5frOVRcTdfQOMtCvPnBpzewNjYIUwO72rxv7bEpzhTWc/J8DZ29o4QHu/HiM1lkrAzF3Hx+Immd7UMc2l9Kbk4NVlbmbP6Qw84cqjt72frbf930umZibF77uocPh3yyj7/JijjfU4OHlT2fDclmo0e8aC56giBQNdTNfmkVp9oa0Ql61nuH8nL8WpJcDK/jJAgC1X29HGtq4LS0maHpaeJc3fnyilVsCg7F2do4Y8gwa+F5srqJk9VNtA6N4Otox8PJcWyLj8BTBK0ujU5HUZWMg8XVXJd04uW0hCc2LGdrciQOd2nfe9tr33CaOXG+hvLadpwcbNieFcvWrFhcHOdHp52amuHM8QqOvH2NkeEp0jLC+fyNw86t/n6GppS3jDcArf1D89rbPdwaE5ppDrRdYX/bJbR6Hdu8Etnpk4SviHTyXuUEb7dUceBd1IcfLN/ARt8wUYSQuyfGOdHcxPHmRpqHBnG3WcyWkFC2hoYT7uRstORqUjXD+YYWTlQ3clXRgY25Oeujgvnu1gzifcQp6Da09XLgQg3nrjdhsnAhm5LC+clTmwnxEndqVxAEGqS9nDhfTf6lJvQCrF0RwpefXkdk8PwSWr1e4MpFCQf2XaGhtpOwSE9e+vY2Vq8Nx9T01ue2oxUN/KtactPrg6VV7A73u+u93cOtoRP0FPTW8VdZIbLJPlY7h/GbZY+T6BgoGuNBpdVwur2R/dIqyge78LCy5eGQBPYExuJhbfjnvFKj4by8hWNNjZS0t2JmYsK6gCCeXbac1T5+ohSQPgg6vZ6rig5OVjeRWy9FpdGyMsiXn9y3gYzwQCxEKOgOjE1y7FIdhy/WMjA2yYpwP15/diurogw/ffi+tYcmOF1Qx8m8GvoGJ4gN9+Kbn99IWnLwvJ2KFbJ+Du67QkFuPUvsrbjvgWQ2bo3H3uHW59UyRSd/vsUZZ6a/Z177MiY+8YUdvaDnQl8Df5EVIpnoIdUlnJcit4naLe+YHGW/tIoDsmpG1NOs9QgUjfqgFwSudnZwrLmRnBYJU2o1Kz4CwS6YdbU6Wd3IyeomesYmCHF14um05WyKDsVtieH1ewRBoKKli8PFNeRXtWC+yITNyRHclxpDgLu4FDNBECivbed4bjUXy1owN1tEdmoE38uMIdhvflVzQRCorWrnyIFrXC5uxs3djs98PovMjTFYWNxeoSjWy42ff+aRm17v6+0l8//9eF77vIcPRstEL3+VFZLfW4eftRPfjdnNOrdo0brlk5oZTrQ28Ka0koaRPkLtnEWlPihGRzje1Mjx5kbaxkYJsLfn0dh4toaE42tnZ/D1boYR5TRn6yScrG6ksr0HB2tLNkaH8uP71hPtKY5+T9fgGEdKajlxpZ7hCSUrI/35zWe3syLCMG4vt1y7d5TjudWcKaxjfFJFcrw/P/raDpIT5n/Q6usZ5fjh65w+XokgCGzcEs/Ovctxcbu9rpijtRX7n795vAHYefKf89rjPXwwxtRK3mq7xFttl1nAAu73TWGvbwpLzMQpMOoFgZJeBW9KKsnvkrLEzIKdAdHsDYwVhfowPqMiRyrh2A0RZFtzCzYGh/DKDXtyY00fa3Q6SlraOFnVSEGTDL0gkBYSwC/3biYtxF+UaRmlSs3Z680cKq6hqaOfAHcHXtiVxqakcNHF16eUM5wrbuB4bg2ytgECfJx49uFUslIjsLWZH81jelpN3tlajr59jY72IZJXBfP6G48SFet923F7R0IEu1cn3fT677UDqMZG57XPe3g/tHodeb21/FVWSNvUIOvcovhe7F6CFotHYZGND7FPWslheS1TGjWZ3iH8fe1eVrn5GZzardXrudTexvHmRnLlLcxotaz29eNnWRvIDAjCykiOVoIg0NQ7wMnqJk7VNDEwMUWkhwtfWJfCxuhQnGwM3zjT6wWuNbdzqLiG4ho5VhambEuJ4r7UGLyd7Qy+3nvXvlqp4Pj5ai6Xy1lsbcGGtZFsyYjG12t++ZwgCJRfk3PkwDXKrsjw8XPiiy9tJD0rCjOz24vbif5efG/vAze9Lmls5OlTb85rn8bCJ7qwc3mgmd82n6Nlspd010i+Hb2LEANYoX8QVFoNuZ0SDslrKelR4Gxpw0Mh8ewNjDN4JXlOsOtk8yynvGdykkhnFz6/fAVbQsJwtRF3PO7d6B4d52ydhFM1zTT29ONqa8PmmDC2xIaJomMBs4edM9caeauoCnnPMBG+rnzthtOM2FoWk1MznL1Qz7FzVbR2DhMZ4s6Lz2SRvjIUi3lO5wCUX5Pzt/9XRHNjN2GRnnzjeztZlRaGyR0mblbmZgS73vyQba1Tz3er9/AedCqH+J3kHPm9dQTauPJa3P2ku0aK0r2aEyY9JK/hdFsjar2OTb7hfC8xi3gnw/Od+yYn3xlDru7rxcnKii0hYWwPiyDK2cVonfKpGTVFzXJO1zRT0tKKycKFrAsP4pm0JFICfUQRCtXrBa42tbO/sJJL9QocF1uxPSWKHaui8HAUV8tCp9NTWqng6NkqrlYpcLK3Ycf6ODZnROPqNP/nSk/3CP/8czEFuXXYOViz9+EVbNmxlMW2d1YQXGSy8JbxBhClq/i/jGmtmn+3XmSfogSThQt52H81e31SsDEVR7yyc3KMI4paDstraZ8cJdHZm5+v2MJ6H8PTyVXaWZ2uk5JmClvlAGT4BxpdBFmvF6ho7+J0bTNn6ySMKlUs9fXk6xvXkBUZgp2VOJ91W98IBy5UceJKA2qtjnUJs/TOuEDx6Z3y9gGOnqvmbFE9Or1ARkooX30mk8iQ+dNNVCoNRw9c4+CbV1DNaEjPjOI7P7wP37vQCnSwtsL1FjHH0caarnuFHYNBEAQK++p5Q5JLp3KIbI9Yfhz/EP424hgCTGnU5LQ3cUhey9X+djytl/BUeBJ7AmNwNjCdXBAEKnt7OCVp4pS0mUGlkjjXWRHkjcGhOFmJO4X7brQPj5JTK+FUTRMt/UN42tmyKyGKLbFhBDjPz/X5ZpiYnuHklXreKqqic2CMuEAPvv1oJuviQ7C4zcLH3WJsYprTBXUcO1dFd98YcZFefMtA0zmCIHClRMrf/1iEQtZPdJwPr/5kD0kpwXfciLP5kJxqZsB42krzxSfyJCaf7ONXTTlcGZSQ5hLBq7F7RKkmC4JAzXAPB2U1nGhtYEqrJs09gN+t3sE6r2BMDdyhlw4NcUraxElJM62jI3jbLmF7WATbQsMJcRRv3Pq9GJyc4lydlDO1zVS0d2NrYc66iCBeXL+aRD8v0cRRZw871ZwsbWBGo2VDYhivPraeCF9xRKffjZbWAY6crSS3uAGAzNXhfPsLm+YtFDiHpoYu/vqHQiqvt7J8RRC/+uOniIgSb6rsHgyHSY2KP7YV8lbrZbysHPhR3IOscY0QpaDTq5zgiLyWQ/JaFBPDhC5x5gsxq9kVEIW9uWEPH8PTSs7JWjg5p9NlakZWYBAv3BBBNpZd8IxGS7G0lTO1zRQ1y9HodCQH+PDqtkwyI4JEoXYCTChVnCxt4OCFGtr6R4gP8uTHT24iLTbQKE4zp/JrOZ5bTe/AOMtifPn+V7ayMjHIIGPQw0OT7P/HJU4dK8fFbQlf/eZW0jIiPpT+cA8fPfSCnjNdlfxOcg6ldoaHA1az1zcFm0WGLzKotBrOdUg4KK/hcm8r9uaWbPOLZG9QHKF2hm3cqHU6StrbOCVpekenK9nLm1fS0tkQHIKtubhuK3OY0+k6U9tMTp2EvvFJgl0ceWxFAltiw/C0F6eYq9PrKalV8PaFakob23BzWMyTG5LYmhKJvY049N05aLW6d8TXqxs78XKz44m9KWxaG4Xt4vmvrdHoOHe6in/99SLKqRl27U1i++5E7ObhYnMPxkPTWBe/aDpN5UgrWe4x/Hzpo6JQPAVB4PpA542GVRMzOi0ZXkH8Zc1u0twDDJpbCIJA4+AAJyVNnJI00zUxToC9PQ9Fx7I1NBx/I4og945NcLZOwpnaZmq7+rC3siQrMphXRKR2Aki7BjlwoYoz15oQ9AKbksN5/Zk4gjzFzycbpLPi6wWXmlm0yIT1aRHsWB+Hv7dh1q6ubOOvfyikobaT1WvCePFbWwkK+e8XRr4dfOIKO683nuJkfxUBNq78PvFJljoGGHyNcbWKo4o69kuraB4bIMDWgeciV7DDPwpXK8NSjuQjw5yWNnNaKkEyNIiLtTUbg0PZGrKBWFdxRAk/CEOTSvIaWzhbJ+GaohML00WkhwXy5OplrAzyxUykDppWp6ekTsGBG4cddwdbnshOZNvKKPEPOzo9JddaOHSmgqqGTnw9HXjmoVTWr4lgsYEs/Wqr2nnz7yWUX5MTHunJz3/3CDHxvga59z0YB/df+iWYmvCFsA3s8k4yOOVKq9dzoVvGPmklRT1ybEzN2eobwS9XbiXawMKko6ppcmUtnJY2c7mjnUULTUj3N75Ol1qr5VJLGzl1Egqa5CjVapb5evHS+lSyIoNFcdGbg6RzgIPF1Zy+2gjAxuXh/PipTaJrWQBI5H0cyqkk72IjZmaL2LQ2im3Zsfh4GKZT1983xoE3r5BzogqbxRY898VsNmyNm5erxD0YF89c/RMSVT/bvJbxTPA6HM0NT3NuGulnX0slxxT1KLVq0jwCRREm1eh0XOns4JS0iVxZC+MzM8S7GV+nSxAEGnr6OVsn4WydhM6RcXwclrA9PoKN0aGEfMg02nwwPK7k+JU6DhXX0jM8TnK4D68/u5XV0f6iOwiOjE1xPLeGY7nVDI9OsXJpIL/49n0sjfY1CLV0ZkZDzskqDrx5hZGhSTZtT+ChT63C3sF4U+X3MD/8oO4o5wbriFzixV+TP0OUnbfB1xhWKTmsqGW/tArFxDBhdi58KXY12/yicLQw3LNeEASahwY5I5VwWtqMYnTkHZ2uLSFhRBhx+rh/fJLcBiln6ySUt3VjY25GZkQQn89IITnARzQdG41WR0FVCweLq6mQduHjYsdzW1LYuiKCxSJNIL6ztkZHYamEQ6craJD2EOjrzBeeSCdzdThWlvNv0M1Rrvb9vYTa6g7iEnz5zZ8fJyzigwWR/1fxiSvsFPbV8VLkNrZ4LTWoKPKEZobzHRLOtDdxsUeByYKFbPEL5wdJ6w1KfdALAlW9PZyXt5AnlyEbGcbR0ooNQcG8kpbOMg9Po9kF94xNUNAk43x9C2WtnZgtMiEtxJ+f7d7AmtAALM3E45qOTak4eqmWA0XV9I5MkBzuwy+e3coqIxx2lNNqTuXXcuBUOX2D46TcOOwsizGcZWN/7xhv/DKXS8XNRMV688NfPMDS5QFGe6gYGt/85jextLREoVDw6quv4uHxn5THnp4evvjFL5KQkEB5eTlf//rXiYuL+2g2a2BkuEbzXOQGg2pa6PR6rva3c7qtiXMdzQzNKElx9eWXKVvJ8g4xKPWhY2zsnXhT1t2JyYKFpPnNcsoz/AOxMZKjlVKtoUTaSl5DC4XNciZn1MT7uPO59BWsjwrB1Va8ZECr01NU3cK+gkqqZN34utjz/LaVbEkW/7Cj1wuUVsrZf/w6lfUd+Hs78vkn0slODZ+308wc1DNa3n7zMvv/eQk7Oyueej6DDVvi5i3u/lHhfzneWJiY8q+UzxqcVi4bH+J0WyNn2ppoHhvA18aO5yJXsNPATnoTMzNcaFNwXi6jqFXBhHqGaBdXPpuYxMagUKM5Wun1AtWdPeQ1tpBbL6VzZBwPO1vWRwWzPjKEKJF0uubQ1NHP/oJKzl5vxnyRCVtWRLA7NRY/N3HoFu9Ga+cQb5+8zrkLDZibm7JlXTQ7s+Pm7TTzbly+KOGNX5xjeHiSjVvj2fPgitvW7Pq44X853pQNy3glZjfZ7rGGbSLNTHOuQ8KZ9kYu97ZhYbKI7f6R/HrVNiLtDffd0+r1VPR0kytrIV8ho21sFDdrGzYEh/DT4PXEubkbTaerc2SMvEYZ5+ulVHZ0Y2lqSnpYIL99cBmrgnxFdbUbHldy6GINh4qrGZ6YZlWUP7/93A6SwwxTxL0VJqZUHM+t5tCZSkZGp1idFMxnH00jJtxwuXNnxzC//flZyq/JWbo84BPfJBcz5nziCjv7V30RJxs7g9xrRqelqFvG8dYG8jul6AWBVe5+vLZ8PVneIdiaGebAr9JquNTRTp5cRr5CxqBSibftEtYFBPLqmgwSPb2MQnsQBAFp3xB5jS0UNMmo7+7HysyU1BvFnNQQf9FoD3OQdQ/ydlE1p0obMDFZyLaUSPakxeHjYifqugCDw5McPF3B8dxqtDodG9dGsWfz0nlblb8bMzMaDr91lf3/uISDkw0/eP0BEpMDDXb/jwIFBQX09fXxpz/9iQsXLvDyyy/zj3/84z/e87vf/Y4VK1bwxS9+kWPHjvGjH/2It9566yPasWHxQvgmLAwQC+aonSdaGzjZ2sCAaopwexc+FbaMzb7h+C02zIF/TqMrT97CebmMpsEBbMzMWOPnz+vZG0nz9Tea6Prg5BSFTXIKmmRclrWj0emI9/bgcxkryIwIxl0E0fV3Y3RymuOX63n7QhV9IxOsjgrg91/YxfLQ2xfxvFvMqLWcL27krZNltHYOkxTvZxCr8ndDEASuXm7hD78+z9DABI89mcaOPctvWzDw44j/9Xjz62WPY2lpmGnVXuUEJ9saONHaQN1wL04W1qz3DuW7iZksd/ExWMLTMzFBvkLGeXkLpZ0d6ASBRA9PPp+0gsyAQHyW2BlknQ/DjEbLZXk7BY0yiprlDE4q8bZfQnZkCFmRwaKJrs9Bo9NRXC1nX2EllS1dBLo78tLetWxIDMNS5CKrIAhUNXSy/3gZl8vleLnb8/nH17J+TaRB9AHn0Nk+xP/7bR6lJVLWZkby9PMZH+ri+XHG/3q82b/y89gZSCd0Wqshv1PKsdZ6invkLGABaR4B/HTFJjK9QrA2NUx+odRouNjeSp5cRoFCxohKRYC9PdlBwazzDyTB3cMoxRxBEGjo7ie/SUZBo4zmvkFszM1YGxbA4yuXsirYT3Ttucb2Pt4qquJsWTNW5qbsXBXNfakxuDuI/53s6R/j4OkKTubVsHDhAraui2HXxgTcDBgPppVq3vrXJQ7uL8XTy+ETX9AB8WPOJ+70N1+euVav51p/OydaG8jpaGZCrSLJ1YdXErNY7x1qMJeZgakpLrQpyFPIuNjWyrRWS7SLK4/GxLMuIJBQRyejTG9odDqut3ZR2CSjsFlO58g4TjZWrA0L4HMZKST7e4taRZ7bQ165lIPF1VTJuvF2tuPzO1axZUWk6M4PAIqOQfYdK+N8SSO2NhY8sC2RHdmxBuGWz0EQBIoLGvnjb/MYH5tm7yMp7HlwBWbm4ny2SpUaWffgTa/39Q4DoFKp/uP1RYsWsegO6Tb5+fksW7YMgOXLl/Pggw++7z3Ozs4MDAwAMDAwQGxs7B2t8d8KQRDe6ZQfa62ndWIEv8X2PBgczxa/CAJtDePuptJquNrZSZ5CRr5cRu/UJO42NmT4B/LyqlSSPL2NYt0pCAIt/UMUNskpbJZT3dmDmYkJKYG+fGtzOmtC/UVxe3gvahU9vF1URV6FFNNFJmxdEcn9a+NEd36A2e7VkZwqDudUMD6pIis1gle/vIUAH8NSvRSyfn7/q1wqr7eyem04P/nVQ6J1zLU6/S3jDcwm1Tqdbt4x53893sz3XDCsUnK+U8rx1npK+9qwMTVng08oL8evJcnFxyATsXpBoGGgn8JWOeflMur6+7BctIhUX39+mJHFWr8A7A1UnPowDE8pKWpWUNgk57KsDaVaQ5SnKw8lxZEeHkiwi6PoZ63+0UkOX6zh6KU6hsanWBXlb7QCsk6np6hUwr7jZTTL+ogJ9+SHL21n5bJAg3bqpyZV/PMvxRw/dB0vHwd+/KsHSUg0vBTCHEYmlEzqbh5zhsen0Ov19+LNPGFhMr8zuFqn40pfK8dbG8jtkDCt07DSzY8fJm0kyzuExaaGaSL1TEzM5lRyGZc62lHrtMS7ufP00kQyA4IIsBd/Eg5maeSl8g4Km+UUNcnpHZ/EzdaG9PBAvro+lUQ/L8xEpj7PaLTklDVxuLiG+rY+At0deXHPGjYmhYvKtJiDRN7Hm8fKKLrSjKODDZ/eu5It66KxtjJcw1CvF8g9U83f/l8RKpWGx59ey449iaLRyqemb51TdfSPAJ+MnOojKezIZDK+853vEBcXR0NDA3v27GH9+vWirTepmaG4R8H5DgmF3TLG1CrC7Fx4LnIFW/0icLeaf3VRp9dT1ddDUauColYF9QP9mC00YYW3Ny+vSiPDPxD3xeJ2p+cwPq2ipKWNoiY5FyQKxlUzBLk4sjE6lDWhAcR6uYs+mgezSuzHLtWxr6CCwbEp0mICeePzO1ke6mOU9du7hvnbwSvklTTi4+HAV57KJDM1HHMDd7P7ekb51c9yKLsiI3NjDE88s8ZgHazRoUnsHN8/Jl/b2svu7/3rpj+nmRpDq9W+r/P7ne98h+9+97t3tIfBwUEiIiIAsLS0ZHR09H3vefrpp9m5cycvv/wyFy9e5M9//vMdrSEmjB1vdHo9FYNdnO+Ucr5TQuvECI4WVmzxjWCbXySxjvN3HwFoHR3hQttsvCnt7GRGpyXcyZndkVFkBgQRaSQ+uUano7K9h6JmOfmNMtqHR3GwtmRNaABPrJrV6LIywmFDp9dzsVbBP89fp0rWTZi3Cy/uXct6I7jpwax98MHTFbx14joA27NjuW9jAk4G1ptQz2jZ948S3vrXZQKCXXn9jUeJjvMxzL1VGsws3v+7GppQ3jLeAMi6h9i3bx8bN278j9fvNObcizd3jraJkXfizfWBThYtWEi6ZxBvrN7JWs9Ag1A7x1QqStrbKGpTcKFNwaBSibOVNesCAvliUgorvX2MotElCAKKwREuSBTkN8qobO/GZOFCkgO8+Ur2ataGBuAm8iTgHFq6BvlXfjk515qwtbJg+8oodhrBTQ9mE58LVyX85a3LtHUNkZYcwgtPZhAVYnhn2EsXmvn1z3PQafV89oVsNm6Nx2TR/AuEgiAwNjz1gWecE1caeOuy5KY/21tehacwMO8zzic93oDxY864WkVhl4zznVIudMuY1KqJcXTny7GpbPYNN4irlUano6Knm8IbZxzJ0CDmJotY5ePDd9ekk+4fgLOVcTS6RqamuShtpbBJRrG0FaVaQ7ibMzsTIkkPCyTCwzhnrdHJaQ5drOHtoirGplSsiw/mi7tSSQgyvFPqB6GldYC/HrhM8VUpQX7OfONzG0hPCTV4saWzfYhf/Pg0ddUdbNqWwKNPphpMiP1mOVW5tJN/3+KMMz3cw8TExCcip/pICjvDw8M8+uijZGVlMTAwQGJiIq2trQZdY1ytIq9TSk5HM8XdcrSCngQnT56LTCHTKxh/2/lXd/unJrnY3saFNgUl7W2MqlR4LrZljZ8/X0xKIdnLG2sj6FcIgoBsYJgLEgUXmhVUtHcBEO/jwWfWJJEeHoiPg53o+5hDW98IbxVVcfJKPQKwPSWKhzLijXLYAejqHeXvB69wrrgBLzd7vv2FTWSsDDN4MUmvFzh5tJy//L4ARycbgyZY7S19HPp/BRQeK+ek9Gfvux7t58bPn3nkpj/f19tLxsEfMzEx8R+v36yyrNPpSEtLe9/rMTExODk5MTk5CcD09DR2dnbve9+LL77I3r17+dSnPkVBQQFPPfUUFy9evNU/0WgwRryZmwQ8097E2Y5mhlRKfG3syPQOIdMrhKVO89fOmtZouNrVSXF7K0WtClpHR7AxNWOljy/fTVtLqq+/0YrHw1NKLkpbKWpWcKmljQnVDH6O9qyLCCQjLJBYb3ejaYVNTM9w/HI9B4qq6BwcY1WUP396YTcJwcY57Cin1RzOqWT/8TK0Oj17Ny9lz5alBhNgfzfqajp4/YenGOgf55nPrWPrrmWYGECEcXJsmtP/vsTxvxWz7/qr77vuuNiKt79183gDsOPKP3nwwQf505/+9B+vf1DMuRdv5g/Z2BCn2xvJaW+mabSfxabmpHsG8quV20jzCJh3p3xuKqe4rZULbQoqeroRgAR3Dx6LTWCNrx/hzi5GoTyotVrKWrsoapZzoVlBx8gYSywtSA3x45HkjawK9hOdRj6HOXerfYWVlDV34Odqz9cfyGDj8rB52/feDgRBoKRMxl/evkRL6wDpKaF87ytbDOY2826MDE/y29fPUVzQyLr10XzmC5nYLpm/1pxOp+fyuRoO/qEAzYyW35978X3v2boigl0ZSTe9xxu/GmBqbPh93/v/tXgDxok5IzNKcjuk5LQ3cam3FQGBJBcfvhSbSqZXMF4GkMjonhjnYlsrF9paKeloY1Ktxs/OnjW+fry8MpUkLy8sFonfJBIEgebewdmcSiKnuqOXhQsWsMzPky9lrmJtWAAedsajH7Z0DbK/sJIz1xoxNTHhvtQYHlgbj7OdcUTKFR2D/O3AFQouNxPo68wPXtzG6uVBBj9f6bR6Du4v5Z9/uYC3jyO//tPjhIYbplAtb+ji4B8KKMmp/sCcammwF6/ueeCmPy9pauTJkjfp7+//j9c/jjnVR1LYSUxMfOe/9Xo91h/gjKDVatFqte/8/3vHnz4IA9NTFHS1kNspoaRHgV4QWOnmx6uJ2azzCp63+rpap6O8u4sL7a1cbGulcXAAs4UmLPXw5LllSazx8yfQ3sEoycSMRstVRQcFTXIuSlvpHh2fPegE+/HjXRtYFezLEkvj2IfCbCAsa+7gX3nlXKpvxcPRlmc2r2B7SqTo4qRzGBye5C9vX+ZMQS1uLkv4+mfXk7k63CCJz3uhkPXzq5+eobG+iz0PreCRx1PnTbvSaXWUFzdxdn8pV87X4RngzGe/d98HvtfKwoxAj5sf5CxRA2BhcXufvYmJCSUlJR94raCggP379/PMM89w7do11q1bB4BSqUSpVOLk5ER3dzcbNmwAwNXVFY1Gc1vrGgO3E2/gzmPOjE7Lpd5W8jql5HZIGJpREmbnwmMhy8j2DiF4yfzoloIgIB0eoritleK2Vq51d6LW6QhxdCIrIJA1fgEkuHsYjWLV2DNAYZOMCxIFdd19LFq4kGV+Xnx2bTJpof74ORrPPhSga3CMN/MrOHGjgLw5KYK9a2IJcDcMve3DoNZoOXaumn8eLmVGreW+jQk8sHWZQSmec5icUPH3PxVx4vB1EhID+MHrD+Dmbjfv+yoau8k7XEbOW1cA2PTQyg983yKThbeMNwDmposwMTG5rZhzL97cebwRBIH6kT7yOqWcbW+meWwARwsr1nuH8o2EdJJcfTCdp2PfgHKKkrY2ittbKWlvZWh6GicrK1J9/HgkJo7VPn4suc1nynzRPz45S3dolnNV3sG0RkuwiyPro0JIC/Un1stdNGeZD4JSpeb45Xr2F1bSOTjGighffvPZ7ayI8DPKBDJAWXUrf3jzIs2yPlKTgvnm5zYS5Gd4N785GsQff5OHpZWZwbQCRwcnuHCykpP/LKG7dZAVWVHsfjbjA99rv9gK11u4lTnYWjM9Mfo/H29AvJyqVzlBfqeUc50SrvS2sXDBAlI9Avhx8kYyPINYMk/pCpVWQ1lXFxfaWrnY3op0eAhzk0UkeXrxpeSVpPn5G82WfFqt4bKsncJmORclCvonpnC0tiI1xI9PpSwlJdAHGwvjaBPCbLy/XN/KP/PKKWvuwNfFni/uTGVzcoRRJCxgVkPnz/svkXuxAV9PR773lS2kJYWIEu+aG7r51U/P0KoY4OHHV7PnoRXzngRSz2gpK2zg7P4rXL/QhF+YOy/85P4PfK+15a1zqunh2b/DT0JO9ZFr7PzmN7/hRz/60fte//73v88rr7xyy58VBIGW8SHyOqXkdUqpHOzCdKEJq9xmBZAzvYLnHXhaR0feSaxKuzpQajT4LrEjzdePL69YRbKXN1amxnEe6R2b4KK0lYvSVi61zHLJw91d2BobzupgX6N2yeeg0eo4d72ZN/MraO4cID7Ik58/s4XUmACj7UU5rWb/8TL2nyjDdrElX302i/VrIkU59E2MT/PPPxdz4uh1AoPd+N1fPk1QiNu87tndNkju21c5f+gaw/3jRCb6880/PE5yZpQoRak7RXp6Ovn5+bzyyiu0tbXxwx/+EIBDhw5RWVnJL37xC771rW/xgx/8gKqqKhobG/n5z3/+Ee/6g3GzeAO3F3OGVUoKu1s43ymluFvBtE5DlIMbj4clssEnlIB5auaMqVRc6mij+MZBp2dykiXmFqzy8eHVNRms9vEz2lTO1Iyaq/IOLra0cqFZQc/YBC6LrUkL9efJ1YlGP+jADQFqeQ//zi+nsEqGi52N0QvIgiBQeEXCH/5dzODwJLs2xPPg9uXYG6CT/V7o9QLnTlfx198XIgBf+cYWMjfEzKtgODWh4sKJCs6+XYq0pgMXT3vuf24dGx9aic0S4+ii3Ar34s3/YUanpbSvnbxOCXmdLfROT+BqaUOmVwjfTcwk0dl7Xs/ZObpDcfvsGad+oB/ThQtZ6u7JE/FLSfP1J8zJ2ShTOTq9nrquPi5KWymWKKjt6sPSdBErAn14aUMaq4L98DRil3wOfSMTvFVUxZGLtai12ht6XfH4G8Hdag7y9gF+988LXK1sZUWCP3/56SOEBriKslZTQxe/e/0ckqYetu5cxuPPrMHK+u7jvE6np/JiM2ffLqX0fB2mZotYszWB7/75SbwCXQy487vDf1O8gfnnVI2j/e/kVLXDvViamLLa3Z+frdhMulfQvCYBBUFANjL8Tk51tWuWQh5k70Cqrz/fWL2G5Z6eRpnKgVkXq4vSVi5KWrksa2NGqyPGy409iTGsDvYjysPVaEXbOajUWs5ca+TN/AoUvcMkh/sYvYA8PqniX4dLOXSmElenxXz7C5tITwkVJR8ZGZ7ir/+vkHOnqoiK8eYPf38KH7/5TR+2SXvJffsqeUfKmBhRErMiiFf+9hSJa8I/Fs7EYsecBYIgCGJt/sPw5ptvMjY2xnPPPfe+ax9UXba3t0epVCJRjnCuXcLZjmYUE8M4mFuS7hnEOq9gVrv7Y7Xo7quZo6ppLnd0cKmjjUvtbbSPj2FtakqKtw+rffxI9fUzqsNDRXs3JS2zgUfaP4T5IhOW+3uzJjSAtWEBorvK3Ayjk9McvljL2xeqGJlQsi4hhIcyEojym1+R406g1ek5U1DHn98qYUat5ZGdSezemCCKxa8gCBSer+f3v8xFAJ54di3rN8fddaDVqLVcyqnh7FtXqL7SgoOLLZm7l5O1JwkP31sHtWeffRZfX19efvnlm76nu7ubwMBApqen72p//424VbyBm8cc+VAfFwbaOdveTNlAB4sWLGSFqy/rvILJ8Aqal0aXWqejqreHkvY2LnW0Ud3XC0Ccqxurff1I9fEjxtXNKEXSOde8kpbZ4nF5WzcanY4IDxdSg/3JCA8g0kNcV5mbQaPTUVDZwpv5FdS19hLh68rDGQlkJARjaoSJpTnUNnXxu39eoK65m+zUCJ56YKVBLYTfDYWsn9d/dBpJYzdbdi7lsSfTWGx794WXxopWcvZfofhUFXqdnlUbY8nek0R0ciALb/H3lZOTwyuvvEJpaekt75+YmMhrr71GVlbWXe/xvwl3G2+GJsYoHe7mXHszBV0tTGrVhNu7kOkVzDrPYKIc3O76OziXWM3Fm6udnUxq1PjYLiHVd/Z8k+zlg40RKOQA/ROTXJG1c1HSyiVZG6NKFa62NqwO9iM9PJAVAT6iu8rcDA1tvfw7r4K8CilLbCzYmxbHrtXR2C82fAH3ZhgcmeQvb13idEEdQb7OfPaxNSyNNgzd+72YmlTx598XcOpoBdFxPnz2hWwCg+++eDTYO8q5t0rJPXiN/q4RIhP9yd6bzOqNsVh8iMiqmZkZHR0duLrefP3XXnuNrq4u3njjjbve438b7ianmlIqaZwcIqe9mXMdzXROjeFsYU2GVzCZXsGkuPrOq9AyqFRypbP9nZjTPTHBYjNzVvn4kurjyypfPzwXG6dgO63WcL2ti5IbDXLF4AhWZqYk+XuzJiyAtaEBOC82jm7PezE4NsXB4moOFtcwOT3DhsQwHspIIMTL8BN5N4NGo+PouSr+fvAKCxYs4PE9K9iWGYupqeHPWIIgkHOyij/9Lh9zc1Oefj6DtZmRd/1sm1GpKT5Zxdm3rtBQ3oqLpz1Ze5LIvG85Lp63nvras2cPGRkZPPPMMzd9T11dHdnZ2XR1dd3V/oyJj2xi58CBA4yMjPD8889z7tw5UlNT/0OU6GZK0+kn/h+92mm8rJeQ7R1KtncICfPQrxAEAcnw0DvWwLV9vSxYsIBoF1c2hYSS6uNHvJHoDjAr0lXQJON8QwtXFR2oNFp8He1IDfZ7R3H9ozrowCzX882CCnKuNWFmuoidq6LYuybOKNZ6cxAEgeKrUv64r4TOnhG2Z8fxqd0rROmYAzTWd/H3PxZRUaZg07Z4Pv2Z9LtOsNqkveQfLiP/yHVGhyZJSo/gu395kmVpYZiIrKT/v4wPizdw85iz5vgfsLWyJt0ziF/f0K+wmUfXalCpJF8hI0/ewuWOdqa1WrxsbVnl7csTcUtZ6eODnYVxJifmHB7ON7S8Yw+8xNKClUG+vLptHauCfY3iYnUzzBWQD1yoYnB8irWxQfzly3uIC/QwaoFJ3j7In/aVcLGshbhIL/78k4cJCxSniD00OMHb/77CicPXCQ51442/PXnXCdb4yBQXTlZy/tA1pDUd+Id58MTXNrN2+1IWixQv72F+8Sb5yG/RLVpIorP3Df2KELxs7r54OKPVcrmz/YY1sJy+qUlszMxY4eXNV1JWkerrh5+R6A6CINDUO0BeQwv5N+yBTU0WkuDjyZOrE1kd7GcUF6ubQavTk18pfaeAHOLlzLceXkf2slCj6OfMYWJKxb5jZRw8XY6tjSVf/+x6slIjROnYazQ6zp2u4t9/LUGr1fHSt7eRkR11V78DrUbH9aJG8o6UUXq+DpslVqzblUj2niS8g8SZMLqHWdxtTpV2/PcM6mbwW2zPFt8IMr2DiXW8e7twQRCoH+jnvLyFfLmMhsEBTBYsIM7NnV3hkaT6+hHr6s4iI030D0xMkd/YQl6jjGuKTjQ6HUEujqwNDeBbm/1Y6uuBmRFE32+GhrZe3syv5Hy5BBtLM3anxbI7NRanJcY7d+n1Ankljfxp/yUGhyfZvTmBR3YmiaITCFBd0crf/lhEY10XO3Yv57Gn0rC0uvNmgiAIyBu6yT9SRv7R6ygnVKzIiuL7/3yGuJUhHwvGw0eBj+Sv+fr16zz99NPExcVx6NAh2tvbqaioeN/B54OwxS+CrcExRNrffedYq9dT0dNNrqyFPHkL7eNjOFpakeEfwLNLl7PCy9toPPI54eOiZjlFzYp3HB5WBvnw8oY0Vgb54mlvHNHhW+3xckMbb+aXU9rYjp+rPV++L41NSeFGcZt5Nypq2/n9m8U0SntZuyKEH35tOz4e4oxENzd2848/X6DsiozwSM+7FkeeHJum8Hg55w9eRVrbiZO7HZn3LWfjQykfWkm+h/ljPvEG4A+rd5LuHzYvZxn5yDB5chnn5S1U9HRjamLCSm9fvr56Dau8ffFZssRoyczwlJJiSSsXmuWUtLQxOaMm0sOFB5bHsjrYjwgPF6NTOt+Ltr4R9hVUcPJKA4sWmbBjZRR70mLxdDJuLOwdGOevb1/i7IUG/L0c+fHLO0hZGiDK72pkeIq3/nWJU0crsLG14LkvZrFpe8IdH050Oj1lhQ3kHrhGWWEDJotMSMmO5ulvbSdymf/HYhT5vxnzjTdfT0hnc1A0ThZ3f7AfVU1T1KogV9ZCcXsrSo2GKGcX7o+KJtXHj2hXN6MlVmqtlmuKTi5IZi3Ju0bHcVlsTUZ4EF/MXEmin5fRhI9vhjkHz/2FlfSNTLAmNog/vnAfS4O9jPp9mZnRcDinkn8dvQbA43tS2LUhHgsRppB1Wj1nT1Wx7x8ljAxPsX5LHI89mcYSuzsv+Cqaujn7VilFJyoYH54iOimQL/xoL2lbEuatPXgPH475xJy9gTFsCY4lZB6agBqdjqtdne80yHsmJ3CztiEjIJAXkley3NOLxebGoW3PCR8XNcspkiio6ezBfNEiVgf78d2tGaQE+hjNNe9mmHPw/Hd+ORXSLoI9nfjGQ7MFZAsDu/beCoIgUFqh4A9vXkTRMUh2agSf3psi2hRyXXU7f//TBaor2ohb6sev//g4oRF3Lo48NjxJ3uEy8g6X0drUg5uPI1sfXcWGB1fgINLeP0n4SCLusmXLPtDe63bwpdjU2xYvejfGVCoutCkoaJVzobWVsRkV/nb2rA8OITMgkDhX4+nTqDRaylo7KZYoKGqW0zkyjp2VBanB/jyUFEtqiP9HftABmJ7RcPpqA/sLq1D0DpMY6s2vntvGykh/o/NOG1t6+NP+S1yraiUx1lfUjvlA/zh/+X0B+efqCIvw4AevP8CypDtL5gRBoLmqnTP7LlN8shIWLGD1xlieeHkrMR9CfXg3RgfGsHO+F6jmg/nEG4C1XkF3XNTR6HRc7+6ioFVOgUKOYnSEJeYWpPsH8On4Zaz28TWKYx7M/i029PRzUdLKBYmC6s4eFi1cSKKfF5/PSCE9PPAj0a74oH1ebWpnX0ElJXUKPB1t+dz2VWxNiTSaWOAchkenePPoNY6eq8LR3ppvPL+BzNXhosQ9tVrL0QPX2PePS5ibL+LTn0ln0/b4O6aUDvaOcu7tq5x7u5SB7lFikoP4/A/3sHJ9DFY2t/fMVKvUmBn5s/5vw3zjzf1BcXd8xhEEgZbhYQpaZRQqFJT3dLFgwQKSPL14MWU16wIC8TAS3QGgb3ySYomC4hvaFUq1hlBXJzbHhLEmLIAYTzejnyE+CO39I7xVWPWOAPu2FZE8kB6Pt7OdUfeh0ejIKarn7wevMDYxze5NCTy0Y7loHfOyUhl/+PV5ujuHWb8ljgceXYmL652dM2ZUai6eriZn32Uayltx93Vi++OppG9fhqv37TXbBEFgfGiCJU4f/fPnk4z5xJzno1fdVU41pFTO5lQKOcXtrUyq1YQ4OrEzPILMgCCiXYxH21aqNVyVt3PhRsOqd3wSJxsrUkP8+fSqZawK8sXSzDi6PbfC5PQMJ67U81bh/zl4/v4Lu1ge6m30hkt1Qyd/2l9CVUMnqxID+c4XNxHgY3hnPYDuzmH+9EYBJUVNxMT78LPfPUJsvO8d3UMQBOquyTmz7zIlOdWYmi0ibUs8z3//PiKW3n7D6n8hp/qvLqULgkBpZwf762s41yJFLwgs8/DkucTlpPsFEOhgHPeUub1UdfRwtLKeM7USpmbUhLg6sTE6lDWhAcR4GUdH43YwODbF20VVHCyuRqXWsmF5GD94YgOh3sYXumuQ9vC3A5e5UqEgPMiNX35nN8ti7iwg3C7aWwc5/NZVzp+twcHBhm9+fyepa+9MbGtqfJqCY+Xk7LuCoqkbv1B3Pv31raRvX4r1bdK3tBotV09XcPavBVzLqeSc5u33vWdapUbePnjTe/T1Dd/2nu/BcGgbHeXt+loONtQxNK0k0N6BdQGBrPULYJmHp9G65AA9YxMcq2zgWGU97cNj7xx0Hl+5lJVBvh+L4jHMukudvd7Mv/PKaekeYlmIFz99ejNrYgONHhOHRqbYd+wax3KrsbI04zOPpLEtK0YUGsbkhIrTxys4drCM8bFpdj+UzN6HUu5oJFmn01N+oZGcfaVcK2zAxtaSzN3L2fDACjz9b5+b31KpIOcv+RTsK+Ho8N/fd12r098y3gDMqLW3vH4PhsfEzAwnJU3sq62mYXAAOwsL1vj683DMRlJ9/bA1N54zplKtIbdeytHKeq4pOt/RA/xK9mrSQvyNag98KwiCQJWsm3/llXOhRoabvS1Pb0pme0oUtiIVUm4GjUbHmcI6/nXkKgPDk2zOiObx3StwcjC8jbFOp+fyRQmH9pXSUNfJytRQXv3JHjy97mziuU3Sw5l9Vyg4cp1p5QwrsqL5wb+fJTYl+LYbViN9o5z/5wXO/rUA6yVW/Kb0h+97z+j4FFMzN485w6NTd7Tve5g/dHo9Je1t7K+vIV8uY+GCBSR5evNC8krS/QLw/QDbZrGg1wtcb+vkSEU9ufVSpjVaIjxc2JkQyZrQWT3Aj0PxGKB3eIL9hZUcKalFp9ezJTmCvWvijObg+W5U1nfwtwOXqajrIC7Cizdee4CYME9R1pJJ+zi0v5TC8/V4eNrz/Z/uZXnKndmkj49MkXe4jLP7r9Ah6yc4xpvPvnofaVvisbxNUXf1jIbLx66R89cCqgrqPjCnUk7P3PKM09Ezctt7/qjxX1nYGVBOcaSxnrfqamkbGyXG1Y1X165jfWCw0ShWc+gZm+BkVSPHqxqRDw4T5OLIZ9cmsz4q5CMTPr4ZpF2DvJlfQU5ZEzYWZjyYnsDu1BijigXOoa65m78euMy1qlbCg9346dd3kpwgDo1A3tLHv/56kZKiJjy87Hn2c5ms3xx32yPEgiAgqekgZ99lik5UgiCQujme51+7j/AEv9vec1tDB7l/L+L8vy4w0jdGfEY0L/3j+Q98b72kh0df+PtN7zUzPXZba97D/DGj1XJe3sJb9bVc7mjH1dqGB6Ji2BkeYTTtijko1RryG1s4VtnAFXk7thYWbI0NY0ts+MfqoAP/KcA+OjFNdmIo3/vU+o+kgDw4PMmbx65x/HwNi63MefrBVWzLihWFAjE+puTQ/qscP1SGAGzcEs/O+5ffUcd8uH+Mc29f5exbpfR3jRCTHMRXXn+QldkxmFnc3p7HhyYofOsSZ/9aQEulAs9gd/a+tP0D3zsyOnXLeAOg+JDCzz0YBoIgUN3Xy/66Gk5JmtALsDE4hG+lrmWZx93rDd4N9HqB8vYujlc1crZOwoxGS1qIP795YAsrPyZd8jm84odvEQABAABJREFUVz8n2t+dnzy5mTVxxi8gqzVaTufX8a+jVxkenWJTejQP71iOuwg0Ap1WT8H5Ot78ewldHcOsWBXCL37/KFGxt08rV6s0lORUc/rNyzRcV+Dm7cB9z6STuTvxtqkPWo2WazmV5P69kNJTFZhbmZH+wCqyH1/7ge8/XVDPkdzmm96vo6mSTWn+t/1vuIe7R8/EBIca63i7vpbuiQkSPTz5aeZ61gUEGU1ofQ4dw6OcuJFTdYyMEe7uwpeyVpEVGYzLYsMXROeDd+vn2C+25NMblrNzZbTRC8iCIFBRN1vQqWroJC7Si19/dw/xUeJMCjU1dPHPvxRTdkWGr78TX3xpI+vWR9+2fbkgCNRfV3DmzcuUnKlmkakJa7cl8NVfPkxwtPdt76OlSsG5vxWS/+ZFpkanWLY+jm++9cIHvreyvoPDF/9+03tNjfXe9rofNf5rCjuCIMxWkutqyFPIsFxkyvawcO6PjCbc2biJgkanI6dWwtHKeq4qOrC1MGdDdCg/2pVNlOdH4ypzM7xPP8fNga/uWcPmpAijcj3n9nK9pp1/HSmloq6DqFAPfv7NXSyPu/3iyJ1AJu3jzb9d5GJREwHBrnz7tV2kpN6+pZ9apaHoRAUn/1lCS10nPsGuPP7SJjJ2JN62bfD05DS5/7jA+X8W0Vwmw9nbkY1P/X/2zjo8quP7w2/cjRDcLQS34BLcpUDxChXqQN1ooU6VtlCFFiju7u6W4CF4Eoi7bbK72d35/ZFv+BVKkg3svZuQeZ9nHx723syZu3vvZ2fOzDmnF30ndqdy7YKTDTZuUJlvn326wOPx8XH02PedWX2QPBgRaaksuXCOdWGXSNNpCapZmz8HDSWoVh1Vd+YAnLkVw6rgC+wIvYbOYKBr/drMGjWQ7g3rWDUx4P2IjE9lyZ7TbD6elz9neOcmjAlqSaVy6ju6o+PSWLrhFFv3XsTTw5mXJnRlSK+milTWS0/LZu2KE6xfdQo7ezvGPNmJwY+1xt3DvEGeEIILJ26wceEhju28iJuHM71H5u3OMbdssBCCk1tPs33+Po5vCsbewZ4uj7fn5R8n0qRzwwJ11sfbjX9mPV1o28MGLzGrD5IHI0uvZ9Wli6wMvcCV5CT8fcvzTqcuDPNvpPqCVVx6JquCL7DxXBhRqRkEVPLj1e7tGdw8AF/3kpWUOzNHx7rDF1i+/yzxqZl0b16Pv98aRYu6yqxSF0Z2jp6Nu86zfFMw6Rk5DOzZhAmPtaOSn+V3MxkMRvbtCmXJgsPERqfSs19TPv16VLFKCcffTmHTosPsXHkCTaaW9r0a8/k/L9CycwOzd+dEhkWx9c/d7F16iLTEDJoHNeatv1+m8/B2hVbHGtijMcP6dyjw+C+zU8jRpJl9LZLiIYRgT/gNll+8wP7IcLycnBge0JjRjZtST8VoB8irELzxXJ4zJyQyGl83VwY28+exlo1pWFm9qlHmYDSZOHj+Jov3nObM9bz8OR9N6EW/wIY4qFwgxWQSHA25yeJ1J7h4JYbWTWsw+9PRtGxsvnOkOISFRrP470OcPHadho2qFHuHjjZbx+41wWxedJjIq3HUbVyVF2c8RtCQVmaHk2emZrFzwX52LtzPzfORVK5TkRGvD6LPU0H4VSv4vm3ZuDozho8r8PiVK2E89/Qys/pgbUrWiP8BSdRo+Hj/HnbcuEZglap81bMPA+o1wMVB3dUiIQQHrobzzfaD3E5Jp1uD2vw0ZjDdGtQqcZOrXIOR7acus+h/4Q9t/avz8yvD6Nioluqr+gajif3HrrJ0wymu3oynVZPq/Dj9cVo3rWFxh47JJDhx9Bprlp/g3OlIatetwMdfjqRTV3+zrzstKZMti4+wefERstJz6Ny/OS9Mf6xYiUlzNFq2/LGLFV+vJydLS+cR7Xjmy/G06N7YrAGTi7NjofGwzvZ6s/ohKT4Gk4k/Q07x84ljVHB348nmLXm8URMqe6jvmIhITuW77YfYc/kGAZUrMKVXRwY2bVjiJldCCM7djOGfXXnhD1XKWS9/DsDl63Es3XCK/cevUrG8B1Oe6U7/7k1wUsCZHRmeyOrlJ9iz4wLOTg6MfqIjw0YG4mrmNuJcvYFDW8+xbt5+rl+MomHLmrz53Vg6929u9u4cIQQnt51h4fQVXAu5SbNujZjy+wt0HdkeV4+indD2drZFxt8r8dlJ8jgUGcH7e3eSptUysL4/X/boTYtKlVVfJNLo9Px1OJi/Dwfj4ezE4OYBDG0RgH+lkjW5grvDH0xCMKxjY8Z0Vz9/DuSFDa3acpr1O8+Rm2tgaO/mjB7Shgq+lv/NyMzIYfP602xYHUxqShY9+jTh8+/GUM3MvDcAYacjWPfXfo5sO4+PnydDJ3al35j2+BZjV2HU1RgWf7aavUsPU6l2BYa80o9eT3QtdMHq33h7ulGxYsGaU87bjWjp2FGE6MwMPtyzi4O3IuhYvQY/9h1A7zr1cFJ5HiOEYEfoNb7bcYiETA09G9bhtwlD6VSvJg4qVSo2F63ewObjoSzec5pbCWl0blKb36eMINAK+XNyc43sOhTG0g2niIhKpmPrOoqFXBmNJo4cuMLqZccJC42mQcPKfP7dGNp2qGv2dSfFpbFp4WG2Lj2GXptLtyEtef3bsTRoZv5np8nIZv3sbaz+fhMmo4muj3fg1dnPFrpg9W9cXZwKHeNkZ5SeQjeleiQmhGDDlTA+PbgPVwcHFg4bQZcatazSl2vxSXy9/SBHrkfSp1E9/nhiGNXLeVulL4WRma1lzeELLNt7htTMHHq3aWC18IfsHD2b91xg1ZYQ4pMy6dauPm+/0IuAepUtbkuvM7B7xwVWLzvO7chkAtvX5csfxtK6bR2zHTqRV2NZ//dB9qwNxtnVkYETOjH4yU7FysKuSdew4ZcdrP1xMzlZWoa+0o/R7w6TyQNLCWFJiby7ewdXk5KY0r4Dz7cKVH13DkBGjpbfD5xk8fEz1CjnzZ9PPkaX+rVU70dRGE0m9p+7wT+7QrgQHkuTWpX4+rmBdG9RT/XwB5NJcOz0TZZvDOZM6G0a1K7AR5MH0L2jP/YWLosphOD82VusWnKME0evU61GOV6a3Ide/ZqanUMnM03DtqXH2PjPYVITM+ncvzmvfj4S/xbm5xgzmUwcWXeSpV+u5fqZcNoOaMlvId9Qr6UMYSgNZOi0fHnoACsvXaRv3fp8GtQTPzf1yuDmYzIJNp4LY9auw2Trc3mtZ0eeaN+ixC1YAVyNSuSfXcHsDL6Kt4cLz/QLZETnZqqHPwBERCWzYlMwOw5cwtXFkdGDWvNYvxZ4meFMLS5xsWmsXXGSbZvOYGtry4AhLRk6sg2VKnub9fdGg5GjOy+wbt4Bwk5HUL9pNd6eNYHOA5pj72D+JPrm+UiWfbWWAyuPUaVeJd5fMoVuozqYvcNHYj1MQrD84nlmHj6In5sbK0aOJrBKNav0JTQ6nq+27SckMoYhzQN4vXcnq1ezuh+pWTmsOnCOFfvPkqXVM7BtAD+8OMQq+XMysrRs3HWO1VvPkJqeTa/ODZnx+iDq1bK84z0nR8+OLedYu/wEcbFpdOziz3e/PEGzFuYvyF+/eJt1fx3gwKYzeHq7Mfy5bgwY3xGvYuQYy0jOZO1PW9gwZztGg5HhUwfy+JuDcVOxXHxJo+T9KptJpk7H1B1b2RdxkwlNm/NOp66qx3pCXinPb7YfYvmpczSoUJ6FzzxO29rWEcLCSEzPYvHu06w9fAEhBMM7N2Vcj1ZWCX+IT8pgzbYzbNx5HoPRyIDuTRg9uA1VK3lb3FZaqoYt60+zYU0wmRk59OjThI8+H0FtM0MXAC6eusny2bsIOXiZqrX9mPTRMHqNaFPoNuJ7MRqNLPtyHat/2IQwCYa83Jfhrw/CR5bmKzX8FnyCH48fpUmFimwe94Tq25Hz2XQujK+2HsAkBO/278aoNk1L3OqVPtfAxuOXWLQrhNuJaXRrVoe/3hxFi7pVVF+90uly2XEwjBWbgomMTqFdy1rM+vhx2jSz/I7A3Fwjh/aFsWb5Ca5ejqVJ8+p88vUo2neqb7YDOTE2jVW/7WHnqpPY2dvSb3R7hjzdhYrFTHJ6Yutp/nz7H26FRdN5eDte//MFGrSu+yCXJbECJ6JuM3XHVgwmI3P6D6J/vQZWCeO+Gp/Eh+t2cikmgZGtmzC5Z8cStyMQIORqFH9tP8nxsEjqVvZl2oRe9Gvjr0ji88IQQhBy4RYrNgVz7HQ41Sr7MHlid/oHNVYkxDMsNJq1K05wcF8Yvr7uPPlsNwYMbYmbuYlFtblsW3aMtfP2kxiTRvtejflmxas0aVu8SqBxEQn8MuVvjm8KoVaT6ry3eDLdHu+AncrhJ5IHIzk7m9e2beZkTBTPtWrD1HYdcLZXP0eWRqfny637WXcmlObVKrPihbE0q6ZMBdyHISY5g392BbPxaCiODnaM7NqcMUEtKG8Fh0J0XBqrtpxmy94L2NjYMKR3Mx4f2IqKCiwYJyVmsnldCBvXhqDT5tJnYDNGjGlv9o5AIQSnD11hxS+7uXDiBrX8KzP5y1EEDWll9g5kgFx9Lv9MX8n6OdtwcHJg+NSBDH21H55WmNOWNEqtY+e7Y4c5ExfDsuGjaFdNmXjBotDmGpi8bBOnb8UwY0gvHmvZqMRUtsonMS2LBTtPsfbwBTxcnHi2f1tGdG6Kh6v6q1eXb8SxfGMw+45ewdvTlXHDAhnWpzmeCqxeXQmLYcPqU+zffQknZwcGDm3FsMcDKe9n/kN/IzSahd9t4dS+MJq0rcOMv54jsHtAsVeeMlOzmPnEz5zZc5FxHwxn6Kv98PApWUneimLTpk1MnTqVJUuW0L59+/ues3z5ciIjI0lMTESj0fDbb7+p3EvlOBQZwbdHD/NWh8680DrQas/5gqOn+XrbAca2bc6UXh3xclH/OS4Mfa6B9UdDWbDjFEkZGga3b8SPLw+ldqXiOSUsQUqahrXbzrBuxzmyc/T07hrAZ28Npk4Ny69epSRnsWX9aTZvOE1aioZOXf155Y2+NGpivpM/PSWLVb/vZeOCQ3iXd+fptwfQ+/F2uJmZgycfk8nEym828PeHy+g8oh0fr3qTmo2s8xv5oJR1vcnQ6Zi8fQuN/Pz4vk9/yrlYx5ESGh3PswvXUKt8Oda8NL7E5bMQQnDqym3+3Hqc09eiaV2/Gj+/MoxOjZXJy1cYublGdh+5zPKNwdyITKR5QDVmvjeMjq3rWjy8Xa83cGDPJTasDuZKWAx16lfk7Q+HENSrkdkJSo0GI3vWBrP4x+2kJWXRb0x7hj3TlSoPsLp/7kAon4+ehVd5Dz5Z/w7tB7UuVTt0yrreAHx6cB/haamsGTWO5hWt40jJ0up4YdF6wpNS+XbkAAY0tY4zuzBiktP5a/tJNh27RHkvN14b1pmhHRvjaoWQ8guXo1m2MZhDJ6/h5+vBs6M7MbhXU9yKsehsDkIIQi9EsWHVKQ7tv4y7hzPDRrZhyIg2ePuY78gKOx3Bwm+3cO7YdVp18efLxS/SolPxv+PU+DQ+G/0D10+H8+T0UQx8obdZIeUlCSU1p1Q6ds7Fx7H4/Fm+6d3Pak6dHH0uryzdSGh0PPOfHkHTEuZRTkjLYv6OU6w7fAFPN2cmD+vCY52bqp4Q2WQSHD9zk2Ub8sIf6tb0472X+9Kzc0OLr6QZDEYO7g1j/apThIVGU6uOH6+83pcefZvg4mK+6F49f4tlP+/i+O6L1GtSjc//eYFWXfwf6Afm2umbfDryO3L1Br7bN4NG7RsUuw1rk5aWhr29PdWrF/ysXb16lb179/Lnn38CcOHCBbW6pzg6g4GP9++hT516vBzYzmr9mHfoFN/vPMw7/boysVNrq/XjfuhzDaw7cpEFO0+RkpnDsI5NmNg30Co7AiOjklm+KYQdB0JxcXbksb7NeaxfS3yLMQAxl8uXolm38iQH94bh4urEgCEtGfxYKyqaGf4AkJqYydp5+9i86AiOzg5MfHcQA8d3LNbqVT5ZaRq+eXoOJ7ac5sXvn+KxKQNK3MC4KMq63gD8cOwwBpORH/oMwMfFOgPW81FxPLdwLc2qVWLOuCE4q7zzpTCEEJy8cps/Nh/j7I0YAv2rM/eNx2ldX/3d0pkaLRt2/i/8IU1D947+vP9yXxrWs/yYMH+1fMuGM2RkZNO5W0NeeK0XTZqbn4siV29g77pglv+ym4ToVPqMasu4yX3xK4Zm5SOEYNV3G/nrg6V0GNyadxa+VuomWFJv4NCtCDZdvcyfg4ZazamTqdXx/D/riE5N559nH6deBevsiC6ImOR0/tqW59Cp4OPOe2N6MLh9I9UTIhuNJg6fus6yjcFcvBJDQL1KzHh9EN3aN7B4SLleZ2DvrotsWB3M9atxNGhYmTc/GES3Ho3MrhoMeVEPS3/ewZlDV2nUuhbfrnyVJm0fbPfwxcNhfDZ6Fk4ujvx4+HPqNDM/NL2koLTmlJxf6mLwyf69tK1ajeENG1nFvtFk4tWlG7kUE8/fE0fQuIp5yeDUIDNHx1/bTrB831m83V2YOqIrj3VqgpPKgzKDwciuw5dZsu4kEVHJtG1ei1kfj6RNs5oWn2hoNDq2rD/NupUnSUnOomNXf76bM4FmLYtnKykujV8/WsOxXRep37Qa0+c+S7tejR+4v6f3XGDaoK9o3MmfD5ZOtWjYVU62noibiQUej49PBkCr1d71vr29PfbFzIvg7e1N//79+frrrws8Z9WqVTg6OvLDDz+QnJzM888/XywbJZkFZ0+TmK1h8fDHrdaHRcfO8P3Ow7w/oBtPdmhltX7ci8kk2HoyjF83HiU5M5vhnZvydJ82VPRR36Fz8UoMi9ae4EjwDapV8ua1p7vTv3tji5csN5kERw9dYdWS41y6GEXd+hWZ8s4AuvcuXqhFrt7Ail92s/qPvbi4OzF+Sl8GTuiEi5khFPeSlabhlbbvodXo+H7fDJp0Dnigdu6HwWAqVG8gbxBoNBofWnPKut5cTU5i8YVzzOzZx2pOnatxSTy7YA0ta1Rh9tjBqo8fCuNSZDw/rj1I8NUo2jWswV9vjqJlPfUrXCWlZLFs4yk27jqPjY0Ng3s15fGBrRWpcBV+I4GVS46xf3co7u7ODBjakkGPtcavQvFsndgTyq8fryE5Pp1eIwIZ9XIvqtQ0v0rWvfzw/O/sXLif574az8g3B1t0bJeWqiFHU7DmpKZoMJlMUm8eEiEEM/bvpXeduvSqU88qfdAbDDy3cC2x6ZksfOZx6vipv8O3IFKzcvhj8zHWHrpARR93PhjXk4HtA1QPf9fpDWzbH8qyDaeIiU+jU5u6/PLZGJoFVLX4nCojPZuNa0PYsDovhUW3ngG89lY/AhoXz1bsrSRmf7iKM4eu0jiwNl8sepGWnR98F9bhdSf4bNQPtBvYincWvIq7t+UW67I1ukLHONG3U4DSMacqOb/WZpKu1XI2PpY/Bw212krk3IOnOBURzdLnR5UYp47BaGLd4Qv8tvkYQgheG9aZkV2bqT4g0+kNbNl7gaXrT5GYnEmvLgGKJe9KTspk3cpTbFoXghCCAYNbMmxUoNnJAvMxmUzsXHmSv77ciGc5Nz6Z/zyBQQEPdX8JIZj/4VJadG/MZxvfs3iceVhoNM9P+KPA4zp9BgaDAZd7JgbTp09nxowZFu0LQFRUFOHh4cyZM4fw8HAee+wxzpw5Y3E71uDI7UgG1venqod1ElyHxsTz7Y6DTO7ZsUQ5dc5cj+b71Qe4fCuBoR0bM2lge9UdOkIIgs/fYtHa45y+eJtG9SvzxTtD6dymLnaWXr3SG9iz4wKrlhzn9q1k2neuX+xkgflcORvJzx+sIvpmAhNe78egJzvjXIxdhfdj0287SUtI5++wn/CtbNkKDmkpWYXqDUDEzUSWLl3KgAED7npfCc15lPXm6O1beDk5MSKgsVXsa3MNvLlqK/Ur+jJn3OASkyA5MS2LORuOsPnEJZrWrsy8Nx6nlRV26ETHpbF0wym27r2Ip4czEx/vwJDezXF/QIdsQQghuHD2FisWH+PksevUqFWeKe8MoEfvJsVaLYe8Sp7zvtzInrXBBA1txdNvDaRiMapk3Y/wi7fY/vde3l8yhR5jOz9UW/dj59ZzbFwdWrD9qJP4VExXZYzzKOtNVEYG4WmpzOzVx2p9mLXrCNcTkln14rgS49TJNRhZvv8sc7eewMnBjnfHdGdIx8aqO3Syc/Rs3HWeZRtPkZGppV9QY779YDg1qlr+c0qIS2f18hNs23gGewc7Bj3WiqEjipfCAvLCPDcvOsKCb7dQqbovM5e+TLMO5pc9vx8mk4m/3l9C18c78P7iyRYP9Tx/JpKtqwse42Rlx5OZmVkq5lQl4xe7GFxJyvOoNfazjkPl3O1Y5uw7xlt9utCkaskIvzoRFsl3qw4QGZ/KqKDmTBrQXvUKENk5etbvOMvyTcFkaXQM6NGEcUMDqVLR2+K2bkUksWrZcfZsv4CbuzOjxndgyPDWeHgWf3Xz6vlb/PrRGq5duM3gp7rw9NsDipUUuSAuHArj8snr/Hj4c0WSBwY0rsoz371Q4PH4+DiCeswmMzPzrvcL8iwbjUa6dev2n/ebNWvGr7/+WmR/PDw8aNUqz+lQu3Zt4uLiyMzMxMMKJcAtTVhSEoMaNbGK7Wx9Lm+t3EbLGlWY1DXQKn24l5jkDH5ae5Bdp6/R1r86Sz8YT4Nq6ubeEEJwJPgGC9ccJ+xaHK2b1uCnGaNo1cTypUWzMrVsXhfCutWnSE/NpkffJnz85Uhq1Sn+NaclZ7Hw2y3sWHGCxoF1mLP1LarVefiKhHqtnnU/b2HQC30s7tQB8C7nztzFBesNwNBhaxg3bhxz58696/37aY7Um4K5kpxEI78KVlu4+m7HIeLSM/l9woQS4dTR5RpYtCuEv3ecxNvdhS8nDqBPG/Vzb4TfTmLx2pPsPhxGhfIeTHmmO/27N8HJwuHtRqOJowevsHLJMS5fiqFxs2p8+s0o2nU0PwH7nbYMRrYsOcqi77fh5OLItN8n0qlfM4v0c9X3G6nesCpBoztapL176TOgOYOHFewwmvNLNlmaFA4dOnTX+1Jvisfl5ERsgIDy6lfGBThyPZIFR0/z5WN9SoRTRwjBwQs3+WH1QeJTM5nQqzUT+wbipnIOnUyNljVbz7Bycwj6XANDezdnzJA2+Pla/p67cS2eVUuOsW9PKOXKufPkc90YOLQlrg/grL5w4ga/Tl9D1I0ERkzqzrjJfYvtiL4fxzYGE3U1lhnr3lEkf1ezljWZ/snYAo9fuRLGM8+tJSEh4a73S+Kcyvq/2sXkSnIS3s7OVHJXP/lstj6Xd1Zvo32dGiVi5TxDo+WblfvYevIynZvU5rsXBlOzouUH9YWhzzWwfsc5/llzHJ3ewNA+eeJTXoHkwLExqSz4cz97d4ZStXo5Xnm9L736N33gShMbFx7i9xnraBxYmzlb3qJ2QBWL9XXr3N0EtK9P447+Fmvz37i4OhY6sXR0zgXA2dk8B5+dnR2HDx8uVh8MBgOJiYlUrlyZLl26sHz5cgA0Gg2Ojo6PxKAHIFOvI8DPOklDv9l+kNTsbOZPHGH1xOwmk2DlgbP8vO4wft7uzHpxCF2bFa9yysMihODUuUh+X3KIqzfj6dSmLr9/NY4mDSz37Oaj1eaydsUJViw+BkIwcFgrHhvVttjhD/lcvxjFtKf+wN7ejnd+nEC3IS0t9tkd2xRCemIGj00ZUPTJD4C9vW2RjixHJ3vs7OzM0hypNwVzOTGBLnWtExJx6FoES06c5duR/anqY/2KjeduxPDxwh0kpmfxTN+2TOjVWvU8gdFxafy94ig7D12iRpVyvP9KP3p1CbB4PgshBMcOXeWv3/dxOzKJjl38+fGPp2jc9MHySGZnafnkub+4FBLOY892Y+xrfR44zPNecrJy2Lf0MK/OflaxJMnePm5UrFiw5viUcyM7J03qzUNyOTGRGl7eVqkqnJat5f21O+jXpAHDWlontca/ScnI5oulu9l37ga9WzfgtykjqOKr7k7tHK2e1VvPsGTdSQBGDGjJ4wNb4e1p+QT6tyOT+ev3vRw5cIVadfx48/1BdO/dBAeHB1uMXjZ7J/98v41WXfz58JenqVaM6sNFsWXubtoOaEnNAGV2abq6ORU6xsnKjgdKx5yq1Dl2bqalUq+cr1VWs37dd5wUTQ6Lnh1l8SoHxeXopQg++WcnJiGY9eIQujVXt4yt0Whi58FLzFt+hNT0bEb0b8n4x9oqIj4pyVksW3iELRtO41fRk2mfDadzUMOHCrVYO28/cz/fwFNvD2D0y70sfj9pNVoq1bbOCogS/PDDD0RGRrJgwQKcnZ1p0aIFhw8fZvbs2axZs4aBAwdy4MABpk+fTnx8PPPmzbN2ly1KfSuUNg+JjGbFqfN8O7I/lbysO4iMSc7gk0U7OX0tiol92/Jc/7aqlxG+dC2W3xcf5PTF23RoVZu/v32CBnUsv3MzN9fI9k1nWbLgMBqNlsfHtmfEmHa4uT/4Lsgr524x7YnfqdukGh/98UyxK10VhVajxdHZkfJVrL/iaQnKst6Ep6cx0Qp6k63PZcbGPfRrXJ9BzRuqbv/f6HMN/Lb5GIt2hdAuoAZ/TB2peiL2lDQNC1cfZ8Ouc1Qq78n0qYPo0dFfkbHfudMR/P3Hfi5diKJL9wCmfzmSGrUePPeNJlPLx0//QXREEj+uf526jS2bg8iQa8SQa3xkxjhlWm/SUq0yvgH4fuchhBBMH9zT6kn+95y5xhdL9+DsaM9vU0bQrmENVe0bDEY27b7AglXHyNbqGT2oNaOHtMFDgeiLhLh0Fs8/xI6t56hRozyffjOK9p3qP/B3IIRg0Q/bWDZ7Fy9/OoJBT3RSZE5Vu4m634mSKKk5pc6xE56aQp3y6q+eX41LYuHR07w/IIgKntYrVZ2jz2XW6oOsPnSe3q0b8P6YHni7q5tg8VjITX5ddIDI6BQG9mjCxFEdqaDA9sCMjBxWLDrKhtWncPNw5sXJvRkwtKXZ5Tzvh8lkYuG3W1n52x6enzaU4c8FWa7D/8Le0R6D3qBI29bgjTfe4I033rjrvaCgIIKCggCwtbXlu+++s0LPlKecswvezuo+Y7lGIzM27qFj3RoMbKbMri9z2XQslG9W7sfP250Fb4+hcS11Q1CjYlP5fckh9h+7SlP/Ksz5dDQtGlu+GqLJJNi17TyL/z5IUmImA4e1YtxTnSnn+3B6H7w/jC9fXUhAy1p8PPcZnBTY0u3gaI9el2vxdq1FWdYbrcFAHR/1HXS/7jtORo6W9wcGqW7731yNSmTa/G1EJ2fw/tgeDO/cVNVJX45Wz7KNwSzbcApXF0emPtuTQT2aPNS4oyAuX4rm79/3cSY4gpZtavHTn0/TqMnDrUgnxaUx49l5pCRk8PXyV6hZ3/J6bf+/XVOPyhinLOvNzdQUgurVV93u6choVodc5LvH++Ptqm7qiH+TmaPj6+V72XryMsM6NuGNkV1xd7FsvqzCEEKw//hV/lh8iLikDIb1ac6TI9pTzoKJgfNJTcli6YK8RXLf8u688d4gevVr+lCL5EaDkV+nr2Xb0mNM/WYMfUcpUznWwdGeXN2joTegrOaUOsfOjdRUejZQd6IjhOCzLXtpWNmP0YFNVbX9bxLTspj62waiEtP56pkB9A1U93NISsli1rw9HDhxjS5t6/H5W0OoWU0ZT3/wiRt8+8UmjAYTTz0fxJARrR845OrfHNx0ltV/7OWNb8fS+/G2Fujp/bGzt0OvfXQmWmWZ2j7qhjcCLDl+llspacwZN8RqK1kGo4nvVx9gxf6zjOvRkleHdlY1DMJgMLJ0wykWrDpG5QpefPXuMDoH1lXk80iIS+ebzzdy4dwt+gxozoSnOxerZHlBpCVn8fmL8+nQtymvfzPWIrHm98POwR6T0YQQwuorn5KHp67Kjp2biSksPHqa9/p3o4KH9Rau9p69zrS/t9GwRgVWfDiBan7eqto/fiac7/7YRUaWlieGt2PUoNYWr6oHeYnYF849wKqlxwhoXI1vZ0+gRetaFmn7h7eXoc3W893qyQ9V8aow7P8XqmHINSrSvkQ9ItLTVHckG00mPtu8jw51azCgqfUWrqIS05j86wYyNFp+fHkoXZvWUdV+bEI63/6xi5NnI+jdJYAfPh6pSF5SgEP7L/Pj11uwd7Djxcm96T+k5QOHXP2brUuPsXPVCT749Sk6929ugZ7eHzsHewyGR8exoySlzrGTmK2hkZ+62z93hF4jOCKaZZPGWC3PxdWoRKb8uh5nBwcWvTeOGhW8VbMthGDT7gv8+s8BPNyd+OGjkbRtUUsRW1mZWv6Ys5vtm87SrWcjJr/dH88HSIp8P4QQrJ23j079mynq1Mm3Ze1wPYllUDupYIomm1/3n+Dpjq2o6eutqu18NFo9783bQvDV23z93EB6t26gqv2w67HM/HUnt2NSmDiqI2OHtFFkxdxkEmzZcJq5v+yhvJ8Hs+c+Q4OGlS3W/tYlR3FwcmDKV6MUc+oACJMJQDp1HgEqu3uoXuZ85rYD1PErx+hAyyTWLS5CCP7ZFcLP6w8xonMz3hnd3eI5bAojLSOb2fP3s+PgJbp3aMDUZ3vi62P5FXPIq2j5/ZebiI9NZ+o7A+hvwVxb4WExnDl0lU/nT1LMqQMgTAIAGznGKfVoDQYaqzynWhNykWsJSWx45Qmr/WaduxnDG79tpIK3O0veH6dqRU+j0cSabWf4c+khKpb35JfPx9BcodwxaakafvlhB/v3XKLfoOa8NKXPAyVFvh9Go4l1fx2gz8i2ijp1IG+MY2tj3TyTpYVS59gBaKJiRSxdroFvdxxicPOGtKhuuQF/cTgSGsG7czfTqGZFvp00GC8VK17FJWbwxextnAuLYtSg1jw7uiMuCmWHDz5xg+++2IzRaGLa58Pp2v3hSo7fS+ipm1y7EMVLn4ywWJsFIUwCGysnu5VYhkYqJ07+ec8xnOztmNRVWedjQSSmZfHqnHUkZ2Tzx9THaVZHPd3LzTXy59JDrNgcQvOAaiz84WmqV1Fmx1RiQgYzP1nPxXO3GTm2PU8+19UiuwLz0esMbP7nMAPGdbBIpb3CMJkEtipOhCXKofYk6+DVcA5di2D+xBGqOlPyMZpMfLVsL+uOXOD14V0Z37OVqpO9/ceu8t2fu7C3t+Ord4fRpa0yiauNBhN//b6XNctP0LxVTT77ZjSVq1pW29b9fYDq9SrSupuyuyBM/3PsKJU4WaIejrZ21PdVzgl4L5laHT/tOcq4ts2pW8E6uX12n77KtPnbaRdQg6+eGYCrihWvbsWk8PnP27gaHs+EYW15YkR7i1fWy+fwgcv8+PVWHB3t+Py7MbTraFltO7knlNjIJD756zmLtns/5BjHfEqdY6eqhydeZmaltgTrz14iMVPDG70LLruoJMcuRfLG7xvp3ao+05/og4MCq9YFcS4sig+/2YC3pwt/fDWOgHrKTfCOHLjC5x+toVO3hkx+qx+eXpZPwnz2yDUq1yxPQKtaFm/7XrLSNPgotKUSIEejI/JqbIHH4+PjFbNd1ghQMadXbHoma0Iu8vHgHrg5qV+lIjlDwws/rgbgn3fHUMVXvco4qenZfPTdRq7cjOfN53sxpHczxSZ4CXHpvPXqIuzt7fh57kT8LVgRL5/b1+NJTcqkx2OtLd72vWjSNLg8RHLnojAajIXqDSBDTy1Ew/LqTbKEEPyy7zhB/rVpX0f9xJQmk+CzxbvZfuoy300aTPcW6lUDM5kEc5cdZtHaEwzq2ZRXnwrC3UIr2fdiNJiY+el6jh68ypR3BtB/cAtFtO3c0Wv0G9tBcYdLVpoGQFHNSU/OQptuKvB4WlKmYrbLEvXKlcPRTr15xfKT59AbjLzcvYNqNv/NntPXeP+vrYzo0oy3RwWpGoVx4kw403/YTJVK3vz1zRPUranc2HLXtvN8+/lG+g5szotT+uCmgLadO3qNBs1rUL2e8pstNGkaXBpZPrdiPtlZ2kLHODERiYrZtjSlzrFTt5x6saAmk2DBkdMMbt7QKlVpzt2M4c0/NtKrVX0+eaqvqgK0efcFvpu7i/Yta/PxlIG4uig3yTy0/zJffLSWfoNbMPmt/oqFMGVl5OD9kIlQzSX6WhxNOgUo1v7lM5G8uPibAo9rDVmK2S5rqBl/vvjYGXzcXBjaQrl7pyAyc3S8OnsdBpOJv94YhZ+3erk2rkck8t7MdQD89sU46tVSbsATH5vGW68txtnJgW9mT8CnnDIhF1np2QB4KZBY/l6ir8VStb5yjvfUxExe7FOw3gBExMYpZr8sUa+ceo6d07diOB8Vx+LnRqlmMx8hBD+sOcDWE2F8/+JguqiY3yI7R8+nP23h+Jlw3n2pD4N7KReCZjAY+fqTDRw7fJXPvhtNqza1FbOl1hgn+lreBKiqAomZ89m1+iSb/z5Z4PEb6SfpNVbZ8I+yQD0VK2LpDUYWHT/LqDZNrZIw+XhYJO//nefUeXd0d9V2BgohWLEphF8XHaBX54a8+2Ifi+4OvpcdW87x/ZebGDW+I8++pNx1qqU3Qgiir8XR56nuitm4cPwGO2cXPMbJ1CdBKYk8LXWOnfoqTrIOXAsnIjmVn8cOUs1mPpHxqUz5ZT1tGlRnxpN9VHPqCCH4bfFBlq4/xZMj2vPcmE6K5oo5tP8yn09bw8ChrXj1zX6K2tJk5OBmoXw9haHX5RIfkUC1BspNtBq2rMmzs14o8Hh8fBzd+ixWzH5ZwsleHZnU6PSsDL7ApK6BOKpkM59co5E3f99IcmY2898arapT5+TZCD78dgP+dSvy2ZtD8FFgt14+SYkZvP7SQtw9XPjm5/F4K5RHA/IGPYDFS5vfj6hrsYpOsnz8PPh96TuFnjNkxD7F7Jcl6qu4eLXw6GmaVatEqxqW37FWFP/sCmHZvjN8MbG/qk6dlDQNUz9ZRWp6Nj/NGKVYbgvIG099/tFaQk7c5LNvR9NSQaeO0WgiO1OLuwpjnOirsTi7OuFbRbl7tffItgwaE1Tg8Tm//YRGl6GY/bKCmonat164QqomhwkdWqpmM5/LtxN4849N9G7VgHdGqevU+faPXWzafZ4XJ3Rl3NBARW1v33yW77/czNgnOzHxhSBFbWWpNKdKT8ogK02j6Binafu6TP+i4AWOK1cvM/GFvYrZtySlzrFTxVO90IBt56/QumYV6ldUbwUNQKs38PbczVQt78XXzw/EQcVtkkvWn2TZhlN8+Fp/+gc1VtRWVqaWn7/ZSu/+zXjtrX6KC21achZeCq3O/5v4iARMJkGVesqJkIubEzULcRw5uAvFbEuU4fC1CLL1uYxo3UR123PWH+FieBwL3hlD1fLqaWzY9Vg+/HYDndrU5cNX+1ukSkNh/P7zbuzs7fj+lyfwUHhAkp6chZuHMw4qVBKLuR5H18eV29puZ29XqN4AODortwJZlqjq6amKHY1Oz/4r4Uwf3EP1BKYhV6OYvf4wUx7rQr/AhqrZzc7R8/aXa9Hqcpn79QQq+Sn7We/bFcqRA1f47pcnaN6ypqK2MlLywqO8yinvlI+5EUeVepUUvW+8fN2pWLHgEA/v8h5ooqVj52FRS28Atl28StcGtaiscgREZo6Od/7cTOOalZjxVB9VC5v8tvggW/Ze5Mt3lMvflU9yUia//biTEaPb8cyLyu1uySctKYvKNZTf8RVzPW83sJJzKld350LHOJn6ZMVsW5pSl4movKtyq7n/xmA0cfBaOD0a1lXF3r/5duU+4lIy+fq5gbg4qjdY3rbvIr8vPsTkiT0Ud+oALJx7AJMQTHqtlyoDy5SEDHwUHsgBxNzIy29Tpa56Sb4lpZ99V27Sonplyrmpo3H5HDh/g0W7Q3hvbA8aVFMvn9DtmFTe/mItTRtWZdpryjt1TgeHc2DPJV6e2kdxpw6opzdGo5G48ASq1FVu0CNRD2d7dX7zj1yPxGAyEuSvbonf5AwN7/+9la7N6vBEL+XzT+WTm2tk2rcbiU/M4IePRiru1NFodPwxZzf9BrdQ3KkDeXoDebvrlCbmZjyV5fjmkcDXRZ3xRrY+l+M3b9Fd5TmVEIJP/tlJjj6XL5/pr+pC+crNISxdf4r3X+6ruFMHYO4ve3DzcOapSd0UtwWQmqjenMrO3o4K1dXdZFFaKXWOnXLO6pQBvRAdR3qOTvVBz96z11l35CIznuxDNT9v1exevBrDzF93MH5YWx4f2Epxe7HRqWxcG8yzL/WwWDnzwhBCkBSXRrkKyotQXHgCHuXccfNSfneQ5NFACMGhaxEE+Su3Vf9+pGZmM33hDga3b8SQDso7c/PR6nJ5+8u1VPLz5PO3hihSyvxe/py9m3Yd69Ghszql25Pj01XRm5TYNHL1BirXkRMtifkcuhZBs2qV8XVX15H82eLdONrbMeOJPqruFJq9YB8XrkTz3YcjqFZZmUp7/2bNsuPodQaeVWHlHCApLg1AtTFO5dpSbx4FyrmoM6c6EX4bvcFItwbqjnE2HA1l/7kbfDGxP+VVHJOfPBvBz/P38dITXemnwkL59Stx7NlxkZcm98ZFwZyo+RiNJlISM1TTm4o1y2OnYvGg0kypc+y4OaizmnXudizl3FyoXV75AUA+Wr2BH1YfYEDbhvRQsTqEwWDkm9920qJxdV6c0EUVmwf2XMLdw5m+A9RJfpcYk0ZGioa6jaoqbkuTno2Hgrk71GbLli1MmjSJb7/9lnHjxnHz5s0Cz129ejUuKg0UHiVup6aTosmhTS3l8j3cj183HcXRwZ53Rqsz+chn/spjpKRp+OrdYYomZs8nMiKJG9fieXy8epU4rl24TZ1Gyucuyc7IS9Ls/ohojtQbdTh3O5Y2NZX/Pfw3Ry6Gc/DCTT6e0BtPN/WSp164HM3a7Wd5a1JvGiq4nT8fIQR7d4XSd0BzRfN4/ZvrF25TsVo5VXJeaNKzpd48Irg5qlN989ztWGr5+uDnod59k5mtZfb6w4zq1py2DdWr+pej1fPtHzsJal+fcUMDVbG5b3colap40zlIndDWyCuxGPRGVeZU2RnZuPuol/dRaZTWnFLn2FErkemF6HgaV6mo6orS4j0hpGRmM/kxdZwr+SzbGExUbCpvv9Bbtes9tP8yHbv6Y2evzi14KSQcWztbGjRXrlxePrpsHY4qTFbVIioqii+//JK3336bxx57jE8//fS+58XGxhISEoIQMr9PcbkYHY+drQ0NK6kXCnU1KpF1hy/y2tBOuDmrd79ej0hk+cZTvDC+C34qVIwCOLwvDG8fN5o0U/75B8jR6AgPiyGgVS3FbWmz9QA4PSKaI/VGebL1udxITKFJVfV2XeQajXy/5iDdW9RTdZKVm2vkm993Eti8Jn26qlNtMOJmItG3U+jcXb38QZdCIlTRG8gb40i9eTRQa04VGh2vqt4AzN16ApMQvDBI3dLq81ceIyNLy9Rne6oypxJCcGhfGF2CGqo2h7sUEoGLuxM1GijvKNdm6x8ZvQHlNafUJU9WS4QuRsczsJm/KrYAcnS5/LMzmKd6t6GCihVpUtOzWbj6GE+ObK/K9mSAxIQMrl6O5clnu6piD+Dy6QhqN6yMs6uT4rb02lzFRSgtJZ2I0NsFHr8ddQsArVZ71/v29vbYF/MZeuGF/6++ZTKZcHO7/4rL559/ztdff82sWbOK1b4kb9BT189X1Zxaf245ToNqfgxs10g1mwBzFu6nQZ2KDOujXqnaI4eu0rFLA+zs1HEkXz13C5NJqDLR0uf8z7GjoLZla7IJv3irwEGjEILM9CyMRuNDa47UG+UJi03AJISqE60dwVeISkjjp5eHqmYTYOOuc0THpTHzvcdUm/QcPXgFn3JuNGqizg5Mk8nElbORPPFmf1XsqTHGSYhOJCdJX+Dx+KhETMIk9eYhcbZTfk4lhOBiTDwvdGunuK18UjOzWXHgHFMf64KXirsDY+LTWLEpmMnP9KC8ConMIc+RHBuTRudu6jmSL5+JwL95DVXGVPocPU6uyupNalJaoXOq8EuRQOmYU5U+x44KIqTR6bmdmqbq6vmeM9fQ6g2M6qbeZAfykns5OzkwepB6SQyDT9zA0dGeFm1qqWbz0ukIGilYavTfCJMJWwXFbujQoYx8bCT7vjuJl81/M9IbhYHTHKJBswb/2cI3ffp0ZsyY8UB2TSYTy5Yt4+eff/7Psd9//52xY8fi7v7obJdUkyvxSarqTWpmNgfP3+SjCb1UrRARejWW4PORzPp4pGpOltQUDdcuxzLh6c6q2IO8HYJ+Vbzxq6K8s9xkMgEopjlt2rQh5nYsvZsOoLbN/Xc83BSXiOEW+/btY8CAAXcde1DNkXqjHFfiknB3cqSqt3oVcTYeDaVL09pUVzF3YG6ukSUbTjGoZ1OqVlLP7qkTNwhsX1c1bb11LR5NppbGqo1xhKJjnJEjR/L48FFUifTHzua/Y/40kcRZjjB6/CiLjXHKqt6osViemKkhLVtLgIpjnK0nL+NgZ8vQjurlDgRYuv4UFcp7MLR3M9Vsnjp+A08vF/xVCP3OJzQ4nB7D1Jk3moSyc6rhw4fz/DOT2DBtD+42/60Kmyv0hHCARm39S8WcqvQ5dlRInnQ9IRkhwF9FEdp4LG/Q4+OhXiLDTI2WtdvPMG5oW1xUDMUIPnGTZi1r4OSkzu4EbbaOG6HRDH82SBV7JpNQdGWwf//+/D73d6ZOncrevXtp3vz/nYE6nY4hQ4bQ2aE9K1euxNb2bjEsyLNsNBrp1u2/mfSbNWvGr7/+CsC7777Le++9R40a/91GHxwcTFpaGocPH8ZoNDJz5kzGjh1LzZrKVwN5FLgSl8jETuo5V7eevIyjgx29WqmTSDifRWuPE1CvEm2aqXdfnD51Ezs7W5q3rqWazUvB4QS0Um+SBaCU5Pj5+XHs1FG6du3KkA+68tprr911fNasWXz77REuHjpPzZo1/7Ot+H6aI/XGulyNT8S/UnnVdrBEJ6UTfDWKWS8OUcVePjsPXSI5VaNanguArEwtYaHRDBupns1LweE4uzpSu6E6EzuTyaTovbNgwQKGDh2KTSMd69evwPFfeWDOnDlDz549WTB7PqNHj2bevHl3/a3Um+LhYKv8AsvluEQAGlRSp6qREIKNx0Lp3boBrirObZJSstiy9yKvTQxSpSBEPsEnbtAqsLZqi2UpCRnE3UqmUWv1xjhK6s2YMWNISEjgq6++4uDBg9SvX//OsaysLPr06cOQ2gP5+++//xMWVRLnVFZz7KxcuZKTJ0+SnZ3NmDFj6NrVvLAcNXbsXE9Ixsnejuo+//XcKUGGRkvItSi+fm6gKvby2bLnIiaTYHj/FqrZ1OlyCT5+g6cnBalm88alaExGEw1bqfMjbNAbsFO4dPMTTzxBZmYmffr04eDBg/j7+2MwGBg7dix6vZ7169cXK+GWnZ0dhw8fLvD4+++/z9ChQ2nfvj3r169n2LBhGAwGEhMTqVy58l2DqxkzZvDee+891PVZmgfVGzVIzc4hKSubBhXVK+V44PwNgprXxUUl5yrklTc/fOoGX7w9RNXcZUcOXqVp8+q4uSkfhgl5g8qr528z5pVeqtjL1RsAsHdQ7rexfv367Ny5k+7du+Ph4cHTTz8NwLx58/jyyy/Zv38/devmlbE1Z1uy1Bvrcj0hmXoV1NOb/edu4OHiRMcmtVSzKYRgxaYQendpSKUK6ozlAI4fuYYNNrRqq15F1avnb1G/aXXVqsYoPcZxdHRkzZo19O/fn/Hjx7Ns2TLs7e0JCwujb9++fPXVV4wfPx6QepPPg2qOGr/F1xOS8fNww8dVncTTsSkZXItO4s2R6pT9zmft9rO4uzkxsEdT1WxmZORw4ewt3nh/kGo2r57PS/XQoIU6udIMegP2Cs+pJk+eTGZmJr169eLw4cNUr14drVbLsGHD8PPzY8GCBTgUo3iTNTXHKo6djIwMZs6cSUhICFqtlsDAQM6fP/+f3QX3w9FO+R+uiORUavn6qLaN9tzNGISA1vXVq4hjMgnW7ThLv6DGeKgYf3r8yDW02ly69lAniSFAxOVYXNydqFitnCr2MtM0eKoQW/vyyy/fEaKDBw8yffp0oqOj2b17t0UrN/z4448sWrSIY8eOAWBra8uwYcM4fPgws2fPZs2aNQDk5OTw/fffYzQa+fzzz3n77bdxclJnMl0YD6M3ahCRlAqgWgW+XIORi+FxqlfCWr/zLBXKe9ApUL2KfxqNjuNHrvLq631Vs5mamEFGqoZaAeqsnmelarCxscFV4Wo4TZs2ZevWrfTt2xc3NzdMJhNvv/02u3fvpnFjy213l3qjPBFJafRuVL/oEy3E2RvRtKhXBQcVxm/5nLsUxc1bSXzwSj/VbALs3XWRNu3q4KlCdap8Ii7H4t9SnYUrXY4OvTYXD4XHOK6urmzatImePXvy/PPPM23aNHr37s0777xzV46Kh6W06w2UfM2JSE5VtcLwmesx2NvZ0qyOeqFJublGNu0+z+BezXByVG9qfXDvJWxtbenYVb2csBFXYvGr4o2HlzoRJpmpGspXUX7+9sEHH5CRkUGvXr3Ys2cPr7zyCgArVqwollOnKJTWHKs4dk6cOIG/vz82Nja4uLjg5ubGjRs37tr+ZDAYMBgMd/6fk5MD5IWaKO1hjk5MoaqH63+SJClF6M1oqvu64+Jgq5rNq+HxRMcmMWBKX9VsAhw/fJkmzavg5u6gmt1bN2KpVrc8Op1OFXsZqel4+3lb9PqcnJzue9+/++67ZGRk0KRJE+rVq8e+ffvw8LBspaGpU6cyderU/7wfFBREUFDQnf+7uLgwbdo0pk2bZlH7D4s5egMFa47S92lkQhIOwoS3kzrPxLWoRHQ6LQFVy6n2DJpMgv1Hw+gf1BhDrh5DripmOXX8GkZTLoEdaqt2rTcvR2MSRirX9FHFZnpKOi7eTuj1BScaLS4F6U3btm1Zv349Q4bkhdRs3ryZ1q0tG0Io9UbZe0aj05OWlUlldxfVnomwiFiGdmik6lhj9+FQ6tcqR61qlv0tLoycHD3nz4Tz6hvqjauEEERFxNN9eEtVbKbEp2LChKOrZX+v7qc5np6ebN++nW7dutGsWTPefPNN3nrrLYvZhNKvN/Bwcyo17pmoxBSqermrOKeKwr+KD5gMaLWGov/AApy+eIu09Ez6dGmg7pzq6BVat6+JnZ1Qze7tm3lzKrXsZaRlUNW/ouJ6Y2Njw8yZM8nIyMDf35/mzZuzc+dOnJ0tu/lBcc0RVmDp0qXiueeeu/P/nj17iqNHj951zvTp0wUgX/IlXyBycnIKfJ5MJpNYu3atiIuLU+yZLc2YozdCSM2RL/nKfxWmN0IIcfLkSXHq1CmLP6uPAlJv5Eu+iv8qTHNiY2PFunXrhMlkUuSZLe3IOZV8yVfxXoXpjdFoFCtWrBApKSmKPbNKYpUdO+XLlycrK+vO/zMzMylf/u5472nTpt0VU5adnY2vry8pKSkWDTMp6Wi1Wnx8fEhNTbW417AkI6/77usubPudjY0Njz32mBrdK5WYozcgNSefsvjslcVrhgfTG4DAQPUSw5Y2pN4UD/nsyeuGwjWnUqVKDBs2TIXelU7knMp85HMnrxsK1xtbW1tGjRqlRvcUwSqOnXbt2vHuu+8iRN7WMY1Gcyfx4p2OFVAb3sXFpUzdlPk4OzvL6y5DlNXrVgJz9Aak5txLWbwHy+I1Q9m9biWQevNglNV7UF635GGRc6riU1bvP3ndjz5Wcex4enry3nvv8cYbb5Cdnc0vv/xSYpJ8SSSSRwupNxKJRC2k3kgkEjWRmiORSPKxEeKeouwlFK1Wi4uLCzk5OWXG6wbyuuV1S6xFWf0uyuJ1l8VrhrJ73SWRsvpdyOuW1y1Rn7L6Pcjrltf9qFNqXLr29vZMnz79vlsJH2XkdcvrlliHsvpdlMXrLovXDGX3uksiZfW7kNctr1uiPmX1e5DXLa/7UafU7NiRSCQSiUQikUgkEolEIpHcTanZsSORSCQSiUQikUgkEolEIrkb6diRSCQSiUQikUgkEolEIimlSMeORCKRSCQSiUQikUgkEkkppdRkE1q5ciUnT54kOzubMWPG0LVrV2t3SXFCQ0N55ZVX6NevH++99561u6MaN27cYPr06bRo0YJLly4xatQo+vXrZ+1uKU5OTg5jx46lQ4cOXLlyhU6dOvHss89au1tlkrKoN1A2NUfqjdSbkkBZ1BypN2VHb0BqTklC6k3Z0Bsou5pTVvWmVCRPzsjIICgoiJCQELRaLYGBgZw/fx5b20d7w9GKFSu4ePEibm5uZUqETp06RWpqKn369CExMZHAwEAiIiKs3S3F0Wg0rFy5kokTJ5KTk0PVqlVJSUmxdrfKHGVVb6Bsao7UG6k31qasao7Um7KjNyA1p6Qg9abs6A2UXc0pq3pTKp7iEydO4O/vj42NDS4uLri5uXHjxg1rd0txRo8ejZ2dnbW7oTqBgYH06dMHAJPJhJubm5V7pA5ubm5MnDgRgIiICOrXr2/lHpVNyqreQNnUHKk3Um+sTVnVHKk3ZUdvQGpOSUHqTdmirGpOWdWbUuHYSUpKwt3d/c7/PTw8SEpKsmKPJGoxe/ZsZs6cae1uqMq8efOYNGkSP/zwg7W7UiaRelN2kXojsQZSc8omZVFvQGqOtZF6U3Ypi5pT1vSmVDh2ypcvT1ZW1p3/Z2ZmUr58eSv2SKIGS5YsoUqVKgwePNjaXVGV5557jh07dvDcc88RHx9v7e6UOaTelE2k3ki9sRZSc8oeZVVvQGqOtZF6UzYpq5pT1vSmVDh22rVrx5UrVxBCkJOTg0ajoW7dutbulkRBVq5cSWpqKi+//DI7duwgJyfH2l1SnEuXLnHq1CkAXF1dcXd3JyEhwcq9KntIvSl7SL2RemNNpOaULcqi3oDUnJKC1JuyR1nUnLKqN6UieTLk3ZTHjh0jOzubcePG0a1bN2t3SXHWrFnDL7/8goODAy+//DJDhw61dpdUITg4mF69etGiRQsAbt26xenTp/H29rZqv5QmP3N9kyZNiIuLw9XVlS+//NLa3SqTlEW9gbKpOVJvpN6UBMqi5ki9KTt6A1JzShJSb8qG3kDZ1ZyyqjelxrEjkUgkEolEIpFIJBKJRCK5m1IRiiWRSCQSiUQikUgkEolEIvkv0rEjkUgkEolEIpFIJBKJRFJKkY4diUQikUgkEolEIpFIJJJSinTsSCQSiUQikUgkEolEIpGUUqRjRyKRSCQSiUQikUgkEomklCIdOxKJRCKRSCQSiUQikUgkpRTp2JFIJBKJRCKRSCQSiUQiKaVIx45EIpFIJBKJRCKRSCQSSSlFOnYkZiGEYMWKFdbuhkQiKQNIvZFIJGoiNUcikaiF1BuJUkjHjsQsQkNDsbGxYf369WRlZVm7OxKJ5BFG6o1EIlETqTkSiUQtpN5IlMJGCCGs3QlJyWbbtm3UqVMHf39/a3dFIpE84ki9kUgkaiI1RyKRqIXUG4mSyB07kkK5evUqiYmJUoAkEoniSL2RSCRqIjVHIpGohdQbidJIx46kUH777TfGjh1r7W5IJJIygNQbiUSiJlJzJBKJWki9kSiNdOxICiQmJgaj0YiDg4O1uyKRSB5xpN5IJBI1kZojkUjUQuqNRA2kY0dSICdOnKB27drW7oZEIikDSL2RSCRqIjVHIpGohdQbiRpIx46kQIQQhIWFWbsbEomkDCD1RiKRqInUHIlEohZSbyRqIKtiSQokPT2dhg0bMnLkSJ5//nmaNWtm7S5JJJJHFKk3EolETaTmSCQStZB6I1EDuWNHUiBeXl4cO3YMo9FIr169GDhwIEaj0drdkkgkjyBSbyQSiZpIzZFIJGoh9UaiBnLHjsQsdDodXbt2ZevWrfj6+lq7OxKJ5BFG6o1EIlETqTkSiUQtpN5IlMLe2h2QlHyOHDlCTEwMw4cPlwIkkUgUReqNRCJRE6k5EolELaTeSJRE7tiRSCQSiUQikUgkEolEIimlyBw7EolEIpFIJBKJRCKRSCSlFOnYkUgkEolEIpFIJBKJRCIppUjHjkQikUgkEolEIpFIJBJJKUU6diQSiUQikUgkEolEIpFISinSsSORSCQSiUQikUgkEolEUkqRjh2JRCKRSCQSiUQikUgkklKKdOxIJBKJRCKRSCQSiUQikZRSpGNHIpFIJBKJRCKRSCQSiaSUIh07EolEIpFIJBKJRCKRSCSlFOnYkUgkEolEIpFIJBKJRCIppUjHjkQikUgkEolEIpFIJBJJKUU6diQSiUQikUgkEolEIpFISinSsSORSCQSiUQikUgkEolEUkp5ZBw7u3bt4vPPP8dkMilqZ8OGDQwYMIA+ffoQGBhI165dOX78+EOdP2PGDFq0aEFQUNCd15tvvnnnuE6n4/3336dDhw4EBgbSq1cvrly5cud4cnIyTz75JK1bt6Zr16506dKFY8eO3TkuhGDBggX07NmTnj170qpVK1588UXS0tIe+HMobpujR4+mVq1aRbb72muv8dprrz1wv7Zv306LFi2wsbF54DaUpqjvW1LyUUtvAFJSUnjyySeLfU8X9MwVpUlF6Yk5dix9j5ujNw+ic2VBbwCCg4Pp168fnTt3pnnz5vTu3ZukpCRrd0tSDNTQnAcdKxR1f5kzDjLnHi3sHKV+V4vS36LGZ/dSFjSnuL8hkpJHSR7jFHa+ORpmzv1ZnHvY3PnNw14bQMOGDe/SuKCgICpWrMj06dMLbPNhNKc06E1xNfiRRzxCdOzYUaxbt05RG3379hVr1qy58/93331X+Pr6CqPR+MDnT58+Xezbt69Am6+99pro0KGD0Gq1QgghZsyYIWrWrCk0Go0QQojx48eLTp06Cb1eL4QQYvbs2cLHx0dkZGQIIYTIzMwUbm5u4sqVK0IIIbKzs0WHDh3EyJEjH+ATEMVuc/fu3cLb21vUrFmzyHY1Gs2d63pQ9u3bJ0ryrV3U9y0pHaihNxcuXBBBQUHi5ZdfLtY9XdgzV5QmFaUn5tix9D1ujt48iM6VBb25dOmSqF27tggLCxNCCGE0GsXo0aPFrVu3rNwzSXFRWnMe5Bky5/4qSnPMaaOoc5T4XTVHf4san91LWdCc4vyGSEouJXGMU9T55miYOfenufdwceY3D3ttQggxcODAu/5vNBpFzZo171zv/XhYzSnpelNcDX7UKbnf1AMwd+5cMXz4cEVtBAcH3+WU2bRpkwBEamrqA59f2IDEaDQKFxcXMW/evDvvpaamCkAsXrxYCCFE48aNxTvvvHPneGhoqADEqVOnhBBCaLVa8e23397V7s8//yxcXFyEyWQy67rvxdw29Xq9CAwMFF988YVFhM8cSroIScfOo4EaehMbGyu0Wq2YP3++2fd0Uc9cUZpUlJ6YY8fS97g5eqOEzplDSdebUaNGiQ8++MDa3ZBYAKU150GeIXPur6I0x5w2ijpHid/VovTXnPGZEpR0zTH3N0RSsimJY5yizjdHw8y5P805x9LzmwcZ723dulV07979oW0XRknWG2tpcEnmkQnFAhg5ciS7d+9+qBCjomjdujW2tnkfW0ZGBnPnzuWJJ57A29v7oc7/66+/CAoKolOnTrz66qt3thcnJSWRk5ODn5/fnXO9vb1xdnbm5MmTAAwfPpzt27eTnp4OwPLly/Hz88Pf3x8AJycn3nrrrbvsZWdnU6FChTvb6+Lj4xkzZgydO3emc+fOTJ48mZycnAI/B3PaBJg1axaPP/44VapUKbCtfObMmUOtWrUICgoC4M8//6Rhw4bUqlWL2bNn07t3b+rUqcM///xz199du3aNoKAgAgMDGTJkCGfPnv1P2wVd38SJE3FycqJmzZqEhITw008/4ePjQ6dOnUhJSSmyzw9KQd+3pPSght5UqlQJJyenYv1NUc9cUZpUlJ6Ya6eoe7w4mmOO3pirSfncqzdgnuY8jN4AqmqOEILt27fj7u7O6NGj6dSpE0OHDuXMmTMWtSNRB6U1p7jPkLn3V2GaY04b5tqxpOZA0fprzvjs35QFzQHzf0MkJZuSOMYp6nxzNMyc+9Occ4oaA1lab+7H3LlzeeGFFwo8/iDzqtKkN8XV4DKBdf1Kluexxx4Tf/zxx3/ej42NFe+++26hr23btpltZ9SoUcLd3V2MGjVKZGZmPtT58+fPF3/++acwGAxCr9eLiRMnioCAAKHT6YTJZBIuLi5i9uzZd85PTk4WgJgwYcKd915//XXh5eUl6tWrJ5o1ayYuXbpUYF9MJpNo06aN+OWXX4QQeR7Pdu3aiZdfflkIIYTBYBBDhgwRr732mtmfx71tCiFEVFSUCAwMFHq9XsyfP98sj/b06dNFt27d7vx//vz5wsHBQWzfvl0IIcTSpUuFp6enMBgMQgghcnNzRYMGDcTbb7995/9Dhw69y7tc1PXNmjVLVK5cWcTHx4sjR46I5557rtA+fvXVV6Jbt24FvqZMmVLo3xf2fUtKF2rpjbkrOMV55grTpKL0pCg7Rd3jD6s599ObBznnXr3J73tBmmMJvRGieJrzMHqTkJAgAOHr63vnO5w/f75wdXWVoVilFLU0R4iin6Hi3l/30xxz2jDnHCU1pyD9NXd89m8edc3JpzhjUknJpaSNcYp7fkEaZs79Wdg5RY2BlNCbe4mNjRWVK1cucu5QnHmVNfRGiAfXnAfR4EedR8qxYzAYxFNPPSW6dOmiij29Xi+mTp0qGjVqJLKysix2fv5NuXr1aiFEnrgEBASIxMREYTKZxJQpU4SDg4N49tlnhRBCTJkyRQQGBork5GQhhBCLFi0SLVq0ECkpKfdtf9asWWL48OF3tiWeOHFCAOLy5ct3zlm9enWxQhjubVMIIUaPHi12794thBAP5djx8vK68/+wsDABiJiYGCGEEIcPHxaAuHbt2p1zVq5ceZcIFXV9JpNJDBw4UPTo0UP07t3brO/Sktz7fUtKB2rqjbk/9MV95u6nSeboSXHt3HuPP6zm3E9vHuScgiZZBWmOJfRGCKGa5ty+fVsA4umnn77r/WrVqolPPvlEEZsS5VB7jFPUM/Qg99e9mmNOGw9ix5KaU5j+FjU+u5dHXXOEKP6YVFIyKYljnOKefz8NM+f+LOqcosZASunNv/nyyy/vOGAKozjzqtKoN8XV4Ecde4tvAbISBoOBqVOn8vbbb9OlSxciIiIslqW8IBwcHPj666+ZM2cOK1as4JlnnrHI+eXKlcPLy4ubN28C8M0331CuXDmGDh2Kvb09I0aMwN/fn7p165Kdnc3s2bNZuHAh5cqVA2DChAlMnz6dOXPm8NFHH93V9qpVq9i1axdr1qy5sy0xIiICgOeff/7OdmmtVkuFChVITEzk9OnTzJw5804b+/fvL7LNPXv2YDKZ6NmzpxmfZOH8O2zN2dkZyMuCDhAVFQVAhQoV7pxTvnz5u/6+qOurUKEC8+bNo0aNGrz11lu4ubk9dJ+Lw73ft6TkYw29KYoHeebu1aQxY8YUqScPYufee/xhNOd+enMv5pxTGAVpjqX0xsbGRhXN8fHxwcbGhsqVK9/1frVq1YiMjFTEpkQZ1NYcc56hB7m/7tWc0aNHF9nGg9ixpOYURmHjs+LwqGhOccekkpJJSRzjFJf7aZg592dR53Ts2LHIMZBSepOPEIK///6bbdu2Fevv8nlU9AYsp8GPCo+EYyc3N5ennnqKl19+mcaNGzNixAiWLFnChx9+eOecuLg4fvzxx0LbCQoKol+/foWe89VXX/H+++/f+b+DgwOOjo5kZWU98Plvvvkm33///Z3/azQaMjIyqF69OgD29vZMmzaNadOmAZCVlcUHH3zAgAEDMBgMmEwmHBwc7rLr6Oj4n1jGlStXsnDhQtasWYOzszPXrl2jRo0ad8R6+fLld8WKJiQkUKFCBfr161fg51JQm9u3byciIuJOXGdcXBxxcXEEBQXRunXru673Ycj/jBISEvD09AT4T1x9UdcH8Ntvv/HGG28wa9YsHnvsMQIDAwu0OXPmTLZv317g8RYtWhR6rxX1fecTGhrKK6+8Qr9+/XjvvfcKbM9oNPLNN9/g7OzMqVOn6NOnD08//XSB50seDjX1pjiY+8wVpknm6Ik5doq6xx9UcwrSm3/HpZtzzoNiKb0B8zXnYfTGzc2NRo0aERcXd9f7iYmJ/9EbkJpTUlFbc8x9hsy9vwrTHHPaMOccpTSnKAobn1mC0qY5xRmTSr0pmZTUMU5xKEjDzLk/izrHnDGQUnqTz969e6lZsyb16tV74DbuhzX0Bh5Oc8zV4DKjN9beMvSw6HQ6MWTIELFkyZI77+3fv180bNhQEXsuLi7iwoULd/7/559/CicnpzslOL/77jsxZswYs88XQohatWrdFYv64YcfimrVqt0pqzdt2jSxdevWO8fffPNNMX78+Dv/79q1q+jfv/+dsnwHDhwQtra2d+InhRBi+fLlomvXriIhIUFkZmaKzMxMMX78eBEeHi6MRqNo27at+Oijj+6cv3fvXtGuXbtCP4vC2ryXhwnF+vffhYeHC+CODYPBIAICAsQbb7whhMiLBx04cOB/4kELu779+/ffiQ395JNPRJ06dUR6enqRfX1Qivq+81m+fLmYNm2a+Oqrrwptb+7cueKff/4RQgiRk5Nz1xZKiWVRW2/yKWhr7r16c+/f3O+ZK0qTzNGTouwUdY8/iOaYozfF0SQhCg6LKEhzLKE3QqirOfPmzRPlypUTUVFRQgghduzYIVxdXe/7mUjNKXmorTlFPUP3ao4591dRmmNOG0Wdo4Tm5FNYaERR47N7KQuaY+5viNSbkkdpGeMU9kwWpWHm3J/FGQcVlGNHCb3JZ/To0WLlypVFtiVE8eZVpVFvzNXgsqI3pd6xc/nyZfHnn3/e9Z7JZBKTJ08ucDD/MPz444+iQ4cOIigoSHTo0EF06dLlTpylEEJMnjxZtGjRwuzzhRBi8eLFdxJEtWvXTgwePPiu2MV58+aJgIAA0blzZ9G2bVvx7rvvCq1We+d4dHS0mDBhgmjVqpXo3LmzaNWqlViwYMGd47GxscLOzk4A/3nlf0ZxcXFi7NixokOHDqJ79+5i6NChhSbXNKfNfAYOHCj8/f2Fk5OT6Natm1i1atV925w9e7aoWbOm8PLyEiNHjhTLly+/83ejR48WsbGxol27dgIQ7dq1u/MZXbt2TXTr1k20atVK9OnTR3z22WcCEN26dRORkZGFXt97770nfH19Ra9evYQQQjz55JMCEP7+/sVONGkuRX3f/2b69Ol3idCbb74pPv30U/Hiiy+KEydOCCGE6NWrl/j222/FrFmzxGeffSY0Go0i/ZaorzfZ2dmiW7duwt/f/849/d577905fq/e5FPYM1eUJhWlJ+bYMeceL47mmKM3xdEkIf6rN0IIszTnYfRGCGEVzfn2229Fo0aNROfOnUVQUJA4evRogedKzSlZqKk55jxD99Ocou4vc8ZB5tyjhZ1jac0Romj9FaLo8dm/KSuaU5zfEKk3JYuSPsYp6nxzNMyc+9Pce7iwsZYSeiOEEImJiaJ69ep3nE6F8SDzqtKmN8XR4LKgNzZCCGGZvT8SicTSzJgxA2dnZ9577z22bNnC8uXLWbRoEQkJCQwePJgTJ04QEBDAk08+yfvvv88///xDcHAwP//8s7W7LpFISiFScyQSiVpIvZFIJGpRFvTmkcixI5GUBUJDQ4mPj7+TcK1ixYoAeHh40Lp1awDatWvHTz/9ZLU+SiSSRwepORKJRC2k3kgkErV4VPVGOnYkklJC48aNCQ8Pv5P0a/ny5QB06dLlTmWQqKgoiydTk0gkZROpORKJRC2k3kgkErV4VPVGOnYkkhLKmjVrOHjwIA4ODgQEBDB06FAOHTrEjBkz0Ov1dzLMf/DBB7z55pskJiZy7do1vv76ayv3XCKRlEak5kgkErWQeiORSNSirOiNzLEjkUgkEolEIpFIJBKJRFJKsbV2ByQSiUQikUgkEolEIpFIJA+GdOxIJBKJRCKRSCQSiUQikZRSrJZj5+zZs6xevRonJyd27drFwYMHCz1fCIFOp8PJyQkbGxuVeimRlHyEEOzYsYPAwEB8fX2t3Z0SSXH1BqTmSCQFcf78eWxsbGjatKm1u1IikXojkViOpKQkQkJC6Nu3r7W7UmKRcyqJxDIIIdi8eTNBQUF4eHhYuzvFR1iB3Nxc0atXL2EymYQQQpw/f77Iv8nJyRGAyMnJUaRPxrQPhDHlZUXavpccfbg4EdFAaHRhqtgTQohjCQvEsnB1ri+fG5k3xTMnJ4mo7GhV7S4LPyyG7v9GGExGVewZTSbRfOUPYv3Ni6rYu5fPPvtMODo6itatW4v09HSr9KEk8yB6I4SymmPK2S2MsU2FyZRr8bbvx7noPiI67TdVbAkhRHzOVTH7cn+RqotSzWauMVe8fuYtsTVmu2o2hRAiSpMsOm6fJi6m3lLN5pTDG8SUw+tVs/dvjh49Kry8vISXl5c4fvy4VfpQkimRemMy5ulNzg6Lt30/bqV+Jy7GDlfFlhBCmEwmMf/6E+J08mrVbAohxKKIJeKTi5+ralMIIcYd/ln8eW23avY2R1wSzVb+IHQGg2o280lNTRUtW7YUjo6O4ssvv1TdfmmgRM6pUt8UxtQ3FGn7XvSGFHEiooFIyz6iij0h8uZUS8NfUs2eEEKcTT0nnjv1okjVpapq9/tLm8RLJ+aqZi8hO0s0WPq1CE64rZrNfEwmk5g6dapwdHQU3bp1E9nZ2ar34WGxSijWiRMnsLW15aeffmLGjBkkJSX95xyDwYBWq73rpShCBxiUtfE/MnUhADg71FbFHkCk5hTlneqoZg9gU+wWqrtWo4pzZdVsCiHYGB1CG9+62Nmoc3tHa9JJ12up5u6lir1/89NPP/HLL79w/vx56tSpw6BBg8jOzla9HyUZc/QG1NYcA6AFlF8pMxjTycm9irODes9/pOYUjraueDmo9+wfTz5Bqj6NNuVaq2YTYHN0CB4OLvh7VlHN5uW0BCq5eqpmL5+zZ88yaNAg5syZw08//cSAAQM4f/686v0oyZRMvTGRpzfq1MrI1AbjbK+e3qTlRpOeG0MF5/qq2UzPTWd/wkHa+7ZVzSbA1YwYrmXGEuhbVzWbl9MSKO/siqOdnWo2ATQaDQMHDsTf359z587dGe9I7qZEzqkwgshR2EYeaTl7AYGbk3o7SG9mHaOicwPV7Akh2BC9iQCPhng7eqtm1yRM7Im7SHOfmqrZvJASi95kpI5nOdVs5vPJJ5+wYcMGLl++jLOzMyNHjkSv16vej4fBKo6dqKgogoODef755/nwww95/fXXiY6Ovuuczz//HBcXlzsvHx8fFXqmznbELF0Ibk5NsLVxUsVejiGdOO0VaroFqmIPIFJzi9OpZxhUeaCq2zxD06O4nhnHoKqtVLMZlpoAQANvP9VsAvz999989tln7Nq1C39/fxYvXoy7uzvDhw9Hp9OZ3c6NGzeYMGEC3333Hc888wzbt2+/73nh4eF4enpy/PhxS12CKpijN6C25uRPsJR/NrL0ZwDwcFLvmYjMCqaGW2tsVHKuGkwGNsVuoYNve/ycyqtiEyDXZGBz9Gn6V2mBva06kx690ciN9GQaqqw3V65coW/fvnz++edMmDCBp556ik8++YQ+ffpw9erVYrX1KGtOydYb5TEJPRr9WTyc1HOwRmblOZIruTRSzeaWmG242LnQza+rajYB1t0+RTXXcjT3Vm+iFZaaQEPvCqrZA9BqtQwbNgxfX1/++ecfGjZsyM6dO/n4449ZuHBhsdp6lPUGSuqcyh61FstTc3bj6dwee1t1wmYycxNI1F2ntnsHVewBnE+/yA3NTYZUGaiaTYDglJsk6jLoWUk9p9mF5Fiqu3vj4+Sqmk2A77//nrlz57J7925q167N2rVryczMZMKECRiNRrPbsbbeWMWx4+Hhgb+/P25ubnfqyZ8+ffquc6ZNm0ZOTs6dV2pqqrKdEnrAUVkb/yNTdxp3FSdZN7OOYWdjTw03dQZaJmFiQcQ/1HWrQyufFqrYhDyP9s9XttHEq7qqg54LKbHU8vDBw0EdRx3AqlWrePPNN9m2bRtNmjQBwNHRkTVr1qDVahk/fjwGg3k/qikpKTz55JO89dZbfP3117z44ov/OcdkMvHNN9/QuHFji16HGpijN6Cy5ggd4KCK4yNTF4KTfS0c7NRxeGQb0ojJuUgdFQc9W2K3kaJPZVjVIarZBFgZeYxUvYbHa6h3rZfTEjAIE03KVVLNZkREBL169eLNN9/kpZdeuvP+q6++ypQpU+jVqxe3bt0yu71HWXNKpt7krzgqP8bJ1l/CJLR4OKu3kHQ98xC13NphZ6NO2shITSS74vcwrOoQnOzU+92PzEpkfdQpxtfqouqC2cWUOFX1xmAwMHbsWEwmEytXrsTBwQGAZs2asXXrVqZMmcKaNWvMbu9R1hsooXMqjIDyix1CGMjIOYK3S3fFbeVzPfMQjrauVHdtqYo9nVHHosjFtPZpRT2PeqrYBDAKE7OvbCfQty513SuqZvd8ShxNVdQbgLlz5zJz5kx27dpFnTp5u01dXV3ZtGkTN2/eZNKkSZhMJrPasrbeWMWxExgYSEJCAkLkrSJFR0dTt+7d20rt7e1xdna+66UsOWCjtA0wmDLIyb2q6mrW9cxD1HBtjZOdmyr29iTsIzL7FhNrP4WtSiv2ALvjLnA2NYI3AwapOug5nxxLc1/1Qk727NnDc889y/o1v9CmhTci99qdl7N9FBvWzOJW5FUmTZr0n62393P2BAYG0qdPHyBPbNzc/nufzJo1ixdeeAEnJ/UGsZbCHL0BlTVHqKM3AFm606ru1rmZdQRbG3tqubdTxV5cThybYjYzrMpgKjirt4slRZfFvBt7GV+rM1Vc1dhRmsf55Fjc7B2p46lOovTk5GR69erBkxMG8/brj92lNyL3Gu+9NZKxo/vRq2c3EhMTy7zmlEy9+V/YhY3yK6CZuhDsbb1xtlcn1FxjSCY65wL1PdXZOWMURv4KX0hd9zp0r9BNFZv5zLq8hdpuFRharY1qNuOzM4nPyaKZimOcSZMmERcbxfrV3+Nkd/suvWnbqhxrV83mmWeeZvfu3WVeb6CEzqmEDlSISsjSncMoMvFyUW/n3NWM/dRx74i9rTqbAdZGr0dj0PBEzXGq2Mtn3e2TXM+MU31OFaqyI3nt2rW8887bbNv8JwH1He7SG0/XBLZt+oXjxw7yzjvvlAq9sUpVLD8/Pz7++GMmT56Mu7s7Q4cOpVEj9bbQ3heTBuyrKm5Gow8FBO6OLRS3BZChj+N29ml6VJyqir0ITSSrbq+hX6W+VHetpopNgFR9Fj9e3kr/Ki1p7F1dNbtGk4lzybFMbtpJNZurVq3itRc60KXRDETyf497AIt/1tO46yLmz59/17Hp06czY8aMAtuePXs2M2fOvOu9s2fPAtCiRYuH67iVKJF6I7LBxkV5M0Kg0V2gnE8/xW3l2TMRmraNWm6BONoqf31ao5bfb86lonMl+lbqo7i9fIQQfBe2CVc7J56qo+7k7nRSNE3KVcJWpYHWyZMncXPR8enkXYjk3fc958s3BFs2xfDGG2+wePHiu46VNc0pmXqjyftXBWeyRnceN8cWqoVhXkzbhoOtM7Xc1Ml1s/r2WqJyovisyQxVF652xJzjaNJVfgl8VrWwT8jTGxugiY96K/aLFy8mLOR93HSj8ja33kNQU3jlaQfef/99goOD7zpW1vQGSqrmZIOt8pPzTN1JHOwqqpbTK0l7kzhtGG3Lj1fF3rm0C+yI28VTtZ7Ax1G9BaTbmmR+vbqTMTU7UkfF3Tpx/3Mkq+nYWb58OR+9051WNd+975zK1wb++l5Hn9F/8v333991rCTqjdXKnT/55JM8+eST1jL/X4wx2DgpP0DXG2KwwREHO3UelIMJv+FhX4EGnspvU4zXJvD9lR+p616H4VWHKm4vH5MwMeP8auxsbHmjobrxp2eTY0jXa+lcSb1E2ACuXm2x8Z1T4HE3XTz29r3JzMy86317+4If+SVLllClShUGDx581/tbtmwBYObMmdy6dYtFixaRm5tLly5dHuIK1KWk6Y0wRoOd8iugRpGFUWTiZK+OszMsYzdx2iuMrfWr4rYMJgNzrv9Gki6JaQHvY2+r3s/Z2tsn2RN3kZ/aPI2rvXorvCYhOBh7k4n+6oW5ALi4Vsa2/LICj9sALu7DGTduHHPnzr3rWFnUnJKmNxj/l2/DTvkE33pjHC4O6iQVzciNJzh5GYG+Y7G3Vf453BG3i61x23m+9jNUdVEvWXpkViJfha7j8RrtVU2aDLA/5ibNfCvj5aS8o/7fuPmOwcZ3QoHHXX1/o3XrbA4dOnTX+2VRb6Akak4kNo7KO1sNpgwc7PxU2VEihOBgwu9UcKqviiM5XBPBL9d/o6NvB4JUzOWlMeh4+8wiqrmW44X6vVWzC3A0LgJ7G1talVd+o8W/cfXujI3vNwUed6t0FQ+PSSQkJNz1fknUG6s5dkoSQujBFAv2NRS3lWtMxMGuvCoiFJF1khtZRxhW7SvFtwxm5Gbw/ZVZ+Dh6M7n+K6pOsv65eZCTydf5o+0kvBzVTba1O+oaNdy9qe+lXsJWABtbV2wcCq4AYuOQt/XP3O22K1euJDU1lVdffZUdO3bQtWtXEhMTqVGjBh9++OGd87Zv384TTzxB+/btH+4CyjrGW2CnfB6oXGPej5CDnfIhSjpjFocT/qSp9yDFq9OYhIn5EQu5knmV9xq+TSUX9VZ3rmTEMOvyFibWDaJ9efWq8ACcS44hWZtNz6rqxdkDYGNfqN7kneOMnZ2d1JySiPFWXhiWrfK/U7nGRDydOypuRwjBoYTfcbP3pVW5UYrbO558gqW3ljOq2gg6+6m3Q1dr1PP+2WXUdPNjSsMBqtmFPEfy3ujrPNlA3UqDADZ25bBxKHgB1MbOF1tbrdSbEogwZYMxCuyVd0KaRA52KoW1h2tOcDv7NCNrzFJ8R2KiLpFZV3+inntdnqn9lGqhUEIIPruwmhRdFgs7voKznYMqdvM5HBdBa79quDmoE+aWj42texFzqrytg6VBb6ySY6fEYbwNCLBTw7GTpEoS05jsULbFfEF9j67UdFd2dfdW9m0+Cf0CE4I3GkzFxU69lZ1dsef57douXm3Qj2Y+yn9//ybXZGRjxCX6VG+gavyppQkODmbSpEmsXr2aoKAgXnrpJVJTU+nWrdtdmeD//PNPIiMjWbBgQbGr4EjuwXAL7JTfRZNrzNtX6qDwhE5rzGDd7fewwYaOfhMVtZVjzGH2tV84lnyCV+u9RF139coqx2Sn8kbIPzT1rsHz9XqqZjeftTcvUMvDB3+VK2JZGqk56iKMeXqjxu9UrikZBztl8z8JITic+CfXMw8TVPFVRReuhBBsj93B7zfm0qdiLwZU7q+YrXsxmIx8eHY5Cbp0vmwxFkcVF8wADsWGk6TV0Le6emWdlUDqjcoYr+f9a6/8AoQQemxslHcCxOWEsTNmJg08ulPVVdkKUTeybvLZpa/wcvDitfovq7ZQLoTgx8tbOZAQxhctxlLZRb3QL4Bsg5490dcJqqLurkRLY229kTt2AAyRef+qsIJuNGVib+ulqI3o7AtsiPqAaq4t6FP5PUVthaSe5o8b86jpVoPX6r2Mp4Onovb+zfGka0w/v4rHa7RnXC31VtDy2XbrMnE5mTxRX73EtErQpk0b0tLS/vN+eHj4Xf+fNGkSkyZNUqlXjy5CGMB4Gxv7WorbMpoyALC381bMhtaYwdpb75BjTGdkjR9wtlNOAxJ1ifx4dTbpuRm82/At/D3Um3Ak6zJ5LfhvvBxd+ableOxUzK8BkKrLZvXNC7zTIqhUO5JBao7qGCLArpbiZoQQGE1Z2ClYdjgvHOI3zqWup2/l96jlrlxIRK4plwURiziSdJTHq49gQKV+qj17JmHis4trOZl8g18Cn6GqazlV7P6beWEn6FixJg1KuSNZ6o3K5F4BnFWZU9nYOCBErqI24nIus+72u1RxaULvym8pautE8inm3vwLf48GvFLvRVUXyv+6sZflkUf5pNnjqod8Aqy6cR6d0cCous1Ut21JrK030rEDYAwHWz9sbN0VN2UwpWNnq9zEJyLrJFujP6W6WysGVP0IOxtlttEZTAY2xmxmQ8wmuvl15cma41UNvzqZfJ23Ty+md+WmvBEwUPWJjhCCeWEn6Vvdnxoe6nq1JaUcYwxgUGWiZTClY4MjtgpVp8jIjWdz1MfkGDMYUeN7vB2VyztxPu0Cf9ycRzlHH2Y0nkZ5J/XCH5N1mbx66m8Egp9bP42Hg7r5JgAWXT2No509o+o2V922pJRjjACnHoqbMYlswISdjTKOHYNJz8GE37iYtoV+Vd5XNHdgki6J327MJSo7iqn1X6OFj3rPnVGYmBm6nl2x5/mu1QSa+Sg/Qb6XsNQEDsdFMD9I+TA3yaOFMFwGh/rY2Cif5NsGB0xCr1j70dnn2RT1MZVdGjGw6gzFdgf+e07Vq0IPxtUcg50Knx/kzWf+vrmPP6/v4b1GQ+lXpYUqdv+NwWRi/uVTjKjdlHLO6qbUeNSQjh1AmFJUiT03mnLI1J2kosfTFm9ba8zkYMLvhKXvwN+zJ70rv6WYUyc8K4K/IxYQmxPLEzXH07NCd1UdK5uiQvgydB09KzbhoyYjVK1Mkc+WW5e5kBLH523VqTYkeYQw/S/tvgp5b9JzDuHiaPldLUKYOJ+2iSOJ83C392Nkje/xUsipk5WbxdJbKziSfJT25drxTO2ncLJTL2Hxjcw43gj5BztbW34NfI7yzurtSswnSathXthJnvZvo3rsueQRwJSMja0KeqPNS2Tr4mD51d7YnEvsjv2OzNwE+lf5kPqeyhS7MAkTexL2sfr2Gnwcffio0QdUc1UvkafGoGPaueWcSr7BVy3G0tHPXzXb+QghmHlmL418KtKtinqhrpJHBGMi2Cr/zAghyNSdwsne8hV4dcYsjiTO40LaZmq7d2BAlWmKOXX+Pad6suZ4elZU3gmfj8Fk5LuwTay7fYp3Gg1heI12qtn+NwuuBBOTncFzAepUN3yUkY4dAASgvGc0SbMOo0lDRY+xFm03POsEu2O/BwQDq06nnocymfx1Rh1ro9ezI24XDTzq81mTT6isYtJSkzDx+7VdLLh5gKfrdOPF+r2t4tTRGnL56vRehtduQjNf5Ssb3Q+jSUO2vuCYzBx9vIq9kRQP0//+VVZzdIZYUrK3UNt3ZtEnF4MMfRw7Y78hJucibXzH0NZ3giIDHiEEx1NOsiRyGXY2trxW7xXalFM37PF40jXeP7uUeh6V+LblBLwd3VS1n88P5w7iYu/AC42sk9BTCEOhegNgElqVeiMpNsIEKqz+xmb8hbdLT5wdLLfDxGDSczxpASEpq6ju2pKh1b7E01GZcUdUdjTzIxYSromgf6W+DK06BEdb9ZKHxmvTeSPkH5J0Gfwa+JzqeQPz2Rdzg4Ox4SzrNd5qYZ+5xmSy9emFHE9SsTeS4pELNsrvas3QHkOjP0/NcjMs2m5E1kn2xP2AQejpW/l9/D17KPIcaI1a1katZ2f8bvw9GvB5k09ULQShMej48OwyQlJuMrPFWLpXaqKa7X8TlZXOD+cO8lLjDtT2VD/kFMBoyip8TpUboV5nHhLp2AEQRlDYQaA3JBCb8Qfl3YZZrEJNhj6O40kLCcvYhb9nT4IqvqJIfgshBKdSg1l5ezVZBg1P1XqCbn5dVHWqpOuz+SJ0LYcSLjOtyXCGVGujmu17+TPsBGn6HN5pEWS1PmTpznIhdkmBxxMTDCr2RlI88h07yj0/Qhi5nfYN9nY++LoNskibuSYt51I3cCp5CR72FRhT6xfFql/dzo5ixe1VXEi/SJBfN0ZVH4mbvXrbc03CxLKII8y5uoNelZryUdMRqicuzSc0JY7l18/yXYdBVtutk2tK4kJs30LPycmNUak3kuJjQulaGcmarWTpggmouMwi7QkhiNCc4EjiPDL0cfSsNJXGXgMUmWBpDNlsid3K9rid1HCtzozGH1HDVfnk9v8mJPkmH51fgYe9M3+3f8kqOXUAdEYDn4Xspn+NhrSvaB3HEkBi1hqic/8u8HhcZhq2WHaRVGIpjCitNwZjOrfTvsbDqR0eTi0t0maaPpoTSYu4nLGbBh5BdKv4Kq723hZp+9+YhIkTySdZHbWWbGM2T9d6gq4qz6kishL44NxyknWZ/Nb2eZp4q6t3+QghmH5qBxVd3Xm5sfLVFAsiQ3uCC7FzCjx+I1G5cD9LIx07kLeSJUxFn/eAaHMjCIsfj62NI1W9Jz90e1m5SZxMXkJo2jY8HPwYUOUjxbYlX8oIY+XtNYRrwung247R1R/Hx1HdnDKHEy7zReg6bIA5bZ6hta/1tgZHZKbwy8WjTG3WhYquyiWILAp3pxY0rfxDgcdjRTzQR70OSYpB/o+3sdCzHhST0HE9cTJpOfup5/fzQ+fXMZj0hKZv5WTSUvSmbFqWG05b3/HY21o+HCpRl8T66A0cSTpGdddqvN/wHRp6qhuKEJ2dwmcX1nAuLZJJ9XrxdJ1uVlu1NppMfHByO63KV2VYbeuspkFeVbWmlZcWeo6LwwiVeiMpPrZ5C1gKEZ+5lIiUafi5j8HD6eG38t/WnOFY0nxicy5R270Dg6p+qkj+Lr1Jz+74vWyO2QoIRld/nF4Ve6iW2wJAa8zl16s7WR55hK4VApjedKRVcnjl88el48RnZ7Goh3WdJn7uIyhXfnSBxyt5/EaCRqdijyTm4wgol9BYm3uLywlPYRI5+Fco2PlnLmn6aE4mLeFyxm68HCozoMrH1PfsaoGe3o0QgpDUM6yL3kB0TjQdfTswqvoIvB29LW6rIEzCxKrI48y5up3a7hWt6kQGWHnjPPtibrC013ic7KznkvB0bkfTyp8XeNw25SrwgnodegikYwfIEyFlvHE5uTcIix+Po10F/CssxMHuwZ0iOmMWwSkrOJOyBhc7T4IqvUojr37Y2Vj+awzXRLDq9hpCMy7RxLMxMxp/RG23Wha3UxhZBi0/Xt7Kxqhg+lZuzlsBg/FytF5SrTzP8k5qefhYPQ7UztYN10Jyp7g4Kp8IXPKA5JfmVCDhn0nouJb4EhnaUwRUXIyHc+ADtyWEiSsZ+ziWNB+NIZmm3oNp4zsWN3vLO3YzcjPYFLOFvQn78XH0YVKd52jv21bVFSwhBBuigvnx8hYquXjzd/uXCPBSL7fG/Vh6/QyhKXFs7v8MtlashGVjY1+o3gDY2jir1BtJsbFRbqIVlzGfyNRPqeo1lapekx/KCZqgvcbhhLnczj5NDdfWjK45h0ouDS3Y2zyMwsihxMOsj96Exqihd8VeDKzcDzd7dUMtQ9NuM+PCKpJ0mXzcZAQDq7ayasW7/IWr15t1pZq7stVbi8LBzhdXx4qFHC8PRKvXIYn52HqAUZl0ANn6MC4nPIWDXQUaVViJ40NEQGTmJnIyaRGh6dvxdKhM78pv4e/ZE1sLO3aFEJxPv8CaqPVEZkfSxqc1L9WdpGruLoD4nDQ+u7iWkJSbTKwTxDN1u2Nvq54T+15uZiTzWchung1oa9XdgQB2tu6Fz6kc5I6d0oXI4f/DIyzUpDCSkLWC22nf4Gxfm4YVF2L/gNWwNIYUzqWu53zqJgA6lH+a5j7DFMlrcTMrnE0xmzmddpa6bnV4r+HbBHhafmBVGEIIdsWd5+cr29EZc/mqxVh6Vmqqah/ux4ob5zgUG86K3hNwsKIYSko5d3KRCIs2m6kNISLlY3SG2wRU/Af3B9yebDDpuZKxl9Mpq0jR3yLAqw8dyj+Fh0MFi/YXIE2fzo64nexJ2IeznRNja4wmyK+rqhX2AK5nxvF92GZOp4QzvnZnXqjXCyc79XJr3I9bmal8fWY/zwW0o6GP5T97SdlACMP/nMiWHePojYncTv2KJM06qnu/SxWvFx+wf4KYnIuEpKwkPOsYFZ39GV79O6q7tbBofyGvfPmRpGNsid1Gsj6Zbn5dGFplsKor5pAXWj73+h7W3D5BS59azG7zDJVc1O3DvRhMJt4+toXanuV4NuDBFwQkEhD/GudYBpPQE5cxn+j02bg5NqFBhbnY2z7YrvkU3S1Op6zicsZuXOy86VnpdQK8+ljcoWMSJk6nnmVL7FZuasJp4d2cZ2s/RU03davc5ZoMrIw8zrwbe/B19GBeuxdobKXQq3x0RgOvHl5Pbc9yvNVcmYiTskqZd+wIkQM568HVcttOs3RnCU/5iGx9GJU8nqaa91TsHqCUeqo+itPJKwnL2IWjrSstyw2nuc8wnO0sGwIkhOBy5hU2xWwhNOMStVxrMqX+q7T0bqH66lFo2m1mXd7C+bRbDKrailca9MXXyXohT/ncyEjm0+DdTGrUnsAK1hVESelGZC8H+wZgZ5kVilxjMrdSvyJJswZP547U8/v5garS6IxZXEzbwpnUteQY0mjg2Z3+VadR3qm2Rfr5b5J0SWyN3cHBxEM42zkztMogelbsgbOdurs+UnRZ/HF9Nxtun8Lfswrz2r9AU2/rrhwB5JqMTD26kWruXrzeTJlk+JIygnYniHRw6mmR5oQwEpe5kKi0WdjbelLf7zfKuRa/OqRJGLmZdZSQ5BXEaS9T2aURg6p+Qh33jhYfd2iNWvYnHmRb7A4yDZl08u3AoCoDqeisrsPUYDKy5tYJ5t7Yg52NLe82GsqQaq2tUgTiXn4NPcr55FjW9XtKLlxJHhhhygLtDmzcXrZYm2k5B4hM+QSdIZoqXi9QxeuVBwoxj8m+SEjKCm5mHcPLoSpdK7xMI6++Fl8k15tyOZp0lG1xO4jTxtPSuwUfN/qQuu7qppEQQnAwIYyfr2wjLieNCbW7MLFuEM521q+s+XnIHm5nprF5wDNWDcF6FJGfZvYaEBpsXCc8dFNGUw4x6XOIyfgdD6e2NK28tcjt6/cjLieM4OQV3Mg6gpdDZbpWeOl/4mPZnBZCCM6ln2dTzFauZ13H36MBbzV4nSZejVV36MTnpPHrtZ1sizlLC59aLOzwitXDIPLRG428fmQj9bx8eaOZ5eNuJWUHYYgC7VZsvL566GdMCEFq9nbCUz7CxsaBeuXnUM61+MlFs3KTOJu6jgtpmxAImngNpGW54Yrs0InJiWVL7DaOJR/Hy8GL0dUfp6tfZ1XLlwPojLmsiDzG/Jv7cLVz4qOmI+hfpUWJmGABzL5whEupCWzs97Qc9EgeGCEEQjMPnHpjY1/rodvLyb3BzeR30OguUNnzeap4vYKdbfHCow0mPZczdhGSsoo0fRR13DvweI0fqeJq+RxSWblZ7E7Yy8643eSKXIL8utKvUl98ndTNKSGE4HDiFX6+spWY7FRG1+rIM3W64+5QMsIXzyRF8/OFw7zfsgeNfAoOf5JIiiRnNWAC11EP3VSuMZXbqV+RqFmFj0tf/CssxNmheAurQpgIzzpOcMoKYnNCqeTckIFVp1PHvaPFd+hoDNnsS9jPzvjdZBmy6Ojbnin1X6WKi+XzgxXFlYwYfry8lZCUm/Su1JSf20y0ai6df7P91hUWXzvN7E5Dqemhbs7WskCZHjGKnLWIzK/BdRQ2duUfuB2jSUNC5hJiMv7EJHKoVe5TKriPK9YEyygMXM88xNmUtcRpw6jg3IABVaZR16OzxcUn15TLseTjbIvbSUxODM28mvJhwHs08FCmwk1hxGvT+efmAdbfPoWfsydftRhLj4pNrBpn/m/0RiOTj6znRkYyG/tPxNHu0VzJCg0N5ZVXXqFfv3689957/zl+9uxZVq9ejZOTE7t27eLgwYNW6GXpRuReRaS9CnZVwHngg7cjBGk5e4hOn41Gf57ybiOpWe6jYod6xuVc5mzqOq5l7MfJzoPW5cbQzGewIjsCr2ReZVvcDs6mnaOiU0WervUEHX07qB5ypTPmsiEqmIU3D5CRm80TtbvyRO2uuNhbfwUrn6XXzjD74hE+DexDA2/LVFAsaUi9UR5hykJkfAiGS9h4zXiotnJyrxOdPodkzSZcHRrSpPIGXB0DitWGxpDM+dTNXEjbhM6YRUOvXgyu+gnlnCwflhCvTWBH3C4OJR3G3saeXhV70LtiLzwd1N39K4TgZPJ1/ry+hwtpt+hRsTGzWj9FNVdfVftRGFfTEnn+wGo6VarFxIaPbgiW1BzlEdlrEJnfg+tYbGwfPEdTrjGFuIy/iMtciK2N8wPtCswLKd9zJ6S8lls7RtaYRRUXy88v0vRp7Ijfxd74/QB0r9CNPpV6U07lQjMANzLjmHt9D3vjQ2nsVY157V6gmY+6oV+FcS45hjePbWJsvRYMqtXI2t1RDGvqTZl07AihR2R8BjkrwPVZbDzeeKB2TCYt8Zn/EJPxByaRQ0WPCVTyfL5Yybw0hlQupm3mQtpmsg2p1HZvz4ga31PVpZnFxScrN4u9ifvZHb+HLIOG9uXa8VLdSaqX9YS8HToLbh5gY1QwPo5uvB4wkCHV2litpPD90BkNvHJoHcfjbzG/+2jqepacwZiluXjxIl263D/kw2Aw8Pbbb7Nz505sbGwYNmyYup17BBA5GxEZH4F9ADbeP2JjU/z8LUII0rX7uZ32Pdn6ULxdetK40nrcnZqb3YbBpOd65kHOpq4nXnuZ8k516FFpKv6ePS2+HdkojASnhLAtbgfhmgjqudfjtXqv0MpH/Z0xWmMuG26f4p/wg6TnZjOsWiBP1emGn/OD5T1TikVXQ/j41E6mNu3MEw1aW7s7iiH1RlmE4Toi9RUwpWHj8xc2Ds0eqB1tbjhRabNIzt6Ms0Nd6pb/AV/XgdiYWbBBCEGcNoyzqeu4nnEQJzt3mngPpJn3ENwdHnwxrSCuZ91gW+wOQlJP4+tYjserDaeLX2dc7NStMpXv0Jl7fQ/n027Rzrc+f7V/sUSEef6bK2mJjN+9lNqe5fily2NWTdCuNFJzlEMIHSLjU8hZBW7PY+P++gO1YzBlEJv+B3GZC7C1caKq1ytU9HiiWKkscgzpnE/bxLnU9eiMWfh7dqd/1Y8UCSmP18azNXYHh5OO4GrnyuAqA+leIQg3e/WLvIRnJTDv+h52x12krntFvm4xjqCK6kdfFMaN9GSe2beSNn7VmNHm0a7aa029KTmzaJUQhhuI9A/BcAUb79nYOPctdhtGUw5JmjVEp/+C0ZRGRY+nqOz5PA525k/8E7TXOJOyhqsZ+3G0daGx9wCaeQ/G07FSsftTFLE5ceyI38WRpKPY29gRVKEbvSv2pJyj+tvyorNT+Cf8IJuiQvB1ci+RDh2AJK2Gt45uJiQxioU9RtPar5pV+iGEuK8w6005JOsiCvy7FF1eRQKt9u4Edvb29tjb//ezHj16NGFhYfdt68SJE9ja2vLTTz+RlpZGt24y0Zm5CFMGImsOZC8A16ew8Xin2E4dIQQZ2iNEp/9Mpu4U3i69qFP5a9wcG5vdRrYhlXOpG7mQtgmtMYO6Hp3pUmESVVyaWvyHP9uQzf7Eg+yO30OKPpXWPq2YUGMs9TzqWdSOOWgMOjZEnWJR+CGycnN4rHpbnqjdtcQ5dHJNRv68dILvzh3gjWZdea1pJ2t36S5MwlCo3gAYhB6j0WiW5ki9UQYhjKDd9j8ncj1syi3Axq5ysdvR5kYQm/EnCVkrcbavRb3yP1POtT82Zu4eNgoD1zIOcDZ1LfHaK/g51aNnpTdo4Nnd4g5kkzARknqa7XE7uZ51g1quNXmp7iTalGutatlyyNPqY0lX+fvGPs6n3aJ9+frMa/cizXxKlkMH4ET8LV4+tJa6nuX5u/vjuDuoGw6bT0FjnGxDGsm6nAL/LtuQislkkmMcKyNyryEyPgDDTWy8f8XGuVex2zAY04nPWkJsxh+ADVW9XvufQ8f8KnXp+hhCUlYRlr4TOxsHmnoPornPMEUcyJGaSDbFbCE49TTlncozvuZYOpfviKMCBW2K4mZWPPNv7Gdn7HlqufvxRYsx9KjYuMSElecTlprAs/tXUsPdh9+6Drda9IPBZMLe9r+fjd6YXegYJ02fV4GvNOhNyZpNK4jIvYTI+h10O8CuNjblVmLjULzQI70hnvjMf0jIWorRlI2f+yiqer2Go715uSiEEERqThGSsoqo7DP4OtWme6Up+Ht2x8HWsrHW94Y/+Dn58Xi1EXTx66T66hXkJUVeFH6I/fGhVHT24q2AQQyq1rrEOXR0RgMLrgQz58IR3B2cWNRzLC3Kqx8fCxASG83H+/awZdyT/zkWlxPG4vDnCvzb9AQdBoMBF5e7v+vp06czY8aMYvUjKiqK4OBg1q5di6OjI4GBgWzZsoWqVUtGDqSSiDClIDQLIHsxADaeM7FxHV6sNkxCR7JmI7EZf5GTewVPpw40qrQGD6dWZreRqrvN6dTVhKXvxMHGmaY+g2nqPUiR/DlJuiR2xu3mQOIhBIKufp3pXbGX6glKAZK0GayIPMba2yfQm4w8Vr0tT9buQvkS5tABOBBzg89D9hCZlcq0Vj15NqCtVfqRmK3hk/17mTNg8H+OZRtTC9UbgGRdOEuXLmXAgAF3vV9czZF6U3yEyAXtZkTWH2AMB5cR2HjOwMbG/ImGEIJM3QliM/4iLWcPjnZVqO37JX5uw83eoaM3ZnMxfStnU9aSZUj6nwP5RUXCH3RGHYeSjrA9bidJuiRaejfn/Ybv4O/RQPVV6lyTgZ2x51kcfogbWfEl2qETlZXOzDP72HIrjB5V6vJz52G4Oag/ITWYTMw7HczxqNssGDbiP8fD0nZwLXNjgX9/NjWchJBycoxjJYT+HELzB+h2g30DbHxXYmNfvKIN2txbxGXOJzFrJWBLJY8nqez1QrHCypN1kQQnL+NKxl48HCrQye85Gnn3w9HW8vOc8KwI1sds5GzaOWq4VreaAxngUnoUC27uZ3/8JWq5+fFZ81H0rNQUuxLm0Mk26Pnp/GH+unySFr5VmBf0OK5WCn3feu0qXx0+wKGJz//nWFT2ORaHbynwb2OjssjMzCwVelOyZtUKIHIvIrJ+Bt1+sG+IjfeP4NTH7JUnAI3+EnEZf5Gs2YSdrScVPZ6mosd4HMzMy5NfPvhMymqS9RHUcG3NsOozqeHa2uIDkPzVqy2x2wnXhFPPvS6v1nuJ1j6tVPfgmoSJI4lXWBx+iDOpETT0rMKnzUfRo2IT7EtY1QUhBDujrvLl6b3E52TxQqN2vNCovVUEKCc3l++PHWH+2RA6Vb9/bGwllwAm1H6mwDZineL5yj6IzMzMu96/n2e5KDw8PPD398fNLW/1JCAggNOnT8tBz30QxmSE5k/IWQ44YeP2HLhOwKYYA5VcYzLxmUuIz/wHoymdcm6DqOv7HW5O5iUXzSsffIHTKav+V/2hCl0qvEgjr74WdyADRGpusS1uOyeST+Hl4MWQqoMI8utmle3IN7PiWRJ+mO0xZ/FwcGZc7c6MqN4eb0f1+1IU19OT+OL0HvbH3KRPtQbMDRpJLQ/1d1EKIdh49TKfHtiLi8P9d5O52vkwofa8QttZ4DSUcePGMXfu3LveL67mSL0xHyFyIWdt3gTLGAvOg7DxmYONvfm740wilxTNFmIz/yJbfxF3p1b/S8Tex2yHTmZuIudS13MhbTMmYaSxdz9a+ozAy7H4u4WKtpXJ7vi97E7Yi86oo3P5jvSr1IdKLpbf7VwU+TsCl0YcIVmXSe9Kzfik2eM08LTOYlBhZBv0/B56nD/DTlDJxZ0/uo6gd7X6VgnVuJyUyDu7d3A1KYnJ7Trc95wA7760Kz+kwDYSfOaQ3DqLQ4cO3fW+HOMoi9CHILJmg/4o2DfBxvsXcOqJjZnzCyEEWbrTxGbOIzV7J452lajmPRU/99HFcujEa69yKmkpN7IOU86xBr0rv42/Zw+L5ySFux06td1qMbX+a7Twbq76syOE4ExqOPNvHOBE8jUaelbh6xbj6FaxUYnboQOwJ+oa04N3kaHXMr1Nb8bVa4ndfXbLKE1itoYZ+/ey7fpVHm90/3F0NdfmjKs9o8A2wrKvsMjjGRISEu56vyTqzSPp2BFCD7oDiJzVoNsHDk2x8f4DnILMfhCFMJCas5f4jAVk6I7h4tCAWr6fU95tqNll9nRGDedSN3A2dS06YyYNPLvTt8r7+DkXvxRxUeSacjmcdJStsdtJ1CXS0qcF42u8T30rhD9ojblsiznDsogjRGgS6eTnz6+Bz9K6XJ0SFe8JoMnVs+P2FZZdP0twYhRDajbinZZBVHV78MRvD0qaNof1l8NYcPY0qVotM3v1ZWTA/cNtHG1d8HWqVWBbOqc8h5Sz84NP5G/dukWNGjUIDAwkISHhzpbp6Oho6ta1/D1cWhFCgOESImct5KwBGxds3KeAy2hsirGVWKO/RHzmPyRp1mNr40xF9/FU9HgCR3vzJixCmLieeZhTyUtJ1F2nknOAYtUfhBBczrzCppgthGZcoppLVZ6tM5H25dqqnhBZCEFwyk2WRhzmSOIVarqV5+1GQ+hfpQVOdsXPZaQkJiE4mXCL1TcvsD78IvW9/FjScywdK9VSvS+5RiP7I8JZdP4sh29HMqFpc97pdP+qf7Y29oXqDYC9jSN2dnYPrDlSb8xHGBNAuwmRvQyMMXk7dNyex8be/B0iucYkErJWEp+5iFxjAuVc+1Or3Kd4OLU0u40U3S1OJi/hasY+nO08aV1u1P8SsFt+Z1yyLoVtcds5kHgIBxt7elXsSa+KPfB0UH8XXrw2nVWRx1h7+yQGYWRYtUDG1upEZZeSV+ElKiuddeEXWXLtNJpcPa8368LT/m2sUm0vNCGeFaEXWBF6gSYVKrJ53BPUK3f/FAau9t74OhVcocvV3odU22w5xlEBIbSg3YPIWZXn0HFog43PfHDsaPaY3iR0pGRvJy5jARr9Wdwcm1Gv/E/4uPbFthjh6dHZ5zmRtIjb2Wfwc6rHgCofU8+js9mOpeIQrolgffT/O3RebzCZ5l6Wz39aFEZh4lDCZZaEH+JcWiQtfWrxU+unaV/eOo7ZwtAbjeyPucHSa2c4EHuTwTUDmNa6FxVczM+TZCmiMzNYcymUhedO42zvwIKhI+has9Z9z3W0cy10jOPtmAWUjjnVI+XYEblhiJw1kLMJRCo4tv+fN7mX2Te/zhBDYtYKErJWkmuMw8u5G/4VFuDl3NXsNvTGbM6mrudMyipMGGnmM5Tm3kMVifXUm/TsTzjAltjtZBoy6Vy+I29UmkJlK6xeJesyWX3rOGtunUBj0NG3SnO+ajGWuh7q96UwTEJwPD6SteEX2XbrMnqjkaCqdVnd5wnVc+kIITgRHcXy0PNsv34Ne1tbBtb35/X2Hankrl4FjzVr1nDw4EEcHBwICAigd+/edOvWjevXr+Pn58fHH3/M5MmTcXd3Z+jQoTRq9OhmszcXYUwG7YY8h47hKtjVwMbtFXAdj42ZJYCNphxSsjcTn7kUjf4szvZ1qOHzAX5uI80uIyyEiRtZRziRtIgk3U3qeXShR6UpVHIpXtUa82wJLqaHsj5mE9ezruPv0YA3G0ylqZf6lezywx+WRhzhWmYsLX1q8W3LCXSp0LDErV6FZ6SwNvwC68JDidak09inIp+37cfjdZqpvoJ1Kz2NFaEXWH0plMRsDR2r12DZ8FG0q6ZeEn2pN8Unb8Fqb94YR3cIbFzBeWCxHDpCCDJ0x0nIXEpq9g5sbZzxcx9FJc+ncbI3/7cvz6GzmCsZ+yjnWJ3eld+ivkeQxfPnQF6I56aYrRxKOoyXgyePVxtOV78u/B975x0Y51ll/Z/Ve++99+YiuUq2VSxb7nHiNBJaIKEnAULY0CEssCy7wJJd2N1vYVlI4t7kLvcuq7dRmZFG0ow00mjUpmna+/0hKyQhdhxr3okDPv+A5515n0eTmTvPvffcczycHW8V3j45yOt9lzk93EKAmzdP3qeMQJ3ZxPEBCXtlrVxVyQl092RbQjafy15BqOfdNxvsgemZGQ53SXijrYXWERUJAYG8UryGJ3PzHRr7HsScDwZBEMDcNNsgNx4FQQ9uK1kQ+P9m//cuf+8NZhkj2tdRa/disU0R6FVBfOAufNyXfKAzg1LfyjX1HxjQNxDtmce2mH8kzvuD3eNuIdfJ2ac4+JeCTuqXyQ9wfEFHb5nhiKKeN+SXGdRrWBmazu+WfpaCwASH7uNu0D6uYu+thpVmxsCK8Hj+UPooJZFJDt2HyWqlplfKrrYWLsj7CPTw5JGsHL5QuAxfd8fpiH2Y8WaBIAiC3e4mIoxGI56enhgMhndUzATb9OxsuX43WFrBOZYFnjvAcysLnO+O1iQIViYM5xnR/pkJw1lcnAIJ9XmEMJ/H8HC9e5s4rVn9FzoyVgoCt7MwaAeezvZnf8xYZzg7ep6jQ8fRW/SsDVvNhsjKD0UQWaZV8ee+yxxTNODt4s6OuKXsiFtGiLtjrUXfDwPaCfbImtkra0WhmyQvKILtSblsjs8i2MOxB7MxvZ69HW282dZC78Q4uWHhPJaTx+a0DHzc7nw4fu6554iPj+eb3/zmbZ+jVCpJTk7GYLi9+OAD3BnvFXMEwQqmSwj6PTBTAwvcZ5Mrz+3guuiuf/j1pk5GtG+g1u7FJhgJ9FpHmO+T+Lkvu+t7WGwmJFM1NNyy80zxLWZp8FOEeNj/h1QQBJonWzioOIxUJyPXP4ctUZtI8/1gOmX2wJTZwP6BG7wpv8K4SUd5RC6PJ6wky//DETi/HbTmGY72S9gtbebm6CChHt5sS8zhocQcMgIdqztkslo5Levh9dZmLg/0E+btzcOZOezMziHOP+COrz127Bjf//73uXbt2h2fV1hYyKuvvsq6dX/bbhdi4bZnHHP3bKfccBCECXBbNRtvPMpZsODuihtmqwa1bh8j069jtMjwdssn3PdJgrw24XyXWhSCIDBkaKNesxup9gpBbrEUhTxFqm+JKOMPby/oBLoGsClqI6tCVuDq5FgW3rtHylN8I3giYRXrIvPuK41AQRCoG1WwW9bEEXkHZpuV0ugUHkrMZU1UskPFSgVBoHlExestTRzp7sRis7EhJY3Hc/IojIp+3984Nzc3BgYGCA+/PWPn1VdfRaFQ8Nprr9l7+38XuG28sY6B8cDsGccqBZdUFng+BB6bWeB8d79bNmGGcf0pRqb/zNTMVdycowj1eZQwn513zUCG2c9Rv76OurFdDOjrifTMZnnIJ4jxKhClyDKoV7BfcZCb43UkeMWzPWbrh8LQUc9Ms+uWRuCM1UxV9CIej19Bgo/j9QrvhCmTkcN97bwhbaJVM0ycTwA7knJ5KDGXGB/HTj30TozzZmszezva0Rj0FMclsDM7l/Kk9499O3fupKysjGefffa2z2ltbaWyshKFQmHvrdsd98+v0geAYJuGmbMIxpMwc372QY9KFvh+A9wK75qSZ7IMM6Ldxaj2TUxWJb7uy25RAyvuetwKYMaq5cbYn2gaP4C7kw+Lgh4mN3CzKAUdk83MmZGzVCuPYbQZWRu6mqrI9QS4Bdh9rTvBJti4ru7hDfkVrqq7iPMK4auZm6iKXoTHfTL+YBMEmseGOKPo4ZxSSotmmGAPL7Yn5vBIUh5pAXdvS28PyCcmONMn40yvlBuKQdxdXNiWnsmvN2wiK/T+CtgP8BcIggVh5hrCzAkwngLbyCwV2f9H4L7+rtk5NpuRMX01I9rX0c7U4e4SS5T/5wn1efiu9bpm92OjY+o0V0b/G4NlknT/MjZEfUu0gk7rZBv7FAeQ6XrJ88/lO1mvkOzj2C4MgFw7ypv9V6hWNODEArbHFvFo/HLCPQMcvpfbYVA7yVllD2cVUq6q5NgEgfKYVP5nzU5WRSa+pxuDWJiaMXJB3seZXhnn5b1MGI2sTkjktxu3sjYxyaF7eYAPBsEiBeNJBOMJsLSDUzQLvJ8Cz4dY4Hx3+i2zYsg3GJl+HY3+GAsWuBLivZUU3199IEc9gFFjDxdG/oNBfSMRHplURX2bZN+VohR0NCYNhxRHuHCroPN0/MdYFbLC4SOeOssMRxX17Oq/ilynZkVIGv9W+CkKg5Lvm/EHo8XMFZWcs4oeziplKHSTZASE8bX81WxNyCbIgQ0rs9VK3ZCSM71SzvTJkI2PkxoUzFeXr2J7RiYBHo437XiAu4NgVcPM6dmcynQNFnjM6nV5/gRc776wYTBLGZl+HbVuHxbbJAGea0gL/S8CPNd8IF1TgAFdA5dH/wuVsZMYr4Vsi/0pcV533zz7IJDr+jkydJRazU2iPaP4cuoXWBSw0KHfc0EQaJnoZ+/AdU4PteDt4s5j8St4OG4ZAW6OZdndCb1TGs4ppZxXyrg20g/Ahth0XllUxtKwWIe9ZzZBoFk1zNk+GWf7emkdURHh7cMTuXk8kpVDjJ/j5TTuF3zkCju28c8hLLgB2GZHrfxeAY+quxYntQlmJg0XGNXuYtxQg4uTHyE+OwjzeQxP1w8242axzdAycYTasT8jCDaKw54l279KFDqyTbBxSX2F/YqDTJunKQtfS1XkevxdHfvhfbd+zuKgJH6+6ClWhabfF+MPOrOJi0O9nFH0cEbZw5hRT6SXL2ujUvhK7ipKopJwdZBws00QaBoe4pRMyilZD9JxDT5ubpTEJfCTskoqU1Lxuo1Y6QPcPxBG1iK4T4JLKng+wgLPzSxwufvChs7Ujlq7l1HdXmw2HYFeFWSE/S9+His/0Fz4nKveVfXvGTX2kB1QxdLgj4ky4gkg1crYNbAHyXQn+R9SQUcQBGo1Ul7vu8zl0U6iPAN5NrWcLdFL8HF1/CjGu2G12WgcU3JG0UONoofOiVG8XFxZGZHAtxeXsyEunUB3xyVXg1OTnJJJOS3r4YZiEIDFkdF8dnEhm1IziPa7/1zBHuCdsKm3Irj0glPQ7Bi570uzZ527jBVm6yhq3SFGtG9gNPfg7ZZHQtD3Cfbe/IHsg2HWQvj62J/omDxJuEc6D8f9gmivvHv5s94XWrOWw0PV1KjO4Ovqx1PxT1IcstLhBZ1hwwS75FfZP3gDi83KhqiF/KTgiftmpHxYP/1WvLky3IfRaiE7MJztidlUxqaTHRjusORqemaGC/I+TvX2cLa3l2nTDEmBgaxNSOInZaksjoy6b4pgD/DesI19HMG5EXAD92IW+P8EPCpYsODuCnFWmw6N/gSj2l1Mz1zHzTmKcN9PEOrzCO4uH1w8XWXo5Kr6f5DrbhLvvYTH4n9DuGf6B77P3aBX18dBxWEaJhqJ9YzhueTPUBRU6NBcxmg1c2KoiV3yq3RPD5HuF8XXs7awPqrgvmiSm6xWbo4OzOZUCim90xp8Xd1ZFZnI95esY31sGv7ujinaak0mLvXLqemVcq5PxpjBQKSPD2sSknhh2QqK4xIeNKz4CBZ2wIkFfj8Ej1IWOAXc9at0pjbU2r2odYew2MbwdS8iOeSfCfJa/4HYOTA7AtEycYSbY28wY9OSF7CFopAn8XC2/+iRIAg0TDSye3Afw4ZhSkKL2Rq9mSA3x4r0qWem2fs2/Zz1UQW8WvAYqb72d734wHsz6jirkHJ8oJNLQ72YbVYWhkTzyfRCSqNTyAgIddjhwmA2c00xwGmZlNMyKaN6HbF+/pQnJfODNWUsiYrG1Q6UaKPVyKD+9pTAYcPwvNd4gFks8H6KBQGbPlAxZza5OoBauw+9WYK7SyyRfp8h1Gcnbs4fnCkm193k2ugfGDZ2EO9dxOMJ/0GoCAwdAKVByZ7B/dSN15Pqk8IrmS87fOTK9JZ+ziV6podZGJjAz27p53zYdp5Gi5nrI/2cGOji5GAXY0Y9Md7+lMWk8A+LSlkaFucwYVKbINA+OsLpW8XjDvUoPm5urElI5J/XbWB1fCL+8xD7m4NVsN4x3sAsm/QB7AC3Ihb4/wDcltx1l3tu9EGt28+E4TxOCzwI9t5ESvAv8HbP/cBbmDINc33s/+iYPImfaziVkS+T7rdWFIHSGesMJ1SnODp0HJcFzuyMfZi1YWscPnLVPjnIn3svUaNqJdDNm6cTV7M9tuhD188RBAHp1BinBrs5PtBJ89gQHs4urIpM5DtLKlgblUyEl+PG3oempznbJ+OUTMrVgX4sgo3CqGi+vHQ5pYlJJAbY52w6bZ7GrLfc9vqkecou6/zdwzmcBQG/Arfiu2YfC4KNKeNlRnX7GNefQBDMBHiuJT3s/93SI/3gZ1ylvo0bY/+HXFdLuEc6D8X+E7Hedy/k/kEg0/ZyUHmYxokmErzi+Urql1joYJerIcM4e/uvc2CwFr3FREVkLi9nbyXH33Gsl9thymTk0nAfJwc6OaOQMm2eIdkvmPKYVEqjk1kcGuOQBrkgCPRPTnJe3ktNr5Trg4Oz+V1EJJ8sWExpYhLpwSF2eb8MVsP75FSqea/hKHzkCjtOgb9hwV0eVGeFSY/dGn24ibtLAhG+TxPsvR0P13sTilToW6gZ/gVTZhW5AZtYEvwY3i7i6Np0TXfzRv8upDoZhYGL+XLKFxwuivx2sUBfFw8ejlvGjrilBH+I+jkmq5V69SDnlDIuDMnoGB/BzcmZVZGJ/LCoktLoFEI8HENdtNpstI6OcKlfzpUBOXVKJSablZzQMD6Wl09FUsq8Ao/NJuDk9NevlWplvNL6ndu+Tj+qv6f1HuCvscDnsyxwef+Y89bog/YNNLpqnBZ4EOS9kYSgH3xgocA56CxjnFP9Gz3TF4n3LuTR+F+LIooMMG4aZ5/iIBdHLxHtGfWhCAa+vYA8bTFSHpHLt3Ie+lD1c+YSq3NKGeeVUmpHB5mxWsgJiuAT6UtYF5NGqr99Dhd3g8GpSS73y7k0IOfKQD/jRiPh3j6UJyXz8soSlsbE2l1PY9I8dcd4A6Aw3P+z5x8FOPm9wgL3uzvjGM0DjOp2MTr9BmabBn+PYpJDfkGgZ8Vda+e8HVbBQoNmD9fU/4uPSzBlES+S4V+O813ann8QWGwWzo9e4IDiMCbbDOsjKlkfuQ5PZ8eN7JhtFmqGW3lDfoX2yUHSfCP5ds4OKiJzcf0Q9XMmZwxcHO7jglLGxaFehg3TBLl7Uh6TypdzVrIyIgEPF8cUvqZmZrg+OMDlgdmYIxsfx8PFhZK4BH5UWk5pYhJBnvde/LrdGefi6GXOKS/c9nXNqkaWL1h6z+s+wCycAn521zmV2Tr2Nq2uXrzd8okN+AbB3ptwdX5vd7P3w5RZxaWR39I9fYFIz2y2xvyYeO9Cu/+eCoJAx7SEw8pq2qc6SPROdLjLlcVm5Yq6i73917mm7ibI3YfH4lewLbboQ9UkNdusNKiVXFDKuDTcS4tmGEEQWBIay1dyV1Eek0q8r2PIBGq9nisDci4P9HNloB/F9BTerq6suhVv1iQkEeJ17/HGbLW+Z3NdMtV1xzPOuHT8ntd0ND5yhZ27gc7Uxsj0G4zpDmITDAR4lpER9if8PJbf8xdYZ9FwefS/6Zg8Qbx3Idti/hE/N3GKLCqjil0De7k5XkeGbzrfzfoWST6Joqz1XrAKNi6MdPDnvks0jctJ8Y3gH7K3UxGZ96FRA1X6aWoUPZxXyrgy3IfWYiLBN5CSyCRezCthWXgcPq6OUTxXabVc7O/jgryPSwNyJoxGQr28WRkbx6tlFayIiSPS996DtMFk5qq0nxqJlAtdvVz8xl8LeiX7JPGZnM/e9h7DQ8Mc4cA97+EB7h5m6yij2r2Mat/EaOnDyy3n1ujDtntKrmA2wWoaP8B19f/i7uTLtph/JN6n0M47n4XRauTY0AmODh/Hx8WbZxI/yYqQ5Q6lI3dNDfF632VODjXhdUuA/aHYIsI8Ppw5aYPFzKXhPs4ppJwfmtWu8HPzoDhiln5cHJlIlLdjxpr0ZjPXFQNclPdxXt5H78Q47s4uFEVH89ySIlbExJEZGobTPIrHrUoVZyRSzkpkHPziU3/1HH9XP17N+cEd79PoWXdP6z/AB8NbwqTaN5gyXsbVKYQQn0cI9/0Y7i53p7/zXhjQNXJ+5N+YMCkoCv4Yi4N34vwBbIjvFoIgcHO8jt0D+1Cb1JSFrWVz1EaH2paPm7TsG7jB3v7raGa0rAnP5svpG1gYmPChdMsFQaB9XMUZhZQLQzLq1bNF0oLgKB5PLWBVRAJ5wVEOGTOwCQItIyouyvu40N9Hw5ASqyCQFRJKeWIyK0viKYyOnldhSTkxxVmJjDMSKc5OTvzu6e1/9Zzi0JVUBJXf9h6/Cv8V2pHpe97DA9wdBMHGpPEio9o3GdefZsECd0K8t5Dq++94ud37iJTJqqdO8yb1mj14uwSzOfqHJPrcvXnE3UIQBJommjmkPIJUJyPDN52vpb9Ajl+2w77ro8YpDg7WcmDwJiPGSZYGp/CPBY9THJbxoRWQFbpJzimkXBjq5apKzrR5hlifAFZFJPBM5lKWh8c7xFTGYDZTq1Rwqb+PSwP9SNSjOC9YQEFEJA9lZrEiJo6CiEjcXe79fRrXGTjfJeOMRMY12QA3Xvn8Xz0nwy+Nh3Meue09JAskfJzr97wHR+JvprBjsU2j1u5hVLcXvakND5cEovw/T4jPjnsafZiDTbDSOL6f6+r/xc3Jmw1Rr5Dqu0aUgDBlnuKwspqakbOEuYfyfOqXKHAgPVBvmaFaUc+f+y6jMGhYFZrBbwo/zZKgJIcfdmyCQJtmmLNKKTWD3TRrhvFwdmF5eDxfK1jN6qgkEnwd4wA2Y7Fwc0hx66AjR6Iexc3JmcLoaD63pIjiuIR50wHHdQZqJFLOSqRckfZjNFvIi4ngY8vem4rq4exBjNftXd+cPB/MtYsJQbAxYahhRLuLScM5nBZ4Euy9lRSfX+PtnjOvew/qGjmr+jWTZiWLgh6hMPhxXO+xQHQnWGwWLqkvs09xkBnrDFuiNlEZUYGbCBph74U5Afb/67tI7ZiURO/QD3W2XKmb4pxSyhlFD5eG+5ixWsgLiuChxBxWRyWR76DEShAEOsfUbxWPaxUKTDYrGSGhVCQlUxyfwJLI6HkddEwWK9dk/dR0SDnbKWN0Wkekvy+lGe+tM+e8wPmO8QbAzcGjM39v0Ju6UE3/EY2++i1h0tTQ3xLguRaneRRgtGY1F0Zeo3v6AvHeRWyM/h6BbuIw5DqmJOwe2ItUJ2N58FK+Fv0CYR6OMzGQaVW80XeFo8oG3J1c2BZbxCNxy4j4EATYDRYz11Ryziik1Ci6GdJPE+LhzeqoJD6etphVkYkEOEi7YkSn5WK/nAvyPi73y9EYDYR6eVMcF8+TufmsjI2fV5dcEAQ6h9Wcau/mrERGx/AoXm6uFKcmUJH13mO+vq6+hHvd3hXL39UPLQ8KO2JhxqJkZPpPqHUHMFmV+LgvITH4xwR5VeF8lyNb7wVBsNE2eYyro7/HIsywNORpCgK3212b1CbYqBuv55DyCP36AfL9c/lW5jdJ9U2x6zq3gyAINI73sbv/GmdVbXi7uLMlegnbYguJ8xZHF/FOsNhsNKqVnFNKqVH0IJkYwdPZleXhcbyYX8LqyCQSfANFz/X+MuXQx+X+fuqHZqccUoOCWRkbx1eXraQoOmbe1uSK8UlOtHVzRiKjoV+Js9MClibG8nz5yvd8vqez5x3POBOeDxg7DoPZOsrw1O9RTf8RAQtBXhuJD/w2vu5F8/6AjhplnB7+OWqjjMXBO0VLsLRmLUeHT3BaVYO7kztPxj3O6tBih4kGKvQa9vRf4+DgTcw2C1XRi3gifiXxPo51jZo2z3BxqJezih7OKWWojTpCPbwpjU7hy7mrHEo/lk9McE4u47y8j+uDAxgsFhIDAlkdn8BLK4pZGh2D5zyFjzU6PafbezjR1s313gGcnZxYlhTHNzesZk1GEmG+Pnb6ax7AXrAJJsZ0h1BO/RajuQc/j5UkBv/k1mFnfrFhxqrl0sjvaJ08SoL3UjbH/IAAtzsn0/cCq2DlqvoaB5SH0Zg0rA4tZnv0Vod1zPWWGY4qG9glv0qfbpTC4GR+ufgTLAtJdWgB2WKzUa9WzDrKKKR0To7i7uzCyvB4vrukgvLoFEI9HfMdnDQaudQv55y8l0v9clQ6LQEeHqyKi+dHpeUUxyUQ7jO/vZgsFq5I+2cPOx1SpowzZEWF8WhhHqUZSWREOE6L7AHuHtPGmyin/oMJQw0eLglE+H2KUO+HP5Bt8HtBEGy0Th7l0sjv8HT2Z3PMj0j0XirKZ6Bzuot9gweQTHeS7ZfF97K/TaJ3gt3XeS9YBRuXRiS8Kb/CTY2MWK9gns+oYmPUIjxdHFPEnoN8epyzSilnFT1cU/VjslnJDAxjR1Iu5TGp5AZF3jPz7oPAZLVyU6nggrz3Hc2qxVHRfGbxEkriEsgImV88EASBjqFRTrR1caKtG/nYBGG+3pRmJvPiulUUJcbgNo/i9AOIA4O5B+XkbxnTHcDFOYgQ7+2E+jyMp+v8CyKjRilnhv8VlbGTvMAtLA1+Ck8X+7JyrYKV62O1HFYeQWkcYkngYp5J/CTx3vF2Xed20FlmOKZsYG//daRaFVn+MXwr5yHKI3Jxd3DDasyo55xSytlbTMBp8wxRXn6URqfw8sI1LAuPd4ge4LB2enbCoV/O5QE54++aclgZG0eEz/xH0eaKOcdbu2hRqPDzcGd1WiIf21nFqpR4fDwcM9XxYeMjG1V1M62otP+HWrsfZycfIv2eIdz3aVycA+Z9b4vNRO3Yn7g59gZhHmk8kfgfBLsnzPu+74bOoufE8ElODJ/CxcmFrdGbKQ8rxd3ZMR++5vF+/q/vAhdUHYS4+/J0YgnbYgsdaq3XPz3OqcFuzih6uDEygFWwsTAkmo+nL2ZtVDKZgeEOOejMWCzcUAxyVt7L+b5eeifG8XF1Y0VsHK8Ur6EkPsEu9nn9mgnOdEipkUiplytxdXaiODWRn+5Yz+q0xL+bwPNRg9k6yoh2NyPT/4fZOkqw92ZSQ/5tXlTkt0M6fZmzql9hE6yisQJtgo3rYzc4oDyEyjjCypAVbI3a7LCO+YhxkjfkVzgwUIvZZvlQBNinTEbOK2WcHuzm/JCMSZOROJ8A1kYn881Fa1kaFueQ4rEgCEjUo5zt6+WcvJeGISUCsDAikidy8yiJSyAnLBzneTKEpgxGLnb3cbpDysXuPnQzJvJiInh2dRGV2alEB/79WoLez7AJM2j0J1BN/y/amTp83BaSGvpbAj3L7SJgPG4apGboFygNrSwM2sGykI/j6mR/l7me6R72KQ7SNtVOum8a38x4iQw/cRxu3g2dZYaDg7W8Kb/KkGGc5SFp/Mvij7M8JNVhY6YWm42bo4OcHuzmrLIH2ZQGHxe3t/QAV0cmEe4g4WPF1BTn5b2cl/dyZaAfndlMwq1m1deWr2JZTOy8XTotVht1cgU1EilnOqQoJqaI9PdlXXYqldmp5MdEvqeezgN8uBAEK5PGC6im/48Jwxk8XJJIDP4xwd5bcVow/+Kn2Wbgmvp/adDsJdwjXRTzB4vNwpWxaxxRVjMyM8qy4CK+kPK592Wa2gsKvYZd8qscUtzEYrNSEZnHt3N3OFQfUBAEuibVnBzo4oyih6YxJS5OThSFxfF83ipWRyaT5BckegPHaDFTq1Bwob+Pi/I+ujRjuDk7UxgVzbOLiyiOTyDDDqLHgiDQrRrjdEcPpzukdAyN4OfhTnlWCl8sXc6ypDjcXBzjgnw/4UMr7PT29pKfn8/JkydZtmzZXb9uwnAB9fhr6ExNeLgkExf4D4T67Jx3t3wOct1NzqteY9o8wqqwZ8kP3IrTPSi83wlT5ilOq85wSnUaWMDGqA1UhJc5RDTQZLNwTtXGbvk1mibkZPvH8MP8R1kbno2LA1TObYJA89gQNYpuTg120zkxiq+rO6ujkvjZ8o2sjkwiyAFznTCrlXOmT0aNTMrVwX4MFgtpQcFUJCWzOj6RxVHRdhEh7ddMcKRJwvHWLrpHxvC9VUX++SMbKElLxNvdsV3D98KuXbu4ceMGer2exx57jJKSkreuWa1WPv/5zxMdHY1cLqe0tJQnn3zyQ9ztveFeY4509GvobCdwcvIi1PthIvw+ibuLfX6sJ01DXBz5LVLtJTL8yikJ+5zdO1gWm4XrmlqODB1lyDDEsuClvJD6ZSIcIMQuCAKtkwPs7b/OyaFm/N28eCqxhO0OLCAPaiepUXRTo+jhmkqO7ZYo4OezV1AWneKQgw7MzpJfHpBzWiblvLwPlU5LsKcXq+MTeDqvgFVx8QR4zP83YNo4w+n2Ho40S7jRO4iAQGFCDF8pW0FpZjLRAfeH5fnfesy513gzOPEbJs1/xmKbINCzjMzwN+zCQAaw2Gao0+ymduxPBLrFsjP+V0R4Zsz7vm+HIAh0TndxZOgoLZOtpPqk8I2Mr5Hpm+GQ79mgfox9Azc4MFCLRbCyOXoxO+NXEO+g8QftLebxbDFHyviMgUTfIEqjU/hhYTJLQu0vbv5esNhs1A8pqemVcrZXRs+4Bg8XF5bHxPH1FcWsSUgkzj9g/utYbVzvHeBIs4SzEimThhmSQ4Ooyk2nLDOZvJiI+4IJ+CDevDdU039Co/4fTFYFfu7LSQ39DwI9K+xSQBYEAan2MhdU/86MTcua8C+RG7DRru56FpuFy2NXOaw8gsY0zorgZbyY/jwRHrcf47MXZvV75Lzed5nzqnZC3H35RNIatsYUOsxNz2qz0aBWcnKwi5MDnci1E4TcmnR4LnsZKyMSHKI/qpie4rSshxqZjBvKQUxWKymBQRTHJ/DNVaspssOUwxxkoxoONXZwrLWTfs0kIT5elGYk80LFSpYmxt4XxZwPM958KIUdm83Gz372M7Kzsz/wa7tGPkN4YDmZ4a/j624/2rBmpp+LI/9Bn+4Gid7L2BbzY7uLIw8Zhjk+fJLL6su4ObmzLryCdREVeLuIHwBUhgn29F/n4GAtU2YDq8Iy+I+izzhELHDGauHqsJxTg92cVnQzYtC+RQd8ZVEZS8PiHHLQEQSBbs0Yp2Q9nJJJaVYN4+HiwspbrJzVCYlE+9on6RnT6jnW2smR5k6aBoYI9PJkfU4a36xaw5IE+1ie2wtTU1P85Cc/oa6uDqPRSGFhIc3NzTjdYgucPXsWlUrFb3/7WyYmJsjIyPjIHXrmE3N0plYSw39MkNcmuxWQTVY9N8b+ROP4Pnxdwtga82MSfIrscu856C16zo1e4OTwaSbNkxQFFfLFlM8R7XnvAqt3C6PVxHFlE7v7r9E9PUSKbwTfyN7KhqgC3EQeMRUEgY7xEU4OdnFqsJv2cRVeLq6URCbxj0urKI1OJtDdMYeuMb2eml4pp2VSLg3IMVos5IdH8ERuHqvjE8kJsw8j0WSxcKGrbza56pQhCAIlqYm8un0dJWmJBHjZn40xH/ytx5z5xJvhqf9HfNinCPN5AncX+7DZBEGga/osl0b+kxnrNEtDnmJR0E67ul3NaVocHTqOTNdLik8KX0t7gRx/8UVK5/S63pBf4aq6izB3P55MXMWO2GUOSbBGDbrZZtVAF5eG+zDbrCwKieazmUupiEkj2f/eHIM+KLQmExf7+zgtk3K2T8aE0UhiQCCliUl8e/VaiqJi5qXNNQdBEGhVqDjcLOFYSydqrZ6c6HA+W1JEaWYyCcGOcdC5WzyIN7dHv+YfiQ19gnDfj+Pp+t4aa/cCtVHG+ZF/Z1DfQJrfWkrCnsPbxX7fA4vNwkX1ZY4oqxk3T7AqZAWbozYS6i4+A9kq2DinauOPvRdpnxwkyz+G7+ftpCwixyENcovNRu3IAEf7Ozg+0IXaqCPBN5DK2HQqY9MoCIkWfdJBEATaR0c4JZNyWtZDu3oUb1dXVscn8sO15ayKjZ+Xicy7MabVc7Slk0NNHbQqVIT5erMxL4OKrBTyYiLmzW62Jz7sePOhFHb+5V/+hWeffZbnn3/+ts+xWCxYLJa3/m00GgHICP8jYQElt3vZB4bZZuTG2J+oH9tNkHsc22N/Spz3YrvdXxAEurTdHBs6QcNEI2HuYTwe9yirQlaKPnIlCALNE/28Ib/MOVU7AW7ePBy3jK2xhYSL7DajNc9wTiHl+EAX55RSdBYT2YHhPJFSQEVMGpmBYQ7p4sx1rU7fKubIJycI9vSiLDGJLxUuY0VsnN2qyON6w1uaOddk/bi7uFCWmczn1yxleXLcfVXMeTuuX79Oeno6CxYswNPTE29vb6RSKamps6KGISEhjI2NATA6Okp+fv6Hud17wnxiTk7UYbw87fMDJQgCPdMXOD/yGhbbDCtDnyEvcItd3WfGZsY4qTrNuZELgMDq0BLWRZQT4i5+x1plnGSP/Br7B29gsJgoj8zj5eyt5PjHivp9t9ps1KkVHOuXcGqwG4VukjBPHypiUnmpYLXDZskBeifG34o39UOzVOgVsXF8p2QtpYlJhHnbR7dnTgD5eGsXNbc0cwoTYnhl41oqs1Px97y/ijlvx996zJlPvMmPPoGvt/3o+2Mzcs4O/xKFoYUs/3UsD/kkPq72iwUz1hkuqa9wYvgkIzOjLAws4FtxjhEpNVpNVCsaeFN+hT7dKIuDkvjpwicpDs0QPcEa1E5yfKCTEwOd1I0O4urkTHFkIj8qWs/a6GRCPBzDSFRptdT0Sjklk3J1oB+zzcriqGieW1xEeVIySYH2MZkQBIEulZpjrV0cb+1CPjZBXJA/O5fksikvg8RQx5hZ3AsexJvbx5vcqCME+NqPtWeyGbh+a+wq1COFR+L+lSiv+RlKvPP+Zi6OXqR66BgT5klKQlaxMaqKUAecb2asZqoV9fyp7xKDeg2rwzN5MeNZcgPiHCI6fGNkgCPyDk4MdDI2oyc9IJSn0haxPjadVP/5jza9H0xWKzcUg7fiTQ/K6WnCvX0oS0rm6yuKWRYTa5fC8Rx0MybOSKQcae7kck8f7i4uVGSlvMXMuZ+KOW/Hhx1vHF7YaWxsBKCgoOCOz/vRj37E97///b963M/DPl1ti22Gtsnj3Bx7A5NNR3HYs+QFbrHb2JXZZuaGppZTqjP06npJ8UnmiymfY3HgItHnu+e65fsGriOZUpLpF813cndQHpErqrWezmzijKKH6v4OzillmG1WloXF8bWC1ZRHpxLj4xg9B4vNxrXBAY52d3JC2s34ra5VZXIKFckpFIRH2i0gWG02rkj7ebO2mfOdvTg5LaA4NYGf7ljP2oxkvNzE0evQW2aQTqtue12lHQX+8uM9BxcXF1zeFXjVajU+bxNm9fX1Ra1WvxWECgoKWLp0Kc899xzd3d184QtfsNef4RDMN+bMx3FmDoIg0K+vp1b9JxSGZrL8K1kZ+hm8XALmfe+5+/dopZxSnaZWU4efqx9bojayJmyN6IxAQRCo1UjZ13+d8yMd+Lt68Wj8Ch6KLSLYXTz9COst/Yqj/RKO9UsYNepI9gtma0I2FTGp5AU7RogUoEczRnV3J0e7u+jWjOHv7kFpYhKfLFhESVwC3m72G7eUjoyx62YLBxs7mDQYyY0O59nVRWzITSfSX5z32yJY7xhvYPbQa7Va/+5jznzjjauzfRKUSZOSm5o3aZ84Toh7Eo/G/9quY1cak4YzqnOcGz2P0WpkRcgKXoj4CpEOGPHs16nZ23+damU9RquZysh8h+h1DWgnqJZLODYgoXlsCF9Xd8qiU/h0RhHFkYl4uzpmrFo5PcXR7i6OdnfRqBrCw8WF4rh4flhaTmlCEsHzcLB6Nyb0Rg41tbOrtgXpqIYIPx/WZaeyMS+D3Ohw0ZLJ8Rkd2jvEHM2MFpvN9iDezDPeeLgm2GUfFpuJtslj3Bx7HZPNwJrwL5ETUGW3nMpoNXJu5DzHhk+itWgpCV3Fpsgqgt3FZ8NNmPTsHbjGbvk1ps0GqqIX8otFT4tuMCMIAo1jSg71tVMt72DUqCMzMIxPZCxhQ1wGyX7i/+1mq5WrgwMc7pJwUtrDtGmGtOAQtmdkUZ6UQq6dWMdzEASBFoWKN2ubOdrSidlqZUVyPD/eXkl5VopoOZXOfOecakCnBj4aOZXDCzvV1dUA/OQnP6G/v58//vGPmM1miouL3/G8b33rW7z88stv/dtoNBIYOH96p8VmonWimtqx15mxTZPtX0Vh8ON262BpTBrOjVzg7Mh5tBYtS4IW82TcYw7pXg3oxtjTf40jijqMVjNlEbl8NXMzeSJWk40WM+eUMg7L2zmj6MFss7L8lqvMupg0gh2kl2MTBG4qFRzpknCsp5sxg56skFA+vXAJlckpJAfZNwDKxybY39DGwYZ2hqe0LEmI5kfbKyjLSHaIAHLrxACPX/7lba+bxqaxWCx4er5zdOi73/0u3/ve997xWEhICFqt9q1/T09PExLyl+/D3r17UavV/P73v2dycpLU1FQqKyvx9nacyPZ88GHHnH5dHVdH/4dho4RYr0U8EvdLorw+OGX6vTBjneG65ganVWeR6+UkeMXzTNInWRpUJLqrntZi5Kiigb391+jVjZIfEM93cndQFpEr2rjV3EHniLyDankHKoOWNP8QnkxdSFV8Jqn+jrMR7Z+c4HBXJ0e6JHSOqQnx8qIqJY3vryljcWSUXRl6WuMMR1u72FffRtPAENEBfnxixSI252c4RABZM6O9Y7wBkGpV/PnPf6aqquodj/+9xZwPO95MmYa5NvZHJJOn8HUNY23El8nyX2+XBGtOP6dm5Cw3NXX4uPhQGraWsvC1+LuK+zm0CjaujHaxu/8q19TdRHgE8ETCKrbFFBLkLp57nUI3SbVcQrW8nWbNMP5uHqyLSeOF3GJWRCQ4ZIwcZpk5R3u6qO6SUD88hK+bO+uSU/hC0VJWxtpX9N1qs3FV2s+++jZOd0hxdXaiKjedH2wtpyA2yiECyEcUdexqb7jtdaX8CpHt+r/7M86HHW+sgpnWiaPUjv0Zo3WKbP8qikKexNvFPgyuKfM0NaoznFLVYBbMrAldzYbISoLcxB/3U+g1/LnvEocVdbgucOah2KXsjF9OqIe4OnXSyTEO9LVysK+dAe0Eib5BPJG6kM3xWQ4Z67TabNQqFRzp7uR4dxcao4G88Ai+VLSMyuRUYv3tH+vH9QaONEnYW9dKp0pNalgwX123iqrcdIK8xc8j68dlvHGHM46+b5Tp6emPRLxxeGHnlVdeeev/Hz9+nKeeeuo9hb7eqwo2H9gEK51TZ7im/gM6yxi5AZtZHLTTLgUdm2CjfaqDmpGzNIw34uviy+rQYkrD1xDkJi499d2z5eEe/jyVWMKWmCWiHXbMNiuXh/o4JG/n1EAXOouJpeFxfHtxOetj0x0mfiwIAm2jIxzuknCkq5Mh7TSpQcE8nV/AxtR0u1GQ56CbMXGirZt99W3UyRWE+HixbWEW2xdmkyQCDdlmE7jU1ktJ7l+7B+QExPLzlZ+77WtVQ8OUufwX09PT73j8vb5TS5cu5Rvf+AaCIGA0GtHpdCQlJTEwMEBsbCxKpZKwsDBgtvLsaqfRNUfhw4o5KkMnl0f/mwF9PXHei9kZ/ysiPbPscu9hwzBnRs5xUX2ZGdsMhYFLeDr+CZJ9kkWn4/ZpR9jVf5WjigasgsD6qHx+mP8oaX7iafdIxkc41NfOYXk7g7pJEnwD2Zmcz6b4TNICHOPqBTCi03Kkq5PDXRKaVMMEeniwPiWN75SspSg6xq7UYJtN4EbfAPvq2zjV3oNNEKjITOFLpctZnhQnSnLVrVCTGv3Xv4lB7j68vvIrd3ztdp+jPPHEE/znf/7nOx7/e4s5H1a80VvGqR17nZaJw/i4hFAR+TXS/crsUtAxWA1cVl+lZuQsSoOSRO9Enkn6FEVBS3B1Eve/zbTZwMHBm+zuv8aQYZyi4BT+aeHHWBWWgbNI7OdRg44j8tkueZ1aga+rO5WxabyQV+LQYo5ar+d4TxdHujqpVQ7i7epGWVIyn1uylFVx8XYde4C/blgVxEbyrU1rqcpJE6VhNakz0qNUszj1r0cPN0UvZnvO7WUXXrsioPMc5+LFi+94/EG8cVxO1TV1jqvq/7mVU21icdCjdmuSDxmGOTF8kkvqK7g5uVIWXsq68HJ8XcV3keucUvK/svPUDLcS5uHP51LXsSVmCd4u4jVt52LOgd5WmjXDhHv6sDkhi60J2WQHiseMm4MgCDQMD3Gku5Oj3Z2M6HSkB4fwyYWL2JiaTkKA/QtpVpuNa7IB9tS1UnOrgLw+J43vbC5lYVyU3f9mq83GlbY+it8jp1oUmMT3Vz5629d2BXbwjO9RRkZG3vH4/RhvPjRXrN/97nfI5XJ+//vfExQURFpamijrzFh1tE0eo2n8ANPmETL8K1gW8jR+rvNXTNeatVwau8LZkXMMG1Wk+abyXPJnWBK4WPRuuWZGyxFFPfsHbqAwaFgclMTPFn6MVaHposyWz3XKD/a1caSvg7EZPQXBUbyYX0JVXIbDLDsBBiYnOdTVwQFJB9JxDbF+/mzLyGRzWgYZIfZP8rqG1bxe28ThJgkmi4W16Un8+8e2siolARdn+x8sbTaBmoZu/vPYdXoUaur//YW/eo6XizvJvrf/DHtOWwHw8Hh/nQ0/Pz9efvllXnzxRfR6Pb/5zW/o7e3lySef5Pr16zz99NM899xz/OAHP0ClUvHtb3/7I9HJejccEXMEwYZMe5XG8X0M6psI98jgodifE+tdMO97W2wWGieaODtyntapNoLdgqiKXE9J6CrRu+Vmm4Vzqnb2DdygTiMj2jOIz6SUszlmMX6u4rj5DemnONjbzsG+NiQTI0R5+bEpPpPNCVkOOejMYXpmhpOyHg5KOrgy2I+XiyvrklN4fukKVsTaXztrXGdgX0Mbu2qb6ddMkhsdzkvrS6jKTRdNN6dzYIT/Onadmoae94w3Lguc7xhvANydXXF2dn4Qc27BUWcctVFGw/g+OqdqcHfyoTjsOXICquyi2yXX9XN29DxX1VexIbAsqIjPJn6aRJ+E+W/8fdA+OfiWm57zggVsjF7EI3HLSPAJE2U9vcXEyYEuDvS2cWm4F3dnFypiUnk2ezklkYkO0+jSmUyckvVwsLODS/1y3JydKUtM5rWNW1gdn2BXZg7Mjlqclch4/UYT12QDojesAMa1Bv5UU8+b5xoJ8fNm//c/8VfPCXT3JvwOMSfI3QeD0+SDeHMLjsuptLRNHqdp/ABTZhWZfhUsC/24XXIqm2CjZbKV06ozNE+2EOYexmNxOyl2gCapxWblrKqNPf3XaBjvI9U3ku/lPUJ5RK5oel06s4mTg10cvBVzPJxdWR+XztcL1rA8PN4hGjK9E+MckLRzUNJB/9QkiQGBPJqdy6bUDFKDxWEHjUxp2Vvfxp66VpQTUyyMi+Q7m0vZkJMmikuwxWrjxM1O/vv4DfpV49x87fm/eo63651zKoP3rLzFRyHeLBAEQbDb3USE0WjE09MTg8FwV2+s1qymcXw/LROHEQQbWf6V5AdtJ9BtfqKEc1Tkc6PnqdXU4bLAheUhyygNW0OcV+y87n03azeO97G3/zpnVG14OLuyIaqAh2KLSPYVZ669b1rDwd42DvS10Tc9TqJvENsSs9makE28r+OcDzQGPUe7uzjY2UHdkJJADw82pWWwNT2ThRGRdk/yDCYzJ9u72VXbQn2/krigAB4rymNbQRaB3uIkslabjVN1XfzXsev0DmsoX5jKpzcsJS3mncWq5557jvj4eL75zW/e9l5KpZLk5GQMBoMoe/17wAeJORabCcnUaeo1uxk3DRDvXcTCwO3EeS+Z92dzdGaUcyMXuKi+xJR5mhz/bErD1lIQkCe6XteQYZx9/Tc4rLjJhEnPitB0tscWsSI0TZRu+ZTJyPGBTg70tnFNJcfXzYONcRlsTcimMCzWYZo5JquVi/I+DnZ2cEomxSbYWB2fyNb0TMqSkuyeXAmCwE25gt21LRxv68bNxZmtBZk8WphHWrh442XtchX/dew655qkpEaH8JmqpZQvemdCcOzYMb7//e9z7dq1O96rsLCQV199lXXr1om2379lfJB4IwgCg/om6jS7kOtuEOgWR0HgNjL9K3Cdp3Of0Wrk2tgNzo1eoFfXS7h7OKVhqykOXYW3i7jJrtFq5uRQE3v6ryOZUpDkE8ZDsUupilqIj6v9i5pWm43Lqj72y1o5OdiFyWqlJCqJ7QnZlMWk4mnn7/ntYLZauTQgn4030h5MVivF8QlsTc+kIikFLxEYJIqJKfbVtbK7rhW1VseqlAQeK8yjJC1RlIYVgGZKzx9r6th1vgl3F2eeLFvMo2vy8fF8Z9Lu5ubGwMAA4eG3T7ReffVVFAoFr732mih7/VvHB82pps0jNI7vp3WiGkGwkelfSUHgNgLd55/3TJgmuai+xLmR86hNY2T6ZlARUcbCgALRzziaGS37Bq6zf6AW9cw0xWEZPBK3jKLgFFGaRxabjcvDvezvbePkQBdm22zM2ZaQTbmDYo5ar+dodycHJB00qoYI9fJmS/psPpUdKo6xjdVm41KPnN21LZzrkuHj7s72hVk8vDiH5DBxCkhmq5Wj1yX8v+M3UKgnWV+Yzqc3LCUx4p0F6507d1JWVsazzz5723u1trZSWVmJQqEQZa/2xIfG2BELs92rvUgma/Bw9mVJ8GPkBmzGw3l+jJJp8zQX1Ze5MHqRIeMwid6JPBX/JMuCi/BwFtd9RGsxckLZxN7+6/Roh8nyj+Gb2duoiMzFw9n+1c2JGQOH5e0c6G2jXq0g2N2LTQmZ/GtiDnlB9i+i3A56s5maXikHJR1c6O/DxcmJ8qRk/mvJdorj4kVxmWpTqthT10p1cycGk5m1GUn89yceYlmiOKMPAEaTheM3Jfz+RC2Do5OsW5zGT5/ZSHKU4/RCHuDeYLBM0jJRTdP4fozWaTL8y9gY/T2C3ePndV+LzUL9RAPnRy7SOtVGgKs/q0NLKAktFt39wSrYuKHuYU//NS6PdhLk7sP22CK2xhQS4Rlg9/XMNivnlTL297ZyerAbgNLoFP6jZAero5Ic1imf0+k61CXhaHcnE0YjS6Ki+VbJGqpS0gj0tH9Bd3Rax4GGdvbWtyIfmyArKoxvbVrLxtx0UTpXMFsUqOse5A8nb3K5rY+M2DB+8dwWSnKTHKKd8QD3DqtgQTp9kTrNbkaMXUR55rI55kckehexYJ4JUK+uj3MjF7g2dh2LYGFJ4GIejX2YDN900X/zFXoN+wZucHCwFr3FRGlENi9mbiQ/IF6UtTvGR9jX28KhvnZGDFrygyP5esEaNsdnOVQXsH5IyaHODo7e0rFYHBnFy6tWU5WSZlcB5DmYLFbOSKTsrWvlslROoJcnOxblsLMwlxgRtboU6kleP9vAvosteLq78tmqZTxSkoeXh2PEph/g3jFi7KZBs5euqbN4ugRQGPwEOQEb551T2QQbHVMSzo6ep368AQ8nd1aFrGRN2GqiPMUVQRcEgY4pBXv6r3FC2YSnixtbYwrZEbuUKC/7N6wFQaBVM8zBvjYO9rWjNupYGBLFywvXsjE+0yExR282c1I6xwS85TCVlMLzy2aZxy4isYMGxyfZV9/G/vo2hqe0FCbE8NMd6ynPTMHdVZyznc5oovp6B384eZPRCS0bl2Xy6y9uJy4sQJT17jf8TRR2Zg87l2gaP4jS0EKAWwxrI75Ehl8FLk73/sMhCAIyXS+nVWeo1dTi4uTKsuClfC75s8R7zy9xuxt0TinZ23+dE0NNWAUbFRF5fCv3IbL87WeFOgerzcal4T52S5s5NdiF04IFVMam8aWclayKTBTtS/9uWGw2LvXLOdDZ/lbnamVsPD8tq6QiOQUfO7rLzGHKYKS6pZM9da20K0dICA7ksyWFbC3IItRXvA5l77CGvRebOXy1HcOMmQ1LM/jXz20lIeL+tQ19gFkMGyQ0jx+ia/oszgtcyQ3YTEHg9nnPl2tM45wfucC50fNMmqfI9c/hSylfoCAgT/TxzrGZaQ4N1nFg4AZDxgkWBibww/xHWRueLQoVWTo5xpvSJvb1tjBm1FMYGsv3CtdRFZuOv7s4rLj3QueYmv2Sdg53ShjSTpMWFMwzC5ewJT2DGD/7Jztznas9N1s51ynD082VzfkZ/GLnRrKixBkzAZjSGTlyvZ09F1voG9aQlxTJLz+/lVU5iQ4r1j/AvUFnGaNloprWiWp0Fg3JPitZE//FeWt2mWwmbozVUjNyFpmul0iPSLZHb2FlyArRtSwsNisXRzrYN3CD62M9hLj78lj8CrbFFhEigpuexqjnYF8be2QttI+riPH2Z2dyHtsScxziLjOH7rExDnS2c6hTgmJ6ipTAID65cBFb0jJFESUFkI1q2FvXyoHGdsb1BlalJPCvj25iTXoSbi7ijJlYrDYutfay50IzVzv6CPX34YvbVrJ9VS6eIjnbPIB9YLGZ6J4+T/P4QYaNEoLdEiiLeJE0v7XzyqkAJkwTXFRf5vzoRUZnRknxSeZTiZ+gKGgJbvO89/th2mzgmLKRg4M36Z4eItEnjK9lbWZDVIEoTfK5iYeDfe30TmuI8wngydSFbEvMJsFX/HP+7ZiAP1+3QTQmIIDRbKGmo4c9da3vGO98aFEOiSHiTXp09KvYe7GF47USLFYbW5Zn84nKJUQFO8aR+X7BR7qw8+7DTpLPMrbF/oQ4r0Xz6l4ZrAaujl3n3MgF5Ho5sZ4xPBn/BMuDl4rOzpmxmjmjamW3/BqtkwMkeIfyudQKNkQtxN/N/lXdQe0Eu2XN7JG2oNRPsTgkmh8UVlIVn4Gvq/juTnCrmj06wgFJO4e7JKj1ehZFRPKNlSVUpaYTIkLnShAEavsU7K1r5WR7N4IgsC47lZc3rGZJfLRoiY7ZYuVMYw97LzZzs2uQqGA/Pr5uCVuWZxPi/9Ga6f57w+xh5xxN44dQGSUEuyewOuwLpPuX4TaP8YfZufI2zo9eoGG8EW8XL0pCS1gbtlp0do4gCDRNyNnTf40zw214OruyMXox22MLSRRBy0JnNnFE3sFuaRN1agVRXn48mbqQHYm5xDlwtHNEp+VQp4T9knY61KNE+fqyNT2TLeni6HTBbOdqb10b+xvaUL3NSa8yOw0PkTpXgiDQ2jfMnovNnLzZiZOTExsKM3j1k+vJjJu/JsIDiAdBEFAaWmkeP0jP9EXcnL3J9t9AXsBm/NzmN3qtNCg5N3KBS+orGG1GFgcu4tHYR0j3TRO9yDdqnOLAYC0Hbo0+LA1JEU0f0GKzcV4pZY+shRpFN65OzlTFZfDtxeUUOXC0U6XVcrhLwsHODtpGR4jw9nlr9CEjJFSU93zO7GFvXSv1/Uoi/X15vCifhxZlExUgnqvPyISW/Zda2H+5lZEJLcsy4/mnz26mODdRFJb1A9gPU6ZhmicO0z55nBmrlmTflawMfYZor/x5fUatgpWWyVYujF6iYbwRD2cPVoYsZ01oCTFe9m9Uvx2CINAy0c/+gVpOD7cAUB6Ry0tZW0RxDJ4TQT7Y10bT2BDBHl5sis/knxM2URBsf0Hgd2NOBPlgZwfVXZ1ojIa38qmNqemiMAHn1m1XjrC3vo3qZgk6k4mS1ET+7YktlKQliPbd1xtNHL/Zyd6LzXT0j5AQEcRzm1ewaWkmAT6OaxDeT/hIFnaGDRIax/fRPXUBNydPsgOq7HLYkevknFad4ZrmBoIgUBi0mI/FP06qjzizlm/HgG6MA4O1HB68ybTFyOqwLF5LW8fioCS7rz1jtXBqsJs3exq5PNxHkIcXOxJzeSQ5jxQH2gUPTE6+ddjp1owR7x/Ak7n5bEvPIj4gQJQ1R6a1HGxoZ299G/KxCbKjwnhpfQkbc9PxE0mYFECqVHPkegeHr7YzoTVQnJvIr7+wjeVZCfc0/qCzmOiaGL3tddXk2Hy2+wBvg9aspmH6NC0TRzBap0jxXUVx2GeJ8syd13dzyjzF2ZHznB+9wJhJQ5pvqsOcZrRmI8eHGtk3cIOe6WEy/KJ4OXsr6yLz7N65mhNef7OniSPyDsw2KxUxafyhdBUrwxMcIhAIoDWZODVHRR6Q4+XqStUtR6vC6BhRkrwZs4XTH0Lnalxr4OTNTg5eaUMyMEJKdAgv7ljNhqKMv9KzuBtYbLY7xhsAo9Vyr9t9gLfBYjPRPnGexvH9jM70EOaRRlnkV0nzXTOvbrnFZqFWc5OakbN0a3sIcQumMqKC1aHFBLgF2O8PeA/MjXceHKzl/EgHvi4ebI5ZwkOxRUR72b9zLZsaY4+0hb29LYwYtBSFxfLjog1siMvA29Ux4z9TMzOckHZzuFMyK7p+K978w6rVLI0Rp6gkCAJNg8Psq58dJzdbrZRlJPNfH3+IZUmxosVas8XKlbY+Dl1r50KzFF9Pd7asyOahVXn3PP4wZtQxeYeYozbo7nG3D/B2CIJAv66epvH9yLTX8HYJIi9wKzn+VfNmIM/pA15SX2bCPEm6bxrPJH2KwqDForNz1DPTnFA2cVhxE5l2hFTfSL6SsYH1kQV21+vSW0ycGujmQF8rF4dmRZDX3XLRWxmR4JCJh64xNYc6JRzukjAwNUlyYBCfKFjElvQM4vwDRFt3XGfgcHMH++ra6FSpSQgO5DMlhWwpyCTMVxxnZptNoEmm5OiNDo7XdmKyWClfmMqLD69mUcq9Nea15pk7nnH6pjTz2bJD8ZEr7OyWv4BG6CbEPZnSiK+Q7leKi9O9M0vMNjM3x+upUZ2hW9tDlEckO2MeZkXIMtGFAk02C+dV7RwYrKV2TEqYux8Pxy1jW2whYR72p451TYyyS9rEvt5WJk1GSiIT+feShyiNTsFVJNX3d2NUr+NYdxeHOjuoHx4iwMODqtR0/rFsnSgiyDBLRzzf2cve+lYudvfh7ebGpvwM/uXRjWRGijf6MKSZ4kRtJ8dqJXQr1EQE+vLQqly2r8ohMmh+HbNGtZI/Vf/Xba9bxqfmdf8H+Av+V/YJfLz8yQnYSG7AZnxd753RIQgCUp2MGtUZbmhu4u7kRnHoKlaHljhkrrxtcpD9Azc4NdyMIAiUReTySvZ2svxj7P7dG5/Rc6C3jTd7muicHCXVP4QX84vZlpBDkIN0LGYsFs729XK4S8KZXhlWwUZxXAK/rNxIeVKy3e2C59CmVLGvvo0jTbOdq+LUBId0rs41Szle28m1djkuLk6ULUzlG4+uJS9pfrFVbdRReYd4A6B8n8LPA9wd/iD7ODYXPSm+JayN+PK8x600Jg3nRi5wbvQCU+YpFgUu5GtpL5DtnyW6MOmwYYLDijoOD9YxbJwgPyCe7+TuoDQ8B3dn+xavdWYTR/sl7JI2cXN0kAhPXx5OyuOR5FyHjD0AGC1mzvTKONQl4VxfL4IgsDo+kV+t30hpov1F1+eg1uo43CRhb10r0lENKWHBfKlsBVvzM0Uze7DZBBp6FByrlXC6vosp/QyLU2P4/scrKV+Yits8WYh7ZS38P2X7ba9PdN3k8ZCUea3xAPDnvufQLlAQ5ZlDVdS3SPJdifOCe/9vZxWsNE20cHbkHC2Trfi5+lEcspKS0FWEe4jLEjVazVwYaeeoooFr6m48nd0oj8zlO7kPk+lnXyb+rAhyHwd6Z4XXZ6wWiiMT+cWKzVTEpDlEBFkxNcXhLgmHuiRI1KNEePuwKS2dremZZIkkggyzY5aXpXL21bVytlOGq7OzqDblMHt+7Roc5fjNTk7c7GRYM01yZDCf3biMTcuyCJwnO+e6qp9/u8MZxzQwPK/7OxIfucKOj0swpZGfm3e3fGxm7Fa3/CLTlmkWBS7kpfSvkuWX6RB2zv7BG1Qr6pm85TTzz4ueYnlImt2pyFrzDEfkHeySNtGgVhLt7c8n0pfwcFIeUd7i0XHfjnd3rjxuiXZ9vnAZq+LicRMp0ekaVrO/oY3DTRLGdHqWJcXy0x3rKctMEW30YVxroKa+i2O1nTT0KPDzcqd8URov7VzLwpRou4mTFoRE8YuNz9z2umpomHX8q13W+nvHmvAvkxe2fl7d8hnrDFfHrnNm5CxyfT9xXrE8Ff8Ey4OXiW7j+W52TrJPOF9Iq2RD1EK7W5XbBIHLw33skjZxcqALFycnNsVn8Y/LNjiEhgyzB66rg/0c6pRwQtqNzmSiKDqG76xey/rkVFFEkAE0Oj1HmiXsr29HMjxKfHAAzxQXsrUgkzA/cTpXZouVK+19nKjt5FyzFLPFyvKsBL738XWsyUu2mzhpiIc3f75DvAHY8c+77LLW3zuy/TewJOKheXXLBUGgY1pCjeoM9eONeLt4szq0mNKwNQS7i6snY7FZuTTayYGBG1xVdxPg5sXGqEVsiVlsd6tyQRCoVyvYJX0nG/D3ax9lVYRj2IBmq5UrA/0c6pJwUtqNwWJhWUws319TxvrkVPzvwnHoXte90NXH/vo2znf14uHqwsa8dH78UCW50eGiJVedg6Mcr5Vw4mYnqnEtqdEhfGJdIeuWpBMVbL8z5Y6kXB5duOK21/+9Y5oZzYTd1vt7RYRHBkWR3ybUY35FMo1pnAujFzk/egGNaZxsvyy+kPIcCwMKRNUHtAk2GsflHFU2UDPcgtFqZllIKj/I30lJWBYediwgz4kgH+hr49AtEeSC4CheKljDxvhMQjzEl1MY0+s52jPbHK8bUuLv7sGGlFS+KyLzeA696nH217dxsLGdkWkdi+Oj+f6WctZlp4pm9tA/Ms7x2k6O3+ykb1hDZJAfGwozqFySTmp0iN3i3NLwOH608fHbXu9q7+DZX++xy1pi4yNX2NkQ/a27sua7HXqmezg2fJK68Xr8XH1ZE1bCmtDVBLuL29HRW2Y4o2qjWlFPnUZGmLsfO2KXsjVmCeF2dpqxCQI3RvrZI2vhWL8Ei81GZWwaL+aVsCIiwSFz5RNGAzW9Mk70dHOhvw8EWJ2QwL9WVlGWmIynSKJdY1o91S0SDjR00DE0QkygH48V5bF9YRbRIrk+TOqMnG3q4XRdNzck/bg4O1Gcl8S/PLeFFdkJuIogTujt4kZawO2ZIz56s93X/HtFVsC6ey7qaEzjnFbVcHbkPCabicKgJTwV/yQpPsmiFjlsgo06TS/VinrOqFoRBIHyiDxeztpKrghz5fLpcfbKWtjX24pCN8miW1pdG+Mz8HGAVpfZauXa4ADHpd2clPYwZtCTExbOl4uWszE1nUhfcYRgTRYL5zp7OdTYwfmuXtxcZjtXr2xcw2KRtLrMViu1nQOcruvmTGM3U/oZ8pMief6hEioWpRLoa382lIuT0x3jDYCHg9zL/taxLPRpPO5xVMBkM3NFfZUTqlMoDUpSfFL4TNKnKQxaLPp4p3RaRbWynuPKxlntnOBUflzwGCVhmbjaObFT6afZ39vKHlkL0qkx0gNC+Vr+arYlZhPoLj4b0GKzcUMxSHV3Jyd6utEYDRSER/LV5avYmJpOqLd4CV6XSs3++r80rJYmxvLDbRVUZqeKIkosCAI9yjFO13dxqq6LPtU4kUF+VBVlsqEwg5Roccb3gz28Cb9DzAnx9EbBhChr/z2hLPKFeeVUUq2M48Mnuampw8vFi+JbzlYRIrNz+nVqjikbOKpsZMgwTqpvJM8kl1EZlW938fXhW/Fm7614E+9gEeQ5R6tDXR1clPfh5uxMeVIKzy0pojguQbTmOIDeZOZkWxd76lqpkysJ8/Vm28Isti/KJiFYnHFy5dgUp+q6OFnXSUf/CEG+XlQsTuO7H6uYN/v4dvBxdb/jGcfkp7L7mmLh7+IkZhNs1I83cGz4JD3aHhK9E3g26RkKg5aIWkm2CjbqNDKOKho4q2rDbLOyMjSdny96ihUisHMUukn2ylrYI2thQDtBTlCEQw87ozodJ2U9HO/p4trgAE4LFrAiNp4frCmjUsTO1YzZwtlOGQcb27nYPWvjV5mdyssbSlgSHyOKhe/4tJ5zTVJON3RTKxlggdMCVmTF271TLgjCA8eajyD69QMcHzrJNc11fFy8WR+xjrVhq/FzFZclJ9eOclTZwDFlI8PGCTL8okVj5+gtJo71S9gtbeH6SD+hHt5sTcxmZ3I+qQ7Q6jJazFyUyzkh7eZ0r5SpmRkyQ0J5Or+AjanpJAWKc+Ca07E42NjOsZYupoxGlibG8qPtFVRkpeIlQnJlMlu4LumnpqGH881SJnVGMuPCROmUP8BHD9Pmac6MnOO06gw6q47lwct4LukZ0d07x01aTiqbqVbWI5lSEuERwOboxWyJWWJ37RyT1coZRQ+7pU2cG5Lh4+rOlvhMfrFiM7lBEaL/Tlrnijk9XZzo6WbMoCczJJRPLlzEptQM0XQBYVbHorpFwv6GdtqVI0QHzDasti3MEsWmXBAEuhVqTtd3c7qhm75hDaH+3pQvSuW7T68jL9F+ydWDM85HDzbBRuNEE8eGT9A13U28VxzPJH2SwqBC3EQsII+btJwaauGYsoG2yUGC3X2pjMynKmohaX72HWWfsVo4NdDFblkzl4b78HV1Z3N8Jv+0fKND2Me3c7T6p4oNVCQl4y2CQ/AcBEGgeXCYffVtVLd0YrJYWJuexG+f2sbKlHhRmJDqSR2n67s4cbOTJtkQvp7ulC5M4UvbVrEkLRYXZ/usabXacLbTve5X/E0Xdkw2E5fUVzg+dALVzAgFAfl8M+Ml0Z0ferUjHFU0cGyokRHjJFn+MXw+bR2VkfkEuNm3k/NuIeRAd0+2JebwcFIemYHi6cfMQaXVclzaxdHuLm4qFXi4uLA6PpGfr9vA2oQk/NzF6dYLgkB9v5KDje0cb+1GN2NieXIcP95eSXlWiijJlXpSx5nGHk7Xd1PfPYiLsxMrshP4ztMVrM5LxvceRElvB73BxJGaFvYdb+SNf/u03e77AOJBEATapzo4OnSc1qk2ojyj+ETCUywLXibqYWfCpOf0cDNHFQ20Tg4Q6u7H+qgCqqIKSPadn6D8u/F2IeRqeQdGq4XymFT+a/XDrI5KFl0k0Ggxc66vj6M9nZztlaEzm1kcGcUXC5exLjlFVJFAxfgkh5okHGxsRz42QVJIEJ9auZhN+RmiuMzMmC1caevjdEM3F5tlaI0msuPD+XjFEsoXpRITGmC3tWw2gav1Mt48fJNfff9Ru933AcTFiHGU48MnuKi+jMsCF0rD1lAeXkqgm3jC3CabhcsjEqqVDVwe7cTNyYXS8By+lL6BxUGJdtft6ZlU80ZPE/t7WxifMbAyIoF/XbGFdbFpuIvMErMJAnVDCo50dXKspwu1Xk9GSCifKFjIhpQ00YrH8JdRqwMN7ZzvmtWxWJedykuVJRQm2L9hJQgCHf2qt4o5g6OThAf6UFqQyrefLCc/Kcqua/YOqNl1pA7NhJ6ffnO73e77AOLBbDNzWX2FY8MnGDaqyPfP5eWMr5Phmy5aTmW0mrgw0sExZSPX1N24ObmwJjybz6aUUxicbNcGuSAItGiG2S1t5pC8Ha15hpLIRH61civlMamix5sPy9FqDhqdnkO3tLp6RsZIDg3ii2uXsTk/k2Af+689oTVQ09DNiZtd1HUP4Onmyur8ZD5RWciKLPtOO6g1WvYea+DYuTYO/Odzdrvv/Yi/ycKO1qKlRnWWU6oaDFYDK0NW8HzEl0UVJ1XoNZwaaubUcAvd00OEefhTFVXAhqiFotgGt2mG2S1r5mBvG1PmGVZHJvFa8awQspi0PPhLMae6u4s6pQJPV1dKE5P4TdUWVscniDZmBaCa0nKgoZ199W30ayZICQvm2dVFbMrLIFwEHYvxW4Hn5M0u6rsHcXN1ZlVOIq9+agOrchLxthMzZw7TOiN7quvZVV2PyWShqjTHrve/HXbt2sWNGzfQ6/U89thjlJSUvOP6L3/5SzQaDUqlkhdeeIGsrPkJev4twSpYuampo3roOHK9nEzfDF5Me548/xzRDjtas5HzI+2cHm7hmroblwXOrA3P5tnUcpYEJ+Ns5+Rq1KBlf28be2TNdE+qSfMP4fm8YrYl5hAsshDyW8Wc7k7O9MkwmM0URsXw9RXFVCanEu4jjn4NgNFs4VR7N/vq27gmGyDQy5ONeen8/JFMsqPsr2Nhtli52iHn5M1OzjfL0BlN5CdF8tlNyyktSLE7M8dqtXHuWhe/332V3oExivIT7Hr/O+FBzLl39Or6ODZ0nBuamwS7BfFIzA5KQlfh4SwOK9Zis3JTI+PUUDNnVW3oLDMsCU7i2zk7WBOehZeLfRs4UyYjR+Qd7JE106BWEuXlx9Npi9mRlEeMjzgj1XOYS66quzs51t3FsE5LSmAQT+bmsyk1neQgcTWKulVq9tW3caipA43OQFFiDD/YWk5Flv11LOaYOSfrujh5s5NB9SSRQX6UL0qlbGEqOQkRdi8gdclU/H7PNS5c7yYmMpBHNy226/1vhwfx5t6hs+g5O3KOk6rTaC1aVgYv58upXyTaM0qU9ebizXFlI+dUbRitZopCUvhu7sOsDsvC08W+34Mxo56Dfa3skjbTOTFKkl8Qn8taxvbEHMK9xBnjfjt6J8Y5IGnnoKSDfgc6WsEsE/FSzzuFkDfmpfPDbRXkx9ifCWmYMXO+WcqxWglX2+Q4Oy+gODeJnz2ziZU5iXi42XlsVz3F/+2/wZHTLXh7ubG9ssCu978dPsx484HfQaPROK95TDExbhrn6NAJzo9ewHmBE6Vha6kILxPNylNlmOD0cAunhltonxzEz9WTsvAcns+oYlFQot2TqzmXmT2yFtrHVST4BvLpzCIeSswVXQh5VK/jeE831V2d1CoH8XJ1pSwpmU9vnC3miOX2ALM6FmclMvY1tHOpuw9fDzc252eyfWE2mZGhdg8803ojZxqlnKzrfEszZ1VOIv/46SpW5STi6S4CG2hcy57qevafaGQBC3hk4yIe3rgIf19xhF7fjqmpKX7yk59QV1eH0WiksLCQ5uZmnG6xL6RSKdXV1Zw8eRK5XM7HP/5xzp07J/q+4P6ON2abmQujlzg2fBz1zBhLAhfx8YSPkeyTJMp6BouJS6MSTg41c1XdhVWwsSwklW/n7KAkPBMfF/u+T2ablbMKKbtlzZxV9ODl4sam+Ex+uqxKdCryjMXCeXkv1d1d1PRKMZjNFEXH8NKKYtanpBLmLV4xRxAEWhSzrlZHWzrRm0ysTkvk149vpiQtETc7a2ZZrDZqOwc4WdfJ2cYepvQz5CZG8tym5ZQvSiU80P4HS5PZwskLHbx+sJZ+pYa1y9P57vObSEm4d8e3D4L7Nebcz/FmThD5sLKa9qkO4rxi+WzSMxSJNFJuFWw0jfdxaqiFM6pWxk06Mvyi+VTyWioickXRBrymkrNL2szxgU4EQWB9bDrP5xWzMlxcIWRBEGgeUXG0u5Pq7k6U09PE+wewIyubqtR0MoLtJ9L5XpgyGDna0sn+hnaaB4eJCvDjiaJ8tomkDdg3rOFk3ezYQ++whvBAHyoWpbFuSTrZ8fYvWAuCQFP7IH8+WMuVOhmpiWG8+vUtFBelijIq/27cr/EG7u+YM2me5PjQSc6MnANgbdhq1kWUE+Rmf6aaIAi0Tw5yYqiJk0PNaExasvxjeC61gvLIPLvr5lhtNi4MydglbaZGMcsE2hSfyatF61kUIo4+3tuhMeg50tXJAUkHjaohQry82JyWwbaMLHJEdLSag3xsgv0NbRxoaEc1pWVJQjQ/2FrOuuw0u088mK1Wrnf0c+yGhLNNPZgtVpZmxPOdpytYk5eMjx2nHebQr9Dw+qFajp9rJ9Dfiy99cg0b1+bgLkL+9m582PHmrk8Dv/vd7/iP//gPent739ro008/zeOPP463iEJxd4PRGTXHhk5wYfQC3i4+bI/eypqwEjyd7Z8UjxqnOKNq5fRQC00TcnxcPFgdlsWzItACYc5Sr5dd0mZOD3bj4uREVVwG311SQWGo/S2K345RnY7j0m6O93RxXTGIu7MzZYnJvOaAYg5Ax9AIe+vaONIsYcpoZEVyPP/0yAbKMpJxt7OrlcFk5lyjlBM3O7naIQdgRVY8P/j4ekrykuzOzJnD24OPt5cbj28tZMeGhfh63/mHXmcy0TWmvu11lUYDzB4a3g4XFxdc3mXxfP36ddLTZ6m0np6eeHt7I5VKSU1NBeDMmTMsXjzbVYuPj0cikWAymXATccb3fo43M9YZzo9e5OjQcaYt0xSHrGRDZKUoVp5Gq5mro52cGm7h0qgEk9XCkuBkvp61hTVhWfi72Z8t0zUxyh5ZC/t6Wxgz6lkZkcDPl2+iMjZdVAvPuWLOsZ5uamRStGYTS6KieWlFMRtS0kQVJIVZy+BDjR3sq29DOqohKSSIZ1cXsSU/k1Bf+65tswk0SBWcqO2kpqGbca2BzLgwPllZRMXiNNE0c7S6GQ6eamLXkTompgxUFGfw6ktbSYi5MwvBYrPdMd4AGC0WrFbrRzLm3M/xRhAEWiZbOaQ8Qre2h0zfDL6W/gI5ftl2//23CTZaJwY5PdxMzXArozNTJPuEszN+Oesi8on1tj9bZVA7wb7eVnZLmxnUTZIXHMm3FpWxJSELPzfxEl5BEGgfHaG6u4uj3Z30T00S6+fPlrRMNqWlkxli/6bR22GzCVyV9bOvvo3THT0sACqyUnmhYiVFCbF2L3gMaaY4UTtrFdw5OEqwnxfli9L49sfKyUu075jVHKxWG5dqe/jTgVrau4fIzYjmJy9vZ+WSpPd9b8f0eibvEHPUeh02m+0jGW/g/o45GpOGY0MnOTd6Hg8nD7ZEbWRN2Bq8Xex/3ujTjnBiqIkTQ00M6jXEegXzUGwRlVEFxHvbX6tPPj3Obmkze2UtDBumWRIaw4+LNlAVn4GXnZlA74bBbKamV8rBzg7Oy/twdXKiMjmV55etYEVsnOij7LNCyLMM5Nq+QUJ9vdlWkMVDi+0vhCwIAs29Qxy7IeFUXRfjWgN5SZF8eXsx6xalEeQnDtO7tVPJnw7c4FJtD9ERgbzwTBnr12Th9j45o/Z9cqq+iXHgo5FT3XV2bDabqa+vB0Aul/PSSy9RU1PDD3/4Q37+85/zyCOP2GVDHwRSrYxjwye4qakj0C2Qx+MepTi02O56FsOGCc6q2jgz3ErzRD+ezq4Uh2XyVFIJy0JScROhW9Y+rmJ/bysHe9sYNepYHBLND4sqqYoT12VGpdVyQtrN0e4uapWDeLi4UJqYxK/Wb2RtQpKoY1YAkwYj1c2d7G9oo1WhIi4ogE+sWMTWhVlE+tu3Ym+zCdT3DHL4Wjs19d3MmC0szYjnlSfKWJufjK+XOIdKQRBo6VTy+sHa2eATHsBXPl3KhtVZd11Nbhwe4s9/+sNtr1smJ7FYLHi+y9r5u9/9Lt/73vfe8ZharcbnbeMsvr6+qNXqt4LQu6/7+PgwNjZGZKR4o433Y7wZN41zSnWGcyPnMNnMrAkroSpyA0F21rPQW2a4PNrJGVUrV0a7MFrNLAxM4MvpGygNzyHI3f5sFbVRx+G+dvb1ttKqGSbKy4+PpS5iR1IusT4Bdl9vDgazmYv9fRzt6aJGJn1LM+f5ZSuoSk0jwkdcGrTFauNSTx/76ts4K5Hh4epCVW46P9q+ThQacv/IBNXX26m+3oFybIqUqGAeL13IusXpxIUF2HWtt2NkbJo91fUcONkEwNaKPB7ZtJiw4Lt7f9V6HevvEG8AFGNq/vznP1NVVfWOxz8KMed+jDdmm5mrY9c4PnwShUFJjl82r2S+TJpvql3XsQo2msflnFG1cna4jZGZKeK8Qtgas4TyyFySfOxfsNaZZ4XX9/a2cE3VT7C7F9sSc3gkOY/093Ffmw8EQaBLM0Z1VydHujvpmxgnyteXjanpVKWmkxcmjk3426GcmHprnFwxMUVeTAT/ULWGDTlp+Hna98yhN5qoaejmyPUObnYN4OflQdnCVF58eDWLUqNFY0HNzJg5dr6dNw/fZEA5TnFhCq+9+jh5GdF3fY+9HW38T0/nba9PNDWQrFI/OOPYEX06OceHT3BDcxMfFx8ejnmINaEluDvbN+dQ6DWcHm7h5FAz3dNDhLj7UhGRR2VUPpl+9mfLGCzmWaMHWTPXVLNGDzuScnkkOY8kP3FHKy02G1cH+jnY2cEJaTcGi4VVsfH8tKySdckpooogw63R0n4l+xvaOdbaxYzZwtqMJP79Y1tZlZJgN1HiOfSPjFN9vYNjtRIGRydJiAji8bULWV+YblddwLfDZhO4UifjjUO1NLYPkpkawY++toVVhSl3LZR8fXCA39zhjGNSDjE9Pf2RiDd3XZHQ6XRMTEwQEBBAfHw8ixYt4hvf+AZjY2P86Ec/Qq/X8/GPf9wum7oTBEGgZaKVI0NHkUx3Eu8VL4rDlUKv4YyqlTPDrbRNDuLt4k5xaCZPJK5ieUgaHs72L3CMGLQc7Gtjn6wVycQIsT4BPJ5awLaEHBL9xBPp65+c4IS0mxM93dQPD+Hp4kJZYjL/VrWZNfGJohdzrDYb12QDb3WunBYsoCIrha9XFlOYYH9Wklw1zpFr7VTf6GBYM01GbBif37KC9UsyRKsiw2z36sKNbl4/eJP27iEyUyL4wVc3U1KU+oFV2gsiIvnFk7f/vqmGhln3439ienr6HY+/u7IMEBISglarfevf09PThISEvOO6TCZ7699arZbgYHF/DO+XeAOgMqqoGTrHZfUVvJy9qIxYx9qwNfi52q/ooLUYuTQioWa4lWvqLsw2KwuDEvlS+nrWhGUR4iGCOO8t4fX9shbOD8nwcHalKi6Df1hYytLwOJxESnCmZmY42yfjRE835+W9GC0WFkdF87UVq1ifnCaqZs4cZKOat3QsRqd1LEmI5ofbyqnMTrO7ZfC03sjJui6OXGunSTZEiJ8XG4oy2bg0k7QYcUefumQq3jh8k5rLnQT4evLUQ0vZVpn/vozAdyPEy5s/3yHeAOz4n//jiSee4D//8z/f8fhHIebcT/HGYDVwdug8x4dPMm2ZZlnQUp5N+gzx3nF2W8Mq2GjU9FGjauGsqp2xmWkSvUPZHLOY0ogcUnzsX9S0CQLXVf3skc2OWpltVsqiU/nd6odZE5WEq53Zzm9H15iao7eYOT3jGsK9fahKTWNT6noKIsSxz307ZswWaiRS9tW3cUUqJ8DTky0FmexYlE1quH1ZCTabQG3XANXX2qlpnB17KM5J5Oef3cyqnES7CpK+G+OTOvYdb2T/8UZ0ehPrSjL5yTe2Ef8+jMD3wo7MbB5duuy21/9dNYZhTMPFixff8fhHId7A/RNz5kwfjiiP0jbVTqxnDJ9MeJplwUtxtWOTfMQ4yenhFk4PtdA6OYC/qxelETm8kFHFQhGkK+aEkN/saeKwvB2DxUxpdIpDjB7mRjsPdnZwpEuCWq8nLzyCF5evYlNquujsY4ChyWkONXawv6EN+dgEqWHBfLF0OZvzMuwuhDyuNXDiZidHr3fQ2jdMsJ8XlUvSqSrKJDNOvLGyuQLyrsN19Cs1LF2YwK++v5OF2bEfeM2lMbH86InHb3u9q6ODZ//4OiMjI+94/H6MN3ddCfnMZz7Dxz72MeLj4/nkJz/51psWHBzMv/zLv/DLX/7Sbpu6E37Y/ioK6xDZflm8lP5Vsvwy7fahURkmODXcwqmhZjqmFPi5elISlsmnk0spCkkRhZkzZ6m3R9bCxeFevF3c2BifyQ8K17FExFGr/skJDndJONrdRYd6FD93d8oTk3l2cRHF8fGij1nBrRnP+jYONrYzPKUlPzaSVzauZUNOGr4e9u0Q6I0mTtzs5ODVNpplQ4T4e1NVlMGmpVmkRItrzTytM3LsbBu7q+sZHp1k1ZIUfvPDx8jLvPfOhLebG2nBt9+3z4wJ4K5mt5cuXco3vvENBEHAaDSi0+lISkpiYGCA2NhYSktL2b17NzDbWcrIyBCVogz3T7wB+FbLdwn3i+DJ+MdZFbICNyf7/O0Gy6zbw6nhZq6pu7EKNpYEJfPVzM2sDs8k0M3+BQ5BEGhQK9gja+GIvAOdxcSqiAT+eflm1sWmiTZqNTUzw0lpN9XdXVwZkCMAy6Jj+YfiNVQkJYuqmTOHaeMM1c0SDjR20DQwRISfDzsW5bB9URZxQQF2XctmE6jt7Gf/5VbONUkBWFuQwjMblrI0M97uXbK3w2q1cbVexu7qeupa+kmKC+Gl5yqoKM58Xzry7eDi5HTHeAPg4eKCs7PzRzLm3E/x5qWmf2CB2wLWhq2mMqLCbnoWNsFG07icU8PNnBluQ2PSkuITwcOxS1kbkS0KMwdgQDvBHlkze2WtKHST5ARF8FLBGjbHZxEkovC6bFzz1hmnWzNGmLc3G1LSeLWsgsWR0aIVrucgCAJtShV769s41tLJtNFEcWoC//roJtakJ9ldq0s5NsmBy20cudbO8Pg0WfHhfGnbKiqXpBPoI65Wn1Q+yt5jDRw/346Hmwvb1xfw0PqFBAfeewIb7OVF+B1iToiXN4rxiY9kvIH7J+a82vETBiyDZPim87W0F8jxt9+I57hJS81wKyeHmmkal+Pl4saasGw+k1IminQFzGqRHuxrZ5e0iY7xEZL9gvlizkq2J+YQ6iluQWUu5hzslNA3MU68fwBP5OSzJT1DVAe9OehmTJxq7+FwUwdXZf34eXiwOT+Df96ZRVakfQssJrOFiy29HLnezuXWPlxcnCgtSOG5zcspSo8T9YwzMjbN4VPN7D/xlwLyj76+haS4e8/lfN4npzIFzDLzPwrx5q5PeYGBgRw8eJDXXnuNhx56CJ1OR0dHBwUFBXh7e6NQKOy2qTsh1D2UzyQ8Q6JPgl3uN2nSUzPcwomhJhrG+/Bx8WBteDbPpVawJDgJVxGKOYIg0KwZYre0mcPyDrTmGYojEvnlii2Ux6SKVlQZ0Wmp7u7icKeERtUQQR6eVKak8vKqEpZFx+IqspsWzLrMnGzrZm99Kzd6Z2c8txZksq0gi+Qw+3dIOgdG2HephaM3JJgsVkoLUvhM1TKWZogbeAC6+0bYd6yRUxfbAVi/OpudmxcTFyV+gP8g8PPz4+WXX+bFF19Er9fzm9/8ht7eXp588kmuX79OcnIyGzdu5JVXXmF4eJjXXntN9D3dL/EG4NNJn6I4aiXOC+b//bDYrFxTd3NiqInzI+2YbVaWBM1q5qwOyyJABM0cAJV+mr2yFvbIWuid1pDqH8IXclawLSFbNNcHo8XM2b5eDnVKONsnQxAEiuMS+HHZOsoSkwjwEF8YXBAE6uQK9tS1cqKtG0EQqMhK5Uuly1mWFGv3UQTNlJ5D19rYd6mFwdFJ8pIieenRtVQsShVttHMO45N6jtS0cOBEIyr1NIX58fzzt3ZQVJAgOiPhg+J+izn3U7wpDy9lY9wGfFznX+wUBIEe7TDHlU2cHGpCZZwk0SeMR+KWURaRQ4IIjp0wO/pwfKCT3dJmrqrkBHt4sS0hh4eTcskIFGdNgGHtNEe6OjncJaFlREWwpxdVqWn8cG05iyOjRBVgnsO43sDhpg721bXRqVKTGBLIp1cVsrUgkzA7O3eaLVYuNMvYd7mFax1ygn292Lgsi83LskiKFJdxYjZbOX+9m/3HG2nqGCQmMpAvfnw1G9Zk4ymSJuG94n6LN3D/xJwAtwA+kfoUKb4pdrmf1mLknKqdk0NN1I5JcXVypiQ0k58tfJJlIam4izDtYLXZuPQuLdKNcZn8sLBSdCHkuZhzqEtC64iKEC8vNqWms3XdBvLC7c98fDcsVhtXpHION0mo6ejBbLVRnJrAv+zcyNqMJNzeg1Fyr5jTzam+1sHJuk6mDTMUpcfxnacrKM1PwUvE773NJlDb1MeBE01crpPi5+PBlop8dmyYXwFZDHzY8WaBIAjCB32RzWbj5s2b1NfXMzk5SXJyMtu2bXtPSpK9YDQa8fT0xGAwzFtB3mg1cXFEwnFlI1fV3TgvWEBxWCbrIvNZEZomCjMHZi31DtwSCeycHCXZL5iHk/LYnihecjVpNHJc2s3hLgnXBgfwdHFhXXIqW9IyWBEb55BiDkC7coS99a0cbpJgMJlZnZ7IjsU5FIsw46m7xc7Zf6mFNrmK+LBAHirOZdOyLNE7V2azlXPXuth3rIGWTiVxUUFsX1/A+jVZH3j84XZ47rnniI+P55vf/OZtn6NUKklOTsZgMNhlzQ8TH0a8AfvFHEEQaJ7o57iykdPDLUya9eQFxLEuMp/yiFxRNHMATFYrZxQ97JY2cW5Ihq+rO5vjs3gkOY/cIHEOHBabjSsD/Rzq7OCktAed2cSymDi2pKVTmZLqkGIOzAohH2hoZ29dG31j42RGhrFjcTab8jLwt7OOhc0mcKOzn32XWjjXKMXD3ZWNSzPZsSpXdDYgQFvXEPuONXDmSifubi5UleawrTLfbgXkY8eO8f3vf59r167d8XmFhYW8+uqrrFu3zi7rflj4qMcbAKV+nJNDTRwfakSmHSHCI4B1kXmsjyogxTfCTjt+JwRBoGlsrmH1l9GHh5PzRB21GjcYONbTxeEuCTcUg3i7uVGZnMqW9AyWx4gvSAqzieUVaT/76lqpkchwdXZifU4aDy/OoSDW/qNevcMaDlxu5ci1diZ0BpZmxLOjOJeSvCTRz3SjY9McPNnEodPNTEwZWLk4me3rC1iSF283AWY3NzcGBgYID789i+zVV19FoVA4pAgjNj7qOdWM1czl0U5ODDVxebQTmyCwPCSVdZH5lIRl2t2efA590xp2S1vY9zYh5J3J+VTFZeDtKl6RYcJo4HjPX/Iqbzc31qeksiUtk2UxsaLHnDnnziNNHRxt6WJMp6cgNpLN+ZlsyEkj0Nu+5yzl2CTV1zs4cq2DgdEJEiOC2LQsk6qiTFFcO9+O8Ukd1WdaOXiymaGRSQqyYthWWUDJ0pR7ZiC/Gzt37qSsrIxnn332ts9pbW2lsrLSoU2ee8U9vStOTk4UFRVRVFRk7/2Iis4pJfv6r3NyqBmD1URhcAqv5GxndXiW3a2C5zBXSX5T2szpwa63LPV+vHQ9C0WqJM9YLJyT97Jf0s653l4A1iQm8qv1GylNTHLImBXMjj4cbelk180W2pUjxAcH8NmSQrYWZNndZQagW6Fmz4Umqq93YLbaKF+YyvMPlbAoVXzrQqVqgiM1rVSfaWF8Us/KJcn863cfYXFu3LzW1ulm8PYWTyz7o4CParwZm5nm8GAdBwdvojBoSPQJ44mEVayLzCPaSzzWVs+kmjelTeyXtaKZ0bMqcpYNWBGbhruzOAzElhEVByTtHO6SMGYwkB8ewfPLVrAxNd0hmjnwl+Rq980WzkpkeLq5sikvg5/v3EB2lP3HTMa1Bg5daWPvxWYG1ZPkJ0XynacqKFuUanednndDbzBRc1nCwZNNSKQqUhJCefEzZZSvyphXt9xiseIiogbHRwEf1Xhjslk4p2pjX/8N6sd78Xf1ojwil5ezt5EXEIeTnTUs5qAx6jnQ18quntmGVYpfMF/KXcm2BPFGH+bcZQ5IOrjQ34fzAidKE5P4TdUW1iYk4i5yEW4O/ZoJ9tW3cbBhdpx8UVwU391cyvqcNLzd7ZtYmswWzjT2sPtCMw09CiICfXlkdT5blmeL5qI3B5tN4GaznEOnm7l4owdfb3c2l+extSKPiLD52bE/OON8dGNO55SS/QM3ODHUhN5iYlFQIl/L3Mza8GxRHDsB9JZZ4fVd0mZujAwQ5unDjsRcHk7OFVUI2WgxUyOT3XK06mXBggWUJSY7NOb0ayY40iThcJOEvrFxEoIDeXxpPpvyMogPDrDrWjNmC2caeth/uYWbXYME+HiyoTCdjUuzRNXNgdlx8pvNcqrPtHLhRjcebq6sX5PF1nX5JMbOr1mm183g9Tcebxzz6/chwmg1cXqohX0DN2idHCDeO4RnUsqojMonxF28SuOgdoLdsmb2SFtQ6qdEt9QTBIG6ISX7Je0c7e5iasbI0uhYfrC2jPUpqfi5izsG8PZ91PYp2Fc/O/pgEwQqs1N5ecNqlsTbv8Bitlg509DDrgtNNPQoiA0N4NlNyx3CzrFYbVy5KeXAiSZqm/sI9Peiam0O29blz/uw0yUZ4tDem5w91Ub1uZfttOMHEBuCIFCv6WXfwHXOqtrxdHalKnohm6IXk+Yrnkinzmyiur+DN3uaqFcriPLy46m0RexIyiPGZ36fxdthcGqSg50dHJB0IB3XEO8fwFN5C9mSnkFCgH2dwu6EAc0E++rbOdDQxvCUlsXxUfxwWwWV2fYvsAiCQGvfMLvPN3Gyrgs3F2c2LstyGDunu3eE/ScaOXWxA4vFxuplqXzpE2vnpdcFoBnTUn2wnuoDDbxx6Ct23PEDiA2FXsOBgVoOKW4yadKzKiyDny96iuUhqaKMksOsEPKl4V529TRzarALVydnNsZn8o/LNlAQHCVKnLPabFxTDHBA0sGJnm70FjMrY+P4aVkl5UnJ+Lo75rCumzFxoq2b/Q1t3OxTEOLjxdaCLHYsyiYx1P4Fe+XYJHsvtnDgciuTOiOr85L49Re2sSwrXvTRMs2EjiM1LRw+3cLQyCS56VG8/Ll1lK7MwN3t3j9bJpOFC2c6OLj3Jlarjdf+36ftuOsHEBMGi4mTw83sH7hB++QgcV4hfCp5LZWR+YR5iHPWEASBerWC3dJmjsg7MNkslEWnii6E/F6OViti4ni1tIJ1yan4OSDmjGn1HGvt5HCThObBYYK8PanKTednD68nJ9r+Ln6yoTH2XWqh+noHWsMMJblJ/MtzW1iRkyA6G3B4ZJIjNS0cPdvGyNg0uRnRfP3ZCspWZuBxl47B7wVBEGhvHeTw3jouX+jk8Jlv2HHX9x/+Zgs7fdoR9g3UUq2ow2A1szY8iy+kVbIoKFG05MpktXJqsIs3ehq5PNxHkIcXOxJz2ZmcT7K/OJXk7rExDndJONTZQf/UJKlBwXx28RK2pmcS5StuF+ftGL6lwL63vo1+zQRZUWF8vbKEjXnpdh99AFCoJ9l3qYWDV9qY0BooyUviN196iKUZcXajA98OY+M6Dtc0c+hkMyNj0xQVJPCjr29l5eKkeXW75w47h/bepKNNQUJiKM99ucKOO38AsTBlNnBUUc++gRv06UbJ8o/hm9nbqIjMxcNZHErwnFbXGz1NHO5rx2SzsC4mnT+UrmJleIIoh36NQc+xnm4Od0q4oRwk0MODTWkZ/Ky80iHuMnMwmMyc7uhhX30b12QDoidXeqOJ4zc72XOhGcnACKnRIXx95xo2FGaIOlcOMGOycO5qF/tPNNJ6a7zzmcdWUrk6i4B5uPgJgkBbyyCH9t7k4tkOPL3c2bC5wH4bfwDRYLFZuTzayb6BG1xTdxPs7sOO2KVsjVlCuGeAaOsO6afYLW3mzZ4mlPopFodE88OiSjbGZYoy+iAIAm2jIxzq7OBwVycqnZacsHCeX7aCzWkZDnGXgVuMFbmCAw1tnGjrxmy1sjZdPMtgi9XG5dZe9l5q4XJbL8G+XjxcksdDq3JFH30QBIHmDgX7TzRy7loXHu6uVK3NYVNZ7szOxpUAAQAASURBVLzESQFGVJMc2V/PsUMNTE0bWFmSwdYdi+208wcQE93TQ+wfuMExRSMmm4W14dl8KW29qDmV2qhjn6yVXdImpFNjpPuH8mJ+MVsTcggWSXj9fnC00s2YON3RQ3VzJ1ekctxdXCjLSOYLa5exPNn+EhqGGTOn6rs4cLmVRqmSqGA/nixbxNbl2YQGiMu4tlisXK6TcfhUM9cbewnw82LD2mw2leYSFz2/s5zBYOLsyVYO7atD2q0iOTWczz3/0R4Vvxv8zRV2WicG+H/Ss1walRDpGcjTSavZFL2IYBHZOd2Tat7saeJA7+zow+qoJF4rfoiymBRR5sqV01Mc6erkYGcHHepRwr192JiazvaMTLJCxaXIvR1a4wwnbymwX+8dwM/DnU15mexYnE1mpP0FEq02G1fa+th9ofmtw872lTk8VJxLZJD4VOQbTX0cOtXM5ZtSvD3d2Fiaw7bKAqIjAuZ17+kpA4f313Fgdy2Tk3pWlmTw88+tJW9h/G3/W+pnTHSr1Le9p2pUM689PcDdQW2c4k99l9g7cJ0FLGB9ZD4/yNtJhn+0aGuOz+g50NvGLmkzkokRUvyCeSGvmO2JOaK4zOjNZk7LejjYKeFifx8uTk6UJSbxu01bKYlPxM1BOl1Wm43rvQMcbpJwsq2bGYuF1WmJ/OaJLRSnidNNkirV7L7QPDveabFStjCVlx5dQ36SOKyEt6NvcIzDp5o5fr4drc5IcVEKv/zeThblfHArz7fDarVx6byEXf93lS7JEKnpEXzlpSrWVmTjfpuumMVqu2O8gVlh/AcQFyabhaOKBv4gO4/CoGFpcAo/WfgExaEZojjMAJhts1pdu3pmtbr83Tx4KDGXx1LySfEXh6XWNzF+y12mA9n4OLF+/uzIzGZbRiYpQeKKAr8dslENh5o6ONwkQTkxRWZkGM+Xr2RTXobddSwAxqf17LvUyp6LTajGtRSlx/LTZzayOj9Z9G751LSB4+fbOXSqmb7BMdKTw+3SLQfo7hxi15+ucuFsB/7+XmzcvoiNWxcRGnb7c5tGp2fqDjFnTKub154e4P0xx0D+H9k5boz1EOsVzKdTStkYvVAU106Y/Z2/ONTLm9ImTg924+niypaELP55xSbygsRrHvVNjHOws+NDc7SyWG1clfVzsKGdGokUi9XGypR4fvLQekozk/ESYbxbOTbFm+ca2X+5FaPJzJr8ZP7tS9tZlmE/vazbYXh0isOnmzlyuoWxCR1F+Qn88KtbWLkkGVfX+cU6zZiWA7trObK/DqPRTElpJl/+2gYyc27PbNa+T04lV4/Pa0+OxN9MYadxvI//7jnL9bFusv1j+KeFH2NVWAbOIs2Vz1gtHOuX8KfuBm6ODoo++jA1Y+RYTzcHJR1cVwzg6+7OhpQ0vlW8hqLoGIe4PQCYLFYu9/RxqEnCWYkUmyCwOi3ploVnol0V2OcwNqXj0NU29l1sQTE2RWF6LD97ZhMl+eILBao1WqrPtHL4dDPDo1PkZkTz8ucrKV2edtsk6G4xMjzJvjdvUH2oHicnJzZtW8S2RwrveNiZQ9PgMFv+7Y+3vW6enpzX3h7gzlAZJ/mj7AIHBmvxdfXksynlbIstFE2rSxAE6kYV/Km7nqP9EpwXOLEpftb1YXGo/Ucc50SQ5yjIMxYLq+Li+WlZJRXJKfiIbAU7B0EQkAyPcrhJQnWzhJFpHbnR4TxfvpINuWmE+Ni/e2YyWzjbKGXPxWbqugeJCfHnM1VL2bI8mwCRxztnTBbOX+vi4MlmmjoGCQ/x5ZGNi9hYmkNo8PyaE0ajmZPVTex5/RrDQxOsXJ3B519YR1ZOzPt+fsZ0+jvGG4C+kbF57e8Bbo8Zq5lDgzf5Q+8FNDNaNkUv4peJnyDOW7zxv0HtJG/0NLJL2oTaqGNlRIKoWl1qvZ7qbgkHJbOuncGenmxMTedn5etZ6EA2oFqr41hLF4eaOmhVqAjz9WZTfgZb8jNJjwi1+3qCINAsG2LPxWZO1nXh4erC1hXZPFySR1yYuCOtgiDQ1D7IodPNnLvahbOzE+WrMnjlS+vJTImc973ra3vZ9aer1Nf2kpgcxtf+YTNryrPvKnHbX9/OH5u6bntdfa2RRzIT5rXHB3hvCILAjbEe/lt6lsbxPhYFJvKrJZ9kaXCKaN9DpW6K3dImdkmbUeqnKAqL5SfLqqiKy8BTJF3QMb2e6u5ODkg6bsUcLzanOc7RShAE2pQqDjVJONbSiVo7K4L80voS1uekEehl//OGIAjc7BrkzXONnGuSEuznxSfWLWHbihyC5sEAvhtYrTauN/Zy4EQT1xp6CfDzZGNpLpvLc4kKD5j3/eV9ava8fo2a4y14e7uz/dEiNm1bTGDQ+58Ta3sH+a87nHFmRobmvT9H4SNf2KnXyPjPnjPUaWTkB8Tz6yWfpEjE4NM7peGNnkZ2y5qZMhkpj0nl92sfZVWE/Ucf5kSQD0o6ONMnA6A0IYnXNm5hTbzjBAIFQaBxYIjDTRKOtXYyoTeyOD6ab1atoTI7jQARbHzngs+ei82cbezBw82VTUszebgkT3QbT0EQqG8dYO+xBi7X9uDl5c6GNdlsLs+dt3AXQEebgr1vXOfiuQ4CA314+tMlVG1d9IEEBPNjIvjnzz112+uq4WEqfvvTee/1Ad6JYcMEv5ed4/BgHYFu3nw5fQNbYpbgIYKFJ8CUycjBvjb+1N1A58QoWYHhfHdJBZsTsvB1te989xwFeXbsYZaCXBAeyUsriqlKTSfES9wf/bdDMTFFdZOEw80SekbGiA7wY/uibLbkZ5IkwqgVwODoBHtvjXdO6Yysyknk11/YxvKsBNG7V4rhCfafaOTomVZ0+hlWFqbw82/toDAvHud5jnmMqac5sLuW6oMNGI0m1lXl8/BjS4mJu/s4GuztxetfvH28AXjo8P/Oa58P8NeYsZrZP3CD/+29wKRJz7bYQp5KLCFCpHEri83GeaWUP/c0ck4pJcjdi0eT83ksJZ8YH/uvqTWZbrEBO7jUPztysC4phS8vXc5KB7p26k1mznRIOdTU8dboQ0VWCi9UrGRpYqwojTO90UT19Q72XGymW6EmPSaUl3auoaooE895No3eD1rdDMfPt7H/eCNyhYb05HC+8qlSKooz8fKcX9HeZLJw+ngLB3bX0isdoWBxAj/+/+ydd1QV19qHHxWRIopip4MUK0VRsSD23rsmpmt6b6Zc07tJbkzXJGrs3dgVEUQEQRALvffeO5xz5vuDi58aUco5g8h+1mItPTPM3nOY/Zu93/2Wb5cxdLhVg+bl85z7s2jM8DqP/6LIpqKwoEl9FdyKJEn45USxMcaT64XJDDfqy2/DnsKpq6VG2lOoVHilxbLjf3pjqK3DAqvBLOnrgLWGEiGXV1fjGR/HgYgwziUl0L5tWyZb2/DyiJGMNJWnil5yXgGHb0qCbNa1M0tcBjPTwR4LI80Yc8srqznsH8Zu7xDi0vNwsOrNJ49NZYKzjea9AUsqOHLmGgdOXCY9q4ghg8z44JWZjHHp22TvHEmSuHQxjv27LnLpYhzGpl159pXJTJo2uEGb7y6WJny8ZFmdx6PCw1l1ZFuT+ioXLdawk1CSxX8jj+ObHYlzF0t+dnmCIV0b9uKoLyXVlRxLimBP7FUuZafQS9eAR2yHsKSvI73UXKa8NlnXP1ERnIqNobiqkhHGpnzoPoFpMidBjsjI5ti1SI5diyKtoAirbl15dOQQZg62w7iLZpKklVVUcSwwgt3eV4hJzWGQZW/eWzGRSUNsNV5ppri0guNnQzl48gpJaXkMsuvDO89Pw93VtkmJAmtJiMvmz1/P4nc+Chv73g3avbodvQ7a2PSs28ikr6xqSlcFt1GiqGBTrBc7Ey/QVbsjr/abySyTIWhrIDmpSpK4kJHAntirnEyp2bGcZd6Pz4drJjFpbZ6uw1ERJBYW3HBBnmPfD0sZkyBnF5dyMjSKY9ciuZyUTmddHaYNsuWjORM1UjIY/r9U+W7vK3hfjaV7544sHuvA3JED6dVVs7ksFEoVfkFxHDgZQkBIAj2MDFg8awgzxw+iW9emu7mXFFewa9sFDuwKQE+/A/MWuTBznjNdGnFtrXZt76o3ADpqKj0qqHn/nky/wk9RJymoKmWe6TAeshyjseSksYW57Im7yoH462SVl+Da05wfRs1hsqmt2sPJy6urOZsQx+GoSLwS4lFKKsaYWbBu8jQmWvVFr708VTsrqxWci07g+LVIvCLjqFIqGWltzpcLpjLOXjOhDwBJWQXsOXeFQxdCqVYomDzUjvdWTGSgheY9BKLjs9h/IoTTPmFIEkx268/7L03H3rpXk6+tUkl4nrrO5g1e5GQX4z5xAK+/Owtb+8Z5/nTV16PnXTTHqKM+qcKwozaii9P5NvwIQXnxjOpuxx8jnmaQoZlG2oorymVP7FX2xV0ju6KUkT3NNeoNWKlQ4JOUwOGoSM7Ex1KhUDDK1IyvJk5hklVf9GXwQM4vK+fE9SgOXwnnclI6XfV1mTbQji8WTGGwiebGfn5xGbu8r7Db+wrllVVMdbHn40en0s9M/ZVCbyc9q5DdR4I4cuYabdq0Yfq4gcyf6tjk3Dm1XL+SxMZfPAm9moLTUAs+/GIRw0fZNGozrOM91lSV2fLNhZtKi5uJFVaV8XO8B3uS/LHs2IMfhz7OsG591d6OJEkEZCWzJ+4qxxIjUEoqJprY8Jf7Ykb3tlSrVVepUhGUnsaRqAiOx0STW17GwB49eWHYCGbY2NHbQLMLjJuJzcrlxPUojl2LIi4nj96dDZg+yI5pg2zp31tz+XsSM/PZ7X2Fw/5hVFUrmDzElg8enkx/c82LT2xiNnuPXebUuTDatKmZ7Hz46kxsLNWTJyg5MZcdW85z5uR1LKy688k3Sxnmai2ba7mgaRxOCeKPJG+qVQqes53CArPhGjHoJJcU3JjspJUV4WjUh/8MmchM83500lavQTehIJ+j0VEcjY4k4qY8XbNs7WRxQa4lv6wcj7AYjl2LJCA+BZ32Woy3t+bJ0S6MtrFAW0Olt4vLKznsF8oe76skZuXjaN2Hz5+YznhHG7UnQr2dgqIyDntc48DJELJyinFxMOezN+cwcqi1WtouLang0L5L7N3uD8DKJ8cyZ+HQJoeOCuQhtCCZn+I9CC1MYaaxM0/bTKK7jvpzyJVUV3I4MZy9sVcJzkmlt54Bi6wGs9B6EBYG6vWKq1Qo8E6M50h0JJ7xcVQoFIwwMWXt2HFMsbahi65mQxxrqVIo8I1N4vi1SDwj4iirqmKIuTGvT3FjygAbjDpqxitRqVLhG5rAbq8rXAhLoFcXAx6dPJT5owdpPLxToVDi5R/N3mPBN5Kvr17hxlT3/hjoN/29olJJnPeKYNsmHxLispk4dRCPPDmWHr00Y4QUqJeCqlI2x57kQHIA9p2N2TB8NQ5dzNXeTrmimmNJ4eyMuXJjg3yxtQOLrAdjbqD+RXO1UolfSjKHb9okH9rHmDdHjmFaX1tZkiCXV1VzNjKOo1cjOBeVgFa7tkywt2b1w8MZqYEkyDeTlFXAtjNBHPYLQ7t9OxaPdWSpu6PGw60AYhKy+Xv/Rc76RdKta0ceXzKSWRMG01FNZcbDQ1PZ+qcPAX4xODib88OGx+g3QHN5LVsaLc6ws9T3e7Q7dODN/rOZbTJU7Tl0UkoKOZoUzp7Yq8QW5TKgS0/ecnJntkV/unRQ34CoVioJTEvldFwMx2OiyCotxbarESsdHJlpay/rTnlMVi6nQqM5GRpNVGYO3TrqMXWgLZ/Mm4SDSW+NhSEoVSrOXY1jz7kr+Icn0aurAY9NqYn17GKgWfFRqSR8L8Wy+0gQl0OTMe3ThWcedmPq2AFqE5+0lDz++s0Lb88wjE278sZ7sxk/eaDGwzoE6uWb8MMstB7JU30nYqit3ueypLoSz9QY9sVdwyc9HiMdfeZbDmSh9WBs1JiYVJIkYvLyOB0Xw4mYKK5nZ9FVR5cpfW34j9s4XPoYy5anK7+0nDMRsZy8HoVfXBLt2rZlrK0l6xZPZ6ytpUY986JSstnlHcKJwEgkSWL6sH58+dQMbE3UnzvjduKSstl1OIjT5yNqyqT/L/m6aR/1aH1FRTW7t15g/+4AJJXEnIUuLF7hSkcDebw8BephdcAGhvTsy2bXZ9WehF2pUnEpO4VDCaH8kxBGtUrJZFNbXhqs/kp6JVVVnEtM4HRcDB5xMZRVV///wsrGlu568lS0qqxW4BuTyMnQaDwjYimprMLRtDcvTnBl6gBbenTSXNWXgpJyDvpeZ5/PVVJzixhmZ8q61bMYM8hK4wbkwuJyDp68woGTIeQVlDLapS/fr13EkEFmajHcS5KEz9kINm/0Jikhh9Hu9qz5YB4WVprXUoH6WOb7Xzp00OHdgfOZYexEWzWuqSRJ4lpeBgfir7M//jpl1VVMNLHhT/dFuPW20kj6ioDUFE7GxXAiOoq8inIG9+zFC8NGMN3GVpZKwbV5SI9di8IzIpaKagUjrEz5eO4kJvXvi34HzXoHXYtP52+PIDwvx9CrqwEvzhvNnJEDNR7eCXA9Ko0te/25EBSHlVk33nthGuNH2jWpWvDNxERlsPFnT4IC4rAfYNyoEM/WQIsz7MzsM4TV/afQsb36JquZZcUcTgznSGIYV3LTMWjfgZnm/fh+1GwGdm26i2otNROdeE7HxXI2IY6iykr6dunKkgGDmGFjh62R5hIh3oxKJXE1NQPP8FjOhMcSl5OHkb4ekwb05d0Z7gwx1+wir7isgoMXQtnlFUJabhEj+1vw7dOzGTPIUuOLy8rKao57hbLrSBDJafmMcLJk3XsLcHFQXx6NqkoFu7f7sWOzLz17d+adD+cxZly/JufKaE7ee+89dHV1iY+P56OPPqJPnz63HE9PT+fll1/G2dmZoKAg3nnnHRwdHZuns2rmrxHP0L+7+nawKhTVeKTGcCQxDK+0OBQqJaN6Wai9kp5SpSI4I43TsTGcjoslsbCArjq6TLSy5o1RY3A1kSeeHGpy5tTqzaXEFNq1bcvo/1V8cLezpKOOevMF3UytAXnH2ctcikrBoldXnps9klkj+mOggfxgNyNJEpeuJrHzcCAXLydg1qcrLzzizpSx/Zucy+Jm/H2j+enbExQVlrNw+QjmLnTBoJM8XhCaoDXrzceDFzPVfIjaJquSJBGSm8ahhFCOJ0WSVV6CbeduvDJ4DPOtBqp1wyqjpBiPuFg84mLxT0mmWqXEuXcfXnMdzdS+NvTqKI/3cXFFJeei4vEIj+VcVDxlVdU4mvbmufGuTBlgQ+/Omu1HXHouO85e5qh/OFrt2jJzRH9Z8gMCpGUW3Ah/0GrXjlkTBzF/mhO9e6jPgyY1JY/135wgKCCOcZMG8P4nC1q0Qac1683MPkNYPWCKWgs/JBTncTA+lEMJoSQU52Pe0ZDV/YazyNqB7rrqNegWVlRwNiEej7gYziUmUFJdhX237jzm5MxMG3vMDQ3V2t6dqPUEPBUajWd4LEUVlTiZ9ebVSaOZMtBGI0UebkaSJHxDE9h0KpDg6FT6m/fk08enMcFJ8x7IAFfCU9i0x4/AK4n0t+nNF2/PY+QQK7WtqcpKK9my8RwH9gRga9+bz79bxpBhLdugo0nNaXGGnefspqCjBqNOUVUFJ5Ij+SchjAsZCehraTPZ1JYXB41mdC/1lfDNKCnmTHwcHnEx+CUno5BUDOndh+ddRjDRyhoLmTxzKqsV+McnczaiZnGVU1KGsWEnxvez5oM5E3A266Nxo0pUSjZ7z13laEA4ALNdB7DU3RHznpr/DvILy9h/4jIHToRQWlbFlLH9+ezNOWpJhlxL7Q7Whp/PUJBXyson3Zi/ZHiTk4M1N56enmRmZrJhwwa8vb1Zs2YNmzdvvuWcn376CVdXV15++WUOHjzIF198wc6dO5upx+rFyqDp4YAKlQq/zEQOJYRyMimSMmU1rj3NWTt0ElNMbNVWprysuhrfpEROx8dwNj6O3PJyLAy7MNm6LxOtrHHupflxDjVjITw9G8+IWDzDYwnPyEa/gzZjbCz4csFU3O2sNL5zlVdUxj9+oTd2y0cNsOCnF+Yzop96dqzvhkKh5IxvJDv+CSQmIRvHASZ8uWYers7qm+xATd6u39af5tLFONwn9mf1C5Po1l2+0F1N0Nr1ZlyvgWp5PmMLczmYcJ1/EsJIKinAupMRy/s6Mt28n9q8ASVJIiInG4/4GmPOtaxMdLW0GGNuwSfjJzLOwgojmZKuZxaV3JjfXIxPRiVJuFiY8MqkUUzs15deGjbmKFUqzl+LZ/e5K/iFJWLSvTMvzhvNLNcB6OtoPodHZFwm2w8G3gh/eGrZaGZNHKxWA3JpSQXbNp3n4J5AjE278u3PKxnkqJk8LHLR2vXmObsp6KjBqFNQWc6RxHAOxF8nOCeVbjr6zDLvx2yLATgYqTdHXmpREafjajasAtNSkCSJYcamvOo6iolW1ph00nwYYHlVNb4xiZwKi+ZsRBwllVUMNunFqrHDmDrQFmNDGbyDqhWcCopii0cQMak5uPY357eXFzLU9t6VLtXB5dBkNu3xI+haEoP7GfPdfxYydLC52tpWqSTOnLzGxl88qa5U8NIb05g6y6nFRz1oWnOaxbATGxvL2rVrcXR0JCwsjMWLFzN16lSNt1tQWY5nagynU6LxTI0BYJyxNT+Omcf4PtboqKGknlKl4kpmBt6J8ZxNiOf6/yY6o83MZZ/o5JeV4x0Zx5nwOC7EJlJWVU2/3j1YOsyBCfbW2PXqpvHBr1Sp8AqJ5e8zQVyNS8eshyHPzHRlzsgBGt8th5py5X/vv8jhM9fooK3FvCmOLJjmhFEX9VrQkxJy+P6rY1wLSWLC5IE8/sw4evTU3MulrKKK2LScOo9nZuQBUFFRccvnWlpaaDWwmtqZM2cYOnQoAMOGDWP58uX/Oqd79+5kZ2cDkJ2djYODQ4Pa0CTNpTdVSiUXs5I4nRLFiaRIsitKGWzUm1ccxjDTvD89dNUTApBUWIBXQjzeiQlcSE6iUqnAqVdvHnMcwmTrvlh36SrLS75KoSQwIQWP8Bi8IuLIKCqhh4E+4+yteXXyaIZZmqAtQyW/qJRsNp++xOmgqBvV9BaPdcCil2aqad1MVbWCI2eusXV/ADn5JYxzteWtZyY3uXTw7ZSVVvLX7178s/8SllY9+Hr9QzgOsVBrGzejUKruqjdQs3mgVCqbrDlCbxqHJElEFeZwOiWKk8lRXM/LoIduR2aZ92eu5QAGdOmpFh0orarCLyUJ78QEvBLiSS0uoruePuMtrW5Us1LHXOpeSJJEZEZOjfE4IpbQtCx022sxqq8FH8+dxFhbK41U7Lyd4vJK9vtcY5dXCBn5xYzoZ8Z3T89mtAweyADXIlL5Y9cFLl1NpK9Fd7WHP0DNd33q2FU2/HQGlUpi1fMTmTnPWa1t3E5+cRklyro1J6+oFJVK1er1BppPc/Iry/BMjeFkchReabG0a9OWKaa2vDhoFKN6qS8XaaVCQXB6Gj5JiZxLjCcsJ5uO7bUZa2HB15Om4m5uSWcdzY/12jWVR3gsvjGJVFQrcDLrzfPjXZnUvy99ZDDmQM3Y2OtzlT3eVygoqWCisw0fPzIFO1P15AW9G5IkcTk0mb92+3E5NBnHASb88MFinAaaqnWeGROZwX+/OU5UeBrTZjvx6FNjMVTzuu1mSsvvvqZKzsoHWsaaqlkMO3l5eaxcuZLJkyeTnZ2Ni4sLCQkJGmkrrbSIk8mRnEqJIjArmbZt2jCipzkfuExmuqkdnTs03V09r7yMc4mJeCXGcS4xgYKKCnp3NMDdwpKXZJ7oxGTl4h0Vj1dkPCHJaTX3a2XG61PG4G5npXEX5FpKK6o47BfKjrMhpOQUMHawNb++tAAXO/UO/rrIKyhl24EADpy6QqeOOjzzkBszJwxEV807Z9XVSnZvvcC2TeexsOqu1iRehXklnNjhz5LnJv7r2LWEDBZ9/Hfd/SotRKFQoHtbUsq1a9fywQcfNKgfOTk59O/fHwBdXV0KCgr+dc6qVauYP38+a9aswcfHh40bNzaoDU0ip96UVldxNi2WU8mReKXFUVxdib1hD5bbODHboj9WaijhWalQEJCWgndCAl6JccTl56Pfvj0jTc1YO3YcEyytZUkMCJBbUoZPdI3e+MYkUlJZhX2v7sx3HsB4e2v699FcwvWbUakkLoQlsN0zGP/wJKx7G/HOsglMGWonS2y5QqHk2NlQNu/1I6+gjFkTB7Fsjotawx9qCfCL4fuvjlFRVsXLb05n8nQHtYR5KqqVnDsawvi5Q/51LLe47K56AxCblsv27duZPn36LZ83VHOE3tQflSQRlJ3CyeRITqdEk1RSgJGOHhONbVjjNI7hPcyabFyQJInovFy8E+PxSkjgUloK1SoVA3v0ZK59PyZaWjOoZy/ayjDOK6oV+Mcl4R0Vz7moBNIKiujWUY9x9lY8P96VEVZmslVnS8kuYLf3FQ74XkclScwdOZDFYx1k8UAGCItOZ+NOXwJCEhhkb8y37y/ExUF9u+W1pKfm8/1Xx7h8KZ7ZC4byyJNj1RbmGRmSSHJsFhMXuPzr2D9+Yey8EFXn72YEhWAsZTd5jtPS9Qbk1ZyMsmJOJEdyKjmKgKwk2rZpw8ieFnw2bBpTzezo2L7pYdWSJBFfkM+5xAR8khLxT0miXKHAvLMho83MeWPkGEaYmNJBwxtFkiQRnZXLuah4vKPiuZz0/2uqt6eNZZy9FT0MNJej63aiUrLZeTaEYwHh6GhrMX/0IJa4O9Kzi+bXdZIkEXglkU17/bganorzQFN++HAxzgPV67FXXlbF5o3eHNgdgP0AY3768wn62qonJUppcQXe/wQzfcXIfx0Lik5h613mOOV56RQXF7eINVWzGHZcXP5fxFUqFfpqXoSklBRyPDmCY4kRhOSmYdC+A+59rPh+5Gzc+lg1ucKMQqXickYaPomJnEtK4FpmBu3atsWljzHPDB3GWHNLbLoaybKgKauqJiA+mXNRCXhHxZNWUEQXPV3G2FiwYrgDY2wsNJq/4naSswvYeTaEf/xCUSpVTB/ej++fnYOlDLvlUFNxZvuhQPYfv4yerjZPrxjDnMkOailXfjuRYWms+/wIqcl5PLrKnQVLhtNOq+kLrMyUPPZv9OLkTn/ad2h/R8POIIterFv9cN3XyMhgwp4vKS4uvuXzuizLSqWSsWPH/uvzwYMH061bN0pKSgAoLy/H8A4xy2+++SZLlizh0UcfxdPTk6eeegofH5+73aZsaFpvSqorOZsay7GkCM6mxVKtUuLS3ZSXB49mkoktph0Nm3T92kmOT1IC5xITuZiaTFl1NTZdjZhgac1H7pYM7WOstvDRu6FSSYSmZeITXaM311Iz0GrbjmGWJrw4YSTj7a0w7iJfNZRaA/JOrxCSsgoYZmfKD8/NZdQAC1n0V6FUcco7jL/2+JGVW8zMCYNYuWA4Pbupf+eusKCMX74/xZlT13Gf0J9nX5ncqNLlt1NRXsXJXf7s3+BFTnrBHQ07RgZ67Hq/br0BmOe3heXLl7Nhw4ZbPr+T5gi9aTy1CZCPJUVwIrkmZ46lQVemmdkz2cQGx27GTTayFFZU4JuceGNhlV5SjKGODmPMLPhiwhRGm5vLlvw4Oa+Ac9EJnItK4GJcEpUKJf16dWeWgz3j7KwYZNxLNtd8SZLwD09ip9dlzl+Pp4dhRx6f6sKC0YPppIYKU/UhMi6TP3b6ciEojv42vTVm0FEqVRzcE8im373o2bsz3//6KP0HmTT5upIkEeQdwZ5fPbnqH8Og4dZ3NOzMdu3PggnD67zOz//NprQw71/jvrXpDWheczLKijmeFMGxpAguZaegr6WNex9rvhs5G3djawzUYMwpqqzANzmJ80k1upNaXERHbW1Gmprxzhh3xpiZY9bZsOk3cw9KK6tq1lT/05y0giIM9XQY09eCpQumMdZW3jVVtUKJR3A0e85dISQ2DYueXXht4Vhmjugvy6aVJEn4Xopj8z4/wqMzGOZgwU8fL8Whf9O14HYunIvkx+9OUlZayYuvT2PabPWEXeVnF3Por3Mc+fs8KpV0R8POEBsTPlq8rM5rREWE8+T5bWRlZd3y+f24pmr2HDvr16/niy+++NfnCoUChUJx4/+3uz/djCRJhOVncjolGo+UaELzMzFo34HJprY8P3Ako3tb0qFd0241tbgIn8SEG+EOxVWVGBt0ws3cgqeHDGOUqRkGHeQZ7FlFJXhFxuEZEYdfXBJVN0103O2sGGTcU7YKN1Dz/V+Nq8nEfvZKDD0NDXhi2jDmjRpEZ5kmOxWV1ew+EsTWAwFot2/H40tGMX+qIzoaEL6ionI2b/DmyIEgBjqY8vvWVRibNM1wVV2lwN/jOqd2BxDsE4lRz0488sYMpi4dccfz9XS0se5Td54EXaoA0Kmne2q7du04f/78HY95enqyY8cOVq9eTUBAABMn1hiaysrKKCsro1u3bqSlpTFt2jQAevbsSXV1db3alZu69AYapjmZZcWcSY3hdEoUFzISUUoqXHua858hE5liaodRE3PmlFRV4ZecxLmkBM4lJpBcVEjH9jWTnDWjx+JubolxJ3ncfsurqvGLTcIzMg6viDhyS8voYaCPm60lT41xwdXaTOP5cm4nM7+YXV4h7PW5hkKhZPrwfqxbPeuuY0Kd1Ex2Yvl5yzlSM/KZNm4gjywcoREPHaVSxckjIfz5mxdaWu348MvFjBxj26RrSpJE1JUkTu66iM/REKoqFUxePIz5T7nf8Xytdm3v+d12aK9Fu3bt6qU5Qm8apjflimp80uM5kxrNmdQYcivKsOncjWV9HZluZo9N56aFVStUKq5mZvzPkJPAlcwMABx69mJR/4GMNbdgcM9esswrFEoVV1LS8YyIxSsinricPPS02+NqZcY7M8Yx1taSnhqsZHUnKqoUnAiMYNuZYGLTc3G2MebLJ2fg7tBXluSkAElpefy+zQcv/2jsrXvy9bvzGeFkqREDdti1FH787iTxMZksWzmKpStHod3EzbHczEJO7w3AY18gqXHZOI225bNtz+A40uaO53cx0KNnz7o1p2snfcqLC4Te3Ia61lRRhTl4/G9NFZKbhr6WNhNN+vJUvwW49bZschRCpULB5Yx0fJMT8U1K4mpWBpIkMbhnL+bZ92eMuTmOPXtrtCR4LSn5hXhFxuEVGU9AfArVyv+tqQbbM9bOksEm8mjfzWTmF7P//DX2n79GfnE5Yx2s+eWlBQyTKepBqVThfTGav/dfJDo+i1FDrfnt8xUMsFVvWDlAfGwWG346Q6B/LOMnD+DpFyc1edNKqVASeDac03sDCDgbhr6BLgufHs+Mh0bd8Xx93buvqcrzajwxW8KaqlkNO9u2baNPnz7MmjXrX8c++eQTPvzwwzp/t1qlxD+zJn/FmZQY0sqK6KnbkYkmNrzuMJaRvSyatINdVl1NYGrKjYVVbH4eHdppMcLEhJeGuzLW3AIrmXJXVCuVhCSn4xOVwPnoBMIzstFpr8VIazPenzkeN1sLWd0Ba1EoVZy5HM22M8FcT8igv3lPPnt8umyZ2KHGg+DkuTA2bD9PcWkFy+a4sHTWULUmDLy5rROHL/PHr2dp26YNL781nSkzHJtkUU6MzuDUrot47A+kpKAMZzd73vhuBaOmDqa9BryMGsP48eM5c+YMH374IYmJiXz++ecA7N27l8uXL/Pdd9/x/vvv89lnnxESEkJ4eDjr1q1r5l7/m7vpDdxdcyRJIrowh5PJUXikRnM1Nx3ddu0Z09uSj4dNYaKxTZMSIKskidDsLHwSa/QmOCMNhUrFwO49mGVrj5u5BU695JnkSJJEQk4+56IT8IlOIDAhhSqFksEmvXjY1Ymxtpay5Oe6E2GJGWz1CMYjOJrOHXVYOXEIi8Y6yGZABoiIyeDHLV6EhKYwztWWL9fMU1vJ8tsJD01l/boTxEZnMHt+TRhEU8qXFxeU4nkgiBO7/EmISMfMpieLn53ApIXDMOx2fyRdFnpTQ25FGR4p0ZxOieJ8RgKVSgWORn141G4oU0ztmpwAObW4iPNJifgkJnA+OZGiykp6d+zIGDMLnnAawkhTMwx15KmsllVcgm90IueiE/CLTaSwvBKzrp0Zb2/Nf2aNx8msD9oazOdSF9kFJez2vsI+n6uUVFQxZagdnz4+DVsT+SpA5RWU8ufuCxw+fRWT3l347M05jBnWVyP6m59Xwu8/nsHjxDUcnc35+a8nsbRufN4ORbWSwLNhnNx9kUDPMPQ76eI+x5m3f1hJ34Hq3/FvDA+K3kDT1lRKlYrA7BROp0ThURvW2UGPCSZ9eWaAa5ONOSpJIjI3B9+kRHyTEwlITaFcocCkUydGm5rf0JwuuprXnNpIB9+YRM5HJ5KQm49+B21G9zXnozkTGNXXgu4G8ngk3oxKJeEfkcjec1c5dzWOTvo6zB89iIVjBtOrqzzvZ4VCyWmfcP7eH0Byeh5jR9iy5tkp2Fo1vYjI7eTnlfDXb16cPHoFS+sefPXDCpyGWjbpmmmJOZzafZHTewLIyypi8Ii+PP/JIsbOckJHA+vCxqBpzWkjSZKkqc7fjd27d5OVlcXzzz/PyZMncXNzuyV27U7W5S5dunA0+hqe2Ql4pERTWFWBvWEPJpnYMNHEhkFdezX6ZaeSJK5lZXI+KQHfpCSC09OoUimx7WrEGHML3MwscDE2liVXDkBqfiHnohO4EJOEf1wSJZVVmHbpzBhbC0bbWDDC0hRdbXn6cjsFJeUcvHCd3d5XyMwvZpxDX1ZMcMbRuo9si72aMsKJ/PL3OWISs5kxfhBPLB1Jty6aMXAlxmfz/VfHCLuWciPOvLELrKpKBX6nrvHPZh/CLsXTw7gLU5aMYNJCF7rXY4H49NNPY25uzpo1a+o8Jy0tDWtra8rLyxvVxweNe+kN1K05n/qf5ExWPHFFeXTT0WeiiQ0TjfsyqpdFk/Sg1gvwfFIiF1KSKKiowEhXjzFm5riZWzDazIJuMiVaL62swjcmkQuxifjGJJKSX4SBTgdGWZsx2saCMc1kPIYaA7LXlRh2nA3hckwqNsbdeGiCM1OG2qEtUz4NqCkjvHGnL6fOhTPQrg/PrRzLIHv15NO6ndLSSjb95sWhfYEMdjLnuVemNHqBJUkSkSFJHN7ig8/RK7TTasvYWU5MWTICe6d7h3AcP36cDz/8EH9//7ue5+LiwqeffsrkyZMb1c8Hiaboze9XzuOZlUBAVjJabdoyurclE01smGDct0kJ10uqqriQnMj5pER8k5OIL8inQzsthhkb42ZuiZuZBX27ypdoPSgxtUZzYhIJz8imfbt2uFgYM8bGgjE2Flh1l6cvt1PrgbzLKwSP4GgM9Dqw0G0wC90G072zfBpYWlbJzsOX2PnPJfR0tXly6SimjRuokU0zlUri5NEQfv/xDLp62jz9wiTGjLNv9Pefk1HA8e1+HN/hR352MY6jbJiyZAQjJw9CW+fe70xtbW2Sk5Pp2bPuxeSnn35KamoqP//8c6P6+KDR2DXVydhQzmYncjo5itzKMqw6dWWSiS2TTGxwNGpaFc3U4iLOJybgm5KEX3ISueXldO6gw0hTM0aZmjFapvAqlUrielomF2IS8Y9LJjgpjWqlErue3RhlY87ovhYMMTduFuMxQG5RKYf9wth//hopOYU42xizcMxgxjv2lW2OU1lZzdGz19lxKJCsnGImufXjoXnDsTBpel7I26mqUnB4fxBb/jiHrq42TzwzjglTBjV6k1xRrSTAM4zDW3wI8Y2ma49OTFo0jMmLh9PH/N4bIIsXL2bChAmsXr26znOuX7/OlClTSE1NbVQf5aRZXAIuXbrEqlWrcHR0ZO/evSQlJREcHHyLCNWVafoZn/0M6WPOswNGMsXUFnODxu+UVioU+KckcyouhjPxsWSVltJdT59RpmZ8NmESI03N6NVRHiupJElEZ+biGRHL6fAYwv5X4cHF0pQXJ4xkjK0F5l0Nm2WiU0tCRh7bPS9zxD8MrXZtmeXan2XjnDDpbihrP8Jj0vl1qw9B15IY4WTJphenYWWmmR20lKRctv7lw9nToVj17cmPfzyOjV3DXRElSSLiciJn9l/C+/BlyorLGTFpIJ/+/TSOo2xoK7ObZ2uiPnoDdWvOkcRwplsP4MvhM3Dq1viJjiRJhOdkczouBo+4WEKzs9DR0mJYHxOeGTqM0abm2HXrLksSUoCcklK8IuPxCIvhQmwSCpWSgX16MmOQPWNsLXAw6S2b592dKC6v5KDvdXacvUxmfjGjB1rKmoC9lryCUjbv9efQ6Sv07NaJj1+fhfsIW430oay0kgN7Atm3o8aI8to7s5g8fXCj2spOy8fzQBBn9geSHJuFpX0fnvlwPmNnOaHXUT4Pp9ZGU/Xmuys+TLC054dRc3DvY41++8bvMmaVlnAmPo5TsTH4JSdRrVIyoHsPJlv3ZZSpOUP79JFts6rWeHwmPBavyDiKKiqxMOrCyL5mvDBxJMMtTdFrps0qqDEge4ZEs9WjxgPZzqQ7766YyFQXOzrIaECurFJw8GQIW/ZdRKFU8tC84Sye6az2wg9Qs+D18Qpn6x8+JCZkM3fRMB5b5Y6uXsPbqiir5MKp65zZF0iIbxQdDfWYttSVKUuH09tMnhDZ1kpT1lRPee/FoZcpj9m7MMXUlr5N8ARUSRJXMtI5Ex/HmfhYInNz0NHSYmhvY55wGspIUzMGdO8hS1hTZbWCwIQUzkTE4hkeS1ZxKd066uFqZcaHsycwysa82TaraglNyGDH2cucDo6mQ3stZgzvx8Ixg2QLKYeaNBaHTl1h+8FAiksrmD5uIMvnutCnp6Ha26qsrOb4PyHs3naBgoIyFi0bwdKHRzVKbyRJIvpaMp77L+F1+DKFuSUMde/H2g1P4DKuH+2ayUh3P9Ashp2hQ4feMQt0ffCa8zSWXRvvGppfXo53Yjxn4mPxTkigpLqKAd17sGzgYCZZ9aVft+6yLRoqqxVcjE/GKzIer8g40guLMdLXY3w/K16eOIrhMpUHvhuSJBEYmcw2z2B8rsVj0q0zL8wdzeyRA9DXwETjbiSm5LJhx3m8/KMZYNub9R8twWmAqUbayskuZtPvXpw+fpU+Jl148/3ZuE8c0ODqM8UFpXjsDeT4Dj+SY7Mwte7BotXjGDd3SL28cwRNpyl6A3Bm1qp/LcrqS5VSSUBqCp7xsZyOiyW1uIge+vpMtOrL666jZansUIskSYSnZ+MVGYd3VDxXUzLQ1mrHSGszPpg9gXF2VnTRlyf04m6kZBew0yuEg77XAZgzcgBLxzlhKrMBubSskh2HAtl1JAg9HW1efnw8MycM0kiJ3+pqJYf2BrJ9sy9KhZJ5i4cxf+lwOjWw+oxSocTfI5Tj2/0I9omsCX2Y7cQrXy+rl3eOoOk0VW/85j9PZ/3GLTgkSSIqLxfP+Fg84mK5nJGOjpYWY8zM+Xj8RMZbWGEkkxcg1CQ+rq3SGRCfgkKlxNG0N0+7D2diP2tMuxrK1pe6KC6r4OCF0BsG5HEOffnjtcWyeiDD/3JpeYfxxy5f8ovKWTjdiYfmDqOTgWY0OdA/lg0/nSEhLoux4/vz7sfzsbBq+AZZbGgqx7Zf4OyhICrLq3EZ14+3f1zJ8PED6uWdI2g6TdGcM7NW07db48NsSqqq8E1OxDM+Ds/4OHLLyzA26MQESyvWjB7LcGMT2eY4mUUlNRXzIuO5EJtIebUCu57dWDR0EBP79W22EPKbqaxW4BEczS6vEK4nZGBj3I23l4xj6jB7WaMwyiuqOHjqCjsOBVJaVsXcyQ4sm+uikagHhULJiSMh/P2nD8VF5Uyf7cTiFa706NnwnITFhWWc2VezpkqKzqSPRTdmrRzN+HlDhAH5f9wfSTwaQG+9hicMzS4tZX9E6I2JTts2bXDpY8JrI0cx0bKvbElIAYorKjl+PYqzEbFcjEumvFpBv17dmePYH3c7S1krPNyNymoFxy6Gs+PsZWLScnG07sM3q2cxdrCV7EnEUtLz2bLPnxPeYZj16crnb81ltIu1RgS6uKicg3sD2b3ND4NOurz+7izGTxrYoGpXkiQReimeEzv8OHckhHZabRk3ZwivfbsC28H19zbISMjizDYfVry74F/HyiuqiEvKqfN3MzPz6t1fwd1p6HNWqVBwMjaaEzHRnE9KpKS6CpuuRsy2s2eyVV/ZSgNDTdz8hdgkTlyP4nx0AlnFpXQ30GesrSWr3IYxwspU9sTHd0KSJIKiU9h2Jphz1+LoaWjAqhkjmDdqIAZ68nqXlJVXse/4ZXb+cwmFUsnD84ezaIZmdsyVChXnvSP487ezZGcVMX/xcBavGEGnzg1bfGem5HFq90VO7rpIbmYhzmPsWPPTSoZPGIh2h/q95stLyvHe48/Ux8b965hCqbqr3kCNp4Gg6TS00IMkSVzOSOdQZDie8XGkFhfRVUeXcZZWPD1kGKPNzNFtL8+CQZIkwtKyOHotknNR8cRm592Su2KMjSVGHeUzLN2NxMx8tnsGc9g/jLZt2jDbdQDLxstvQFYqVXheiGTTHj9S0vOZPn4Qjy12pYeRZrzFI8PT2LzBm0D/WEaOsWXNB3MbHOZZXlrJuaMhHN/uR2RIIsZW3Xno5amMnzuk3rm6VCoVIWdDyU3NY9LKf1ePKSgqpbSybs3JKyhtUJ8Fd8akY8MX1/nl5RyKDMcjPpbA1BQUKhUOPXvzqKMTEyytsTOSz4ASlZnD4Svh+EQlEJmZQwetdrham/HmVDfcbC3pYyjf+u5uZOQVs8s7hEO+1ykur8TdwZqX5i3C2cZYVmNTaVkle44Fs+dIMBWV1cyb6siy2S4YdVF/TiGlQsW5s+Fs+cOb9NQCZsx1ZvkjozBqYD4/SZIIDYzjxE5/fI5eoW27NrjPdublL5Zi71z/Dav0+EzO7fFnyZtz/nWsrLzyrnOc5PT8BvW5OWlxhp36olSpOJ+UyM7Qa5yJj0WvfXsmWfXlMUdnRptZ0EmmClZQ4+56MT6ZA8GhnA6PQSVJjO5rzlvTxjLW1pJene+PpJUA+SXl7Dt3lZ1eIRSVVTB1qB0frJxCf3P1J866F0lpeWzZ58/pc+H06tGZNc9OYbJb/wZ7zdSHzPQC9u68yIkjIbRt25alD41k4fIRdGhAVa1aS/Kx7X4kx2Ri1d+Y1f+Zi/ucIejXMx9PVUUVvgcDOfHnGS6fuU7nbgZ3NOyERqWz8pVNdV6nsryw3v0WqIeYvFx2Xr/GgYhQiiorGWlqxusjRzPOwgrTzvKVAAeIz8nn4OVQDoWEk1lUwmCTXix2GYy7rSX9eve4L4zHUJMY3jM4hi0elwhPysLRug9fPDGDcY7yVZuppbSs8oZBp1qhZME0J5bNcaGzBnbMa12S9+26SGZ6AWPH9+fL/66gV2/Del+jturD0W0XCPKOoLORPpMWDmPqMtd6xZXD/7y4/KM4/ocn3rsvUF1ZfUfDTn5B6V31BiD+HoYfgXoprKjgYGQYO69fIzI3B9uuRsy178d4CyvZKljVkldaxpGrEewPCiUyMwezroaMt7finRnuDDU3abbcFbcjSRIhsWls9QjC62osxkadeW72KGaPHICBrnxzQqgx6Jz1i2LTngskpuYxcXQ/Pn9rLmbGTauweSckSeLihRh2b/PjWkgSNna9+Hr9QzgOsWjQdeLCUjm23Q/Pg5eorlQwcspgHn9rJoNG1H+jLSs5h5N/neXUprNkJGTjMs3pjoado56h7D8VWed1kiMuM2Ns0xKtCuqPSpK4mJLMztBrnIyNpn3btoyzsOKLCVNwM7eQ1ROwtLKK49ej2Bt0nSvJ6RgbdmKcvRWvTB7NcEtTdGQMnbwXUSnZ/O0RxMnASAwNdFni7si80YPoYShzZb/KavYdv8y2AwEoVSoWTHNm0QxnujRwE6k+VFUpOHnkCru3XSAzo5CxE/rzyTdLG1w9+PaIB6v+xqx6f06D1lSV5ZX4Hgjg+J+ehHhex7BH5zsadi6HJrPPZ1Od1yktzGhQ35uT++fpVxMZJcXsCbvO7tDrpBYXMbSPMV9MmMx0G1vZYslric/O41BIOP9cCSe9sJhBxj15c6ob0wfZ0Vn3/spxcEv+HK12LBwziGXjnOgus/gAxCXlsPXARTzOR2Dcy5A1z01l4ph+GlnoZWUUsn2LLyePhNDFqCOPPDmWabOd0Nev3ySvNnfOsW0XOHck5IYl+fVvl2MzqH7eOZIkEXUpllObvTi74zylhWW4THPiP3tfY8TMIXf8nQG2vfn6iUfrvGZmZgbjz35Tr3sQNJ4KRTXHoqPYGXqNS2mp9DEw4FFHZxb2G0hvA3kNtoXlFRy/FsnBkHCuJKfT3UCfuY79mefUH8vu6l8sNIXisgoO+F5n59kQsgpKGOdozVtLxjPYSv2lNO9FUUkF+44Fs/toMEqligXTnFg6e6jGDDpHDwaza6sfJcUVTJnhwPylwzExrf/fJzu9gFO7/Dm+05/cjEKcRtuy5qeVjJg4sN6V9HJSc/HY6sPpLV4khadiOciMRz9eyoQVY+54fhdDfbZ89+hdrzl31rZ634OgcUiSRGBaKrtCr3EsOoq2bWCmrT2fT5iMQ8/GF49oDFUKJd5R8Ry6HIZ3VDzaWu2YOtD2RhWr5g55uJlqpZIzwTUVPEMTMxlo0YuvnpyJu6O17B7ICqUKT98Ituzzv2HQ+eSNORpJUipJEv6+0fz9xzmiIzNwGWHNlz+swGmIRb3/PpUVVZw7EsKxbReIuJyIsWV3lr84hYkLXDA0qt/8sLK8Et+DgZze4kXQqat0MurIxIfcmPL4eCwHmt3xd2aMH8Dcaa51XvOn9XmUlxbUq31B48kqLWFvWCh7wq6TWFiAY8/efDB2PLNs7dHXls/bV6WSCEhI5kBwGKfDolGoJCb2s+alCTX5ue6XzSqo6euFsAS2egQREJmMVe+uvLtiItNc5C34ADVzjkOnr7L1wEXKyqtYON2Z5XNcNBLiWV2t5NTRK2zbfJ6CvFKmznRk4bLh9GmAQac24uH49gv4HL2CVvt2uM925o3vH8JmUP1Sb0iSRJhfFKe3eOO1y5fykgqGz3Dmw4NvMmya0x1/x2mAKR/MX17nNSMjw3ny0R31vo/m5IEx7CQWFPCpjxeeCXF06tCB+fYDWDJgEDZG6n9Z3otzUfH87HWRK8np9OzUkVkO9sx26IdNz/sr/k+SJIKjU9nicakmf073zrw4bzSzXQegJ3P+HIDrkWlsOxiAT0AMFiZdee+FaUwYZa8RD52EuGwO7A7g1LErdDXqyPOvTmXyDAfat6/fzmJ1lQKfoyEc+MObmOspWNr34an35jBubv0tyUqFktNbvNn77WESw1IwtevDotfnMGmlG92M7/7c6upoY3WXeFIdrap69UHQOCoU1fxw0Z9t165QrqhmgqU1f82ez2gzc9kXCkl5Baw/48fJ0GjatW3DxH59eX7cCEZYmTVr8uM7kZZbxHbP4Jvy5wxk2ThH2ROwA2TnFrPnaDAHTobQrm1bFk53YvHMIRqZ8BQVlXPs0GUO7A6gpLiCWfOGsPghV7rWc2EEEB6UwP4/vLhw8hodO+syedFwpi0bQR+L+ufFCPOLZOsn+wg6GYJeJz3cl4zkzU3PYzv07jvuWu3a3lVvADrU06gkaDiSJHEsOopv/X2JL8hnYPcevO/mzixbewxk9D4GKKmoZKPPJXZdukpheQXDLU35eO4kJvXve1+Edd5MSXkl+89fY8fZy2QXlDLeqS+vL3bHwaqP7H2prFJw3CuUHYcCSc8qZPxIO40ZdBQKJec8w9m78yLREem4jrbllbdnNKjwQ05GAYc3n+f4Dj/KSioYOWUQj7wxAwfX+pdaz03PZ+fnBzi1xYuK0kpcpjry3q5XcJ09lPb3yCdi2EmfnneZM3c11CdVGHY0RkpRIZ/4eHEmLpaO2h2YZ9+PRQMG0a+bZgqV1IVSpWL3pWtsOBd4Y4P89Sk1G+SGModp34tqpZJjFyPYfPoSCRl5jOhnxo8vzMO1n/z57WoNOtsOBFBSVsncyQ6smDeMrobqD7mqrKzm5JEr7NnuR052MVNnObJs5agG5dCpqlTgdSiIg3+eIz4ijb4DTXj6g3m4z3aud7GHqspqjm88w/7/HiUtJgOLAaYsf2c+Ex92o2uvu+c01dPtcNc5TllRy8mJ2uJnYkqVii1XQ/jmgg+mnTrz/ZTpTLLqK1uyrpuJycrlqxPn8IlOYJydFRsfmc8IK1PZF3r3orb6w9+ngwhNzMTRug/rVs/CrRny56hUEheCYtl+KJCr4an069uLT9+YzZhhNmq3wEuSxOVL8ezZ7s+li3EYm3bluVenMGWGY70NOsUFpRzf7sc/m8+Tn1PM6GkOPPPhfPo5138HTFGt4Mw2H3Z+cYC02EwmPTyW1/54Fvth9Z8wCZqPgNQU3j5zipzSUp4eOoxF/QfSXV/9L8t7UVJRyS/eF/nbLwSTLp34z6zxTB1gQ0cdeRd69SE8KZMtp4PwCI6iW2d9npo+gvmj5c+fAzUegTsPX+LUuTA6d9Rl5YIRzJ/qiL6e+r+3tJQ89u0K4OSRENpptWPaLEcWLR9R7xhzpULJhZPX2L/Ri4jLidgMNuW1b5YxerpjvXPnAIReiGT7Z/sIOHaZAaPseGfHK7jOGoJ2MxjwBQ0ju7SU9708OBUbw3z7/vx36gwG9pA/NFqpUnHgchj/9fClSqHkkZHOzHXqf9/ksLiZ7IIStp+9zL5zV1FKEvNGDWT5eCf6GMkbEgs1HoEHT4aw52gwJaWVTHXvz4q5CzDprf6FQmlp5f8MyBfJzSlhlJsdr7w1vUEGnZjryRz4wxvvw5fpZKjPnMfcmLbMla496v93zknNZe+6wxz57TQdu+jz0HsLmfDQmHsurgTNj0qS2Ho1hK8u+NC7owHfTJ7GFOu+skc8AISlZfHBPx6Ep2ezdNhgFg8ddN9tkANUVCk4eOE6W05fIrughGku9nz55AxsjOXv680GneKySuZNdmD53GEayaFTWlrJ4X2X2LcrgNLSCiZPG8zSlaMaFFJemFfCsW0XOLz5PEUFpYyd5cRLXyzGztG83teoLK/k5F9e7P76EHnp+Ux9fDzv7XyFvk6WrXJN1aINO3H5ebzlcZIrmRk8M3QYzw4d3iwGnfyycn4+68+OgCv07W7EX48tYITVnd1Lm5PyymoOXbjOtjPBpOUVMc6h+XavKiqrOeEVyq4jQSSn5ePqbMn6j5bg2N9E7QNRoVDifSaMPdv9iY3OZLCTGR9/vYRhrn3rbTxKjc/m0F/nOLUngHZabZm6dARzHnWjh3H9JypVFVWc+PMsu78+RHZKLhNWjOHjw2swsZE//ETQcEqrqvjG7zxbrlzGzdySrfMW0sdA/kWNUqViX3AoP3hcQKFS8saUMSwdNpj27e6PPBa1SJLEhdAENp8O4lJUMjbG3Vi7cjJThtjRXuacG5IkcelqEjsPB3LxcgJmfbry+lOTmDy2n0Zco8NDU9mz3R9f7wi69+jE40+PY+pMR/TqGeJZWlzBqV3+HPzrHNlpBYyYNJCvdz/PABereuujJElcPnON7Z/t54pXKP1G2PDp0XdwmerYKic7LQ1JkjgYEc5H587SUVubLXMXMtqs/pNddXIpIYXPj3sTkZ7NEpfBvDDe9b6ooHc7cem5/O0RxNGL4XTW1+GRyS4schtMJ335DcjpWYXsOhzEUc9rtG3bhjmTHVg8Ywjduqo/vD0nu4gDuwM5cjAYlUrF9NlOzFs8rN4LLJVKRcCZMA784c1V/xgs7Hvz0udLGDvbuUEG5PS4THZ9eZBTm70wMDLg0Y+XMuuZyXSQOX+RoHEkFhTw9pmTXEpL5SlnF14a7tosa6rSyip+OHOBrf4hOJj2Yt8zK7Dtdf8ZdErKK9l77ipbzwRTUl7JnJEDeWTykGYxIJdXVHHo1FW2HwqgpKyKOZMG89C84Rox6BQWlHFgTwCH9l5CqVQxe/5QFiwdRpcGaFtKbBYH/vTmzL5A2mtrMX3FSGY9MppuvQzrfY3SojKO/Hqafd8dpiS/lMmPjmP5O/PoYSavV9n9Ros17ASnp7F8/25suhpxcMkK+ndvfAn0pnAlOZ2ntx6kbZs2/GfWBBY4D7jvPHRKyivZ6RXCtjPBVFRVM9t1ACsmOGPWQ/7dk9z8UvafuMzBk1coK69iytj+fPbmHCxN1S/aBfmlHPvnMkcOBJGbU4LbuH688tYM7PrX35CVGp/N398e59yREHoYd+GR16czefHweodb1RJ7JYH/zPmS/MxCpj42jsVvzqGXRfM8s4KGU15dzZxdW8ktK+frSVOZZ9+/WRbHReUVPLvtECHJ6Sx1ceC58SPoond/LbBUKgnPkGg2HLtIdGoOw+3N+OmF+YzoZyb7d1ZVrcDDJ4JdR4KITczGaYApX66Zh6uzldo9AhUKJee9IjiwJ5CwaynY2PXi7bVzcRvXr95V9cpKKjjwhzf7N3qhUqqYtGgYcx51w9iyYROVsuJyPn/ov/gfDsJx/EC+8vgPjuMGCoNOC+JjHy82hQTz8GBH3hw5RtZ8FrVIksQ3p3z483wQI6xMOfDsQ/flAisqJZsNx/w5czkG8x5deHvpeGYM70eHZkiiGhqVzq7Dl/D2j8KoS0ceXzKS2RMHa8QjMDw0lYN7AjjnGU6nznosfXgkM+c6Y9Cpfu8ESZLwPXGVLd8cIzk2i6Hu/fj076dxGm3bIK2QJIm96w6zcc02epga8cz3jzHlUXfhEdiCCMvOYuGeHZh1NmTf4uUM7tmrWfqRkl/IY3/tpbiikrWzJ7DQeeB9lT8HatZUO85eZqtHMEqVioVug3lowhC6dZbfc7uouJz9J0PYezSY8opq5k5xYPkczXjopKfms39XACeOhtC+vRbzlwxj7kKXeusNQEpcFn+vO865oyH0MjPi8TWzmLRwGLr13PSq5YpXKB8tWkd1ZTWznp7M/FdmYqQBL8iWSIs07FQrlbzreZohvY3ZPHcBWs1kSAlOTGXV3wcZYm7MN4umYXCfhUAUl1ey8+xltp0JRqmSWOruyPLxTnQxkL/caFxSDrsOX+LUuXD09bSZN8WB+dOcNBLvGR2ZzsE9gZz1CEVbW4upMx2Zs3AovfvUf9BnJOey62cPTu0OoI95N95e/zCjpjk0Kt/PmW0+fL/6N2xdrPnvhU/p1uf+SmRbHw4fPszLL7/Mtm3bGDFixB3P2blzJ4mJiWRnZ1NaWsovv/wicy81x/oAf7JKSjm2YiUmneTfjQEoKKvgyc37yC4uZd8zK7DrdX/tSqhUEmcuR7PhmD8xablMdLbho0emYGcqvwGzqKSCQ6eusPdoMAXF5YwfaceaZ6dg31f9k9X8vBKOHrrMkQPB5OeV4Dralq/XP4RDA8pwVpRVcnTbBfb86klVZTULnhrH7EfHYNCIihWJYcl8uHAdxXklfOP5AQ7uAxp8jeamtetNcHoam0KC+WLCZBYPGNQsfZAkic+PebE94AqfzZvMXKfmMWbfjZsNOjbG3fj6qeZJiKxUqvC9FMuOfy5xLSIVW6uevPP8NCaMskNLzd6JVVUKznmGc2hvIBFhaVjb9OSlN6czfvJAtOuZ50qSJAI8w9j235NEX03GbaYT7/76GOY2DdfH8pJyvlv9G147L/DE5ytY8MoMtO6jqkT1obXrjUqSeP+sB/ZG3dm5cAnazeT9m11cyhOb9tGxQwd2rFpKt47yG0ruRmlFFbu8QvjbIwilUsWy8U4sH+9M52bwCMzKLWbX4Uv8c/oq7dq1Zd4URxbPdKaLBoxLYddS2LvDH99zkRh1N2DlE2OZOdcZXb36G24zknPZ+eNpTu8NxNiiG+/89Agjpw5u8JpKkiT2fnuEjW9vZdS8Ybz86yo6db1/KkvXF01qTstS3/+x6Uow8QX5/DxjdrMZdQITUnj674O4Wpnx7ZLpaDeDu2Jd3GxNliSp2cRHkiSCryez41Ag/pfjMevTlVeenMAUt34NKiNeH5QKFb7nItm/+yKhV1OwsOzOsy9PZsKUQejq1l980hKy2fmjB2cOXKJ7b0Ne/GwRExe40K4Rk7Pqqmp+eWUzh385yfyXZvDUVw+1uAkPQEFBAVpaWpia1p2RPioqCk9PT37//XcArl27Jlf3NE50bg4bL1/i3TFjm82ok19WzhN/7aOgvIItTyzG3MiwWfpxJ2oNOr8f9ScuI5eJzrZ89vh0+jZDfHlaZgG7jwT/f/jDJAcWznCmh5H6X/wxkRns330RL48wdHS1mTbLkVnzhzQovry8tJLDm33Yt9GLyvJqZjw0ksXPTKBzI8M1vHb5su7JX7AcZMaXp96nuwYSs2qa1q43CpWK98964GpiyqL+A5ulD5Ik8elRL3YGXuHrhdOYNsiuWfpRFzGpOfx21O//DTqrZjLOof6h1eqisrKa416h7DwcREp6PiOHWGkspLwgv5TDB4I4vD+IwsIyRo+1Z/ULExkwuH7VN6Hm7+p36jrbfzhJbGgqw8b3Z/2R1+g70KRRfUqOTOXDBd+Ql1HAp8fewWWKY6Ou05y0dr0B2BN6jSuZGfyz9KFmM+oUV1SyassBoA0bHpl3Xxl1yquq2e11hc2nL1FVrWD5eGdWTGgeg05Sah7bDgZw8lwYnQ10eWzxSOZOdkCvAeuc+qBSSfifj2LXNj/CrqVga9+bt9fOZcw4+wYZq9OTcmrWVPsD6d7bkJc+X8yE+UMbtaYqLSrjm8d/5sLBAB77dDmL35hN2/ssQqY+aFpzWtwqUyVJ/BR4kSedhmJp2DxuVyn5hTy79RAjrc1Zt3g62jLni6gLpUrFoQuh/PzPBaqqFSwb78SK8c6yx5erVBK+l2LZst+f8OgMHPub8MXb8xg5RP3hD7XZ2Pfu8CcjvQDX0bZ89cMKHBtQzhNqdtz2bzjLlm+P06NPF176fDHj5w1Fq55Jle/Eto/3cXqzF+/tfIWxi0c2+jp3orysioS47DqPZ2bmAlBRUXHL51paWmg10AhpaGjItGnT+PLLL+s8Z8+ePWhra/Ptt9+Sm5vLU0891aA27mf+uBxE365GPDTIsVnaV6pUvLTjCAXlFWx+fCGmXQ2bpR934kpcGuv2eHM9IYNJQ2z54snpWPeR36ATl5TD1gMX8TgfQfeuHXly6ShmThik9vAHSZIIDoxn19YLXL6UgIVVd55/bSrjJw9ER6dhxuorF6L59o0dFBeUMfPhUcx/0h3DeiZVvhORgTF8uux7Zj87hae/feSeVWcagkKhuqveQE1VC6VS2WTNae1645UQR0RONqcffqzZPGQ2XwhmZ+AVvlk0nakDbZulD3cit6iUnw9f4JBvKFZ9jJrNoFNSWsmBkyHsOnyJ0rIqprr354u352qkwlV6aj57tvtz8ugVOnTQYsZcZ2bNH9KgijNQU+Xqv2/v5pJXOK6TB/HSF0vqXT74TiiqFayZ+imdu3fil6Cv6GmuXg/SgvxSykvr1pz8vFJUKpXQGzXw06WLLBs4uNlSWkiSxJt7j5NTUnpfeeqoVBLHAsL58ZAvRWUVLHV35OFJQ+nSUf7w99qqwecDYzDu1YXXnprIlLH91Z4jsKpKgeep6+ze5kdyYi4jRtmw7qeHGeTYsFD62jXV39+eoFtvQ178rOlrqh9f+IPrPuF85bFW7Z7IZaWVd53jpCbnAS1jTdXiDDvJhQUUVVYywdKqWdpXKFW8ufc4vTsb8PWiafeNUScgIol1e72JS89loZsDq2aMkF18FEoVnhci2br/InFJOYx2sea3z1cwwFb9yYGLCsv4Z38Qh/YEUlpWyeTpDixcNgIT04aHOYUHJ/DL2n3ER6Sz4uUpLFo9vlHW5JspLynn0E8nWPzmHLUbdaAmtv6ph36r83hlVREKhQJd3VufgbVr1/LBBx+ovT8pKSnEx8fz448/Eh8fz7x587h8+bLa22kOQrOymGRn32y5s/7wuURIcho7Vy27b4w6ablFrD94npOXIhliY8K2NcvpZyZ/pZ6ImAw27/PHJyAGCxMj3tVQ+INSoeLc2XD2bPcjOjIDR2dzPvt2GUOH1z+ZcS352cX89eURTu8NwHXSQJ7/dFGDKs7Uxa6vD2HjbMnz659Qv7dAXsld9QYgIS6b7du3M3369Fs+14TmPMh6cz0rE8suXbDq0jwhu+HpWXx72pfnx7neN0adymoFOzwv88eJAPQ6tOeDlZOZPqyf7Aad/MJSdh8JZv+Jy0gS/wt/GKKRfBZREens2ebHubPhdO/Riaeem8CUmQ4N8kCGmsp6h7ec5+/vTtC5a0e+3vMCA12aPn/22nWB7OQcvvZcq3ajDsCpY1f4Z29oncfjUwLo0rNQljnOg6w3uWVlpBQVMdHSutn6sNnvMj7RCWx+fBEmXZrHK/p2gqNT+HbfOSKSspgzagDPzBwpew4dlUrCLziO7QcDuRKeQj+bXnz82mzGDOvbqLQQd6O0pIIjB4M5sDuQgvxSJkwZyH8+XYiFVcPH9vXAOH79YD+J0Rksf7FmTdUUgw5ATloeZ3f48vJvqzUSXn71ciLH9tY9xykpy6S4uLhFrKlanGEnIjeHNoBdt+bJL/Gb90VC07LYs3o5OvdBWE16XhHf7PHmbEgMowda8vkT07HqLa/7vUKp4oRXKH/vv0h6ViHjR9qx9uUZWGvgZZ+TXcSuv/04cSQErfbtmDnPmXmLhtHVqOGhC6XFFfz20QFO7wlg8Ii+/Hj0NczVZIQ6vtETRZWCOc9NVcv1bqffAGMe/2Z1ncczMzNwH7+e4uLiWz6vy7KsVCoZO3bsvz4fPHgwP//88z37Y2BggLOzMwCWlpZkZGRQXFyMgUHLi329nbiCPPp3bx69uZaSwXpPP16ZNIr+fZo/2XZVtYK/Tgay6VQg3Q078s3qWYxzsJbds+B6ZBp/7rpAwJUE7Kx78umbcxjjov6d+6oqBcf+ucy+Hf5kZRYxaqw9L70xvUEJ2GuRJImjW33Z9NVRdPQ7sObHlYyZoZ4KVWmxGfjuv8iabS9p5G9h2LUjG7bWrTcAc+buY/ny5WzYsOGWz++kOUJv6iY8J4f+3ZpnrFdUK3hjz3EGm/TiKTeXZunD7Zy7FsfXu86SW1TGw5OG8OhkF3TVHMp9L3LyS9i6/yL/eFxDT6c9K+YOY95URww04A0dHBjH9s2+XAlOxMqmJ2++P5uxE/o3ylgdcTmR/769i5S4LBY8NY6lz09ERw1ejJIkseebf3BbPJLelpox6E+e7sCsuaPrPP7jT2WUlObh4+Nzy+dCbxpGWHaNl8KAHvJvzABcT83g21M+PD/OlSHmxs3Sh5vJLijhm73enA6KYpidKdvfWYGtibzzP6VSxZkLkfy9z5/45FyGO1nww4eLcRpQ/7DL+pKXW8Ke7f4cOxSMBEyf7cSCpcPp3ojNpsK8En798ABeh4JxGm3LT8fewKyvep6rf346gUHXjoxfNkot17udwU7mrP1wWZ3HIyPDefzJ/WRlZd3y+f24pmp+y0QDicrJwayzIXrt5X2xA4SlZfGL90XenOrW7JUhJEnisH8Y3+z2omsnPdY/N5dRAy1l74O3fzS/bz9PakY+U90HsO69BZhoIDN5SXEFu7f5sX/XRTp11uXRVe5Mm1X/8sG3U1xYxvsrfyMzNY+316/EbaZ6SwCHeF3HZboTnTSQ2wNAV0/7rpZ0bZ1qAHR06jfxbNeuHefPn29QHxQKBdnZ2fTu3ZsxY8awc+dOAEpLS9HW1n4gJj0ASknCzkh+w06VQsHb+04y1MKYR0cOkb3924lMzuL9zSdJzSlk9UxXlo9z0kip8LsRl5TN79vPcz4wlkF2fVj33gKGOTYs7LI+qFQSZ09fZ9PvXuTmljB1piMLlw6nj0njvCgkSeLPL46w7/ezLFw9jmUvTG5wFYi7cdU7DC1tLcYsuHMSvqaipdX2njt32h20aNeuXb00R+hN3UTn5bDC3KJZ2l5/5gKZRSX8tnJes1f3LC6v5JvdXhz2D2PyEFtenu9GL5mTZBaVVLD9YAB7jgZj0FGHZx5yY9bEQehowLAUHZnOxp89CQ6Mx9nFki++X46zi2Wjte3y+Ug+fPIP+g2x4N1fHsXESn3GwuL8EuKuJvL4p3UvhJqKYRd9evasW3O6dNWnrLxA6E0TicjJoqd+R7rpyV9Upai8gpd3HmWIufF9YUg+eSmSz3ecwUC3A989PRu3wQ33yG0KKpWE98Uo/tjpS1Ja/v82yWfS10L988+ionL2bPfj4O5A9PQ7sPzR0cyY40zHBlb8rSUrNZ93H/6VivIq3v/tcVwnq7cK5/XzEbjOGqqxSnt6+h3uOscpKcsEWsaaqsUZduIL87FuBhdlpUrFB/94MNikFw8Nd5K9/ZvJKSzl0+0eeF+NY/l4J56fMxqdelZDUBfB15L4Zes5wmMymDDKni/XzMO0AVWn6kt5WRUH9gSwZ7s/ACufHMvchS5od2j8/RbklvD+I7+Rn1PM17tfUOuEp5Z2Wu3U7irZnHz77bckJiayadMmdHR0cHR05Pz586xfv559+/YxY8YMvL29Wbt2LZmZmWzcuLG5u6w22rVpg7mhoezt/nE+iLTCIn5bObdZy30qlCo2nQrk96P+DLToxc53H8K0u6GsfcjILuKPnb6c8A7Fyqw7X78znxHOjV/01IUkSVw4F8WmDV4kxmczceogHn3KnR69Gu8erlKp+P3jQxze7MPr3y5n/LyhauxxDe202iFJNDmE9H6hNetNWnFxs8xxItKz2ewXzPszx2Ns2PTQwKZwMSKJD7ecokqh5NunZ+PuIG+YSEVlNXuPBbP1QABt27ThyWWjmD/FUe1FH6AmhHHLRm98vCKw69eHb358CAdniyZd8+KZUD59ZhOjpg3m9XXL1a4Ltddr+4DMcVqz3kTl5WJn1Dwb1Z8cOUulQsHXi6Y1qyG5qLSCL3Z6cuJSJAvGDOKV+W7oaciAcCckScL3Uhwbd54nJiGbCaPs+PSNOZhrIGdXcVE5+3Zd5MDuQNq1a8vDT7gxe8HQBucIvJmEyHTef/R39A10+P7gyxg1MP9XfdDpqIOiWqH26zYXmtScFmfYScjPZ7SV/LGguy9dIyw9i/3PPNSsiyy/sETe/es4eh3a8/srCxlq2/jkd40hNaOA7/84g19wPMMcLPjj64exs1K/C6ckSZw8eoU/fjlLZWU18xcPY+GyEY22JteSl1XEawv+iyTBV7uep4+5Zl5oWtpaVFdUaeTazcGrr77Kq6++estn7u7uuLu7A9C2bVu++eabZuiZ5jE26Cx7pYjkvAJ+9b7I8+NGNGvMeVZBCW/8foSI5CyenzOKFROcZZ2AVVZWs2mvP7sOX8KoS0fef2kGE0fZa0SDoyPT+e9Xx4kMT2OMuz3vfjS/UfHlNyNJEl+9tBXfE1d54/uHcJ/trKbe3kr7DlpUV1YjSdJ9V5K6MbRmvQGw6iJvYQiVSuKDw2cYaNyLRUOap7w61Gyg/XDgPH97BDHesS/vLp9AFwP5PAkkSeKMbyQ/bfaiuLSCJbOGsmy2Cx3V6F1XS1FROb/+cBqP41exsOrBh18swnWMbZPH75n9gXz7+g4mLhzGi58v1sgGU/v/bSRWVz4YC63WrDfRuTmM7Wsje7unQqM5fDWCXx6a06zJkq/GpfPmhiOoVCp+eG4uo2WOfIiKy+S7jWe4FpnGGJe+vPfCdI146CgVKvZs92PH3xdo17YNi1e4MneRC/pN1LaQC9F8+ORGrAcYs3bDExgYauZvqd9Zj9LCMo1cuznQpOa0OMNOTH4ejxkNl7XNgrIK/utxgYdHODVrCNbec1f4ctdZJjrb8u7yCXTUVf9koy4UShW7jwTxx05f+vTszHf/WYSLg7lG2srNKeaHr4/jdz6KOQtcWPHYaAzVlJzwwB9eVFZU8/PxN5pUgeZetG3bBknS2OUFMmJjJP/u+ZcnzmFi2JlHmjEEKzI5i5d+PoReh/Zse3u57OXLg64l8dWvp8gvLOPph9yYO8VBI6FfCoWSXVv9+PuPc/QfaMxPfz6Brb16cm2FBcXjffgyH/zxJMMnqD/hXy1tWmDJT8Gdad+2LRYyV/z850o411Iy2PvM8mbbuCqtqGLNH8cIiEjig5WTmTWiv6xGysycItb97sGFoDhmThjEk8tG0a1Lw3P31YdA/1jWfXYECYm3187FfeIAtXzvVZUK/vjsMFOXjuD5Txdp7Ptr87++SmKS0+KJyc/jaZlzehWVV/DxEU/mOw/A3a55CuEAnAmO5r1Nxxlqa8pHj06VteBMRWU1f+6+wK5/LtHfprfGCs1AjVfgus+PEBuVwdKHR7Jg6XD0OzY9P5gkSWz4+CADXaz4z4Ynbhh8NYFW+3aUFys1dv0HiRZn2KlSKhkoc5Kvn8760a5tG54dp5n8BfdCqVLx3/0+bD0TzOoZI1g1Y4SsE57o+Cw+//kk8Uk5PLJwBCvmDqN9EzOc3wlJkjh17Cq//nCajh078NUPD+E4xEJt1y8vreT4dj8WPj1eo0YdqNkBbdOMnl0C9TFA5hKg/nFJnAmP5feV85qt6t65a3Gs+eMYA8x78c2qmXTSQJLQuigqqeCnzV4c9bzOaBdr1n+0hB4aylUVE5nBN58dJikxh8efHseCpcPVusN94A9v7BzMGDa+v9queSdUShVt2rR5ILx1Wju2XY1k9RAsrazi29PnWTR0IP16N0/S5sz8Yl76+RDZBSX89spCHKwanpy8sahUEgdOhvDr1nMYdenI+o+W4DRAM57QRUXl/PrfU5w+fo2xE/rz4utT6dRZfR5J3v8EU1RQytIXJmtUCyRVjUFHzHFaPgqVCsdevWRt89vTvqgkiTemuMnabi2SJLH1TDDf7z/HwjEOvLHYHS0Zwwpv3rR6+YkJzJnsoBGDelWVgp1bfNmxxRervj356c8nsLRWn8YHn4skLjyNl79aqlGjDtRU93tQQs01TYsz7HRop4VNV/mqPiXk5rMj4Ar/mTUBAx35PGRqUShVvPvXcbyuxPLJY1OZPqyfbG1LksSuw0H8svUc/fv24s9vHsbSVDO79tXVSr748CA+Z8OZs9CFx1ePQ1dPvTGuXv8EU12lZPpy9Zcfvx2lQqnRnc/y0koSo9LrPJ6Zmamxtlsb/bvLZ0iWJIkvj5/DzdaSMTYWsrV7M//4hfLR36eZOaI/7y6fQHsZX6bXI9N49+tDSJLEx6/Pwn1E00MT6uLYP5f579fH6DfAmN82r8LUXL3vlbysIvxOXuON7x/SuMFFqVBqNN+FUqG8q94AVFVUa6z91oTc1Wn+PH+JimoFL07Q/HvxTiRm5rPquz101O3AlreWYdxNvtDTwuJy/rPuMCGhySyb48Jji1w1kkcHID42i7df2Q4SrP18IaPH2qu9jSNbfRkzw5HuvQ3Vfu2bUSpqds41mUewMLeEikJVnccLcorrPCaoP5076GDe2VC29kLTMtkVeJWvFk7FUE++DaNaJEni+/0+bD0TxCvz3VgxwVm2DRGlUsXPf3uz63CQxjetCvJLefvl7aQk5fLEM+OZt2gY7bTUO17/2eyD4ygbbAZpPiWIokqh9v7fTFlJxV3nOGkJ2RprW920OMNO3y5d0JLR7XyTbxB9OndigbPm3OjrQqWS+PDvU/hcjePH5+fhYidfPp3KKgVf/3aKk95hrFo+hhVzh2nMUFFdreST9/ZxOSiBL/+7AqehmolxzUjKxcS6B53UFNZ1N3JScrFz6aux60dcTuTprV/VebxCUaKxtlsbtkbyGZLPxyQSkZHNZ/Mny9bmzZwKiuTDv0/x6GQXnp8zSlYPkKOe1/jmNw9cHMx574VpdDLQnFv0kYNB/Per46x4dDQrnxyrEW3LSs1HpZLoP0TzMfs5KbkYaSB5fS352cU8PbluvQFISM/QWPutCVsZE5mWVVWz7WIIj7g60VVf/qo4ablFPP3fvfQw7MjPL87HQMaFXlxSDm99fgClSsVvn6/Avq/mvBbiY7N484WtmJob8cGXi+nUSTPalpGcy8QFmq8ulJ2SB4CRsebClE/vDeDInwF1Ho8tDGDiMgeNtd9asDfqJut7/s/zQfTr1Z2Zg9Vv2LwXkiSx/uB5tp0J5pNHpzFtmHx9KC2r5MPvj3LpaiLvvjCNqWM1F2paVFjGWy9to6y0kt/+XoVxI6t53rOd/FLsnTSTkuN2UmMycJ4wWGPXv+Yfy6n1dc9xiqtyoIU4KLY4w461jN46eaVlHLwcxhtT3GTP2C5JEuv2enPyUiTfPztHVqNOTn4J73x5iMTUXL5aMx/XIZqLga2srOaT9/Zz5XIin327jIGDNXefJUXldNTQhOp2UqLSGb98jMaub+9kzhPfra7zeGZmBmMnb9VY+62J3h3lK2v6l28QI6xMmyUkwi8skff+OsFSd0dZjToKpYpftniz60gQK+YOY9Xy0RrdCT64J5CfvjvJyifdePhxzbmCl/wv0Z++DJqTEpWOsY1m4vMBunQ34Nftb971nNkLzmqs/daEnBWxDlwOpaJawbLh8i+Q84rKeO6H/Rjo6fDTC/Iadc4HxvLh90foa96dT9+cQ1cNJfyEmnDPNa9sx9TciE/XLVO7J3ItkiRRVlyBXkfNe5anRKUBYKxBY9ikhcOYudS9zuM//vJfSiuLNNZ+a6GvjBtXaQVFnAyN4tN5mg0VrItNpwLZdOoSHz0yRVajTnpWIW99foD8wjJ++HAJA+00F2pakF/Kmld2UFxcwbc/r6SXBr332mtroajWfN4bRbWCpLAUFr46S2NtDBphzdpPF9d5PDIqgsdWe2qsfXXS4gw7VrJOesLooKXFvGbw1tlz7io7vS7z2WPTGdnfQrZ28wtLee69nbQBfvt8BRYaKLd3M+u/OcH1q8l88d1y+g8y0WhbJQVlsiyyinKLKc4r0ehCS1e/A+Z3SbTWvqNIaqgu5JqAxOfk4xebxK8Pz5WlvZtJyMjjjd8PM3mILa8tdJftniVJ4oufT+DpG8l/XprOZDfN5qK5cC6Sn747yRPPjGfpw5oNPSkuLKNt2zbo6mu+bGpqTDoWGsoLAjXlje+mNwDaTSiXKvh/rLvKN8fZcfEKcxz7y+6tU61U8tpv/6BQKvn91YWy5vDyvhjNe18fYtq4gby+aqJGErLXUlRUztuvbMeqbw8+/GKxxow6AFWV1Siqlehr0NOxltSodLr27oKuBpPNdjbqSM+edYclGnYzoDRVGHaaiqWMidr3BV2ni54u0wbaydZmLScCI1h/0Jc3F7szc4Rm5xk3k51bzHPv7aSjfgc2fLGCXj00F2oqSRKfvr+fkuJy1v34sEaNOgDttNqiUGjesJMcmYaiWonlIDONtaHXUeeuc5ziqlyNta1uWlwpjR768pXF8wyPZZy9FXra8k5YwxIzWbfXmyenDWeKi3wCWFZexeuf7kelkvjpk2UaN+qEXkvm5NErvPzmdI0bdQDysovp0l3z3hdpsTUhCZrczRI8eHhGxNJZV4dR1vK4ttZSXlXNmxuPYtmrK2sfnixrVZxft/pw2ieCT9+co3GjTkVFNT9/f4pxkwZo3KgDUJBdjGE3A9rK4O2ZFptJn76aMyQL5MNIVx4jS0JuPrHZecwYLP8i68eDvkQmZ/PdM3Po3lkzlafuxJWwFD787ghzJjuw5tkpGjXqAPz121natGnDfz5dqFGjDkBBdk34dWcjzX+fabEZYn7zgNCzo3zj73xMIuPtrWUvChGZnMVHf59m2Tgnlo5zkq3d0rJKXv90Pzod2vPjR0s0atQB8D0XSUhwIm9/MJfexpo32FVXKdDWUE6ym0kKS6Ft2zaY2RtrvK0HgRZn2DHSk2fSk19azuXkNMbJXIqvuLyStzcexcGqD6tmyFeFS6FQ8t7X/5CZXcR3/1mIkYbz0CiVKtZ/cwLHIRa4jZcnIXR+dhFde3TSeDtpsZm0bdeWHmbylocWtGy8IuNws7GQtToDwNe7vMjMK+aLJ2fImih5z9Fgth0M4O1np+DqrHmd3fm3L0VF5ax6fqLG2wLIyy6SxZBcXlpBXno+fazlTbor0AxyhX17RcTRSacDTmbyVaAC8L4ay98eQby9bDx9jeV7R8Yl5fDWFwdwdbbilScmaNwrMSoinaMHg3nqufF0NNC8R1L+/5IJd+0uwxwnLpPeQm8eCLroyOMtV1hewbXUDEZaa87r4k4UlJTz2m+HGWjZi5cXaC49wu0oFEre/fofCgrLWPf+Ao3mDISaClgbfjyD+8T+DJAhmTFARVkVHWTw1E0KT6W3dS+0dTTv/fwg0OIMO5215alMFZiQAsDIvvLunv96+AIlFVV89vg0WfP6bD8USEh4Ct+8uwCT3pq39AYHxhMbncmzL8sTa1tdpSArNZ8eGkwwWktuah5GvbugpeHdQLk4evQoq1at4uuvv2b58uXExcXVee7evXvR1ZUnj9GDREW1gstJaYyWuRLWxYgkDl64zn8eniRrNZrohCx+3HSWp5aNZpq75kNdq6oUHNgVwJKHRtJNBmMLQHpiLj00mFy0lrz0fAC6m8qXK0GTCL2RB/+4ZEZYmdJeztLqFVV8us2DmcP7MdtVvhD36mola789jKWJEf95eYZGc3jVsme7H33tejNxquYSft5MelIObdu1lcWYnJOSS3cNe3TLRWvXG8MO8tzP5aQ0JAmGWcqXLxTgu33nqFYo+fLJGbJq3baDgVyNSOXLd+bRW8OeOlATZp6RXsATz4zXeFsAKpWK7PQCWTwEMxKz6G0lf95JTaFpzWlxhh2d9vKERV1NycC6u5GsJc7j0nPZ7X2F5+eMoltn+ULOUtLz2bTHj8cWuWq0MsTN+JwNx8auF5bW8gzWuLBUqqsUsmRwryirREdfvudG06SkpPDZZ5/xxhtvMG/ePD766KM7npeenk5QUBCSJPL7NJTw9CyUKgkHU/nCaRRKFev2eDF6oCUTnGxka1epVPHVr6ew79uLh+cPl6XN4MB4ysqqmDRtkCztSZJEWFC8LHpTWVYFgI6MeUo0idAbzSNJEtdTM2XVG4A/jl+kslrJKwvHytru9kOBpGYW8u4L0+igrfkNl8rKavx9o5k8fbBsoa3hQQlYDzCWJddVZVmVRvPryElr15sOWvJsQIamZWFs2Iku+vI9N1di0zjsH8bri9zpYiBfHrHElFw27fHjiSUjsbeWZ03l7RmOg7O5xvPq1BIXlkZRXikOrpqfO1aVV9FBT6yp6kvLM+zIJkKZDDSW19X0u33n6NunG3NGypused0GD0x6d2HZ7KGytKdUqLjgE8Vod/my0ocFJdCxsx7GVt013lZlWSXaug+Oy+Dq1avp1q3GZV6lUqFfR56rTz75hHfffVfOrj0whKZl0kmnA2Zd5fOaOXjhOgkZ+by6QHOVoe7EodNXiIrL4s2n5cvn43M2HPv+fejRU57vNysln/zsYvo5W2i8rYqySgB0NJzDQy6E3miejKISckvLZJ3jpOYUss3zMqtnjqCLjEaB5LR8Nu/14/HFrrJ4IwME+sdSWVHNGFnnOPH0H2IpS1uV5VV0eEDmOK1db+RaU4WnZTGgj3xeF5Ik8eWuswyzM2Wis3wbV5Ik8dWvp7E0NWLJLHnWVGWllQRciMF9gnxJoYN9Iuls1BGr/poP5a2qqH6gijNoWnNaXKyItgyudJIkEZ6exXh7a423VUtiZj6+oQn899k5soZghYQmE3glkR8+XIyWTPk1IsJTKSwoY5SbfEkbI4ITsHcylyWRqaJaSXsN7grq6enhd8GfuGuJdd7PKc9T6OnpUVFRccvnWlpaaDXyRa5SqdixYwc//PDDv479+uuvLFu2jI4yJuJ7kAhPz6Zf7x6yVqPa4XmZWa79seglXxWeyioFm/f4M3+qI9bmmjeyAqhUEgEXYpi/VB7vIICw4HjaabXFZrDm3c4VVQoAtDSkOXp6eiTEJ3Dp3GW6Gd05J0p2ThYJ8Yloa2urTXOE3miO8LQsAPr1lm+htc/nKl066rJorLyl1Tft9aNX984slWmRBeB/Ppp+A00w6iZP2GdpcQXx4WkseVae/GGKKoXG9AZqNMfLw5vhjq53PK5SqfA5e57+g/sJvWkiHWSa919Py2TZMPnG/rX4DCKSs9j69jJZS6v7X47nSngKv32+QrZ8iZcuxqFQKBkp45oqwDOUIW52sqypVCqVRtvR09PD1+cCk0dNq/NZOX7wZItZU7U4w44c1uXMohIKyyux6yXPwgPgH79Qehh2ZOQAC9naBNiy7yIO/UxwHihfQrNLF+Po3rMTZhbyJE6UJInQoHhmPDRKnvZUEm006Inwzjvv4NDfCffBE7HF4V9ClC9lE4Ivi5ct+lds5tq1a/nggw/+dU2lUsnYsf92jx88eDA///wzAG+99RZvv/02Zmb/flYuXbpEQUEB58+fR6lU8sUXX7Bs2TLMzeXNUdVSicjIZqi5fBn/rydkEJ+RxwcrJ8vWJsBRz2sUlVSwYu4w2dqMjc6goKCMocPlS4RfExZhgo4Mu9qSqsZNt42GJj5ubm70MxnIuLHjGMJY2re59Z6qpSqC8MaQbpw9e5Zx48bdcvxOmiP0pnmJyMjG2LCTbKHmSpWKoxfDmeU6QNY8F6kZBXj4hPP2c1Nl27iSJInAi7HMnjdElvYAIi4noFJJ9B8qj8dOzUJLc3OcLVu2sGzxMvpXDsOwza3zREmSiCSEfLIZ7DyoXnMcoTd106Gd5tdUWcUlZBaVyOoh6BEchVkPQ/qZydemJEls2evPCCdLBtyldLa68feNov8gEww1XPSmloLcEsKDEpjzmDze3lrttVBUKzR2/U8++QSnQc74bruEVZt/ez3lSOlc4yIPP/pQi1hTNZthZ/fu3QQEBFBWVsbSpUtxc6vfA6ItgwhFZuYAYNtTPsPD0YvhzBjeT1Zvnci4TAKuJLDuvQWytQlwyT+WocOsZLOiZ6cVkJtRyACZ3JRVKpVG761bt24EhlxkzJgxjFzR/5b4zEuXLjFp0iS2/bqVBQsW8Oeff97yu3VZltu1a8f58+frbHPNmjXMmTOHESNGcPDgQebOnYtCoSA7O5vevXuzcePGG+d+8MEHvP322028S/XSWL2RA4VSRUxWLiuGO8rW5hH/cCx7dWWghXwlaxVKFdsPBjJj/EC6dZVv5zPQPxZDQz2sbeS717CgeAYOk8fjU6VSAaApyWnTpg0eASdZuXIlcXFxHDl9+sYuUnFxMRMnTmSe3Ww2bdqESqVizZo1t/z+nTRH6E3zEpWZg10v+SpSBUYmk11YymxX+UIFoCa3To9unZg0Wr6QqLiYLPJyShg6XD6P79BL8fQyM8JIplBTSSVpTnCA2bNns+HPDTz//PN4eHjg7Ox849g777xD4p4rxPhE0q1bt3/lp2iNegNNWVNp3uAZ+j8PwQF95DOynLkcw7Rh9rJ661wOTeZaZBq/fLpMtjaVChUXL8SweMWdvds0wSWvcNpqtWWImzy6qtW+HdVVmjPsmJiY4H/JjzFjxjD9jZG88sorN455eXkxZ84cjuw6zMSJE/nll19u7dt9uKZqFsNOUVERX3zxBUFBQVRUVODi4sLVq1fr5WqlK4PHTnx2Ht066mGoJ08yyoTMfLIKShg7WL6JAMC+Y8FYmXVjmKOFbG2mp+YTEZbGQ4/LN9GNC0sFwHqgiSztVZRUoNNRs89Onz598PDwYMyYMRgYGPDGG29w/fp1pk6dyrp161iyZAlQt+g0hO+//56///4bPz8/ANq2bcvcuXM5f/4869evZ9++fQCUl5ezbt06lEoln3zyCW+88QYdOjR/wrOm6I0cpBUWUaVQYt1dvpCowMgkxjn2lXXS4xcUR0Z2kWxx57V4nwljpJudbPl8FNVKEqMymPeEPAliy0tqXIN1Nag57dq1Y9OmTSxatIg5c+Zw9OhRJEli9uzZGBsb8+eff9K2bVvatm3bZM0ReqN54rLzcLeTz4MtICIJi15dMeshT44bgJLSSk56h7J6hZts3jpQozfdexhgYy/fjn1saAq2MpU4VqlUVJRWalRvAJYvX05JSQlTp07F29ubfv368fnnn7N161Z8fHzo1avGUN/a9QaapjlyzAGiMnLo3dlAtjVVTmEp6XlFuNjKM+ev5eDJKwyw7c0ge/m8r4MvxVNUWC5rztKoK0nYDDRFT8MaUEtFaSX6nTWb/Nra2prTp0/j7u5Ox44deeqppwgICGDu3Ln88ccfTJ06FWgZa6pmMexcvHgROzs72rRpg66uLvr6+sTGxmJjc+8EV3J4tCTkFmDRTb4JyOWYVHTaa9HPTL5498Licjx8I3nhEXdZF3eep0PpbKjHkGHyeM8AxEem08O4C/oG8ohQcX4JnWTwSLC0tMTDwwM3NzdKS0v5/fffee+993j88cfV2s7LL7/Myy+//K/P3d3dcXd3v/F/XV1d3nvvPd577z21tt9UmqI3cpCYWwCAuZE8mpNXVEZCZj5OfeWbfAAcOBHCMEcLTPvIp63xsVnExWTx7CtTZGszJS4LRbUSCzvNJxUEKMkvRVunPR10NbvIaN++PTt37mTWrFksXrwYlUqFtrY2O3bsUMtkpxahN5pFpZJIyivAUsY5TkhsGo5W8oyHWk6eC0OSYKq7fF5CkiTh5RHK2AkDZDMkAyREpDN16QhZ2iorKkeSJAxkmOOsWrXqhlfgE088we+//865c+fUGgLV0vUG7n/Nic3KpW8PI9nai0rNBsDWRL50GvmFpZwLiObN1fKGt589fR27fn0wNpFvYzA2NAWr/vLNH0sKSukpQ07GAQMGcOLECSZOnEhWVhbfffcd33//PQsXLlRrO5rWnGYx7OTk5NySEMjAwICcnJxbREihUKBQ/L/rVXl5OcC/Ehdpgn7du2DdtZMsbQEY6rZnidtAlIpqlIpqWdrMzSvE1dGUscOtZLtPAMMuHZi32BmFohqFTPfa08yQSUtcZLvPQe790NHroNb2OnTocEcDnL29PSdPnmTGjBk888wzdxSL1k599AaaT3P02sIip37otJVH3wpLSpg+1Abb3l1kGxMqlYRJbwOGDjKXVW/Kyspwn2SPjV0P2dpVqKoZv8CJ7iadZWnTyMSQ6avHy6I3Ojo6HDx4kBkzZtCmTRuOHDly3+xa3y/c73pTXlXN3MF22BjJ83wCOFr2YKBFb1nHvq52W5bMcKB9O3l0FaC8vIrBziaMdu8ro7aqGD6xH/ZDzGRps6KigmmrxtNVzfpWl+a89tprFBUVsWHDBk6dOoWtra3a2nxQuN/XVP17GqGnrSXbmNBpB/Nc+6Hbvq1sbebmFTHK2YKRQ+Sd4/Q27sRAB2NZ2xww3BIbB1PZ2hwydTC9rXvKojdDhgzhn3/+Yf78+axdu5ZHH31UbW3KhtQMnDp1Slq6dOmN/w8bNkyKioq65Zy1a9dKgPgRP+IHpPLycrmH6QNDffRGkoTmiB/xU/sj9KbxCL0RP+Kn4T9CcxqPWFOJH/HTsJ8HWW/aSJIkITNFRUW4u7vfNR70dutyWVkZRkZG5OXl/Ssr9YNMRUUFXbp0IT8/Hx0deUKJ7gfEfd9633VZlwX3pj56A0JzammNY6813jMIvdEEQm8ahhh74r5BaE5TEGuq+iPGnbhveLD1pllCsTp16sTbb7/Nq6++SllZGT/99NO/Jj111YbX1dVtVQ9lLTo6OuK+WxGt9b41QX30BoTm3E5rfAZb4z1D671vTSD0pnG01mdQ3LegqYg1VcNprc+fuO8Hn2bx2GkMFRUV6OrqUl5e3mr+OCDuW9y3oLlorX+L1njfrfGeofXe9/1Ia/1biPsW9y2Qn9b6dxD3Le77Qef+qb8pEAgEAoFAIBAIBAKBQCBoEC3GsKOlpcXatWvVWla1JSDuW9y3oHlorX+L1njfrfGeofXe9/1Ia/1biPsW9y2Qn9b6dxD3Le77QafFhGIJBAKBQCAQCAQCgUAgEAhupcV47AgEAoFAIBAIBAKBQCAQCG5FGHYEAoFAIBAIBAKBQCAQCFooLSbobPfu3QQEBFBWVsbSpUtxc3Nr7i5pnNDQUJ577jmmTp3K22+/3dzdkY3Y2FjWrl2Lo6MjYWFhLF68mKlTpzZ3tzROeXk5y5Ytw9XVlcjISEaNGsUTTzzR3N1qlbRGvYHWqTlCb4Te3A+0Rs0RetN69AaE5txPCL1pHXoDrVdzWqvetIgcO0VFRbi7uxMUFERFRQUuLi5cvXqVtm0fbIejXbt2cf36dfT19VuVCAUGBpKfn8/kyZPJzs7GxcWFhISE5u6WxiktLWX37t089thjlJeXY2xsTF5eXnN3q9XRWvUGWqfmCL0RetPctFbNEXrTevQGhObcLwi9aT16A61Xc1qr3rSIUXzx4kXs7Oxo06YNurq66OvrExsb29zd0jhLliyhXbt2zd0N2XFxcWHy5MkAqFQq9PX1m7lH8qCvr89jjz0GQEJCAjY2Ns3co9ZJa9UbaJ2aI/RG6E1z01o1R+hN69EbEJpzvyD0pnXRWjWntepNizDs5OTk0LFjxxv/NzAwICcnpxl7JJCL9evX88UXXzR3N2Rl48aNrFq1im+//ba5u9IqEXrTehF6I2gOhOa0Tlqj3oDQnOZG6E3rpTVqTmvTmxZh2OnWrRslJSU3/l9cXEy3bt2asUcCOdi2bRt9+vRh1qxZzd0VWXnyySc5efIkTz75JJmZmc3dnVaH0JvWidAboTfNhdCc1kdr1RsQmtPcCL1pnbRWzWltetMiDDvDhw8nMjISSZIoLy+ntLQUa2vr5u6WQIPs3r2b/Px8nn32WU6ePEl5eXlzd0njhIWFERgYCICenh4dO3YkKyurmXvV+hB60/oQeiP0pjkRmtO6aI16A0Jz7heE3rQ+WqPmtFa9aRHJk6HmofTz86OsrIzly5czduzY5u6Sxtm3bx8//fQT7du359lnn2XOnDnN3SVZuHTpEhMnTsTR0RGApKQkgoODMTQ0bNZ+aZrazPUDBw4kIyMDPT09Pvvss+buVqukNeoNtE7NEXoj9OZ+oDVqjtCb1qM3IDTnfkLoTevQG2i9mtNa9abFGHYEAoFAIBAIBAKBQCAQCAS30iJCsQQCgUAgEAgEAoFAIBAIBP9GGHYEAoFAIBAIBAKBQCAQCFoowrAjEAgEAoFAIBAIBAKBQNBCEYYdgUAgEAgEAoFAIBAIBIIWijDsCAQCgUAgEAgEAoFAIBC0UIRhRyAQCAQCgUAgEAgEAoGghSIMOwKBQCAQCAQCgUAgEAgELRRh2BEIBAKBQCAQCAQCgUAgaKEIw46gXkiSxK5du5q7GwKBoBUg9EYgEMiJ0ByBQCAXQm8EmkIYdgT1IjQ0lDZt2nDw4EFKSkqauzsCgeABRuiNQCCQE6E5AoFALoTeCDRFG0mSpObuhOD+5vjx41hZWWFnZ9fcXREIBA84Qm8EAoGcCM0RCARyIfRGoEmEx47grkRFRZGdnS0ESCAQaByhNwKBQE6E5ggEArkQeiPQNMKwI7grv/zyC8uWLWvubggEglaA0BuBQCAnQnMEAoFcCL0RaBph2BHUSVpaGkqlkvbt2zd3VwQCwQOO0BuBQCAnQnMEAoFcCL0RyIEw7Ajq5OLFi1haWjZ3NwQCQStA6I1AIJAToTkCgUAuhN4I5EAYdgR1IkkS4eHhzd0NgUDQChB6IxAI5ERojkAgkAuhNwI5EFWxBHVSWFiIvb09Cxcu5KmnnmLw4MHN3SWBQPCAIvRGIBDIidAcgUAgF0JvBHIgPHYEddK5c2f8/PxQKpVMnDiRGTNmoFQqm7tbAoHgAUTojUAgkBOhOQKBQC6E3gjkQHjsCOpFZWUlbm5uHDt2DCMjo+bujkAgeIAReiMQCOREaI5AIJALoTcCTaHV3B0Q3P/4+vqSlpbG/PnzhQAJBAKNIvRGIBDIidAcgUAgF0JvBJpEeOwIBAKBQCAQCAQCgUAgELRQRI4dgUAgEAgEAoFAIBAIBIIWijDsCAQCgUAgEAgEAoFAIBC0UIRhRyAQCAQCgUAgEAgEAoGghSIMOwKBQCAQCAQCgUAgEAgELRRh2BEIBAKBQCAQCAQCgUAgaKEIw45AIBAIBAKBQCAQCAQCQQtFGHYEAoFAIBAIBAKBQCAQCFoowrAjEAgEAoFAIBAIBAKBQNBCEYYdgUAgEAgEAoFAIBAIBIIWijDsCAQCgUAgEAgEAoFAIBC0UIRhRyAQCAQCgUAgEAgEAoGghSIMOwKBQCAQCAQCgUAgEAgELRRh2BEIBAKBQCAQCAQCgUAgaKEIw45AIBAIBAKBQCAQCAQCQQulxRp2Tp8+zSeffIJKpZKtzSVLlmBhYXHXc3Jzc1m5ciVDhgzBzc2NMWPG4Ofnd+P4oUOHmD59OpMnT8bFxQU3Nzf8/f1vHJckiU2bNjFhwgQmTJiAs7MzTz/9NAUFBTfOqaysZM2aNbi6uuLi4sLEiROJjIy8pR/3aqex5OXlsXLlStq0aXPH45cuXWLq1KmMHj0aBwcHJk2aRE5OTp3Xe+GFF3jhhRca3Z8TJ07g6OhYZ3/uB+71nQH8/PPPODk5MXLkSKZPn05ycrKMPRTUB7k0514a0tDzP/jgAxwdHXF3d7/x89prrzW4zXuNbXt7+1vacHd3p2fPnqxdu7ZJ38fdxk9jdK41aA7U/b3V5x0jaH7k0puGjqH6jPO7zVEa8vzdTXPqMw9qDPV5X9fnnFpau96A5uajAvUh55qqIeMH7q4D9dGT+jx/99K1hs7L6su95v6N0bmmaM6DoDe3U5+1+wOF1IIZOXKkdODAAVna8vDwkAwNDSVzc/O7nrdixQpp1KhRUlVVlSRJkrR+/XqpS5cuUlFRkSRJkjRlyhRp3759N85/6623JCMjI0mpVEqSJEnFxcWSvr6+FBkZKUmSJJWVlUmurq7SwoULb/zOCy+8ILm6ukoVFRWSJEnSBx98IJmbm0ulpaU3zrlXO43h2rVrkru7u/Tss89Kd3p0wsLCJEtLSyk8PFySJElSKpXSkiVLpKSkpDqvWVpaeku/G8PZs2fv2J/7gXt9Z5IkSfv27ZN69eolZWdnS5IkSR9++KHk5OTUpL+VQDPIoTn30pCGnr927Vrp7NmzTWqzPmN7xowZt1xTqVRK5ubmN7SsMdxr/DRG5x50zZGku39v9XnHCO4P5NCbho6h+ozzu81R6vv83Utz6jMPaij1eV/X55ybae16I0mamY8K1I8cetPQ8XMvHaiPntTn+buXrjV0XlYf6jP3b4zONVVzWrre3Ex91+4PEvfvX64ebNiwQZo/f77G26mqqpJcXFykTz/99J4Px4ABA6Q333zzxv9DQ0MlQAoMDJQkSZIuXbp0y6A9fPiwBEj5+fmSJElSRUWF9PXXX99yzR9++EHS1dWVVCqVpFQqJV1dXWnjxo03jufn50uAtHXr1huf3audxpCeni5VVFRIf/311x0H0+LFi6V33nmn0ddvLPezCN3rO5MkSXJ1dZVef/31G//Pz8+X2rZtK506dUqubgrqiRyacy8Naej59THs3OsajRnbx44dk8aNG9eg37mde40fTehcfbifNUeS7v693esdI7h/kENvmjqGbh/n95qj1Pf5u5vm1Hce1FDq876uzznqpiXrjSQ1n04LGoYcetPQ8XOvuUd99KQxz9/tutbQeVl9uNfcX1M6dy9aut7U0pC1+4NEiw3FAli4cCEeHh4adyH/7rvvWLRoEX369LnnufPnz+fEiRMUFhYCsHPnTrp3746dnR0AQ4YMoW3bmq+9qKiIDRs28PDDD2NoaAhAhw4deP3112+5ZllZGT169KBNmzbk5ORQXl5O9+7dbxw3NDRER0eHgICAG5/dq53MzEyWLl3K6NGjGT16NC+++CLl5eV3vbdevXrRoUOHOx6TJIkTJ07QsWNHlixZwqhRo5gzZw6XL1+u83o//vgjFhYWuLu7A/D7779jb2+PhYUF69evZ9KkSVhZWbFly5Zbfi86Ohp3d3dcXFyYPXs2ISEhtxy/27099thjdOjQAXNzc4KCgvjvf/9Lly5dGDVqFHl5eXe9/8Zwt+8MoLq6msDAQBwcHG58ZmhoiLm5Ob6+vmrvj6BpyKE599KQxpz/xx9/4O7uzqhRo3j++ef/FR55t2s0ZmwDbNiwgdWrV9/4v7o1B+6tc7ejKc252/3JrTlw9+/tXu8Ywf2DHHrT0DF0O7eP83vNUerz/N1Lc+o7D2qo5txLb+p7Ti236w3UT3Oaojdw/81zmvqMCeRBDr1pyPipz9yjPnrSmOfvdl2rzzyrIXpTn7l/fXXuZhozx3nQ9KaWhqzdHyS0mrsDTcHQ0JAJEyawe/duVq1adcuxjIwMvv/++7v+vru7O1OnTr3rOampqezduxdfX1+2bdt2zz599NFHlJSUYG5uTvfu3dHT08Pb2xsDA4NbzluyZAnHjh1j+vTp/Pzzz3VeT5Ik9u7dy5tvvglA9+7d0dXVJSkp6cY5eXl5VFRU3HEA3akdlUrFnDlzGDJkCDt37kSpVDJ//nzeeustfvjhh3ve453IycmhqKiIdevW4ePjQ79+/di0aROjR48mIiICU1PTf/1O7QLTy8sLgFWrVqGtrc2qVauwtbXl9OnT7Nixg6effpoVK1bQrl07FAoFM2fOZM6cOXz11VcoFAoWLlx445r3ure//voLBwcHvvrqK0xNTXFxcWHhwoVs2LChznv74osvOHHiRJ3HHR0d7/ms1UV2djYKhYIuXbrc8nnXrl3JyMho1DUFmkMOzamvhtT3fAsLC4yNjXn88cdRqVSsXr0aNzc3QkJC0NbWvuc1srOzGzy2MzIy8Pf3Z+fOnYBmNOdm6qunmtCce93f/aY5t3P7O0Zw/yCH3tRS3zF0ex9uHufQ8DnKnZ6/e80nTExM7tmGpjWnPtyuN3BvzZEkqUl605h5jlx605hnTCAfcupNfWjMuuJu77P6Pn930rV7zbMaqjf1mfs3VEuh4XOc5tAb0LzmNHTt/kDRXK5C6kChUEiPPPKINGbMGI21sWTJEsnDw0OSJEn666+/7unO9dJLL0kuLi5Sbm6uJEmS9Pfff0uOjo5SXl7ev86tqqqSXn75Zal///5SSUnJHa/33XffSfPnz7/FRfmVV16R+vXrJ2VnZ0sqlUp66aWXpPbt20tPPPHEHa9xezsXL16UACkiIuLGOXv37q23K/6d3N+Sk5MlQHr00Udv+dzExET68MMP67zW2rVrpbFjx95y7c6dO9/4f3h4uARIaWlpkiRJ0vnz5yVAio6OvnHO7t27b/SnPvemUqmkGTNmSOPHj5cmTZpU53evTupyGUxNTZUA6ciRI7d8PmTIEGnVqlUa75egYcihOQ3RkMacn5ubKwHS3r1763WNxoztzz77THrjjTdu/F8TmnM79dFTSVK/5tTn/ppDcySpft/bnd4xgvsDOfTmZuo7hmq5fZzX0pA5yp2ev/pozr3aaIrm1Gfc1DeU5Ha9qf3dujRHHXojSffXPOdmGvqMCeRDTr2pz7PSmLnHvd5n9Xn+7qRr95pnNVRv6jv3b+h6T5IaNsd5UPWmoWv3B4kW67GjUCh4+eWXeeONNxgzZgwJCQlqz3p95swZVCoVEyZMqNf5ZWVlrF+/ns2bN9O1a1cAHnroIdauXcuPP/7I+++/f8v57du358svv+THH39k165dPP7447cc37NnD6dPn2bfvn23uMh/9dVXdO3alTlz5qClpcWCBQuws7PD2tr6jv26vZ2OHTsC8NRTT91wT6yoqKBHjx5kZ2cTHBzMF198ceP3b95tqosuXbrQpk0bevfufcvnJiYmJCYm3vP3b+Zm90gdHR2gJjM8QEpKCgA9evS4cU63bt1u/DshIQGo+95q3TM3btyImZkZr7/+Ovr6+g3qnzrp1q0bWlpa5Ofn3/J5Xl7ev75LQfMih+Y0VEMaej7U7Ah17tyZuLi4el3j1VdfbdDYliSJP//8k+PHj9/47F7jsjGaczv30tO70RTNgfrpzv2iOTdT1ztG0PzIoTe305AxdKdxXkt95yh1PX/1mU/cqw05NKcp1KU56tKb+2meczNN0WmB5mgOvbkXDV1X1Od9dq/n7066Vp95VkP15tSpU/Wa+zd0vVcXrUlvGrp2f9BokYad6upqHnnkEZ599lkGDBjAggUL2LZtG+++++6Nc9ThNnjixAkSEhJuxCpmZGSQkZGBu7s7Q4YMYd26dbecr1AoUKlUtG/f/pbPtbW1b7jNff7556xZs+bGsfbt26OtrU1JScktv7N79242b97Mvn370NHRITo6GjMzMzp06ICWlhbvvfce7733HgAlJSW88847TJ8+/cbv362dgQMHAjUxojfHHmZlZdGjRw+mTp3aYHdKfX19+vfv/6/woezs7Du6SzaW2mtlZWXRqVMngFvyhdS+iOq6t1p++eUXXn31Vb777jvmzZuHi4tLnW1q0mVQW1sbFxcXrl69euOzgoICEhMT6dOnz41n9O23367zGkqlkq+++godHR0CAwOZPHkyjz76aKP6I7gzcmlOfTSkoee/9tprt2hVaWkpRUVFN8bSva7R0LHt6emJubk5ffv2vfHZvcZlYzQH6q+nTeFemgP10537RXNqudM7pqSkhFdeeUVoTjMjl95A48fQncZ5LfWZo9xtjlMfzblXG5rSHE2jLr2B+muOpvWmrmesNreH0JvmRU69aQgNmXvcTU8aonF30rX6zLMaozd1zf1Hjhx547P6aGlTaA69Ac1qTl1rdxcXFzIyMnjuuecebL1pZo+hBlNZWSnNnj1b2rZt243PvLy8JHt7e423fSd3rm+++UZaunTpjf+7ublJ06ZNu1ESz9vbW2rbtq104sQJSZIkSVdXV7p27dqN83///XepQ4cON0r5SZIk7dy5U3Jzc5OysrKk4uJiqbi4WFqxYoUUHx8vSZIkvffee9KxY8dunP/aa69JK1asuKVfd2tHqVRKw4YNk95///0bxz09PaXhw4fX+3u406OzceNGqWvXrlJKSookSZJ08uRJSU9P70a/78SdXAZv/o7j4+Ml4MY1FAqF1K9fP+nVV1+VJEmSqqurpRkzZtzoT33uzcvLS3rhhRckSaopL2hlZSUVFhbW694by91cBvft2yf17t1bysnJkSRJkj7++GPJ0dFR2r59u/Tee+9Jn3/++V2vvWHDBmnLli2SJElSeXn5LS6VgqYjt+bcS0MaqjkWFhbS8ePHb5z/7rvvSiYmJreU6bzXNRoytpcsWSLt3r37ls80pTn10dPbUbfm1Of+mkNzJKnu762ud8z69euF5jQzcuvNvcbQ7XpTy53GeS33mqPca44jSffWnHu10RTNkSMUqy7NUYfeSNL9Nc+p6xlbt26d0JtmprnWVHU9K7frTX3mHvfSk4bME+rStXvNkRqjN3XN/W+u4FWf9d7tNGSO8yDqzZ3OMzc3l3bu3Nkq9KbFGXYiIiKk33///ZbPVCqV9OKLL97VgNBUZsyYIdnZ2UkdOnSQxo4dK+3Zs0eSJEl68cUXJUdHxxvnpaamSg899JDk7OwsjR49WnJ2dpY2bdp04/j3338vubq6Su7u7pKrq6s0ZsyYG3GAklRTxq1du3YS8K+f2vvbuHGj1K9fP2n06NHSsGHDpLfeekuqqKi4pb/3aicjI0NatmyZ5OrqKo0bN06aM2eOlJSUdNfvoKysTBo7dqxkZ2cnAdLYsf/H3lmHR3VtffiduLu7QPAQNLg7xZ0W6i2VW7n123vbUjdKFWip0OIOxT1GICEJgQSixN11fOZ8fwD9oC1WsofKvM/T517mnJl1ksxZZ6+111q/odLLL7981TkfffSR1LlzZ2nQoEHSsGHDpPj4+Gt+3hdffCEFBgZKjo6O0syZM6UNGzb88jueM2eOVF5eLkVGRkqAFBkZ+Ut/Z05OjjR06FCpZ8+e0pgxY6S33nrrl+spLCy87s/28ssvS66urtKoUaMkSZKkhQsXSoDUoUOHq4LftuJmfmeSJElfffWV1KNHD6l///7S+PHjf7ne119//Son9Nxzz0lvvvmmtGjRIikhIUGSJEkaNWqU9NFHH0lLly6V3nrrLam1tbXNf45/Mob2OTfyIbfqc9asWSMNHTpUGjp0qBQZGSlNmjTpql7pm/kMSbq5e7u6ulry9/f/ZfFzJSJ8zo383K8R5XOu9/MZ2ufc6Pd2o2eM0efcWQztb250D/3a30jS9e9zSbr+GuVm1jiXuZ7PuZl10K36nJt5Xt/sM12SfutvJEm6KZ9zO/5Gkv5865zrfceM/ubOYmh/c6Pvyu/5m+v5gZvxJze7TrieX7uZNdIfWeNca+1/mZvxc1fyR9Y4fzd/cyW/jt1nzZr1t/c3MkmSpLaq/jFixEjb8sYbb2BlZcXLL7/Mnj172LBhA6tXr6aqqopJkyaRkJBAp06dWLhwIa+88go//fQTSUlJBlP9MGLEyN8Lo88xYsSIoTD6GyNGjBiKf4K/+UvO2DFi5J/IuXPnqKys/GUAm6enJwD29vb06tULgMjISD777LM7do1GjBj5+2D0OUaMGDEURn9jxIgRQ/F39TfGxI4RI38RunTpQn5+/i9DvzZs2ADA4MGDf1EIKCkp+d1hlkaMGDFyqxh9jhEjRgyF0d8YMWLEUPxd/Y0xsWPEyJ+UrVu3EhMTg7m5OZ06dWLKlCnExsbyxhtvoFarf5k4/5///IfnnnuO6upqcnJy+OCDD+7wlRsxYuSviNHnGDFixFAY/Y0RI0YMxT/F3xhn7BgxYsSIESNGjBgxYsSIESNGjPxFMbnTF2DEiBEjRowYMWLEiBEjRowYMWLkj2FM7BgxYsSIESNGjBgxYsSIESNGjPxFuWOJndTUVP773//y1ltvMWTIkBueL0kSSqUSY+eYESNXU1lZyaRJk9ixY8edvpQ/Lbfqb8Doc4wY+T30ej3PPfccL7zwgvHeuAZGf2PESNuxdetWJk+eTHV19Z2+lD8txpjKiJG2obCwkHHjxnH48OE7fSl/iDsyY0er1TJ+/HgOHjyITCYjLS2Nbt26Xfc9SqUSa2trFAoFVlZWQq5Lkq9Han4fmccpZDILITaupFERS2bVQrp47cDOsrtwe8cqPqdCmcm8oGXCbSXWnWJZ7td8EP4Onlaewu0BzI37lP5uYTzdcYJB7AEsPLqBRpWCHePuQyaTGczuZerr6xk2bBhBQUFERUWxefNmxowZY/Dr+DPzR/wNtJ3PkbTFSE3/BXUC2NyLzP4lZDJxOfVW9Xnya19Brj6Pt8Mj+Dk9L/S72aSpJKryS/JbTtDRYRTDvZ7GwsRamD2NXsPu8r3sKduLp5UXj4Q8SKBtgDB7ACeqs/nw/M/Uq1t4uuMEpvn3FWqvUaXgvdPH2HjhDCN82/Fx/4k4W9oIs6fV6/k2JYlPE+LJfOKZa54nSRLPPPMMR44cQZIkxowZwyeffHJHfN+flTvpbyRJD4rtSC1LQNIgs38Rmc2sP/RZN0ujIo7C+jdRagrwcngAf6cXhfq3WlUhMZXLKJInE2Y/jOFeT2Nlai/MXpOmiS0l24ipjiPULpQHg+/Dx9pbmD2VTsOaglh+zIvGxcKOV7pMJdKtvTB7kiSxo+AcH5w+hlyr4cWIYdwT1lOYPYDE0hLejD5Kdl0tC8Ij+N+Q4dc8d9++fcydO5ehQ4dSUlLC0aNHcXJyEnp9fzXuZEwlqc8gNb8FmnSwnoPM4T/IZJZ/+PNuhEpbQmH9O9TL9+NoNYwQ1/ewMPMSZ0/XQkLNGs7Ub8fFMpBRXs/had1BmD2tXsvRqmNsL/0ZcxNzFgTOp49Lb2H2JEkiuiqDzzL3Uqtu5v6Q4dwfOkyYPYC02nIWJx0ipaaU2aHdea33KGzMxMXcZc1NvH88ht3ZWQz0D2D1tGs/E8vLyxk8eDDh4eEcPXqUvXv3MmDAAGHXJoI7ooqVkJCAiYkJn332GQ0NDQwdOvQ352i1WrRa7S//ViqV4i/Moj9ICtCcAYs+ws2VNX2Ng9UAgyR1AEoVZwmw6SXcjiRJ7C8/SA/nCIMldWpVzeS1VPFk2DiD2AOIK88ntjyfdSPn35HAprm5mfHjx9O9e3dWrVrFnj17mD17Nrt372bQoEE3/TkXLlzg9ddfJyIigvPnzzN79mzGjfvt7zE/P5/u3btz8OBB+vXr15Y/ilBuxt9A2/scSdKDfM3FIMvEB5nLRmQW4u51nb6VksZPqWj6ATvLCLp678bGQtwCRCdpSa3bysma1diZuzHd/yP8bXsIswdwrvE8PxWuoU5dz3S/aYzxHIWZibjHWI2qmU8z93Cw/CzDPbvw70534WnlKMyeJEnsK87ijVMH0SPxxaCpTAzoKNS/ZNXW8NLhA2RWV/OvyP7XPfe1115jz549xMbGIkkSgwcPxtHRkTfeeOOWbP6dfc4d8zdXBVhzkdk/jczE+bY+83ooNcUU1b9DveIATtYjCHP/GivzYGH2VLoWTtb8xJn6HbhZBjMzYCm+NjdOmP1RtHotR6qOsaN0JxYmljwS8hD9XSOF3YuSJBFVdZ7PMvdSp27h/pDhzA8aiKWpuRB7cHWANaddBM93H4qrlbgE8pUB1uCAQPaOm0g7F9drnh8dHc3cuXPZsGEDY8aMYcGCBUycOJGDBw9ia2t703b/zv4G7kxMJemqkJqXgHI7mPdB5roNmXnn2/rM66HTKyhvWkFZ09dYmnoT5v4dzjYjhNmTJD3nGg8QX/0dkqRjqOcTdHWaiInMVJjNc43nWVO0nkplJeO8xjDJZyLWpuI2yfJaKvkkYw+JtbmM8Q7nXx3GC13f1Chb+Sg1ms0XztDTzZed4+6jm6u4JLlSq2FlShLLkxLxsLHl64lTGBUSes3za2trGTNmDOPHj+fzzz9n3bp13HXXXRw9epSIiIibtnvH/Y10B9iwYYPk4uIitbS0SGq1WurevbtUUlJy1Tmvv/66BPzmP4VCIey69Hq9pKuIkPSta4TZuIxcnSOdLAiS6uVRwm1JkiTJtQ3SpxkjpdymOOG2zjakSQsTHpCymrKF27rMT3nR0qAD/5OaNeK+H79m/qG10oIj6w1m70oUCoU0fPhwaerUqZJGo/nl9fXr10vOzs5ScnLyTX9WYmKidODAAUmSJKmqqkoKDAz8zTk6nU5atGiR1K9fP+nEiRO3ff2G5Gb8jSS1rc/Rq89LupqZkq68o6Rr+kTS61Vt8aP8vi29Xqpt3S+lFA+QThV2kyqa1kp6vU6YPUmSpJLWs9LqvAelLzLHSSerV0sanbifT5IkqV5VLy3L+VpamPCAtDTrc6lGWSPUnlavkzYWxEvDDy2WJh37QIqpPC/UniRJUmFTnXT/0Y1S0Jp3pRfid0v1SrlQe0qNRvo4PlYK++ITadqGtVJ2zfV/px988IHk5+cn5efn//JaXl6e5OPjI3388ce3ZPvv7HMM7W/02kpJV/+CpCtvL+lq7pb0arHfVa2uVSqq+0hKKAiTUktGCF/D6PRaKa1+t/R19nRpRfY06Wz9Lkmn1wq1ebYhTXr5zKvSA4mPSJuLtkoKrdh1RW5ThfR44rdSn32vSP9N3SBVKBqE2quSt0gvntgtBa95V5qx/0cprbZcqD2FRi19kXBC6vzVp9LQH1ZKB3NzJL1ef933JCYmSk5OTtKmTZt+eU2tVkuTJk2SRo0adUv3yd/Z30iSYWMqvV4l6Zu/kXQVEZKucoikl++54d/ydtDr9VJNyy4ppXiAlFjYVSptWCHpBK6nJEmSSlvTpHX5j0mfZYyWjpV/Lim0jULtVSqqpE+zPpcWJjwgfZL1mVSuqBBqr1Etlz4+/7PUb/+r0t1xn0sptXlC7am0Wmnl+QSp28YlUuTWz6UdeenCvzN7srOkQd9/I3VZ9pn0ZeJJSXlFnPR7NDY2Sn369JHuvfdeSaf7//XzihUrJA8PDykjI+Om7d9pf3NHKnbs7e3p0KHDLxn3Tp06kZKSgq+v7y/n/Pe//+Xll1/+5d9KpRJnZ3G7TwBIcpBawURcWd9lqlu2YWHqjaPVzVdW3A6l8jRAJnSHC0Av6dlYtJnujuGE2YsrH76SenUL3184xvygQdiZiWnT+zXFLQ3EVxbyzdCZBrF3JRqNhtmzZ2NmZsaGDRswM/v/23ju3Lm0tLQwduxYoqOj6dz5xjsoffr8f3WaXq//3Z2wpUuX8uijj/LMM8+0yc9gSG7G30Db+BxJL0dq/RJafwDzrpd2sTrd/g9xDZSaYgrr36BBcRRX26kEOv8Hc1N3Yfbk2gbiqleS0XiAANte3OW7GCcL3xu/8Q+ik3QcqTzK1pId2JnZ8nT7f9HTOUKYPYBzDcV8cH4nOc0VzA8axEOhI7AWWCas0mn55nwCX52Lx8/WkfWj5tPPM1CYPYDjxYX89+hhauStvDxoKAvDIzA1uXb7zIoVK1iyZAkxMTEEBQX98npwcDCHDh1i2LBhODg48PDDD9+U/b+zzzGUv5EkNbT+iNS6DGQOyJw+A8txQitKauW7KKp/D52+BX/nF/C0X4iJwLb1Unka0ZVfUaPKo7vzFCLdFgptu6pUVrG+aCOnG1Lp4RTBM2FP4WnlIcxek0bBytzDbClKoJ29F99EPkKEc5Awexq9jp+ykvksLQ4bM3M+GTCJKUFdhH5nDlzI5d24KOoUCp7o048He/TC0uz6oUd6ejrjx4/nk08+Ydas/2+bMDc3Z9OmTUycOJG5c+eyefNmzM1vXNH0d/Y3YJiYSpIkUB1Dan4PdBVg+xAyu0eQycRVlLSqz1FYt5hm1SncbGfi7/wiFgLXNy2aGuKqvyGr6Sh+Nj2YH7QCN6sQYfaUOiW7yvawv+Ig7pbuPBf2DOFO4mI0naRnZ/EpluccQga82Hkyk/16YyqwdTaq9AJvpRympKWRhzpF8niX/tiai3tmZNZU81bMMU6UFDO1QydeHDgYL7vrPzMUCgWTJk0iICCAb7/9FpMr1kKPPvooTU1NjBo1iri4uKvWP9fiTvubO5LY6dOnD1VVVUiShEwmo7S0lNDQq8ujzMzMrgpYDYKu+OL/mvoLNSNJempbd+BqOxWZwLK+KymRp+JmGYKVqYNQO7E1xylRlPJYu0eF2rmSr3MOY2Vqwb0hv1/yLoIteWdxtbJhmI84p38t3nvvPaoqyzh84DssTIqQNFcff/DeodTXPsikSZM4d+7cVcdudF998cUXvP/++1e9lpqaCnBLpYh/Jm7G38Dt+xxJFYXU9CboG5A5/Bes5wmbNaGXVJQ3fUtp4xdYmvrR0XMdjlbXb6O5PXs6zjXu43jVd5iZWDDB53+0sx8itEUopzmXnwrXUKooY4LXOCb5TMTSVFzvfoNazvKcg+woPkUP5yDWDPgXofZiW0njyvN5PekgZa1NPNV1IA91isTCVNwzoUYu5/24aLZlnmdUcChrp8/Cx/76z4TTp0/z8ssvcezQT4SFmCBpcq463qm9Oft2f8OI0Qvo1avXb5LJ/zSfYwh/IykvB1jlYPswMruHxQZYqnQK6xfTrErC3XY2/s7PC00gN2uqiav+huymY/jb9ODu4G9wtQwSZu/XAdbzHZ6lm2NXYfZ+HWC91HkKk/x6CQ2wYsrzeDPpMMUtDQYJsLJqa3gz+hgnSoqY0qETL91EgHWZSZMm8ep/nuW+ewb9xt9YmsKOLUsYNfZe3nvvPV588cWrjv/T/A2Ij6kk7QWkpndBHQtW45G5rEJmKm5DR6OrpaRhCVUtG7CziBA+h1SrV5NSt4Wk2nVYmzkx0fd1Qu0GCU14nqhNYGPxZlR6FbP8ZzDKY4TQtvLTdfksydjNhZZKZgX046F2I3EwF/fMyG+q4+2UIxwtzWWMXxg/DJtNgL244ox6hYJPE+JZm3aGzu4ebJ41l17eN/cdfeWVV7C0MGHNqsWYSvm/iamef2YqdTUXmDlzJnFxcVcd+zP6mzuS2HF3d+e1117jqaeews7OjilTptxUZYFoJMUWkDmDmdjdUq2+DrWuHEcrwwxkUmgbyWw8THfnaULtFLYWsqZwHaM8R+Br7SPU1mV2l6awrTiRN8NnY2MmLuj7NYlVxYz0bY+5iWESc1dSVlbG5PHe2ChnIV2jTXreWC3/+W8x1tZXO+7XX3/9mvMw1q5di4+PD5MmTbrq9T179gDw/vvvU1RUxOrVq9FoNAwePPi2fxZDINrfSNoipOZ3QXX04qLH/j/ITMUlBBoU0RTWvYFaV4Gv41N4OzwkdNe8QpHJscrPqVbmEuE8jX5u92JhKm4OQ6OmkU3FW4iriaezQ0fe7rpY6LBSnaRnR/EpluccxExmwhvhMxnnHSE0aVXS0sA7KUfZX5zFSN92/Dh8Dn52TsLsafV61pxNZenJeGzNzVk+cTJjQ2+uorKiooKO7Z3p7v8CUu3vn9MjAMKCNSxdupQ1a9Zcdeyf5nNE+htJm3cpwIoBy7HIXH4QHmAVN3xMdctGAwZYmzlVux4bMycm+r5BqN1AYfeiXtJzovYkm4q3oNarDRJgpVwKsPIuBVgPtxuJvcAAq6C5jreTj3CkNJfRfu35ftgsoQFWg1LBpycvBlid3NzZNHMuvX1u7TtaWlrK3CkSUu3E3z1uC0waUcfOXbt4/fXXrzr2T/M3IM7nSPpmpJYvQL4GzEKROa9GZhnZBlf8++glDVXNayhp/BQTmSUhrh/hZjtN2AaZJEnktcQTW7WCVm0dvV3n0ctlFmYm4mKJ/NYC1hSu50LLBYa4D2Km33QczMVtuFcoGvg8ax+HK9KIdG3H2oH/IsRO3Pq0WaPiy7Tj/JB1iiB7F1aPmMsgb3Gz17R6PevSzvBpQjymMhPeHTGamZ27YnILz4yysjKm3eWBRcs0pJbfP2feeBVfLa//S8RUdySxA7Bw4UIWLlx4p8z/BkmbC/K1yBxeFzrRHUBm4F/7yZqfMJWZ09NFXNtQvbqepdlf0M4uhLn+s4XZuZJTtRd4J30bC4OHMM4nwiA2L1PW2sQgL3HO6oaYRyBz/eSah2WqSszMRtPc3HzV69fKLG/atIn6+nqefPJJDhw4wJAhQ6iuriYgIIBXX331l/P279/PggUL/lKDBUGMv5EkJVLL19C6Ekz9kDn/gMxyYJvauBKVtoTCurepVxzA2WYcHZ1XY2nmJ8yeQttIfPV3pDfuw8e6q/Cy5MttV9tKd2JlYsXjoYvo69JbaILlbH0hH2XsIre5glkB/Xmk3UjszMW1cyq0Gr4+f5IV50/ibWPP98NmMdy3nTB7AAklxbwRfZS8+joe6NGLJ/v0w9biFhOBJm7IXNdf/xyz6cyfP5+VK1de/fI/0Oe0tb+5GGB9BfKfwCwEmfNPyCzF/T70kobK5tWUNnyKiYk1Ia4f42Y7VWiAdaHlOLFVK5BrG+jjOpeeggOsvJZ81hSuI681nyHug5npN82AAVZ73h44h2A7cW1eLRoVX6XH833mKQLtnYUHWDq9nvXpZ1l68jgmMhlvDx/FzM5dr9vieT1k1jOQuc659gk2y+nVS05sbOxVL/8T/Q20rc+RJB0otiK1fAKS/lIF8mxkMnGxS6MilsL6t1BqCvFyeABfxycwNbETZq9WVUB05TKK5SmE2Q9nkMfD2JuLux8bNY1sKdlO7CV1vde7/Jdg2yBh9pQ6DavzY/gpLwY3S3s+6nEPQzw6CUySS2zLS+PD1ChUeh3/6TmSe9r3xOwP3v83w4niIt6MOcaF+jru696DJ/v2x8Hyjz0zZBZ9kbm+fe3jjtnY2z9CVVXVVa//Gf3NHUvs/JmQJOniLphZe7AWKw0KwKX2KwntDU68fUrlaaQ17GKE17NYmt68isCt0KBuZGn2F1iaWvBku8eF7nZdJqOxlJdOr2W4ZxceDzOsvLdOr6dc3oS3jbhe/xshM7FBZn7tHXeZ+cW/9c3IWCYlJfHII48QERHBli1bKCoqIi4ujqFDh5Kbm4vppdaQb775hsLCQlatWoWLiwthYWFt88P8xbjYa34QqfkD0Ncjs38GbBYiE1Q1o5dUlDd+Q1nTMsxNvejgsQona3Fth3pJR3rDXk5Uf4+JzIyx3i/RwWGk0ARLRlMmawrXU64sZ5zXWCb7TMTKVFyCpVrZxFfZB9hbdpreLiHC264kSWJPYQbvp0bRoFLwTLfBPNCxj9C2q9LmJj64QoHmqwmTCHF2+WMfJjO7rr+5eI4VpqamRp/ThlyUL992Sb5ci8z+P2AzV2iA1aCIobD+LVSaIrwcHsTX8XEDBFhfUSw/TQeHEQx0fxh7c3FtXo2aRrYUbyOmJo72du14o8v/CLIVV6Wt1GlYkx/DjwYMsLbnp/NhahRKnZaXewznnrCeQquLE0qKeTPmGDl1tSwM78FTkf1wsLw9/y0zdUFmfm2fLDN1xcREafQ3bYykTkFqehu0GWAzD5ndU8hMnITZU2oKL6nrHcLJehRh7t9gZR4kzp6umYSanzhTvxM3yxCDqOsdrjzCjrJdWJlY8WjIQ/QTrK53rPIcn2XupUEj56F2I5gXNBALgXFZak0ZbyQdJK2ugnntIvh3+BBcBKrrlTY18W5cNPtysxkaGHx7a5tLyEzsbhBTqYC/RkxlTOwAqA6BOg6Zy1qDzLwxldkCpmh1DULtXGg+zr6ydwi260dnRzHJjwsteXyRswwzEzNe6PAstmZikkdXklR7gedTVtPNKYDXu83ERGBf+u+R1VCNRq+ng5O4xach6d27Nw0NDb95PT8//6p/P/LIIzzyyCMGuqo/J5Lm/MUksCYRrCYjs38emamYYeuSJNGgOExh/dtodNX4OD55qe1K3C72xWGlX1KrKiDceQr93BZiaSouqKtR1bChaBOn6pPp5tiVJ9s9hre1uOH1Kp2G9QXH+SEvCkdzG96NmMdIz65iq4Jqy3kr+TBJ1SVMC+7KSxHD8BSYFG5Vq/k6+RQrU5LwtLVl+cTJjAlpJ/RnvFWMPufGSOrTSE1vgfb8xWSOnWj58qsDrA7uK4UHWCdrfuRs/c8GC7AOVR5h56UAa1HIw8IDrKOV6XyeuY8GjZwHQ4czT7B8eWpNGYuTDnGmtoy57SJ4TrB8eWlTE+/FRbM3N5vBAYF8dgP58juF0d/cGElXgdT8MSh/Bot+yFx3IjMXl9jS6Vspa1xGedO3WJr5G2TD6lzDPuJrvkeGjOFeT9HFcbxQ+fIzDWmsL9pAjaqGcd5juct7gtANq9zmCpZk7Ca5Lo/xPhE8GTYOdytxVYhVihY+TI1ia14afdz92TXufjq7iNsgU2g0rEhO5JvkJLzs7Ph20jRGBBt+zumNuNP+5h+f2JEkxcVAzWoyMos+N35DGyCTmWBh6oFaVyHMRnrDHo5WfEYXpwkM9/yXEOcVUx3HTwWr6ejQkUWhD2NnJi4AvEx05XlePbOBwR4dWRw+W2gW+lokVBVhb25JRydxZZtG/lxIuhqklqWg2ALm3ZC5bEJmESHMnkJzgcK6t2hURuNicxcBzq9gaSZubtWVahD+Nj2ZH/wNrpbidrFVOhV7yvext3w/LhbOPNv+Kbo7hQsNsqKqzvNZ5l5qVS3cGzKEe4KHYCUwyKqQN/NRahTb8tPp7e7HjnH30t1V3N9QL0lsyzjHxyfikGs0PNOvP/d173lDBRojfy4kXSX6hi8uBViRyFx3IDPvKMzenQiw0hv2cqLmB2TIGOH1NJ0dx/2tAqyc5nI+ydhNcl0+430ieCJsLB5WjsLsVV8KsLZcCrB2j39AeID1dfIpvk4+hZedHSvvmsqI4JA/VfLYyM0hSSqklh+QWleAzAWZ0xdgOUasul7rDooaPkCvl+Pv/OIldT1xz+LLG1Y1qny6O08l0m2BUHW9CmUl6wo3cKbxLL2ce/LvsGfwsBK3EdyglvNN7iG2FSUS5uDDt5GLCHcOEGZPpdPyQ2YSX6Yfx9HCii8GTmFioLgqREmS2JOTxXtxMTSplMa1zQ0w/lbkG0FqRGb/4o3PbSMkScJEZolWX9fmn63StRBf/T1nG34m0nUBkW4L2/xma9I0s75oA/G1J5noPYGZftMMUjWzrSiBjzJ2Mcm3Fy91mSJUQeJa6CWJfUVZ9HH3+8O940b+Wkgt3yHpvgWZHTLHDy4mgQV997T6Zsoav6CiaRVW5iF08lyPg5W4Xn+tXnVJDWL9JTUIscNKJUniZF0im4q3INe2Ms1vCmM8R2FuIm5Rl91UxtLMvSTX5THWuztPho3F09pJmD25Vs3K8wl8fT4BFysbvhg0lYkBHYUGPfHFRbwfF835mmrmdg3nmcgBuNmI26k3Ig6pZhJYuxoowNpJUcP7BgywzhJV+RV1BqoIvJMBVgcDBVirspL4Mu04DgYKsPbmZPPe8WgalUqejuzP/RHGAOuvjFQzGcmiAZnto2D7ADKZuIRnqyqNgvrFtKhScLebjb/T85ibugmz16ypIq5qJdnNxwiw6cXdwSuFblgpdAp+LtvNgYpDeFl58mKH5+jiKE4YSKvXsb04ka9zD2MmM+E/Xadxl29PYfGYJEkcLc3l7ZQjlMubebRzJIs698faTNwz41xVJW/GHONUWSkzOnXhxQGDcf8d+XAj/88/3htL2tyLO/Cmhqu+qFccRKktwNlmXJt9piRJ5DRHEV25HAkdY71fpqPjqDb7/Ms2YmuOs6FoExYmFjzd/l/0dI5oUxu/h0avZWnmHrYUJfBQ6Agebid23sf1WHHuBKdrStk05p47Yt+I4ZFaloPrw8hsH0ZmIiZYliQ9Na1bKa7/ED0aApz/g6f9PcJmaUiSRG5zLHHV3yDXNtDbda5wNYgLLXmsK9rAhZY8BrkNYKbfdJwsnITZq1E1syLnELtKkuns6Mu3kY8S7ixuUafT69mWn86SM9G0aNQ80XUAD3bsg5XARU9ObS3vH4/hWEEeQwOD2D1vAR3d/h4tov9UZLb3I3N9TGiA1aI6S2H9YlpUpw0SYDVpKomr+oac5mgCbHsxzkdsRaBCp+Dn0t0cqPxnBFiPdIpkUZd+2JiJU0fMqK7izZhjJJSWML1jZ14YMBhPO/FV2kYEYx6OzO0/yEzFKU9qdNUU139Mdetm7Cx70tVrJ7aWItsuVSTXbSKpdgO2Zi7c5buYELsBQtX1jtfEs7lkGxq9hrn+sxnhMUzovNGk2gssydhNQWs1cwIH8FDoCKHCDxcaa3kr+TDR5XmMD+jI6hFzhSp51srlfHLyOBvSzxLu6cW22fOJ8BL3Hf078Y9P7KCrABNxJau/Ri+pKap/Hxebu7C37Nkmn9mkruBo5WcUtp6ii+N4Bno8hLVp25b9lisqWFXwE1nN2YzyHMEMv2lYm4qT6LxMjaqZV06vI7u5nHcj5jHKS9zD4EYkVZXwydkYXuoxnB5u4iRmbwadvhW5OvuaxxXqSgNezd8bmftuTASqF7SoTlNQ9wat6nQ87Obj5/Qs5qa3NwjuelQrc4muXEap4iwdHUYx0P0h7MzFBXV16jo2F28lvvYkYXbthatBqHQaNhTG88OFY9iZWfF6t5mM8+kutKrwREUhb6ccIbOhirmhETwTPhh3a3G7StWtrXyaEM/Gc2mEubrx45QZDA4MEmZPkrTX9TcAekkpzP4/CZmduKTO1QFWL+EBlkavJLluE8m1G7E1c2WS75sE2/U3QIC1Fa1ey7yAOYzwGIapwDavU7UX+ORSgDU3cAAP/s0CrDqFnCUnjrPxXBrdPDwNFmBpdLXI1Y3XOV4j/Br+CZg4fYRMUFuiXlJT2fwjpQ1fYGJiS6jbUlxtJgutKMttjiW26muUukb6ut1ND+eZmJmIS3heaMljTeE68lsLGOYxlBm+U7E3F9fmVSav5/OsvRytPMcAtzDej5hPoJ24zZwmtZLP047zY1YSoY6urBs5n/5e4pLyGp2OtZfkyy1Nzfho9Dimdux8S/LlfwSdvuX6MZWmQKj9tsSY2JEUgJNBTGl0teTWPINaV05Hp59u+/NatfUk1a4jrWE3DubeQoYPtmpb+blsN4cqj+Br7cNrnV8lxM4wMt+JNbm8dnYTtmaWfN9vEaH24oaq3oiEyiIejdnKUJ9QHurY945dx2VaVKmkla+95vHqKvGKa/8URA1HVmsrKGr4gNrWHdhbRtLVexe2FuJ2lVu1tcRX/8D5xgN4WXVgduDneFuLs6fSqdhbvp+9FftxMHPgyXaP0du5l9BF3eGKNL7M2k+9ppUFwUO4J2gw1gJ3sS801vLe6aMcKc1lqHcIn0x4UOhQdblGw7cpSXyTcgoHC0veHzmGaR07C28L1ehrSCsfe91zFJoyoddg5I9zZwKsmIsBlr6ZSLcFRDhPFx5grS5cR0FrAcM9hjLdgAHWQPcOf/sA64NRY5lmgADrMtUtWynVfH/N4xXNDZgwzyDXYuTWaVBEU1j3JiptCd4OD+Pj+BimJgI3O5R5xFR9RYn8jEE2rBrUDWwu2UpcTTwd7MNY3OU1Am3FtV0qdWp+yothdX4MHlaOLO11LwPdOwizp5cktuSd5cPUKHR6Pa/3Hs3cdhFC5ctjiwp4OyaKwoYG7u/Rkyf69MPOQtwz40qalAmklX95zeMXqtUGuY624B+f2JFZjUVq/hhJ34TMRNz08GZVCrnVTwImdPbciJW5/x/+LKWuieTaTaTW78DCxIbBHovo4ji+TRdNWr2WY1XRbC/diUwmY37AXIZ7DBW68/X/tnWszD3CqrxoRnh14dUu04XugN2InfnnePHkHob7hrJ0gLjF8O9R2dLyu+XOdpYRdPP+5JrvK5cqAcPKwBu5OfR6JeVNKylrWo65iSvt3L7CxWa8sO+VRq8kpW4LybUbsDS1Z6z3y3RwGC5sTpBe0hNfc4LNJdtQ6hRM8ZnEGK/RWAico5PeUMzSzD2kNRQx3qcHj4eNwVPgsNJapZxPz8ayPvc07RzcWDV8DkN9xKkzaPV6tp5PZ2lCPK1qNY/17ssDEb2wNhf3O70ScxM3unmvu+451uYzDHItRm6NBkUUhXVvGTTAiq780mAVgfXqejYVbyW+9gQd7MN4s+vrBNj88fXVjVBo1fyYH82a/Fi8rJz4pOdCBnmIG26tlyQ2XzjLR2cuBliv9R7FvHY9hAZYcUWFvBVzjIKGeu7v0YsnekdibymuTff3cLebgYvbnGse97JfTlWryoBXZORmUGryKax/mwbFUZytx9DB4weszMUlPBS6Rk5W/0haw27crdoJ37DS6DUcrDzMz6W7sDGz5fHQR+nr0kf4htXnWfto1ih4uN0o5gUNwFxgm1dydQmLkw5xrr6Su9v34NnwwThbipvZV9TYwLux0RzMy2VEUAgr7ppCsJM4Bcjfw8Eqkm7eb1/zuEldNvCo4S7oNvjHJ3awngYtS0CxA2wXtvnHS5JETetW8mtfxcFqAKFun2Bu+se+sGqdnNT6HSTXbcQEE/q5LSDceQrmJm2X9JAkiTONZ9lQtIlqVQ1jPEdxl89EbM0MM4izqLWG189uIre5ghc7T2a6f987Nk9HkiS+OhfPkjMxPNixL6/0GG7Qgck6vZ67t2/i8IIHfnPM1MQWG4trS1FaWxh73/9sSJJEnXwPRfXvo9XX4+P4ON4ODwuTL5ckPVlNRzle/R0qXTO9XefRw2VGm/qLX5PZlMX6oo0UyosY6j6E6X5TcDQXl2CpVDTwVfZB9pen0t05kFX9H6ezo58we0qthh+ykliWHo+1mTnv9B3PzJBuwvyCJElEFebzQVwMF+rrmNc1nKfuwGBkmczsuv4GwETgTBgjt87VAdZYOnisuq0NpRuh0DVyonoV6Q178LBqb5gAq+IQP5ftvhRgLaKvS2+hAdahirN8nrWfVo2SRe1HMyewv0EDrH+HD8HJUlwLvKEDrEaFkqyKGvoG/9Znm5u6YmNx7TEJF2dClQq7NiO3hk7fQmnjl1Q0fY+VeTAdPVbjaD1ImD29pCOtYTcnq1chk5ky0utZOjuOFbZhJUkSZxrOsq5oA3XqeiZ4j2Oi93gsTcUlPLObyliSsZvT9QXc5duTx8PG4mYpUM1L3sz7p4+xs+Ac/T0D2TP+ATo6i5s/26pWszwpkW9PJ+Hn4MAPk6czNEhcR4hOr+doZh6jO7f7zTFTE7vrx1TmxoqdvwwyE3sk02AkXR5tvRxoViZRVP8uLerTeNk/SIDzf/6Q01HpWjhTv5PTdVvQSRp6uMykp8vMNleTKJIXs6FoE+eaztPbuRfPhj2Np5VhhkrrJD0bCuJZkXOQAFt3fhzwBCF2hpt99GuaNSr+k7CPvUWZvNF7NPd26G3wa8iuqyWvvt7gdo20Pc2q0xTVv02LKgU322n4O72EhZm473ep/CwxVSuoUubQ2XEsA9zvx9bMVZi9SmUlm4q3kFSfQheHzrzV9Q38bcQlWFq1Kn7Ki2ZdQRyulva8HzGf4Z5dBM7ukPi54BwfpUZTp5LzSOdIHunUD1tzcWXC56oqee94DPHFRYwOCWXZxMmEOIubvVTT0sqXR0/wxuS2HbpvxLBcVNb7koqmHy4FWGtwtB4ozN7FAGsXJ6p/xFRmxkivf9PZcYzQAOt0wxnWF22kXl3PRO/xTPAeJzTAymoq4+OMXZypLzRIgFUub+KD08fYWXDeYAHWsqQEvktJxs/RMAHWluR0Pjscj72VJQeevV+YLSNiuSj8sJ3ihg/QSyrhwg8Axa2pRFd9Rb2qiO7O04h0u0eoul6Zopx1RRtIa0ynj3MvXuj4HO6WIqsQW1iRfYgdJUl0dvTl+36P0dVJXFJepdPybUYiy87F42xpw7LB0xjn30FoknxnViYfHI+hVaPm+f6DWNi9Bxam4jpCkgpKeHdvNNmV1aQvfkaYnT8D//jEjqSvA20GMrvH2uwzlZoCiho+oF6+H3vLfnTx2omdZfitf46uidS67aTWb0dCT4TzNCJcprf5YOQGdSPbSrcTUx1HoE0Ar3R8kY4O4no3f01BSxVvpW/jfGMJD4YO596QoUJ3wW7E+bpKnojbTrNaxY/D5zDI2zAzhX5Nbl2twfrZjYhBpS2hqP4D6uS7sbfs+4d9wc1SryomrnoleS3x+Nv0ZH7QCtytQoXZa9W2srN0F4erjuJh6cGzYU/R3TFc2IJAJ+nZVZLMipxDqPQaHmk/ijmBA7AQ6C8Sq4p5J+UIabXlzAwJ59/dh+BlI3B2R3MTS04cZ0fmecI9vdgwYw59fcUlyVQaLT+dSOHrmFPYWJjzxmRhpowI5GplPbVBAqyi1hRiKpdRry6hh8t0+rjejaWpuDavMkUZaws3kN50jr4ufXip43O4CQ6wlmcfYmdJEl0c/YRXBKp0WlZmJLAs/QSuVjYsHzydsf5hggOsDD44HkurRs0LAwezMDwCc4EB1qmCEt7bE0V2VQ3zIyN4Yng/YbaMiOWi8MNiWtVn8bCbh5/TvzE3FbeB1KSuILb6a3KbYwm07ctEn9dwthSX8JBr5ews28WhyiP4WHnzcscX6OQgru1Sq9expegkK3OPYGFqzv+6zWCCT4RQdb1DJTm8k3KEKkULj3XpzyOdIoUqeaZVVfJm9FFSysuY3aUbz/UfJLQCubyxmY8PxLI3LYsBoQHseGKBMFt/Fv7RiR1JkkC+ETAFi9vf0VJrK6lo/oGKph+wNA8gzP1bnKxH3PJDWa5tIKVuM2cbfsYE018SOlambRtMqPVqDlQcYlfZHmxMbXg45AH6u/YTqh5zJUqdhjX5MazKiybEzoOfBjxBe/s7J2cnSRLrck7zZvJherj5smHU3XgKDOBuRE5tLQGOTgaxde7cOZ544gnGjRvHyy+//JvjqampbNmyBUtLSw4dOkRMTIxBruuvilbfRFnjciqavsfCzIf27itwth4jbIEu1zaQULOatIZdOFv4M8XvXQJtxfV9XzmDy0Qm4+6AuQx1HyJU3jOxNpdPM/eS31LFdP++PNRuBM4CWw7zm+r4IPUYB4qzGegVxO7xD9DZRVyVVbNKxYrkRL4/nYK7rQ2fjZvIxPZid832pmXzyaE46lrlPDioNw8MMkxlotHftC3NqtMUGlBZr1FdTmzV11xoiSPINpKJfm/gbCGyQk/OjtKfOVJ1FF9rH+GbT1q9js2XAiwrU3PeCJ/JWG9xynqSJHGwJJt3Uo5So2jl8a79ebhTJJam4vzpmcoK3oo+yumKcoMEWGUNTXx8IJZ96dkMbBfIjlkLaOchLgnwa4w+p+1Qa6sobviQmtat2Fv2oav3bqHCDxq9kqTaDSTXbcLezJ3Jfm8TbCcuIaiX9MTVHGdz8TZ0ko67A+YxzGOI0BmjiTW5LMncTUlrLfOCBnJ/6HBszcRVIeY01vBm0iHiKgqYFNiJl3uMwMdW3JzZGrmcj+Nj2Xw+nZ7ePuyYew/dPMStp5QaLd/HJbEy9hTudrZ8OX8yIzqGGGy0x530N//YxI6kLUZqeh3Ux8H2cWQmfzxAkKtzqGhaSU3rDkxNHPB3fh5P+/swkd1a1rNVW8/pus2cqf8ZcxNL+rjOJ9xpcpvvgEmSxKn6JDYWbaZJ28xE7/GM9xortJT51/YPVZzli6z9NGkUPNxuJHcHDcLMRPxg5mvRpFbySsI+9hVl8kTXATzdbbDQ4YQ3Qq3TsTXjHKNCxFVbXEl6ejqDBw/+3WNarZYXXniBgwcPIpPJmDp1qkGu6a+IXlJR2byGssaL0/X9nV/E034BJjIxLTtavYrT9dtIql2PmcyS4V5P0cVxPCaCFiCSJJHacIaNxZupVtUw2nMkk3zuEjqDq6Clis+z9hNXnclA9w68030uwXbi2hLqVXI+TzvOmuwUguyd+W7YLIb7hApMkunZkH6WzxLi0ej1PNd/IAvCI7A0E/d4Tiks5YP9MaSVVjC5eyeeGTUQL0fDJbGN/qZtUGsrKW74gJrW7QZR1tPoFZyqXU9K3WYczL2Y4vcuQXbiVCL1kp6Y6li2lGxHQuKewPkMcx8idPPpZE0OSzN2UyKvY37QIO4PHYaNwAAru6GaN5MPc7yigMmBnXm553C8bcQFWNWtrXx0IpYt58/Ry0AB1nexp/g2LgkPe8MHWJcx+pzbRy+pqGj6gdLGLzEzcaSd2xe42EwUuvmQ0xxFbNU3qPQt9He7lwiX6ZjeYmx1K+Q057KmcB2F8iJGeAxnut8U7MzEbSCVyuv4NHMv0VXnGeTekY97LMDfVlzCs1Gl4NO0OFZnJ9PByYONo++hr4e4qie1TsdPZ07zeeIJbM0tWDJmAlM6dBQ7C+18Lh/sj6FBrmDR0EjuG9ATS3PDpjvupL/5xyV2JEkCxUak5vfAxAeZy3pkFj3/0Ge1qE5T1ricesUhrMyCCXJ5Aze7Gbc8DLVBXUpy3WYyGg9gYWJLP7cFdHOejIVJ2w/JK2wtZG3RBrKasxng2o9Z/jNwsRC3s/drzjeW8EnGbs42FF3sVW8/BjcrcYuYmyG6LI9XEvai0ev5acTcO9Z6dSXbM89TLW/lkV59fve4Wq+gVlVwzffXqSoBUCqVV71uZmaG2e8EjHPmzCEjI+N3PyshIQETExM+++wzGhoaGDp06E3+FP8cJElPrXw3JfUfodZX42V/Pz6Oj2EmSGlPkvRkNh0mvvoHlLpmerrMopfrbCE+4zKFrUVsKN7I+aZM+rj05t9hz+BhJU7et0HdysrcI2wrTiTY1oMvet9PpFt7YfZUOi2rs1P4Iv045jIT3ug9mjkC5T0lSeJofh7vH4+hqLGBe8IjeLJPP5ytBQ5HrWtgyYFYDp7PJTLYny2L7qazz42TZHpJe11/A6CV1Oh0upvyOUZ/c3tcDLC+vxRgORkkwLo4iH0lar2cAe4P0t15itAAK7s5hzWF6yiWlzDSczhTfScLDbBK5LV8mrmXmKoMhnh0YkmvhfjZiAuwGlQKlp6NZW1OCp2cPdk8egG9PcRVPal1On48k8IXCSexs7Dg07ETmBQmNsA6cC6HD/fH0KhQ8viwSO4d0BOLm0xYy7UN1KoU1zlej16vN65xDIAkSTQojlJY/zZqXTk+Do/i7bAIU4HrjWplLtGVyyhVnKWT41gGuj8gdE5gnbqeTcVbOFF7kk72HYXPCZRrVay6NCfQ29qJz3rdR3/36wsU3A46vZ6NF86w5Ew0AG/2Gcuc0O5CBWGiC/J5K/YYJU1NPNSjN4/17outQPny7Moa3t0TRUJ+MZO6d+S5MYPxdLi5Z4ZaJ7/uGqdBfXFQ+1/B3/xjEjuSpATlQST5BtAkg+3DyOyeQnaLO+l6SU29/ACVzatpVp3C1iKc9u7LcbYejewWd8nr1SUk1Kwmu+kY9uYeDPZYRGfHsUJUa2pVdWwr3cHxmnhCbIP5X+f/0M7OMNUgcHG6+w95URypSCfcKUB4r/rNUNLSyEepUfxceJ4JAR15s89YXK0MqzbzayRJ4lBeLktOxDG9Y2d87X8/MVChyGBN/kPX/JzGKhVarRbrXwWJr7/+Om+88cYtXVNJSQlJSUls27YNCwsL+vTpw549e/D19b2lz/m70qiIo7jhQ1rV6bjZTsfP6d9YmvkIs1fcmkps1QpqVHl0dhxLP7d7hcoJN6gb2Fq6g9jqOIJsg3i108uE2YtLsGj0WjYVnuS7C0exMDHlpc5TmOTXC1OBbRD7irP44PQxKuTNPNixL4917Y+9ubhd+nNVlbwbF82JkmLGtwtj5aSpBAlUn6mXK1gelcCGxDP4Ozux7J4pDAsLvumgTq6rv66/AahV5bNu3TomTJhw1eu36nOM/ubaXAywDlNY/w4aXSXeDo/h7fCw0ACrUplNdOVXlCvO08VxHP3dH8DWTNx3tVZVx6biLZysS6CzQyfe6vo6foIHsa+6EMW6gjj8bFyEJ5B1ej0bclNZcjYGE2S83Xccs0LChQZYxwryeDsmitLmJh7p2YdFvftiYy4uKZdVUc27e6NIzC9hcvdOPDdmEB43GWBdJqPhADnNP1/zeGp9PlXJLsY1jmAUmgsU1r1FozIaF5vxdHJejaWZuPtRoW0kvuYHzjXsxdMqjDmBX+JlLW6ujVqv4UDFQXaV7cHezI4n2z1Gb+deYhOe5Wf4Mms/rToVj7Ufw+zAfkLniiZWFfNm0iEyG6pYGNaLp7sNwlGgul5+Qz3vxERxtCCPMSHt+H7ydKFjJRrkSr44Gs+GxLN09vFg3cNz6BFwa2vwEvkZ1uTvuebx8pIWmpub/xL+5m+f2JG0eUjytaDYCVIrWA5H5rIGmcXvV0JcC6WmgKqWjVS3bEarr8fZeiQdPdbgYDXglh1AlTKH5NqN5DTH4GjhwxjvlwhzGCakfUKulbO7fB8HKw7haO7AIyEP0c+1r8Hm6KQ1FPHDhSjiqjNpZ+/FuxHzGOnZ9Y5JmMPFtqvl507wfeYpvGzsWT54OuMCDDcs+lrk1tWyOPoox4uLmBTWkRcH/n4ZH4CXdSfuCf6tDPplyi0rec9sGM3NzVe9/nuZ5Rthb29Phw4dsLW92BLYqVMnUlJS/vGLnlZVOkUNH9CkjMPRapjwPvNaVSFxVd9Q0JpAoG1f5vu8hJuluOoytV7N/oqD7C7bi62ZDQ+HPEh/10ihcyaiqs7zZdZ+KpWNzAscyL2hQ7EzEyejnVpTxjspR0iqLmFKUGee7z4MPztx8uzlzc18cvI42zLOEe7pxaaZc+ntI+4+Umm0rD55mm9iTmFuasLL44cxq3fXWx6OamPqzD3B3173nFWWU5g/fz4rV6686vVb9TlGf/P7yNU5FNa/SZMyDhebuwhwXoulmbjfiVxbT3z195xr3I+3dWfmBn6Jp7W456Rar2Zf+QF2l+/F0dyBf7V7gl7OPQQq3enZV5bKV9kHUOo0PNlhHLMC+gltCT9ZWcTipEPkNtawsMPFAMvBQpx/y6uv4+3YKKIK8hkX2p5VU2bg7yjOv9W3KvjsSDybk9Lo8gcDrMt0chpLpNu1J7lXOX9Jba8WYmNjr3rduMZpG7T6JkobPqey+UeszEPp6LkOR6v+wuzpJC1n638moeYnTGUWjPJ+nk4Oo4Sq66U0nGZ90SYaNY2/qOtZmIirKMloLGVJxi7SGoqZ5NeLx9qPxlWgul5ZaxPvnz7KrsIMBnoFsXfCg4Q5iauyblGr+fLUSX44nUyQkzM/Tp3B4IAgYfa0Oj2bktL4/Eg8ZiYmLJ4yiuk9umBicuvPDD+b7swPfuOaxzPkWay2f4CqqqqrXv8z+pu/ZWJHknSgPoEk/xFU0WDqh8z2YbCejsz05r/UeklFvfwgVc3raVKdwNzUEw/7eXjYzb3lBZUkSRTLU0iq3UixPAU3yxChCR2NXsOxqih2lu1GkvTM9JvGSM8RmJuI26W5jCRJnK4v4PsLx0iszaWroz9Lei5gkLu4st+boVmj4sesJFZmJCIDXowYxj1hPYUOKLwZWtRqlp1K4NvTSYS5uLJx5hz6+Fx/R8TCxBpXy6BrHldZXnw4WVn98UVjUVERAQEB9OnTh6qqKiRJQiaTUVpaSmio4aq9/mwoNQUUNyyhTr4bW4vuwhc8rdo6Ttb8yLmGfbhaBjPV/wMCbXsJsydJEidrE9hUspUWbQt3eU9gnNcYoTO4MhtL+TRzLyn1+YzxCufLPg/gbS2uKqC09WK13s6C8/R292P72HuJcBNXZdWqVvNNyilWpiTham3Dp+MmcpfAwch6vcSetEyWHjpOvVzBvQN68tCg3thZ/bG/oYnM7Lr+BsBMZoGpqekf9jlGf/P7aHWNlDR+SmXzamzMO9DJcyMOVuLm2ugkDWfqd5JQ8xMWJjaM9X6ZDg63LgJxs0iSRFJ9MhuKNtGsbWGyz12M9RqDhcC1yrmGYpZk7OZcYwlT/XqzKGy00EHsJS2NvHf6KHuLMhniHcwXg6bQzlFclWWzSsWXp06yKjWFYGcX1kybxQD/AGH2tDo9G06d4YsjJ7AwM+XtqaOZEtH5DwVYl7Exc8LV8tqzf2zMnKk3kRvXOG2MJOmpbtlMccNHgI5Al9fxsJsrVF2vsDWZmMplNGrKiHCeTl/Xu7EwFVc9X6ooY23hes41nSfSpS9z/GfhailuJEWdqoVlOQfZVZJMNyd/VvV/nE6O4pKGSq2GbzISWH7uBO7Wdnw9ZAaj/doLTJJLbM88z4fHY1HptLwyaCh3d+suVF0vMb+Yd/dEcaG6jnv6RfD48H7Y/8H1DYCFqc111zhOFi3AXyOm+tskdiRJDepEJOVBUB0GfQ1YRCJzWnaxSucmkyeSJNGqTqW6ZRt18t1o9U04WQ8nzH0lTtbDbtm5SZJEYespEmvXUq44h59NhFDFGrVeTXRVLHsr9tGsaWa05yju8pmArZk4CdLLKLRqDpSfYWtxAllNZUQ4B/FF7/vp69rujiV09JJEfEUBW/PS2F+chZnMhAc69eHBjn2F7pTdiCaVisN5uezPzSGmqAALU1NeHTyUu7uJm+lxPbZu3UpMTAzm5uZ06tSJ0aNHM3ToUHJzc3F3d+e1117jqaeews7OjilTptC5s7jKlD8rGl0tpY1fUNW8Fkszf9q7LcPZZpzAoboqUuq2kFS7HktTO0Z5P09Hh5HCBiMDXGjJY23hevJa8xnoNoCZftNwthCXYKlWNrEs+yB7y07TxdGPbyMXEe4sLgBp0ahYce4k32Ym4mVtx7LB0xjnLy7BotPr2ZJxjk9OHEeh1fB0ZH/u695T6GDkhLxiPjwQQ0Z5FdN6dOGpkQNuus/cUBj9zY2RJB1VLRspafgYkBHs8hbudrNvueX7VihoSSSmajlNmgp6usyit+s8oXO7iuUlrC1cT0Zz5qWZfzNxEehvalTNLM8+yK7SZCKcg/hpwBN0cBCX0FVoNaw4f4KvzyfgbWPPt0NnMsJX3HpIL0lsOZ/OR/FxaPV6Xh08jPndugtdU5y4UMS7e6MorK1nQf8ePDY08g8nkEVi9Dk3plmZTGH9YlrV5/G0vxs/x2cxM3USZq9RXXZJXe84wXb9meT3Jk4W4hIerdpWdpT+zOHKo/jZ+PKfTi/RwV7cXJvLbeXfXjiCrakli8NnMda7u9Ak+f7iLN5JOUq9Ss6/ug7kwU59hW5ep1aUszj6KGcrK5jbNZx/9xuIq0B1vdKGJj7aH8OBczkMbh/EJ3MmEuJuuDmxN8ud9DcySZKkNvs0gSiVSqytrVEoFL9kzCRJCarYS8mcYyA1gVknZFZjwWoMMrN2N/35Km0JNa07qGnZhlKbj5VZKG5203G3nY6FmdctX68k6cltjuNU7TqqVbkE2vahr+s9+Nh0ueXPuhmUOiVHq6LYX3EAuVbOUPchTPAeLzQLfZkSeS2bC0+yqzQZlU7DSK9uzAyIpJtTwB1L6OQ31bE1L43t+emUyZsId/VmZkg3Jgd2Ftpbej3kGg1H8i+wOzuT6IICJCQG+AcwLrQ9Y0Lb3/TQ1EWLFhEYGMgrr7xyzXPKysoIDQ1Fobj28EEj1+eyz2lpraVBvYaypm8wNbHB1/EZ3O1m3bLq3c0iSfpLg0q/Q6VrppfrXHq6zBQye+sytao6Npds5UTtScLs2zM/YC7BtkHC7Cl1atbmx/FjfjRO5rY8ETaWMd7hYhMseWksORONUqflya4DubdDL6ELnriiQt6Niyantob53brzVN/+Qhc8uVW1fHwglujsfAa1C+T5sYPp4HX7Zdf79u1j8eLFnDx58rrn9enTh3feeYcxY8bcts1/IleucdScobBuMXJNNl72C/F1fBozU4EtNOoSYiqXUdCaSKjdIAZ7PIKjhbiER4umhW2lOzhaFUWgTQD3BM6nvf3Nr9duFbVey8bCeL7PPYaduRX/6jCO0V7i/I0kSewpzOC908doVCt5sutA7u/YW6i/SSkvY3H0Uc5VV3F3t+48EzlA6CD2kvpGPtgXw+GMXIZ1CObFcUMJdmubpJyFhQXFxcV4el67Yuedd96htLSUZcuWtYnNfxpX+hsTswaKGt6ntnUnDpb9CXR5DRsLkXNtFCRdoa43xOMx4ep60dUxbC3ZDsAMv+kMdR8sdCRFfHUWSzP3UK5oYH7QIO4LGSpUXS+zvoo3kw9zorKQqUFdeKnHcLxsxLV5VbW28FF8HFszztHHx5fXh46gs7s4tVKFWsPK2FN8H5eEp4M9L08YektzAq/H7NmzGTlyJI8++ug1z0lPT2fs2LGUlpbetj3R/OUqdiR9C5IyGkl5AFRHQZKDeU9kdo+B5RhkZjcv26bWVVPb+jO1rbtpVadiZuKMq+1kQm0/xdai2x/6wugkLVmNR0iq20i9uph29oMY6f1vPK3EZIVbtXKOVh1jf8VBNHoNIzyGMc5rLE4W4haBADpJz8maHLYUnSS+OhsPKwcWBg9hin9voSXN16Na0cKhkhy256eTVF2Ch7Ud04K7MiOkG+0Flj1fjxq5nJMlRRy4kMOR/Dw0Oh0D/AN4c/hIxoa2x/E2yvqMGIazZWMws1Di4/AIXg4PYWoicDdCnkZs1QoqldmXBpXeJ1QJQqVTsbd8P3sr9uNo7mC4wYHZB2jWKLg/ZDjzggZiZSqu7SK+ooC3U46Q3VDN/PY9eLrbYKFD0i/U1fJeXAxHC/IYHhTC5+Mm0s5F3N+wurmVL4+eYEtyOu09XPn23ukMbBcozJ4RseRWP0Or/gCOVoMJd/8ca3NxCQ+VrpVTtWs5XbcNZws/pvl/SIDtH1MJvRl0ko5jVdFsK9mBqcyUB4LvZZDbQKEBVlxVJksz91ClbGRB8BAWhgzBylTcHI3zdZUsTj5EYlUxM0O68WLEMNytxa2JKlqa+fB4LDuyMujv58/ueQvo6CZujkarSs3K2FP8cDwZXycHvlk4jcHtg4TZMyKW0sbl1KlWYmbiIrwK+aK63hHiqlei0SsuqetNxVRgm1dWczZrCtdRIi9llOcIpvpOFtrBUNRaw6eZe4mrzmSYZ2c+7XUfvjbiNtgbVAqWnIlhXe5pujp7snXMAnq6i1XXW5WawheJJ3CwtOLzcROZKLCtXJIk9qVn8/GBWBoVSp4c0Z+F/XvctLreP5G/3G9GqhqMZKW/lMx57mJljum1s/q/RqdvoV5xlNrWnTQoojGRWeNiMwY/p6dwsBqIyS2qZF1GL+nIbDxMYu0amjSVdHQYyV2+r+NiKWaBXaGs5GDFYeJqjiNDxmjPkYz1Go29ubgMLUCZvJ6fS5PYXZJMlaqJXi7BvB8xj8EenYQOHfw9JEkio76Kw6U5HCnN5WxtORYmpozya88Pw2YzyDvY4G1NTSolJ0uKOXHpv+zaGkxkMnp7+/Lq4GGMC20vdNfeSNvjYjOWEM9nMTcVlxxs0lQSV/UNOc3R+Nn0YH7QCtytxPX4S5LEidoENpdsQa6VM9VnEqO9Rguda5HeUMwnl+Za3OXbk8faj8bNSowcPFys2nvv9FEOleQw3CeUzweKnWtRr1DweeIJ1pxNpZ2Lq/DBgQq1hh/jU1gZewp7K0venjqayRGdhKrrGBFPq/o8Yd4rcbIeKXCxrCej8RDHq79FJ2kZ4rmIbk6ThLZ5ZjRlsqZwPeXKckZ7jmSKzyRszMQ9CwtbqlmauYf4mmxGeHYVPrerTilnyZkYNlxIJdzFW/jcLpVWy7enk1melICzlTVfTZjEuFBxczQkSWL32Uw+PhCLXK3h2VEDmR8ZgYWZYdd9RtqW8sYVBHs8gbfDI5gIrAr+tbreAPcHsBGsrrexeDMJdYl0cejM290W42stcI6eVsX3F46xvuA4/raufNn7Afq6iUvKa/V61uee5pMzMZiamPBe5HhmhoRjIrBL4mh+Hm/HRlHe3MwjvXqzqFdfrAWq62WUV/Hu3iiSCkqZ2qMzz44eiIf9n6ut/M/IXy6xI3NcjMxxFDKTm8+AXk7m1LXuoUERhYQOR6sBhLotwdl6zG1JheolHVlNR0moWUOTppxOjqOZ5nq3kDJmSZLIbslhX/kBUhvO4GrhynS/qQx1H4y1qbiSW41eS0xVBjuKk0iszcXZwpa7fHsyya83gbaGrYTR6fWk1JRyoDiL/cXZlLY24m5ly3DfdjzRZQCDvIOwMRO3G/drlFoNp8pKOVFcTHxJEelVleglic5u7gzyD+SF/oPo4+uLg6WxMuevSqDL/zA3FfP30+gVJNVuJLluE3Zmbtzlu5gQu1tX2rsV8lryWVu0ngsteQx2G8gMv+lCK/wqlY0syz7AvrJUIpyD+LH/43QUODiwSa3ki/Tj/JiVRKCdM6uGz2aoj7gkmUanY23aGT5LOIGZiYw3h49idueuwhIser3ErrMZfHroOE1KFQ8O6s39A3thbSF+ML4R8XTz2YWNtbj7sUKRQVTlV1Qps+nqNJH+bvdhbSbOXrWqhg1Fm0iqTybcsRtPtnsMb+tbb2+/WVo0Sr67cJQNhfEE23qwrM+D9HYVeP/rdazJTuHTtDgsTUz5sN8EpgV3ExZgSZLEobxc3o2NpkreymO9+/Jwz95YmQkcNl1ayTt7j5FaXM70nl15ZtQA3OzEz200Ip5uPvtwtAsR9vm/UdcL+kpYBwP8Wl3PkafbP0kPpwih6np7L6nrqXUanu4wnhkBkYLV9Qp5I+kQFxprubdDb57qNlC4ut5bMVFEF+Yzvl0YP02dgZ+DaHW942xOSqerrycbHplLd39vYfb+bvz1EjvWk5HdRFb5oqLVIWpat9OoiPslmRPkshhnmzGYm95eaZxe0nG+8QCnatfRrKmio8Mopvq/K2Twl07SkVSXzP6Kg+S15tPOLpQn2i2ip3MPTAXusJXK69hZcoqfS5KpV7fS36097/eYz2D3jgatzlFoNRyvKOBoaS6HSnKoUbYSbO/ClKDOjPYLI9zVW2iW+kpUWi1nKitIKC3mZEkxyeVlqHU6gpycGeAfwCM9+9DPzw8X69vbiZQkiZyqWqKz8nl4SJ/fHFfqlJTIr93rWaGouC37RsRysST5KMerV6LWy+nvdh/dnadiJlBqs0HdwOaSrcTVxBNm157Xu/xX8BwdDWvyY/gpPwZnCzvei5jHCM+uQufobLxwhiVnotFLEq/2HMn89j0wF+irogryeTv2GCWNTdzXoyeP947EwVJcH31SQQkf7I/hfFkV03t24V8j+xtkB0sn6a7rbwDUeo3w6/gnYCIT8/1p1dZyvOpbMpoO4Wsdzryg5UKrAlU6FXvK97G3fD8uFi48G/YUEU7dhdnTS3p2l6awLPsAWknPc53uYqpfH6FrlbjyfN5MPkxBcx0PdOzLk10HYGcu7v7Pqa3lrZhjxBUXcldYB14eOAQfe3FVj7Utcj49fJytKelE+Huz+dH5dPG9+Qr526FZ04xGrr3m8UZNk0Gu4++OpZmYKpYr1fXMTaz//up6/n1Y1H6UcHW9d08fZV9RJkO9Q/hq0DRCHcW1eTepVHyZeIJVZ04T6uzC2mmz6C9QXU+j07Eh8SxfHr2orvfOtNFM7n576no3i0KnuEFMVSn8GtqKv1xi53pIkoRCk0l1yxZqWrej1TfiaDWIIJc3LyVzbr/sT5Ikcptjia/5niZ1OZ0dx9LLdY6QhE6rVk50dQyHKo9Qr66np3MP/hswV+iQQa1eR2xVBtuKT5FYm4uLpR1T/Hoz1b+P0DLmX1OlaOFIaS5HSnI4XlGAUqelm4sXC8J6Mj6gI+0cXA0ymFmu0ZBSXkZiaQmJpSWkVpaj1unwtrOjr68/bw8fxQD/gDZZXKm1Wk4VlBKVlcexzDxKG5pwtrH+3cTOhZY8Xk1/7drXXS2/7esxIoZKRRbRVV9Rrsi4NEfnAWwFliSr9RoOVhxiV9lubMxseTz0Ufq6iFHlg4s+8nBFGl9k7adRI+f+kOHMDxqIpcA5OicrC3kz+TDZDdUsCOvF090G4SRwSHpuXS3vxEYRXVjAmNB2fDdpOoFOTsLsldY38vHBOPanZ9MvxJ9tj9/dJoORb5ZGTdN1/Q1AqeLPP1Twn4hWrya1fhuJtWuxMrFngs//aGc/ROj9n1h3ig3Fm5FrW5nuN5UxnqMwMxG33DxbX8jHGbvJbipjekBfHm03GkcLcW1eRc31vJ1yhEMlOYzwbcfXQ2YQ7CBujkajUslnCfGsPptKB1c3NsyYQ19fgXM0tDrWJaTy1bGT2FiY88GMcdwV3tGgYhix1ceJKou55vGzlan0l0Ua7HqM3DyGVtcrkheztnA9mc1ZhlHXUzbxVfZB9pSlEOEcxOoBTxAmWF1v+bkTfJNhOHW9zefT+Tg+Dp2k539DhjOva7jQ0RbxFwp5d08URXUNd0RdL7Mp+7prnPoL9Qa7ltvlb5HYkatzqJPvoVa+B6UmF0szf7zs78fNbiaWZm1TviVJEkXyZOKrv6dKmU2Yw3Cm+L0jJKFTqaziUOVhYqrjkAFD3Acz2nMUHlbiFvI1yiZ2lJxie/EpalTNRLq1M3h1TmlrIweKs9hXlEVydQkWpmYM9Aritd6jGeETiqfACe+XaVWrSSkv42RpMQklxZytqkSr1xPg4EgfXz9mdu5CpK8/fg4ObeJUq5pbiMkuICorjxMXipCrNYR5ujExvAPDOoQQ7vf7JeuhdiE83PWRa35uRXkFu9lx29dnpO1o1dYTX/0d5xsPGKQkWZIkUhpOs75oE42aRiZ6j2e811gsTcU9LLOayliSsZvU+gIm+vTk8bAxuAuco1Pc0sC7KUfZX5zFEO9gPp8odo7OlQFWe1c34TtYVw4q9XKw56v5kxneMUTYgq6uSY6Lw28DYkdzB97p+uZ135tqnSzkmoz8MSRJIr/lJDFVK2jRVtPbZQ69XOcIVdcrbC1kTdF6sptzGOQ2kFl+03GycBJmr0rZyJdZB9hfnkovlxDWDPwX7ezFtXm1atQsOxfPtxmJ+Ns5sWr4HIb6iGtj0en1bDyXxicnjgMIb/MEiMnO5/190ZQ2NHH/gF48PKQPtpbiKkk1Oh3mpr9dYw52H8hol1HXfN/nnp/TUtUs7LqM3Dr16hJiK1eQ33qSULtBTPF7x2DqekG2gfyv0yu0E6yut6Egnu8vHMXe3Jp3us9llNcfE9q5GX6trvdMt8HC1fWSy0tZHH2M85fU9Z7tNwAnK3FJueK6Bj7YH8ORjAsM6xDMl3dPJshVXFJOq9NjZvpb/9nRIYyZXWdd832ZskzuJUHYdbUlf9nEjl5SU9e6l/Lmb5Grz2Fu6o6LzQSCXd7B3rI3sjZUWahS5hBb9TUl8lQCbfswL2g5Hlbt2+zzL1PYWsiusj0k1afgYuHMdN8pDHEfLHTAYHpDMRsKjnOkMh07Mysm+/Vmun9foVPcr6SkpZE9RRnsK8rkTG059uaWjPRtx8OdIhnsHYy1wL5xuLhwSquqJKawgNiiAs5UVqDV6wlycqafrx/3hPegr69vm5Y7lzY0cfBcDvvTszlbUoGFmSmRwf48N2YwQ8OC8HW+ce+qlakVfjbXTiqaWN8ZmXkjv0UnaThTt4OE2tVYmNgIL0kGKJGXsq5oA+eaztPPJZLZ/jNxtRR3T9erW1iRfYgdJUl0cfTjh36P0cXp5hUKbxW5Vs2y9BOszEjAx9aB74bNYrhPqLDfqVavZ0P6WZaevDisfvGwkczp0k34HJ0lB+NQqDU8M2ogd0d2F6YEodHp2Bx9hhW7ThCz9InfHDeVmV7X3wBCS96N3Bp1qiJiqpZR2JpEe/uhTPf4EAdzcS00zZpmtpZsJ6o6hhDbYF7r/CqhAud2qHQa1hUcZ1VeFE7mNrwfMZ/hnl2EBlg/F5znvdNHkWs1vBgxjIUdeglt80wsLeHN6KNk1dawoHsPnu7bX6iKZkFtPR/siyYqK5+RnUL5esFU/F2chNmrb1GwYlc82SXV/PDC3N8ctze3x9Pm2t9ZR3MHWjAmdv4MqHVyEmvXcrpuq8HU9aKqotn6d1bXq69kcZJh1fU+OB7LTkOq68Wc4od4w6jr6fR6dhxP57t9iex996HfHLc2tb7uGqfB2lixIwy1toqahm1UtaxDo6vDxWYcgc7/xd6yD7I2njfTrKnmRPX3ZDQdxsuqIzMDluJr061NbUiSRFZzNrvL95LWmE6AjT+PhT5Cb5dewubn6CU9cdVZrM6P4Ux9IR0cfHi163RGe3UT2i5xmWpFC3uKMtldcJ7kmlIcLKwY49eep7oNYqBXkNBsNEBlSwsxRQXEFhYQV1xIg1KJp60dgwICubtbBP38/PCya9vqoLJLyZx9l5I59laWjOwUyqKhfekXEmAcfPo3Jb8lgZiq5TRrKg1SktyibWF7yU6OVkXhb+PHq51eJsy+7ZPQl9HqdWwuOsnK3CNYmZrzWrcZjPeJELbAkiSJnQXn+OB0FK1aNc9HDOXesN5Y/M6Ob1txoriIN2OOcaG+joXhPXgqsp/QYehpJRW8szeKsyXlzOzVladHDsTVTlxyPym7mA83HqOwqoF7RopbjBsRj0rXQkLNas7U78DFMpAZAUvwsxE310ar13K0KortpTsxNzHnoZAHGODaT+j9H12VwWeZe6lRNXNvyBDuCR6ClcB1S1ptOYuTDpFSU8qs0O68EDEUNytxg4PLmpt4Py6G3TlZDPIPZO/8e2nvKm6ORotSxfLoBFafOE2gqzPf3TedAaFi1Fzh4o75ltizrNgVj7mZKU9OGSTMlhGxSJKejKbDHK/6Fp2kZrDHo4Q7T/4bq+t14YveD+BjYxh1vW4uXmwbu5AebuLEJv4J6nopOSV8vDmanNJqZg8V9zz8s/CXS+ycKR2BjY0DHnbz8LC/W8jgL61eRUrdZk7VrsfGzJnxPv+hvf2wNv2iS5LEmcaz7CrbS25LLmF27fl32DOEO4obLqrSadhXlsraglgKW2sY6N6B5X0eoqdLsPDe6VaNmgPFWWzLT+dEZSFWpmaM9gvjsS79GewdIjQw0+h0JJeXEV2YT0xhARk11ViYmtLHx5fHevdlcEAQHVzd2vx3UFzXwIFzORw6n3tVMuexYZEMCA00yoT+jalXlxBTuYyC1kRC7QYx1e89HC3ETfXXS3qOVUWzrXQHMmTcG7SAIe6DhO5gnazJYWnGbkrkddwdPIj7QoZhYyauzevKAGt2aHee6z4Ud2txAVZxYyPvxkVz4EIOQwOD+WrCJEKcxVU9VTe38unh42xLOUevQB82L5pPFx9xVRaV9c18ui2WA0lZDOwSxMePTiLAw3Bz1Iy0HZfFHOKrv0eSdAz1fIKuThOFBljnGs+zpmg9lcpKxnmNYZLPRKHqnHktlSzN2ENCbS5jvML5V4dxeFo7CbNXo2zlo9RoNl84Q083X3aOu49uruJ8uFKrYWVKEsuTEvGwseXriVMYFSKuClGvl/j5zHmWHIxDrdXx4rghzO3T/XfbFNqKxMwiPt4cRUFlPfOG9+DhCZHYWRtujoaRtqNCkUlU5ZdUKrN+UdezMXMSZq/mkrreqfpkujl25Yl2i/CxFnc/3nl1vYlMC+4qVF3vcN4F3omNMpy6Xlkl7+6J4nRxmUHU9Srqmvls+8U1Tr9OAWz87wJCvMUlyf8s3LHETn5+Pt27d+fgwYP069fvpt8X5LoYX5cZmAjoE5ckPZlNRzhR/QMKXRN93e6mh/PMNleqOdd4ns0lW8lvLaC7Yzfhu+pKnYbtxYn8lB9Dk1rOOJ8I3o+4m1B7seoGkiSRVF3C5gtn2VOUgVqnY6hPCJ8NnMJI33ZC26x0ej2JpSXszslif2429UolgY5ODA0M4vkBg4j09cfGvO3tqzRaDmfksjkpnYT8YhytLRnZqR2PD+9H/xB/Ya0Ut8umTZtITExELpczd+5chgwZ8ssxnU7H448/jq+vL4WFhYwYMYK77777Dl7tH+OP+pxb4eKO+RrO1O/A2dKP6f4f4W/bQ4ity2Q0ZbK2cD1ll3awJvtMwlbgDlaJvJZPM/cSU5XBEI9OLOm1ED8bcQ/LakULH5+JZvOFswYJsFrValYkJ7IyJQlfewe+mzyN4UHi2krUWh1rLw0qtbe04ONZE5jQLUxYQKfWaFlzJIVv9yXgam/DJ4smMzRc3Nyea/F39zmG8DcAZfJ0oiu/olp1gXCnSfRzvxcrU3FzraqU1awv3khK/WkinLrzdPsn8bISt5Zo0ihYmXuYLUUJhNp58nXfh+nhEizMnlqn46fsZD5Pi8PGzJxPBkxiSpDYNq99uTm8FxdNvVLBk3368WCPXlgKXCucLangnT3HSC+tZFbvbjw9cgDOtuKScmW1jXyyJYajqbkM6hrMR49MItDTsElko79pGy6q631HRtNBfKy7MT9oOe5W4ubaXK2u58yz7Z+iu1O4UPnyXaUpLDewut5byYfJvxPqeu078NKgIfgKVtdbevg421LS6e7nzaZH59HVV9wsNKVay+rDSfyw/xSuDndmjXMn/c0diTL1ej0ffvghXbp0ueX3utuJSeoUtSYTW/UNtap8OjuOpZ/bvdiZt+0QzgsteWwp2cr5pky6OXZlcZfXCLIVV/Kq1KnZVpzI6vxYWjQKpvlHsiB4sNBhpgD1Kjnb8tJZn5vKhaZaOjp58Hz3oUwO6oKrlbiAUy9JnK4oY092FntysqmWt9LRzZ0HevRmQvswgp3ELSSyKqrZmpzOz2cyaFaqGRIWxLJ7pjCoXeDvDgb8M9HU1MT7779PcnIySqWSPn36cPbsWUwuzQ85duwYlZWVfP311zQ0NNCxY8e/3KLndnzOTX2+pCO9YS8na1YhITHE8zG6Od0ldMe8WlXDxit2sB4XvIPVqlWx6kIU6wri8LNx4fPe99PPTVxCWq3TsSoriS/S4rC3sGTpgMlMDuosNMDamZXBB8djadWoeb7/IBZ27yG0mjA2p4D39kZR2tDEAwN78/CQPtgIbMuMTcvj483RVDe0cP+4PiwY1RsrC8MvA/7uPke0v4GLreJx1d+Q3XQMP5sezA/+GjdLcQkPpU7JrrI97K84iLulG8+FPUO4U9u2pl+JTtKzs/gUK3IOAfBCp0lM8e+DqcAqxKjSC7yVcpiSlkYe6hTJ4136Y2subo5GZk01b8Uc40RJMVM7dOLFgYPbvA38SqqaW1h66Dg7Tp+nV6AvWx6bTydvD2H2FCoNqw6e4seDSXi52PPZ41MY3E1ckvxaGP3N7XNRXW87ibVrsDSxY7zPq23eyXAlkiSRUJfIxuLNyLVypvlNYYznKMwFznK7Ul1vRkAkD7cbhZNgdb13Uo5ysCSbEb7tWCFYXa9JpeTThBOsPnOasDugrvf+9HFM6i5OXU+SJI6ezmXpthjqmuU8OD6Se0b1xNLcsGucO+1v7khiZ+nSpTz66KM888wz1zxHq9Wi1Wp/+bdSqRRyLQ3qUuKqVnKhJY4g20jG+byCq2VQm9ookZeytXQ7KfWnaWfXjlc6vkhHhw5tauNKLlfo/JgXTatWxYyASO4JHoybpbgFgyRJJFYVsz73NPuKsjA3MWVKUBeWDphEVxcvoZnSzJpqdmSeZ3dOFmXNzYQ6uzCvazh3hXWgnYu4SoJWlZpdZzLYlnKOtNJK/J0duX9gb6b26Iyng7ghZwByrYoLzZXXPF7ZUg389r4xMzPD7Fc7gQkJCXTo0AGZTIa1tTW2trZcuHCB9u0vBu1ubm7U1tYCUF1dTffuf70eVZE+p7j1NNFVy6hXFRHuPIVItwVYmYq7167ewXLh2bCn6O4odgdrf9kZvszej1Kn4ckO45gV0E/oDtbR0lzeSj5MWWsTj3bux6Iu/bAxExdgna2s4M3oo5yuKGd2l278u/9A3G3ElQgX1jbwwb5ojmXlMapTO75ZOA2/mxia/kcpqqrn483RxKXnM7pne5Y/PQMf15tP8Gsl3XX9DVxs9dXpdEafg1h/o9Wrr2gVd2Ki7xuE2g0Uulg+UZvAxuLNqPQqZvnPYJTHCKHy5afr8lmSsZsLLZXMCujHQ+1G4mAurqIkv6mOt1OOcLQ0lzF+YfwwbDYB9uI2guoVCpaePM669LN0dvdg86y59PIWN0dDrdXy04nTLI9KwNHaiiWzJzC+q7iqQEmSOJiUzafbY2hRqHl88gDmDe+B+S20n9erWmm5js+pU7Wg1+uN/gax/kaSJPJbE4ipXE6LtppeLnPoLVxdr4g1ReuuUNebgZOFuOdjtbKJL7P3s6/MkOp6J/g2IwE/O0dWDZ/NUB9xbV46vZ5N59NZEh+HhCRc/AEgLqeAd/dGUVLfxAMDxavr5ZTW8PHmKE5lFTO+b0eenjYYD6ebj8NaNdePqYpba4C/Rkxl8MROamoqABEREdc97+2332bx4sXCrqNWVcip2nVkNx3DycKXKX7vEmTXt01t1Knr2Fayg7iaePysfXmm/b+IcOou7GGq1GnYWXyKH/OjadYomBHQjwXBg3EVmNBp0ajYnp/OmuwUshtr6ObixRt9xjA5sLPQnS65RsOenCw2pJ/ldEU5fg4OTA7rxKSwDnR0cxeaSCqsbWBtQirbU86h0ekY3bk9z40ZTJ8gP0xM2nYO06msYvp2/K2ccnpDMfOOf3bN96prm9FqtVhbX70Yfv3113njjTeueq2mpgY7u/93gPb29tTU1PzihCIiIoiMjGTRokXk5OTwxBO/Vc35MyPK59SrS4ir+pq8lhME2fZlgs//cLEUJ3199Q6Wgul+UxnjOUpogHW+sYQlGbtJbyhmil9vHgsbjbOFuKTlhcZa3k45TFRZHuP8O7B6xFz87JyE2atubeWjE7FsOX+OXt4+7Jx7D109xLWVtKrUrIhO4Mf40wS4OPLtvdMZ2E5c1WarUs23+xJYeySFAA8nVjw943f9yY2oU7Vc198AXGipZN26dUyYMOGq1/9pPkeUv5EkiQstccRWfY1c20Af13n0dJnV5q3iV5LfWsCawvVcaLnAEPdBzPSbjoO5uIrfSkUDX2Tt52DFWSJd27F24L8IsRN3P7ZoVHyZHs/3mYkE2buwesRcBnmLq3rS6vWsSzvDpwnxmMpMeHfEaGZ2FjtHIyorj/f3xVDZ1MwDg3rz8OA+QsUaMour+GhTFKdzS5nUvzP/mjIIN8dbT5LvLk1m0/nT1zxeVhiP93n5P36NIzKmqlcVE121nMLWRNrZDzGoul6wbZBB1PXWFxznBwOq6+0sOMf7p48h12p4IWIYC8N6Ca0KTiwt4a2YY2TWVLMgPIKnIwcIV9f7cF8Mx7LyGNlRvLpeY6uS5bvi2RJzljA/d354fg7dQ2999m5KfR4brrPGkRdU09zc/JfwNwZP7OzZsweA999/n6KiIlavXo1Go2Hw4MFXnfff//6Xl19++Zd/K5VKnJ1vfwelTlXIyZqfyGmOxsUigDHeLxHmMKxNWyZatXL2lO/jYMUhHM0deDjkQfq7RgobZKrSadhxRUJnmn9fFgYPwU1gy1VOYw2rs5PZnpeORtIzObAzH/W/i3CBsy8AzldXsT79LDuzMlBptYwOace/pw2kv1+AsMURXBw0GH+hkLUJqURn5+PlYM8jQ/oys3dXnG3afifxfGEln26LISm7hJTlz/7meFcnfz4e+Ng1319ZXsFIs29pbr5aDvTXmWW4mD1uaWn55d/Nzc24uf1/G+LWrVupqalh1apVNDY20r59e8aOHYutrbiKhrakrX2OUtdMYs0aztTvxMnCl6l+7xFo10foz1DYWsiaovUG28GqVTWzLPsgu0tTCHcK4Mf+j9PRUdyOcpNayedpx/kxK4lQR1fWjpzHAK8gYfbUOh0/nknhi4SLc20+HTuBSWHiSoSvlC9XarQ8P3YQ8/p2F9amqddL7Ek4zxc74lBpdDw7fQgzh4b/YXsulnasH/j0dc+ZZreX+fPns3Llyqte/6f5HBFrnBpVPtGVyyiRn6aDwwgGuj+Mvbk4KdomTRObS7YRWx1HqF0or3f5L8G2QcLsKXUa1ubHsiovGldLOz7scQ9DPToJrEKU2J6fxgeno1DpdbzSYwT3hPUUKl9+pbrefd178GTf/jhYipujkVddx/v7oonNKWBcl/Z8f/8MfJ3ErQnrm+V89XM824+n0TXIm9UvzaNL0B+verjLtxfTug655vFl8RKt1vXExsZe9brR39y+v/n/WYHbcbYMYLr/x/jbRgj7GX6jrhd8PwPc+htMXe++kKHcHTzYoOp6zwsWfyhrbuL94zHszs5ioH8Ae+YvJMy1bceLXEmrSs3yqAR+OpFCgIuTQdT1tsWlsXxXPKYmJvz37lFM7t/lD2+u93QOYfHAOdc8nu2cwUP2e6mqqrrq9T+jvzF4YufVV1/95f/v37+fBQsW/O6gr98rb7odqpQ5pNRtIbvpGM4Wfoz3+S/t7Ycga0PHodApOFx5lH3l+wEZM/2mMcJzBBaCekJVOg27S1P4IS+KBnUr0wUndLR6PUdKc1idncLxigIC7Zx4KnwQs0LCcbIUVyat0Gj4OSuDdelnSauqJNjJmX/17ce0jl1wsxHX/woXpUB3pJ5nXcIZ8mvq6R3ky6dz7mJEx1Ah6hF55bV8tz+RfYmZdAv25vvnZ//ueTZmltcdfm3drAPA6iYy85GRkbz00ktIkoRSqaS1tZWQkBCKi4vx9/enrKwMD4+Lffj29vaYCxg6LZK28jl6SUdaw25O1vwIwFDPx4Urz1y5gxViGyx8B0uj17Kp8CTfXjiCrakli8NnMdZbXJWhTq9nc95ZPk6NRifpeb33aOa2i8BMYInwsYI83oqJory5mUd69ebRXn2FDFK/zLnSSt7ec4wzJeXM6tWNp0cNwMVWnN9Kyy/no01RnC+sZPqgbjw2eQDOdrfnn81kpjcctm9pao6pqek/3ue05RpHqWvmZM2PnK3/GXfLUGYFfIqPTdc2v+bLaPVaDlceYUfZLixNLHkk5CH6u0YK3cE+VnmOzzL30qCR80DocOYHDcRSYICVWlPG4qRDnKktY167Hvy7+xChs/9Km5p4Ny6afbnZBlHXa1aqWB51Ub481N2FHx+YSd9gf2H2NDodm6PP8PXuk1hamLH43rFM6NPptquXnS1t8byOz3GxtENh0mj0N23obyRJz/nGAxyv/g5J0jHE83HhswLPNZ5nbdF6KpSVjPUazWSfu/526nofp0az6cIZehhIXe/blIvy5W42tqyYOJnRIe0Eq+tlsORgLGqtjhfGDmFu3z++iXQzJGeX8OGmY+SX1zF3eAQPT+yH/W2q69maXz+mUtheHG/xV/A3d0yi55tvvqGwsJBVq1bh4uJCWFhYm9vQSzpym2NJrd9OueIcLhaBgip0WjlYcZiDlYfRS3rGeI1inNdYYco0LRolW4sTWF9wnGaNgrv8evFg6HA8rMTs4FcrWlifm8r6nFQqFc0M8Q7hh2GzGeITIrRKpqChnrVpZ9h8Ph2lRsu49u35z6Ch9PX1Ez7dPKeyhnWJZ/g5NQO9JDGpe0eWzplIBy8xu6Rn88r58eApos5eIMDdmQ8emsionu0NMsXdwcGBl19+mX//+9/I5XK++uor8vPzufvuu0lISGDhwoUsWrSIN998k8rKSv73v//9JXayfs3t+Jyi1mRiqpZTryqmu/NUIt0WYGkqriVJJ+k4WhXFtpIdF3ewQh5ggGs/ofLlJ6qz+SRzN+WKBuYHDeK+kKFC5ctPVRWzOOkQmQ1V3N2+J8+GDxaaIM6rr+OtmCiiC/MZF9qen6bOwM9BYNXTFUoQPfzFy5dXN7bw5Y7j7Dp5nh7tfFn7ynw6+IsbjHo7/BN8zu34m8vD2E/U/IAME0Z4PU1nx3FCA6wzDWmsL9pAjaqGcV5juctnAlam4kr2c5srWJKxm+S6PMZ5R/Bkh7HC1jAAVYoWPkyNYmteGn3c/dk9/gE6u4i7HxUaDSuSE/kmOQkvOzu+nTSNEcHikvJ6vcS20+f49NBxtHo9r0wYxuze3YTKl584X8jHm6MoqWnk7hE9eHB8JLZW4loD/yhGf3NjyuTniK76implLt2c7qKf+71Ymwq8H3+lrveUYHW9Zo2ClblH2Fx0khA7T1b0fZiefzN1vf0XLqrr1crlPN6nHw8ZSF0vrbTCIJtWZbVNfLYthkMpOfTvHMj7D00k2EtckvyPcqf9jUySJKnNPk0gSqUSa2trFArFDTNmSl0T6Q17OVO/kxZtDaF2A+juPBU/m4g2vanq1fUcrDzM0cooTGQmjPEaxRjPUdiaiXkg1KtbWF8Qz+aiEyDBtIC+zAscKETl6rJU+U/ZyewvysLO3IJZod25u30PAgUOFdTp9UQXFrD6bCoxhfl42dkxv1sEc7p0E16do9XpOZp5gbUJqSTmlxDg4si8vt2Z1rMLjtZtv8CVJInj5wpYdfAUKTmldAn05L4xfRgWEXrdoWaLFi0iMDCQV1555ZrnlJXXOqtkAAEAAElEQVSVERoaikKhaPPr/qdw2edsyXmZEu0pgmwjGeKxCGdLcbufcFG+fE3hOsqVFYz1HM1kX7E7WMWttSzN3ENcdSZDPTrzTMcJ+NqIe1iWtTbxwelj/Fx4noFeQbzWaxRhTgLbSlQqvkw8waozpwlxduH1IcPp7y9uFtKVShC2lha8MHYwE7p1ECpfvvZoCt/tS8TBxopnZgxmdM+2G4y6b98+Fi9ezMmTJ697Xp8+fXjnnXcYM2ZMm9j9p3HZ3+TUJpDQ+C11qkKDJJErlJWsL9pIasMZejr3YJ7/HDysxN2PjWo53+QeZmtRAmEOPjzfaRLhzuLuR5VOyw+ZSXyZfhxHCyte6TGciYHi2rwkSWJPThbvxcXQpFLyZN9+3Ne9p9AA63RRGe/sOUZGeTVz+4bz5Ij+QlrEL1Nc3cDSrTFEnbnA0PAQnp0xlAAPpzb7fAsLC4qLi/H0vHag/84771BaWsqyZcvazO4/icv+prqpmKTm1WQ1HcHPJoKhHo/jZiUuAanUKdldtpf9FQdws3RjfsBc4ep6P5cksTz7IBLweNgYJvv1FqquF112gTeT74y63pQOnXhJsLpedXMrSw/Fsf30eXoF+vCfCcPp7CNQXU+t4ceDSfx48BTuTnY8N3MoQ7q1nXz57NmzGTlyJI8++ug1z0lPT2fs2LGUlpa2iU2R3LGKnbZGkiQqlBmkN+wlu+kYJjJTujiOp7vzFBwtbn2Q0vXsXGjN42hlFCfrErAzs+UunwmM8hwhLPgqbK1hU2E8u0qTsTQxZ0HwEGYF9MNegEpEs0bFzvxzrM05TWZDFeEuXrwXOZ67AjthZSauPLVGLmfz+TTWp5+lpKmJ/n4BLJs4mZHBoULbMgBK6xvZlnKOrSnnqGpuYUj7YL5ZOI2BoYFtOgz5Mo2tSvYmZLD9eBq5ZbX07xzI18/MpHeY+EokI7dOg6aUqf7i5+jUqupYX7yRU3VJdHPsypPtHsfbWqAyw5Xy5baufNn7Afq6tRNmT6nV8E1GAivOncTN2pavh8xgtJ+4qjS9JLHlfDofxcehk/T8b8hw5nUNF+pPYnMKeH9vNMX1jTwwqBcPDxanBCFJEtFn8/hkSzQ1ja3cN7YPC0b3EjoY1Yh4dhS/RDuXSMb7vIqLpbgZBQqd4hf5ck8rT17s8BxdHDsLs6fV69hRclG+3Exmwn+6TuMu355C52gcLc3l7ZQjlMubebRzJIs698da4DrmfHUVb0YfI7GshBmduvDCgEF42IpLylU2tbDkQCy7zmYSGezP9sfvIcxL3BwNuVLNd/sTWXMkBT83R7781zQGdA4SZs+IeNbmP4y9jQsTfF6jnf1goQnPk7UJbCzeglKvZKbfdEZ5jhSurvdJ5h5ymyuYeUm+XKS6XkFzHW8nH+GIgdT1GpQKlp6MZ23aGQOp6+lYffKiup69pQUfz5rAhG5i1fUOpWTz6dZYmuRKHp3Yn/kjemBhYPnyvxp/+d+OUtdMZuNh0hv3UKsqwNUiiIHuD9HZcSwWpm1X4aHQKThZm8CxqmgK5UX4W/uxMPBuBrgNEDJDR5IkEmtz2VAYz/HqLLytnVnUfjRT/foIaY9Iqy1nXW4qPxecQydJ3BXYifcixxPh1nZJsV8jSRKnykpZk5bKgdwcrMzMmdG5C3d3DSdUoEw5gEqj5XDGBbampHMyrwgXGxumRHRiTt9wAgRMcNfrJZKyi9lxPJ2jqbmYmMgY06sDb943jo5/0nYJIxeZG7QMW2txi3O1XsO+8v3sLt+Lo7mjcPU8SZLYX57KF1mGkS+XJIkDxdm8k3KEOpWcJ7oO4KFOfbE0Fff4SSkvY3H0Uc5VVzG/azjP9huIs7W4Bd2V8uUjO4WyfMEUIX7kMnnltXy8OYqTGUWM6RXG09MH4+0ibjCqEcMx0ed1OroNFZjw1BNfe5JNxVvQ6DXM9Z/NCI9hQgOs5No8lmTuJr+lijmBA3godAR25uLavC401fJW0mGiy/MYH9BRuLpenULOkhPH2XgujXAPL7bNnk+El7g5GiqNllXxKXwTk4iTjTWfzpnImC7ikuSSJLE3MZPPt8eiUGn419RBzBkmbvi7EcPRw2UWA3zuxsxEXNv1lep6g90HMdNvGo7m4tq8rlTX6+vajjUD/nXDGXG3Q4tGxVfp8XyfeYpAe2d+GjGXwYLV9dann2XpyeOYykx4Z8RoZglU1wMuqetFU9F4UV3vocF9sBG4iZRVXMVHm6NIySllUr/OPDl1IO6O4tbhfyf+kokdSZIoU6ST3rCHnOYYZJgQ5jCUkV7/xsuq7UpsJUkiv7WAqOpoTtYmopd09HHpzYLAu2lnFyrkIarUadhflsqGwuPktVTR0zmYD3rczRCPTm1eOijXqtlVkMG6nBTO1lXQzsGV57sPZXpwVxwFzrpoUinZnnmedWlnyamrJdzTi7eGj2JSWEesBQ+ty6msYXNyOj+nZtCsVDG4fRCfz53E0A7BQhYpVQ0t/HziHD/Hn6OkppGuQV68OGc4Y3qFYXebw76MGAZTmRg3KUkSpxtSWVe0gUZNE5N97mKs1xhhw9YBMhpLWZKxi7SGYib79eKx9mNwsRT3sMxqqObNpEPEVxYyJagLL/cYjpeNuBLhypYWPoyPZXvmefr5+rNr3gI6uYlrK2lVqfk6OpFV8SkEuDgKV4JolitZsfskm6JTaefjxrf/nkXP9n7C7BkxPMH2/YQF6Hkt+awpXEdeaz7D3Icw3W8aDubi7sdyRT2fZe7jaGU6/d3CeLf7XILsxG1kNKmVfJF+nFWZF9X11o+aTz9PcfejRqdj7SX5cktTMz4cNZapHTsLlS8/knGBD/fHUN3SysOD+/DAoN5YCdzBPl9YyYebjpGWX87UAV15YvJAXBzEtsUbMRx93eYLS+o0aZrYUrKNGEOq6xXE8mNeNK4W9nzU4x6GCFfXS+fD1CiUOi0v9xguXF3vZEkxb8YcI7eulnu79+BfgtX18qvreO+Sut7YLu357t7p+DqLS8rVtyhY/nM82+LS6BzoyY8vzqVbsFi15b8bf7nEzpm6neQoD1GrLsDdsh1DPB6jg8MILE3bbq5Ng7qB+NqTHK+Jp0RRio+1DzP9pjPArR92ZmKCoOLWWrYVJ7CrNBmFVs0Y7+4sDp9NB4e2r5g5X1/J+pxUdhacQ6XTMj6gA//pOZK+Hv5Cd3xOV5SzPv0se3KykAFTOnTi4zHj6eYhLpMOF1Ui9qZlsS3lHGdLKvBzduC+AT2Z1rMLng5t//dsVao5ejqHvYmZnMoqxt7Gkgl9OzFlQBfC/NomyGzVqsluqL7m8crG2jaxY0QM5YoK1hatJ60xnUiXPszxn42rpbi5NvXqFpZnH2JnSRJdnfxZ1f9xOgmUL29UKViaFsua7BQ6O3uyZcwCermLS0CotFp+SE3hq1MncbSy4svxkxjfTuwO9q4zmXx8MNYg8uU6vZ6f48/x5c7jSJLES3NHMG1g1+vO4mpLtHr9df0NgFKnNci1GLl1GtSNbC7ZSlzNccLs27O4y2sE2oqba6PUqfkpL4bV+TF4WDmypOdCBrmLmzOllyS25J3lw9QodHo9r/Uexbx2PYS2XcYVFfJWzDEKGxq4v0dPnujTDzsLcXM0cqtqeW9vFPEXipjQrQPPjx2Mt6O4pFxtUytf7Yxn54l0woO9Wf3SfDoHil2rXWVf2UrjdXxOjaLVYNdi5NbQ6rUcrjrKztKfsTCx5NGQh+hnCHW9rH00qFt5IGQ48wygrvdm8iFSawynrvdeXDR7c7MZGhjEF+MmCu1suKyut+bkaYLdXFh1/0wiQ8TNl9Tq9GyJOcOK3SewMDPl9QWjmRjZWcg4jN+jRaO67hqnoKnOINfRFvzlEjsnalbR1X0Uo7yfx9Oq7RYKar2G0/WpHK85ztnGdKxNrejr0pf7ghYKq87R6nXEVmeyrSiBhNpcPKwcmRs4gKn+fXGzbNsHtlyrZndhButyTnOmtpwge2ee7DqQGSHdhDqjJpWSHZkZrE8/S1ZtDR3d3Hl54BCmduwsNMus10ucKihha0o6B8/lADC6c3ueHjWAfsEBbe4stDo9JzMK2ZOQQfSZC2j1egZ1Dea9BycwNDykzXtCU2vKWLvn22tfT31Tm9oz0jYodAp+Lt3NgcpDeFt58XLHF+jk0FGYPa1ex5aik3yTewQrU3PeCJ/JOO+2HSJ/JTq9no0XzvDxmWhMkPF233HMCgkXloCQJImjBXm8HRNFRUsLi3r34ZGefYRW/qWXVvDOniiDyZefySvjw43HyC6pZvbQ7jw6sT8OtuLaWH6PGmUrY6/jbwDKbpD4MWJ4tHotBysPs7N0FzZmNjwe+ih9XfoIDbAOV6TxedY+mjUKHm43irlBA7AQ2eZVXcLipEOcq6/k7vY9eDZ8MM6W4u7HosYG3o2N5mBeLiODQ/j6rikEOYmbo9GkUPLlsZOsS0glzMON1Q/OoneQuCS5RqtjQ1QqK/ecxMbKgrfvG8+4PuKSctdia14a35edv+bxhuwk5gmcCWfkj3G2IY11RRuoVtUw/m+orld9SV1vS14avd392DX+frq4iJuFqNBo+Dr5FF8nn8LLzo6Vk6YyIqjtBgf/Gr1eYvvpcyw9dBytXsdL44cyp3e4UHW9hMwiPt4URWFVPXeP7MmD4/oavKMhobKIL6+zxlEXVxjwam6Pv1xi5/7Q1Tjats1wOEmSKGgtJLYmjpO1Cch1Cro6dmFR6MP0dO6BhYmY3ZdKRQM7S5L4uSSJKlUT/dza81GPexjo3qHN51ycr6tkfe5pduSfQ6XXMta/Ay9FDKefZ4DQxd2ZygrWpZ9hd3YWAHeFdeC9kWPo7ukldIFQ0djMtpRzbD99jpL6Jrr5evLy+KFM6NYBhzZWtpIkicziKnafzOBAUhZ1zXLCQ7x5dsYQRvcKw8lOXDtbhJsPn0x86JrHK8srGMOnwuwbuTUkSSK+9gQbL821mBcwhxEewzAVKF+cWJvLJxm7KWqt5e6gQdwXOgxbgfLliZfky7MaqrivQ2+e6jYIBwtxC7or5csntAtjzbRZ+DqImzNzJ+TLv9gex+6EDHqH+bPuP/fQ3lfgYFSFmlWbT/D4wqG/OeZmZcu66/gbgBlLNom6NCN/gNSGM6wr3Eiduo4J3uOY6D0eS1Nx9392UzlLMnZxur6AiT49eSJsDG4CFDsvUylv5v3Tx9hRcI7+noHsGf8AHZ3FtXm1qtWsSE5kZUoSfg4OrJoygyGBQcLs6fR6tian8+nheABeu2sEM3qJrdI7fq6AJZujKKttYuHo3tw/tg/WluKS5LkF1WTkljNpVPhvjs0I6cacHgOu+d7lGc2o6hqEXZuRW6NSWcm6K9T1/h32jEHV9b6NfJRwZ3Ftl2qdjh+yTvFl2nHsLSz5fOAU7hKsrrc3J5t346JpUil5pl9/g6jrvbs3ivNlVczpE86/RopV1yutaeSTrTEcS81lcLdgliyaRICHuCR5c6uSbftSuXdmv98ci/QM4O2J86753uzzGTz6xRZh19aW/OUSO20h+9mkaSKuJp64muOUKsrwsvJkovd4+rv1x8VCzJdKJ+mJr85me3Ei8dVZOFrYcJdvL6b598HPpm3L6S7Pzlmf+//VOf/qNsgA1Tkqfs66WJ2TUVNNmKvbpeqcTjhYigvw1FodUVl5bElO53huIQ7Wlkzu3okZPbsKUYgoq21kX2IWexMzyK+ow8/dkVlDwpkQ2Ql/d6c2t/d72JpZXFci2k6uMch1GLkxVw4OHOo+hBmC51qUyev5PGsvRyvPMdC9Ax/2uIeANkqG/6691ibeP32UXYUZDPQKYt/Eh2jvKM5es0rFl6dO8kNqCiHOLqybPpt+fuJKhDU6HWsTzvDV0RPYWJjz4YzxTAwXt4Ot0epYd/Q0K/eexMHGig8emsionmLbyg5En2f56hhUGu3vJnbMTExuKElvJXAYtpGbp1xRwbqiDZxtTKO3cy9e6Phv3C3F3Y8N6lZW5BxiR/EpOjn68n2/x+jqJO5+VOm0fJuRyLJz8Thb2rBs8DTG+Yu7HyVJYmdWJh8cj6FVo+b5/oNY2L0HFgIHBycVlPDu3miyK6uZHxnBE8P74djGG1NXUlRVz8ebo4lLz2d491C+eHIavm7iqh4amxV8u+E4Ow+eoUt7799N7Lha2eJ5HZ/jZm1LKQ3CrtHIzaHQKfi5bDcHKg4ZXF3PVGbCK12nMUmguh7A0dJc3ko+TLm8mUc6RbKoSz9szMS1XRpaXa+qqYWPD8ay60wmfYP92Pb43XTwEpeUkyvV/HDgFKsPJ+Pj6sAXT05jYJcgYfZ0Oj27j6Sxcn0cksTvJnbszC2vu8ZRO1QKu7625h+zEtNLejKaMjlWHU1K/WksTCyIdOnLA0H3Eiqo1QqgVF7HrtJkdpemUKVspJdLCG91n8NQz85tXp58cXbOxeoctV7HWP8wXu4xnEgPcdU5AGcrK1iffpafszLQSzCxfRhvDh9JTy8foXZzq2rZmpzOz2cyqJcrGBgayMezxjOyUygWbZzVblaoOJycze6EDE7nluJka8XoXh14bcFowoO92/zn1On0nEjJZ9fhs3zwyrQ2/WwjhqFJ03xpcGAsoXYhBhgcePVci6W97mWgewdh9lQ6LSszEliWfsJg8uXbMs7xYXwsGp2e/w4exvxu3YXO0TieW8i7e6IuypcP7MXDQ8TJl8PFHfOPN0VRXtfEvWN6c9/YPkLly7PzKln67RHSs8uYNCqcR+YPEmbLiFjkWjk7y3ZxqPII3lZevNTxeTo7dBJmT6vXsbUogW9yD2Nhas5/u81ggk+EUPnyQyU5vJNyhCpFC4916c8jnSKxEihfnlZVyZvRR0kpL2NW5648N2AQ7jZtN8/x15Q3NvPxgVj2pmXRPzSA7Y/fQ3tPcUm5FoWKb/clsO7oaQI9nFn+1HQiO4mretDq9Ow8eIZvNxzHzNSEFxeNYcLwrsLsGRGHXtITX3OCTSVbL6nrzWKEx3Dx6noZu8lvNZy63tvJh4kqM7y6XjcPT4Oo6/0Yn8LXBlTX238qi8+2xyJXqnliykDmDovA3ExckvxMRgmffXf0/9g7y+gor7UNX1iAQCAhQJBADEhIIC6EkAQN7q6FAi11Pe2pnZa2QItDcXcJ7hp3dyHu7p6MfT8o56tBoWSH0pN7ra5V5p3MfiPzzN6P3BfJ6YVMH2fGq3Mf3wX4T9E/PrFTKanEs8gb9wJPCuoL6NdRj2XaS7DuYiWsLbleJsEtP4YrWcGElKTQRakjE3qbMVXTCq1GrpzXSiX/9c4JL85psu6c6oYGriXEcyoqgujCAvp3UedfQ+2ZbmBI53biAm1Ng4RbUQ84FxJNRGYuvVQ7scDGlOlmhvRSbdy2b6lMTuCDDG74x+EanohcAY7Gumx5YwpDDbWFBKOKqjqu3ovg8p0I8gorsDQWt8lqlhjJFDJc8925mH0ZpZZteE13BbaCjQNd86PZFn+LCkkNr/UfzTytobQRtMF6dMD6PtSFotrqJsGXh+flstrDlaiCfOYPMuZDwfjyjJIy1t/yxCU+mVED9dizeCp9BOLLMwvL2HzeA4/IFEaY9mPHO+Ir5vtPeXPlXgSG/Xuy/8dFGOiJ8wloljjJFXK8i3w4l3kRmULKgr7zGNHdUfiY56a462RWFzNf245lesPp2Fqgj0Z5EauD7+Gdl8ZkrYH822wkvTqIG/Mqqqlho68X52KjMe/Zi8vzFgmFPNRJpBzyDma/VxDdOnZgx4IpjDQQ66NxIyCWny57Uy+R8eFMB2Y5mAj10QiNymDbIVfSskuYPdGcpbNs6dihmQz6Miq5KoWT6adfHF3PtGnpeqdGLcC2R9PR9X4cPZbpgul6rvEp/HjLg8KqalbYW7G8Ceh6G8+5E5GSw1TbQbw1dSjqncQlyfOLKth93JP73vFYGmtxeNMr6PYVlyT/O+mZf4t1dXW0E3hwbyylVqVxv8CFgOJA2rRsg626LSO6O9JHWYzpnEKhIL4ih+vZIdzJjaBaWo9dN302mi9maNcBje6dE1da8F/vnDqZBCdNfT4xHS7UOwcgrrCAk9GRXImPRSKXM77fAL5yHIFlz95C143PLcQ5OIprEXHUS6WMGtiPd0baYqvb+EbIqXklXPWL4YZ/LEUVNQzW6clHsxxxstAXZlqaklHExdth3PGIpWXLFkwYMYjpY03p21scKemXcnZ2JjAwkJqaGubNm4eDg8Ovrm/bto2SkhJycnL44IMPMDQU12r7S70s8eaRYiviOJl+mty6PMb2GMOUXpNo30pcAiL5Z+PA4JIUxvcy5e0B4+gm0Nci8ecDls/PB6zPzEfSU1ncegXVVaz38eJifCzWvTS5Nm8RA7sJ9NGob2CfZyCHfULpo9aZA6/MwK6fuA1dbb2Eg7cDOX4/hN5dO7Pr3RkMaaKKeZvWLfn8rXGMdTRqMvLEL/V3jDkvW7xJqkziRMZp0qrTGdl9ODN6T6NjG3Et+9k1JWx7cBP3/FiGdTNgg+Axz4qGOrZGenEsIQR91e6cHbMI6+7ixrwaZDKORYSxPdCPDm2U2OQ0gan6BkKT8vdik/jxtidlNbWscrRh6VBz2go8YEWl5rLB2Z3Y9HymDxvEm1PsUBPoB5hbUM7Oo+64+ycyxEyH7z6e0mT7ml/q7xhv4OWKOf9LdD2pXM5XFqNZ0L9p6HppZaUsM7Pg7Sak640fNICPx9o3elH8lyqpqGHHFR+u+EUzWKcnxz+dj6GWuCJSfb2E01eDOXEpALXOHVjzyVQcrPs1ufn7i4w3T/3psW/fPvbs2UNqaip1dXVYWVmxZMkS5s+fT4cO4rJuzyKpXEpASRD3811IqU5Fs70mC7UWMFR9iLDunJL6Km7nhnM9K5Skqjz6KndlsY4DE3qZNfoBq0bawI30+F9157w1aCgzdQfTtZ2430GdVMKNxARORUUQlpeLtqoa79kMZcZAQ7q0F9cV9Kg7xzk4isisPLTUVXljuA3TzAwbnUJTVVvPneAHXPWLJSo1lx5qKkyzG8ykIQOFmXlJZXK8A5O4cCuMsJhMNHuosmKeHZNGDaaDctNVsioqKvjhhx8ICQn573s7MjKSlj9/mCUnJ3Pjxg3u3r1Leno6r7zyCu7u7kLv6WWIN79UUX0RZzKcCSoNwaTzYN7p9yY92ov78KqQ1LI/6T7nMwLor9JDuHFgUx+w6qVSjkSEsiPQn05t2/HTuElM6D9A6AHremQ8G+94UdMg4SOnYSywEYcvVygU3A1JYOtFT6prG3hn2jDmDhe3HkBYTCZbD7qSllXMnInmLJ1t26Rx5pf6u8Wcly3elDaU4px5Ad9iPwxU9Pl20Nf0VRb3fqyVNnAkxZ2Tad70bK/KNoul2HYbIGy9R3S9TREeKIBvrcYyV89EqHGwR1oq33m5kVVewQpzS96wtKaDwANWQl4Ra2+6E5CayWQTAz5yskejk7ikXFF5NT9d9uaafyzm/Xtz8rMF6PcRlySvrWvg5KVATl0Npru6Chs+n4Gtha6w9Z6kv1u8gZcr5vyWrveG3mvYdLFuMrrein6jmK9tJ5SuF/ozXS/6Z7reh8YOqLYVl/DMLC9njbc7d5OTGKmty55JU9FpIrpe/+5dObZ8NlYi6XoyGWfdwtl3w5/2bdvw3dJxjLcSmyT3DEhkx1F3yipqWTJzCHMnW9JWqekHk150vHnq71gikRAaGgpAeno6n3zyCS4uLnz33Xds3LiR2bNnN9pNPavKGsrxKPTEtcCdCkkFFmpmzO0zG30VMQeBepkEz4I4buaE4V+USLuWbRjdczD/NprKYNXG75iJLsnjbFIEV9L+vzvnX6aODNHQEtaqB5BYXMzp6AguxsdSI5EwVq8fH9kOw1azj9Ds54O8Qs4G/X93zuiB/fhwzDCsdTQbdV2FQkF4cg6XfaO5F5KAXK5gpGk/3phsi5V+H2GbyPyiCq67RHH9fhRFpVXYmuuy8cuZWJtoP3XlvLqhgYTiosevUVICPKwG/VKtW7em9W/8hwICAtDXf1gFad++PR06dCA5OZn+/fsD4OrqioWFBQBaWlrEx8fT0NCAksBN79853vxSDfIGbube5kbuLdTaqPLBgHcxVTURtp5cIedqVgi7Eu4A8KnhVCZrWtBKkK+FTC7nXEokG8M9kKNokgOWa2oK33u5k1tZyWsWlqyysBaKL4/JyWftDXfCMnOYaT6I90fbod5RXMI6IauQ9c5uhCZmM8XWiHem2QlvSd51zAMXnwdYm2rz7YeT0NJ8NsN+qVz+xHgDUCeVIpPJXsqY8/LEGwl38+5xNec6HVt34O1+b2CpZiHWWDs3gh0PblMtq+eN/k7M0RoibMwTHtL1vg2+R3xZAYsHWPD+4GF0FnjASisrZY2XOy6pKTjp9uPQlBn07awqbL2ymjp2uPpxOjACw17dObVyLmZ9ewlbr0Ei5ZRbGAduBtBJuR3rlk/AyUJsktzF5wG7jntQVV3PirlDmT3RgjZtni1pXVxTQ/kTYk5RTTVyufyljDfwcsQchUJBRHnkC6PrTehlxtsDxjYZXW+IRl+uj3+VgQLpejUSCbuDA/5L1zs8ZQaO2jrC1pPJ5VwIjWHbfR/kCgVfTRrJLMF0Pd/YNDae8yC7qJzFoy14dawVyu3EvZdSMgrZdsiNkKgMnBwG8sYiB7qpP9toYNWfnKnSykqBl+NM9dSfztXV1ZSVlaGqqoqWlhbm5uZ8+umnFBcX8/3331NTU8Mrr7zSKDf1NFIoFCRWJXE/35Xg0hDatWyHQ7dhjNEYhXrbxqVMwcMDVWRZBreyw7iXF0WNtB6brv35ZvBsHDUG0q5V4/7RltfXcjktBufkSGJL89FR6cKbRkOZpSe2O6deKuVWUgKnoiMJzsmmT6fOvGZuxWzDQXQTWEWobZBwKzoB5+AoIjJz6dtFlVXDbZguoDunuKKaa36xXPGNIb2glAGa3Xh32jAmWA8UNmollcnxD03l6r0I/MNS6dSxHRNGDGKqkwm9e6g+8+uF5+Vy6uTRx69XXo5UKqX9b3xIvv76a7755ptfPVZUVETHjv9fKVRRUaGoqOi/Qei31zt27EhxcTE9e4ozdfu7xZvfSqFQEFoWxqn0s1RKK5naazJje4yhTUuBRp5lGWyIvUZiZS4z+9jwWv/RdGoj7sATXJDF6pB7xJXms7C/OR8Y2wutYKWUlvC9lzvuaamM0+vPsWkz0ewkzmempLqGrfd9OB8SjYlmT5xfn8+g3uK6rMqqatl9zY8LXpEYamlw9JN5DNYRaIzYIOXM1WCOX/Sni2oHfvj3NOws/xoooKimmnFPiDcA2cVFnDp1igkTJvzq8Zch5rwM8SasLJxTGWcpl5Qzoec4JvQYJ/SAFV+ezaa460SWZTCptzlvDnBCva1Amt9v6Ho3Jyz/UxLb86iqoeEhXS8sBK3OqhydNhP7vtrC1pPK5DgHR7HdxZfWLVuyeupoZpiJG4NUKBR4Raey6ZwHBWWVLBljyVInsfjyhJR8th1yIyIui/HDjVi1yAF1tb+2b7wQF8PhpAePvV4WEYZeflHzHkeQcmvzOJlxmqjy6Caj6+1OvMeVn+l6B4esYrCquDGvepmUg3GB7IzxRVWpPTvtpzNeMF3vakI8P3p7UtVEdL2Q9GzW3HAnIb+Q+dYmvD3SVjBd76FXoGdUCsNN9Nj25lShpOCKyloOnvXl8p1w9LS7s2vNfIwNev+l1wrIymTnE/Y4DTm5VFZWvhTx5qkTOytXrmTRokVoaWmxbNmy//7xq6urs2XLFrZt29YoN/RnksglhBSFcjfvPmk16eh00GaZ9hJs1K1Ratn4GcG0qgJu5YRzOzeC3NpSdDt2Z5necMb1NG30USu5QoFffjrOSRHcznxAqxYtmahlwDeWY7Ds1rjdKr9Vckkxp6OjuBgfQ2V9PaN09Tg6dSZ2fcV2BT3Ie+SdE0+dRMLogf14f/RQbHQatytILlcQ9CCDC95RuIcn065tG8ZbGbB2+XgM+nQX9rNNzyrmlnsMtz1iKSqpwmJwX75+fyIO1v2fuYL1S5n26MnmhY//0M/PzcNp7QYqKyt/9fhvM8sAXbt2paqq6r//rqyspGvXrr+6npKS8t9/V1VVoa7e+MnTX+rvEm/+SDm1uZxMP010RQxDutgwt+8suiiJ8wwoqq9k54M73MgJxaKLDseHvk0/FXEJiLyfK1hX0mIYqqHFjQnL0Rd4wKqsr2fnz/hyHbUunJw+G9s+4jZ0EpmMM4GR/OTqR7s2rVk3YyyTjQcKO2DJ5HIueUex86ovrVq25D+LxzDJxlDogc47KJnth90oLa9ulJbkrsodOPWEeAMw8/AJFixYwP79+3/1+MsQc/7e8SaHE+mniamIxaaLFXP7zBZSvHqkkvoqdife5WpWCINU+3DY9g0MO4tr2a+TStgXF8CeGH+6NRFd71J8LOt9vKiTSvn3MEcWDRY7BhmYmsnaG+4kF5awaIgpb44Ygko7cUm5tLwSNp7zwDc2jTHm/dn93gx6qYtLkpdV1LD/tA9X70UwsF9P9v2wEMP+z3dImTnQiLk2v8cSP9Lu/GJqi0vw8vL61eMvQ7yBv2/M+TVdryf/NvgXAzsZCFuvma7X+Mr7ma53o4noetV1DRy8FcBJ1zA0m8gr8Nq9SA6c8aFFC/jX606MH2FEq+cwf7fR7MP3C+Y/9npCXByvHz9NQUHBrx7/O8abp97pqampceXKFXbt2sWMGTOorq4mLi4OU1NTOnToQHZ2dqPd1JP0ScTn1LWqw6qLBYu1FghBlZfUV3EvN5KbOWHEVWTTrW0nxvY0YVwvU/qr9Gj09XKqKzifEsn5lCgyq8owVe/FN1ZOTNIaiEobcR/+9VIpd5ITOR0dSUB2Fr1UVHjV1ILZhoPQ6Chu1vv33Tmdec3BiulmRo0+AlFaWcMVvxguekeRVViOsW5Pvlo0mtEWA4RhhKuq63H1fcAN1yhiEnLprq7C+OFGTBgxiD69GmeGtoOSEgPUHx+oO9Y3ADyVKZ+NjQ2ffvopCoWCuro6qqur0dXVJTMzkz59+jBy5EjOnTsHPGwZNjAwENqiDH+fePNL1cpquZp9nTv59+jVriefGXyCQSdxOHGJXIpzuh8Hklzp2KYda03nM0pjkLADT71MyqH4IHZE+6DWVpnd9jMY20dcy/6jA9aPPp5IZHK+aAJ8uW/yQ3x5Rkk5S4ea87qjtVB8eUhiFhuc3UnJKWbeCFNWThyCSntxMT09q5hth9wIjEhjlJ0Bb73iSPdnbEn+I7Vu2fKJ8QagXevWtGrV6qWMOX/HeFMtreFy9lVcClzp3b6X8Hgjlcs4l+HP/iQX2rdS4hvjWYzraSoWfZv5gLWhrpTU1zQJXS8iL5fVHm5E5Ocy72e6nrqyuLHL7LIKNtz25E5MIvb9tdk8dyK63cQVASpr69l/w58zbuFo9+zCvg9mYTlAnPeSVCrj0p0IDp71oW2b1nz+9njGOjRO0lpdWRmNJ8ScrsodyC4teynjDfz9Ys6v6XoyFvadx/AmoOttjrtOxs90vVf1RtChtbjPx8TyIr79ma43SWsg/zYbQe8O4hKeRTU1bPLzxjkmCrMePbk0dyHGGuKKco/oege8glDvqMxP8yczamDjn5EfSS5XcDMwju2XvalrkPLe9GHMdhSbJA+NzmDbITfSsoqZNd6MpXNsUWmESYuOf3KmavjZ/+hliDctFAqF4lm/SC6XExwcTGhoKOXl5ejp6TFt2rQ/zFw1lurq6mjfvj2nE88yps9o1Ns27odjnUyC1y98c5Ratma4hhETe5lhoa7b6B4W9TIp97ISOZccgVduKqpt2zNdZxBz9EyEVsfh4cjDmehILsTFUF5fz0htXeYPNsahr7bQucs/6s6ZbTkYG50+jVq9fuSdc94zkvthibRt3YqJQwyZbjeIAZpifrYymZyQqAxuukXjGZgECgX21v2ZOHIQFoP7Plcm+bdatWoVWlpafPbZZ499Tk5ODnp6etTW1j7Vazo7O+Pn50dNTQ0LFiygd+/eLFy4kICAAOChg3tBQQF5eXl89NFHTUaMgBcTb+D/Y05NTQ1h1RGczXSmQS5hhuY0RnYfLnTD41eYwOb46+TWlrFIx55XdBxp31rMRlOhUHA/O4k1IffJb6IKVkR+HqvdXYksyPv5gDVUqBF7Vmk5P97y5H5cEiP0dflkvAPa6uKMCvNLK9l60Ys7wQ8YMlCLj2c7ottTXAW4uqaew+f8OHcjFG1NdT5YPhJTo8Y50N26dYvVq1fj7+//xOdZWVmxZs0anJycnup1/64x50XHm+qaagIrgzifdQkFCmZqTmd4NwdhFWwA/6JENsddJ7umhAXaw1imNxxlgQes+NICvg25j19+OlO1jfi32Qh6KIsb8yqsrma9rxcX4mKw6tWb/ziMwEggvry2QcIBryAOegej0UmFf09wZPgAHaEHrKt+Mey44oNMLueNyUOZMWywUHx5UEQ62w65kp1XxpxJFrwyawjK7RvnM0pJSYnMzEw0NB7/O1qzZg3Z2dns2rXrqV7z7xpv4MWeqWpra8mSZL1Qut77BhOajK43QLUbX1uMwUZDbFfwschwtgf4odymDZ/a2TNVf6Bwut76256UVNfwehPQ9aLT8lh/1o2Y9DxmDBvMm5OHoqYibg+XV1DOjmMeuPslYGOmzbtLRzyzV+DjNGfOHEaNGsXrr7/+2OdER0czduzYp064vsh485cSOy9CvwxCjYUGlCvkBJekcDsnHLe8GGplDVh37ceEXmY4djcUcpCKKcnDOTmSq2kxVEjqceypy2w9Y0b17i901rJeKuVeShKnoyPxy8qkZ0cV5hoNZo7RIHp0FLehqmmQcDs6gbNBkURm5dG3iyqzLQcJ6c6pqWvgekAc5z0jSMopxqBPd2Y7GDPOykDYXPmjUas7HrEUllRhNKAn40cMYuRQfTp1FDPLKiKx06zf61HM+Tr0W9Ik6Th0s2eW5gw6tRH3fsmqKWZr/E08C+IYrmHIe/oT6K0srsKbXF7MtyH38MxNbZIKVmFNNRt8vTgf+/CA9bXjSAwF4strGiTs9wzikE8wvVU78dmE4dj31xa2Xr1Eyon7oRy8HYC6ijIfzR6Oo7Gu0APdHc9Y9hz3pEEqY+V8O6aMMWnUA52oxE6zfq1H8eaz4C/IleUzSmME03tPpUNrcS37v4w3Dt0H8r7BBDSVxSUgy+pr2RzpycnEMIzUNPjacgwW3cSNeTXIZBwJf0jXU2mrxGfDHJnYX6yPxu3oBDbc8aK8to43htuwxNYMJYEH9IiUHDY4uxOfUcAsB2PemDyUzoK8AgFy8svYcdQDz4BE7Cz1eGfpcDR7Nm6SXERip1m/1qN481PMToKqQjBQ0Weh1vwmpet9aDCpSel6H5s4Coc/eKan8Z2nG5nl5U1D18svYt1Nd/xTMplsbMBHY5uArnfFm2t+sZjq9eKTuSMwEEjXq6uXcPJyICcvB9G9S0feWTaCoRaNu6cSkdh5kWp6DtjfQPm1ZVzLDuFadii5taUYdOrNyv6jcOphLMR9vaKhjuvpcZxJCieqJA9tFTVWDrRhhu5goVUqgIzyMk5HR3I+NprSujqGa+mwf/I0hmvpCA1uiflFOAdHcSU87r/dOSLIVgA5xeWcdY/gkk80EqkUJ0t9/rPYCSMtDTFUtHoJ7v6JXL0XSURcFt26dGTccCPGDzeib+/GO4RLJDICfBMZ5ihuvrlZfy6ZQsbXhl+i01Fb2Bo10vqHG55UbzSVu/CT5TJsuvYXtl5FQx3bo7w5+iCE/qpdOTN6odAKVoNMxtGIUH4KeHjA2j5uovAD1s2oBDbe8aSyvoH3R9ux0MYUpdbi8OUekSlsOudOcWUNr461ZvEYC6EVs/jkPLYedCUmIYcpY0xYOd8O1U7iKmbNahopt+7AdwO/RlNZXMKjWlrPkWR3TqV501u5C9stlzFEYLyRyuWcTgpjc4QnrVq0ZI31OGbrGjcJXS+nsoLXLax43cIaZYF0vbjcAtbedCc4LZtpZoZ8MMaO7iriDliFZVVsu+TFzcB4LAdocurzhcI6kgFqahs4cSmQM1eD6NGtMxu/nMkQM3E0n2Y1jRIqE3m7/z+PrhdUkMnqF0TXG6Orx4HJ09FSVRW23iO63pmgCAx6dBNO15NIZZxyDePArQA6tldi3asTcLIUS9dz9X3ArmMeVFTV8eocW+ZMskBJ4J7qn6L/mZ+QRC7FqyCeK1nB+Bcl0rlNe8b3MmOKpiV6Ko3fkqtQKAgsyMQ5OYKbGfEogPF99PnCfBTW3cXiwqVyOW6pKZyKjsAzPY1uHTqwYLAJ84yM6akiLpFUL5FyJyYR5+BIQtJz6KPWmZX2Vswwb/zunEfjVqdcQ3ELT0a9kzJLnSyZMWwwqh3FBO/0rGIu343gtkcsNTX12Fn1Y+OXM7Ey1mrUUausjGJuXQvn7o0IystruOvzZaO9drOeXZ8N/ARlQWNCCoWC27nh7HhwhxpZPW/pj2VOX1tatxSTgJArFJxLjmRDuDsyhZyvLccwv5+p0AOWe1oq33m6kV1ZwWvmVqyyFHvAis15eMAKSc9mhrkRH4yxo2tHcV0PKbnFbDzngX9cOuMs9Xlvhj0aauLibGl5DftOeXPdJZJBA3pxYP1i9HXFjZU0q2n10YD3f0feaCzJFXJu50SwI+E2dTIJ7+iPY1bfIcLiDYB/fjrfBN8jubyYV/QteXewHZ2UxHWUpJSW8J2nOx7pTUPXK62uZZuLD+eCoxnUW4Mzr83DpI9A2t3PXYGH7gSi2qE961dOZJSZOLNphULBPa84dh/3pKaugdcW2DNzvNlzwR+a9ffR94NX00lZHE78f4GutzPIn8NhofTt3LlJ6HrnQh7S9Vq2aME3U0Yz3cxQ6B7OOzqVjefcySup5BUn8XS9xLQCth1yJTwmi3HDDVm10IGuXcQlyf9p+scndnJrSzmX7s+NnFDKGmqw6dqPtabzcOg+UEi2uKSuBufkSM4mh5NWWcqgLj343HwkU7WNhG5m4OEc+dmYKE5HR5BbVYVdn77snDCFUTq6Qs2s0ovLOBsUyaWwGCrr6hlpoMeBV2Zgq9u30ckvUpmcO8EPOOkSSnxmAUZaGny/bByjzPsL+R7lcgXeQUlcuBVGSFQGPbp1Yv4USyaMHERXtcYLNFKpDC+3eK5fDiEyLINu3VWYPMOCcZNM//D5NfUNJOYXPfb18gtLGu3e/tclytsitjyLTXHXiS7LZIqmBW/0d6JLW3EfXiGFWawOvkdsE+HLU8tKWePpjmtaCk56/TgydSZ9OovFl2+778u5kCiMf8aXD9YUZ1RYWVPHvpsBnHULR7eXOvs/nI1Ff3FdFlKZnCt3wtl/5qFR6Rdvj2eso6HQIsEv135SvIGHxo3Nen6J+n3GlmexMfYaMeVZTNO0ZNWAMagpiYs3WVXlrA1z5VZGPI49ddk5bDp6ncWNeVXU17Mj0I8jEWHoNhFd72xQJD+5+KHUuhVrpo9hiolY2p1HZAqbz3tQVF7NsnFWLB5tSbvnoN39meKT89h2yI3oB9lMHDmY1xYMo4uquCT5L1VSXUPFE2JOcVV1k9zHP10iaMLwYul6XZuIrnc5Ppb1vl7USqR8OsyhCeh6Way94dZkdL30/FI2nffAOzqVUWb92PWueLregTM+XL0Xib6eBnvXLcRogLgk+S9V9SdnqvSi0ia5j8bQPzaxk1SZx/FUT+7mRqKu1JGZfWyYrGlBz/ZiDDMjinM4nhDKtbRY2rZqzTQdI3YOm45hF7GVVIVCQVBONscjw7iTnERHJSVmDTRi/mATdFTFmYPK5HI8E1I5FRCBd1I6PTursHiIGbMsBtFdwHxng0TK9YA4jtwJIqe4gtHm/fn3vJEY64p500skMu54xHLySiCZOaXYmuuw/vPp2JjqNGp3TnlZDTeuhHLtYgglxVUMsevP9xvnYWmj+8R1IrLymLLj+OPvv7K80e6xWY2rovpKdifc5Xp2KINV+3DE9k0Gdu4tbL1f4sttNbS4Pv5VDNTEzUT/El+urarG8emzsOsjDn0pkck4HRjBTld/lFq3Yu30sUwxEYcvf2RU+tNlb+QKBf+aM5wZ9oOFVsxCozLYesiV9OwS5kw0Z+lsWzooi9vQ/VbF1TVPjDcAaQXFTXQ3zXoWFddXsivhLteyQzBR0+LY0LfQ7ySuZb9WKmFvrD97Yv3pqazCAcdZjOzdT+gB63xsNBt8vZHK5XzZpHS9MhbbmvGGow0dBR6wHnYFuuMfl4GTxQDen+FAjy4iuwKr2XvSmxuuURgN6MX+HxZh0E9ckvyPdCk0luMRCY+9XuQfzuyB2k13Q816KknlMpwz/Nif5IJyq7asNp7N2J4mYse8MhNYE+pCcV0T0fV+hj80JV1v421PbsckMqyfVpPQ9Q7cDOC0axjaPdTY895MrA3EJcmlMjmX74Rz4IwPSm1a8e83xjJuuJGwPdwfKSg1iwNP2OPUF+Q22b08r/5RiR2FQkF4aRrHUj3xKXyATodufGE0nbG9TIR059TLpFxPj+N4QggRxbnoq3bja8sxTNU2okMbsajE6oYGrjyI43hkOA+KizDW6MG6UU5M7D9AKM2mpLqGCyExnA2KJLusAlu9vuxYMAXHATpCCAxVtfVc9I7ihEsoZVW1TB5iyCtOVvTtrtroa8HDBNINl2hOXAqgqLSasY6GrPt0GtqN5L7+SMmJ+Vw5H4TLnWiU2rZm/GRTpsy0pEdP1af6ehPNHmx6Y/Fjr+fn5TFm74+NdLfNagw1yKWcTfflUJIbHdq0E77hqZdJORgXyM4YX7o0Eb78YlwMG3y9qZdJ+dzekYWDTYUesHyS0ll38yG+/JWhZqxytBGKL49IzmG9sxsPMguZ7WjCqkm2Qo1K8wor2HnUHTe/BKxNtfnuo8mNRoJ4Fql3UOb024+PNwAzrh1rortp1tNIIpdyNt2Pg0mudGjTju+M5+LU01joAetGRjzrQl0pb6jj/cH2LDOwFHrACs3NYbWHKzGFBSwcbML7NkNREzTGBpBZUsaPtz1xiUtmuL4OOxZOEUrXq6ypY891f5w9wtHr1VV8V6BUxoVbYRxy9qV9OyW+encCY+zF0nzKy2pQVft9F9B0c0Nm29s89mt3SwupKy8Tcl/N+mvyK0xgS/wNsmtKWKhjz1JdR+F0ve9C7uPbhHS9DX4P4Q+WvXpzdd4i4XS9gz/jyzU6qbBr0VTxdD3/GHZc9kEqk/HRbEdm2hsLpesFRz6k62XmljJn4kO6nsiiVWlJFWp/MNZlpaPJd3PnP/brEuLieO36SWH31Zj6xyR2wkpS2ZVwl4iydIxV+7LRfDHDuukLGaPIqa7gZGIoZ5LCqWioZ2wffT43H4VVt8Y3Bv6t4osKORsTxcW4WOplUiYPMOCH0WMx0RBbTYnMyuOEfxi3oxNp16Y108wMmWdlLCxrXFVbzwmXUE67hiGVy5k5bDALR5kL865okEi5dj+KExcDKKuoZeKoQSyaZk2P7o3XdqhQKAgLTuXEYW+iwjPo01ed198ZzZjxxrRXfrbDqHJbJfprPB4P2UHW8Ly326xGlHdBPFvib1BQV85iHQcW6zj8o/Dl4Xm5rPZwJaogv0nw5enFZay/7YFrfAojDXTZuXAqWuqqwtb7tVFpH05/sYj+vcXhWevrJZy+GszxiwGoq3Xgh39Px85SHF0LIDenlP07XfnPmpm/u9a6VcsnxhuAds2mhn8b+RQ+YEvcDfLqylisY88SHUdh8QYgtjSfb4PvE1CQwUzdwXxiOpzu7cWNeeVXVfGjjyeXH8Rhq9mH6/MXY9BVoHFwg4R9noEc9gmht2on9i2ZLpSuJ5PLueL7EF+OQsGn80Yy3W6Q0K7AgLBUth92Iye/nHlTLFk8w6bR8OV/pPTUQnZtvUtBfjmHz7z5u+tdOiij8YSYo96xA9nNiZ2/hTKri9kafwOvwngcuxuyxeIVoTTPsvpatkR6cTIxFEM1Dc47LRZO1/t/+EPbJoE//JKu9/ZIW+F0vciUXDY4uxGXUcBMe2PemGwrzK8UHtL1dh71wCMgkaEWuqz5ZCp9e4n7m6mqrOP4IU+uXQzhpsfvicId/+RMVV8oLoHf2Hrpd2LpVYX8lHAbz4I4LLvoss/mNUzVtBt9nUdmyEceBHMvK4EubZVZNMCcBf3M0BBMtqqRSLieEM/ZmCjC8nLp26kzb1haM8dokNDDU51Eyu3oB5wKiCAqOx+DHt34ctIIJhkboKwk5pBYXdfAWfdwjt8PQSZXsGiUOXOHmwqrisvlCu77xLP/lBdFJdVMdTJm4TRruqk37u80Iiydo/s9iArPwNxKhx+2LsDcSlzmvVl/D6VVFbA1/ia+RQmM1DDiJ8tX6aUs7gMiqbyIb0Pu4/UzvvykYHx5QXUV6328uBgfi3UvTa7NW8RAgfjy6voG9ngEcNQ3jL5dOrN/yXSGCcaXn3QJ5eDtpjMq9QxIZMdRd8oqalk6+yEJoq1AH43q6npOH/Xh4tkANHqK+1tplnilVxexNf4GPoUPGKFhxDbLpUIPWCV1NWyO9OR0UjiDu/Tg4tglmHUVN1ZaL5VyMCyEXcEBqLZrx47xkxnfT+z78UbkAzbe9aK6voEPRtuxQCBdDyA0MYuN5zxIzC5kjqMJr0+0pZPArsCs3FJ+OuKOT3Ay9lb9WP/5DHr3UBW2XmVFLccOenL1YjC6ehp89NkkYWs1S6yqpfUcTnbjdJpPk9A8ZXI5p5PC2RThQasWLfneehxz9ExoKXAf/Yiul1tZyWsWlqyysKa9QPhDfG4ha2+6E5SWxVTTgXzoNEw4XW/7ZW9uBMQ1CV2vtu4hXe/0lYd0vQ1fzMDWXFfYejKZnDvXwzm81x25QsEb7zsJW+vvopc2sVPeUMO+pPtczAxEq0NXtlq8gm3Xxh8zqJNKuJoey5EHwcSVFmCq3otNtpMZ39cAJYEmWQCxhQWcio7kanwc9TIpY/X686GtHbaafYUGssySMs4ERnIhNIbq+gbGGPbjX+McsNTqLWwD9cuEjkQqY94IMxaPthA65hAUkc7uE54kpuYzztGI5fPs6NGt8egACoWC0KBUTh72IioiE2OzvmzetYTBpuJmVZv191CVpI4Dya6cTfdFp0N3dlktx1JdT9h6TY0vr5dKORQewq6gADq3a8eO8ZMY30/gmJdcwdWIWDbd9aZeKuPjscOYby3OqFChUOAZmcKmn41Kl461YskYsUalKRmFbDvkRkhUBmMdDFm1yL7RE8y/1H83PPs8kEllrHhzFFNmWghbr1niVCWt41CSG2fSfdHq0JWdVsuxEhhvpHI5JxJD2RLpRduWrVg/ZALTdQYL25coFArupySzxsudgppqVllY85qFpdAuxJicfNbecCcsM4cZ5oN4f/RQoXS9vJJKtl3y4k7wA4YM7MvZLxej21Pc2GVNbQNHz/vjfD2E3j1U2fKf2ViZiPNCk8nk3LoWxuG97rRs0YL3/jWBsRNNGtWzsFlNI7lCzq2ccHYm3GlCul4Gq4PvkVRe1OR0vfH9BjQRXc+Xc8FRTULXa5BIOekayoFbgXTu0K5p6Hre8ew+5tFkdL3oiAx2brlLSnI+U2ZYsmS5AyqdxHUh/V300iV26mUSLqQGczjFjVYtWvKp4VQm9TZv9IASW5qPc3IEV1JjqJY2MLHvQNZaj8e0qzjTQYDsigquJ8ZzPeEBMYUF6Kiq8Y7NEGYYGAk155LIZLjFp3AuOAqf5HS6q3Rkia0Zsy0H001F3Gamtl6Cs0cER+8G0fBzQmfRKHOhLYCxibnsO+VNcGQ6Q8x0OLzxFfppN26GOulBHru23iEqIhNzKx027VyMsZm4TZNoffnll7Rv357U1FS+/fZbevX69fsgNzeX999/H3Nzc0JCQvj8888xNTV9MTf7AiVXyLmRHcbOhNtIFXI+GjiJaZpW4vHlEe7I5HK+sRzDPIH4coVCgUtqMmu8PMivrmKVhTUrzS2FVrAiMnNZe9Od6Ox8ZlsO5t1RtnTpIC4W/hJfPsZiAO/PsKdnF3E42IrKWg6e9eXynXD66XRn95r5DDYQ1/UAEB6Sxu5td0lLLWTydAuWLHegU2dxP9NnVXO8eTr9f7y5g1Qh432DCczoYy30gOWbl8bq4HukVpbwqoE1bw0aikobcZ4IicXFfOfphndmOpP66/PpMAd6q4h7PxZX1bD1vg8XQqMx+ZmuN6i3uFH3ugYpx+8Hc/hOEF07dWDzqik4Gosbu5TLFdzxjGXPCU/q66W8sdiBGeNMaS2wCykyLJ2dW++SnlLI1FmWLH7VgY4qYimxz6LmePP0iinLZFPc9Sal660Lc+Xmz3S9HcOmNQld72hEGDpNQNeTyuScCYpgh6sfbVo1DV3PMzKFTRc8KCprmqLVg5R8th50JfpBNhNGDOL1hfZC6XqFBRXs3+mC270YzCy12Xv0NbR1xXUh/RWJjDkvXWJnns82qmhgjtZQluo6otKm8RIAFQ11XE+P42xSOJEleWh1VGX5QGvm6JkInxe/mZTAjYR4QvNy6dy2HeP69ecL++HY9Bbr25NVWs654CguhsZQXF3DsH7abJ07iZEGekINs2rqGnD2iODY/RDqJVLmOpqwZIyl0IROSkYR+0974xWYxCD9Xmz/Zg7mgxs3YBcVVnD0gCd3rodjYNibbXuXYjhY3OxvU8jV1ZX8/Hz279+Ph4cHn332GUePHv3Vc3bu3ImtrS3vv/8+ly9f5ocffuDMmTMv6I5fjGLKMtkYd4248mxm9LXmtX5jUFUSd1gO/RlfHl2az8L+Znxo7CAUX/7bA9aJYbOFHrAKKqrYdNebqxFxWGlrcv6NBQzsKZDmVVPH3hv+OLtHPMSXfzAbiwFi8eVX70Vw4LQPrVq15OPXxzBx5GChJIjc7FL27riPj8cDLG10+Xz1dLR0/l4bnuZ483SKKstgU9x14suzmd7Hmtf7i403mVVlrAl14U5mAiN792O3wwx0O4k8YNWxNcCP4xFhDFDvypmZc7HuLe79KJHJOBkQwS43f9q3ac0PM8Yx2cRAaAXbNSyJLRc9Ka2qZfk4GxaNNqetQK+quKRcthxwJS4pl8mjjVk5fxhqAhO6BXnl7NvpgodLLBbWunx+bFpzvHlJVVRfya6EO1zPDsVUTbtJ6Hp7Yv3YGxtAT2UV9jvOYlQT0vW+aAK6nl9yBmtvupNeXNqEdL2HRSsniwG8977YolVpeTX7Tnlz3aVp6HoN9VLOnfLjzHFfVLt04Ot1s7BzEOeF9FclOua8dIkd264DeMNwHN3aNc4fo0KhIKwom9NJ4VxPj0MBjO+jz2fmI7HuLm7kqbCmmrvJSVxPiCcwO4sObZQYravHG1Y22PfVFjrmVdMg4V5sIpdCYwlIzaSbSgdmWgxitsUgequJ9Vioqq3H2SOCE/dDaJDKmDvclEWjLVATmNDJLSjn0Flf7njGoqOpLsSItLq6HucTvlw4E0AnVWX+9eUURo0Ve0hrKrm4uGBpaQmAtbU1CxYs+N1zunXrRmFhIQCFhYWYmJg06T2+SJXUV7Ez4Q7XskN+3vC8zYBO4lpo82sq+THcnUup0dhqaHFDML68vK6ObQG+HI8Mx6BrN+EHrHqJlGN+oezxCKRz+3ZsmTuRsUbiWoRlcjlXfzYqVSgUfDJ3ONOHiceXbzvkSlp2CbMnmrN0li0dO4jb0FVX13PqiDeXnAPp0UuVNZvmYW3bT9h6z6PmePNkFdZVsCPhDrdywrDoosNxu7fpryIu3tRIG9gV7cf+uAA0O3bmyIg5OPYSN+Ylk8txjo1mk683ChSsHj6KuUZi34/eiWmsu+lBZmk5r9pZsNLBSihdLym7iPXO7gQnZDLe2oD3ptvTXVVc8bC4tJq9Jz256RaD8cDeHFy/mAG64mg+dXUSzp304+wJX9S7qrD6xznYDhMXw59HzfHmyZLIpZz5Bc1zjck8RvcYLNbXKj2OdWFuL4Sut2CQMR8MsRNK18sqLefHW57cj0vCcYAO2+dPRqerWLrer4pWTUTXO+zsR9u2rfnynQk4OYil63l7PGDfjvuUlVQzb4kds+cPQant3zPFITrmvJDvOjk5ma+//hpTU1NiY2OZM2cO48aNe6qv/cRwCu3aPV8Lp/znZM6tjHhuZTwgp6YCA9XufGY2kqnahnQWUPWWyuWE5eXgmZ6GR1oq0YUFtGvdmlE6uuyaOAVHLW2h8+JSmZzAtEyuRcRzNyaRBqkMxwE67FgwBYcB2sK8Kh6poKyK025hXPCKQi6XN0lCJy2rmJOXArnrFUd3dRW+fGc8o+wMGnWmWy5XcP92JAd2udLQIGXJCkemzbISHlBq6hpIzil67PX8vBIA6urqfvV469ataf2MzvpFRUUYGhoC0L59e8rKyn73nNdee40ZM2bw2Wef4eXlxYEDB55pDZF6nnjzJEnlMi5kBLA36T7tWynxrfEc4fjyw/FB7Ij2pbNSO3baT2d8H3HVCKlczpnoSLb4+9CyRQu+HzGaWYbiyCwKhQKXuGTW3/aksKqaFfZWLB9mKZS2FJaUzQZndxKzC5ntYMLrgvHlvyRBDDHT4buPp9C3tzhzW7lcwd2bERza44ZE8v8+Os86diGVyZ8Yb+BhQk4mkz13zGmON3+sBrmU02k+HE52o1MbZdaZzmekxiChm+WrabH8EOZGtbSBf5kOZ8kAC6FFp8DsLL7zdCO+qJDFxqa8ZzOUzs+533uS0ovL+OGWO+4PUhlloMeexVPp00VV2Hrl1XXsvubLec9I9Pt04/DHczHRE9f1IJHIOHcjhMPn/FDp0I6v35/I6GFiu5A83eLY99N9KipqWbTMnhnzbFD6C2MepZU1VMkeH3NKKqqRy+X/8/EGxMWcX9I8F/3D6XpDevfh2vzFDGwiul6vzp3Yu3gaDgN0hK0nk8u57BPNzqu+0ERFq1/S9eZOtmDJzCFC6XqpyQXs2nqX8JA0RjoZseLNUXTr/uyNH9W1Tz5TZRaUAi/HmeqFJHZKSkpYsmQJTk5OFBYWYmVlRVpamtA1HyVzbqTHcSvjAXm1lWirqDFNx4jxfQ0wUtNo9A+77MoKvNLT8ExPwyczg8qGenqrdMJRW4d3bWyx1exLByVxf/ByuYLwzBxuRD3gTnQixdU1GPXqznujhzJxsAHqHcV7KiRlF3H8fgi3guLp3KEdS8ZYMNvBROjhKT4pj+MXA/AMTKRPzy58smoMTvaGjW7SFRGWzt6f7pOckMfEqeYsfc2xyXwqotLymP3d8cdel1SXI5VKaf+bqsPXX3/NN99887vny2QyHB0df/e4sbExXbt2paqqCoDa2lpUVVV/97xPPvmEuXPnsnTpUlxdXVm5ciVeXl7P9k0Jkoh4E1qSwsbY66RVFzJf247leiNQbi2m40KhUOCSncSaUBfyaipZZTiE1wyH0F5gItgvM4PvvNxJKilmibEZ79oMoVNbce/ZpIJi1t50xy85g4mD9florD09O4szDs4vrWTbRS9uBz/AWr8Ppz9fRD+B+PLaugaOXwzkzNUgNLp1YsPnM7C1EEeCAIiNzmLXlrskPshl4lRzXlnpSGfVvxafiitrnhhvAJJzijl16hQTJkz41eN/FHOa483TS6FQ4F348IBVWFfBEl1HFuvY066VuL1DdEkeq4PvEVKYxWw9Yz42GU639uI8EXIqK/jBx5PrCQ+w69OXGwuWMEBd3Pvxt3S9A6/MwK6fOA88qUzORe8odl/zpVXLlny5cDRTbI2EdvT6hiSz/bA7BcWVLJxqxYJpVrRvJ+5vJiUpn51b7hAZlsHocYNZ/sZIunb76zH8ql8sZ3wTHns9LySc3orCp9rj/JPjDTR+zEmvKmRL/I3/0jy3Wy77x9H1DoWHsDOo6el6VfUNvD/ajoWC6Xq/LFr9E+l6FRW1HDvgwbVLIej102DLnlcYZNznL79eSGIWJ56wx6ktyaWysvKlOFO9kMSOlZXVf/9fLpfTocPvNwxSqRSpVPrff/82S/Y0ksrlhBRmcS8rgZsZ8eTWVKKj0oVZeoOZ0HcgBqrdGvWNXFFfR1B2Nj5ZGXilp5FcWkK71q2x6a3Jeza2OGppo6vWRWg7qlyuICIrl7sxidyJSSS3vBK9bl1YYGPC+MH6Qtv9Hkkml+Mbk8Zpt3D849LR1lDjs3kjmWAzUNj8uEKhIDQ6kxOXAgiKSGeArgbffjQZB+v+jU5dyEgr4uBuV3y9ErCw1mX3kRXo9mvctmaFQkFafC4ul4JZ8fmU310frN2DTa8vfuzX5+flMercj1RWVv7q8cdlllu1aoW3t/cfXnN1deX06dO8/vrrBAYGMnr0aABqamqoqamha9eu5OTkMH78eAA0NDSQSCRP9X02hZ4m3sDTxZyCunK2P7jF3dxIhnTtzzrT+Wh1FFfhSSov4ruQ+3jmpjKx70BOjJovFF+eWV7OOm8Pbicn4qilzU/jJqLXRZyPRnltHTtd/TgVGMEAjW6cWDEHCy1xG7q6BiknXEI4dDsQdRVlNr0+meEmek1Ggli5YBizxpsLJUEUFVZycLcr929HYWzWl12HV6DX//nik7qKMme/eny8AZjud4wFCxawf//+Xz3+RzGnOd48XbxJqypgc/wN/IsSGdVjEDutltOzvbjP8KK6ajZFeHI2KRyzrr25PG4pxurixrzqpBL2hwazJziQrsod2DNxCmN0BfpoyBVci4x7SNeTSPnXWHvmWRsL7VgOTshkg7M7qbklzBthysqJQ1BpL27sMiOnhO2H3PAPS2W47QC2/GcWPbuL+8yoKK/hyD4PblwJpb9+T7btW4rhoOcf85hia8jMUTaPvb5rWyHV5SW/O+z8r8UbaLwz1f8CXe+38IempOtNNzPigzF2Qul6vyxa2Rj05cwXi9DrJS5JXlPbwLEL/py9FkLvHp3Z8p9ZWJloC1tPJpNz82oYR/Y9pOu9/8kEnCY8P13Por8m386Z/9jrCfFxrPA+SUFBwa8e/zueqV74ANpPP/3EDz/88LvHv//+e1avXv3Mr1daX4NHTgqu2Ul45KZS0VCHtooaM3UbP5lTXldHUE4WAdlZBGRlElNYgALQV+/KCG0d/uM4AutemrR9xjatZ5VUJic0I5u7MUnci02koLIaLXVVJpsYMHGwAf011Jtktrm0qpYrvtFc8Iwku7gCa/0+bHljCvaDdIVVpiQSGfd94jl7LZiktEJMDTXZ9OVMrE21G/17zs8t49hBT+7fjqKvVlfWbp6P1ZDG/dBLe5CL541wvK6Hk5VSQPfean+Y2FFup/TEYN2eBoDnHlsEGDlyJC4uLqxevZr09HTWrVsHwPnz5wkLC2PLli189dVXrF27lvDwcOLi4ti0adNzrytCj4s38OSYUy+TcCrNhyMp7qgqdWCD2SIcuoubGS6rr2VrlBcnEkIZoNqN06MXMkQgvryqoYHdwQEcDAuht0onDk6ZzghtcR0lUpkc5+AofnL1pWWLFvxn8ihmmhsJHfN6ZFRaUlnDq+OsWTzaQqhRaXxSHtsOuRKdkNMkJIiGeikXzgZw6qg3nTsr89X3M7Ef0ThjF61btfzTzWHbNq1p1arVc8ec5ngDlZJaDiS54pzhh07H7uy2WoGFurj3o0Qu49iDELZFedO+dRs2DZ3MNG0joQnP28mJrPP2oLimhjethrDCzELoXikyK481N9yIys5jtsVg3hs9VChdL6e4gq0XPbkfmoitoRY/rJiITg9xXQ9V1fUcOe/HuRuhaPXuwrZv5mDRyHCIX0omlXPtcgjH9nvQuk0rPvj3RJwmmDTaXk9NRRkNjcfHnC6dOlBbWdYcb36jv3KmkivkXM8OZVfCHaQKOR8YTGC6YLqeT14a3/5M11umb8Xbg+2E0vWSSh7CH7wy0pnYf4Bw+MMv6XrGTUTXO3E/hEN3AunSBEUruVzBXc9YdjchXS8iLJ1dW+6QnlrEtFlWLHrVvtHoeh3aP/lMVVvysKDyMpypWigUCsVz3+Vf1MmTJykvL+fNN9/83bU/yi6rqalRW1v7qx+sQqEgqaIYl6xEXLKTCC3KpiUtsO7ehxG9+zGitx66Ko3TJVNcU0NgThaB2Q//iy8qRAEM6KKOjWYfhmj2wbqXplAs+SNV1tXjnZiGW3wKnolplNfW0a+7OmON+uNk1J/+3ZsmmaNQKAhNzOaidxT3wxJp27oVk20NmWlvjG5PcZX+sooartyN5OLtMMrKaxgxVJ+5ky0Y2K/xq4tlpdWcPubDtYshqHdT4ZUVjowYY9RonUBV5bW4Xw3hztkAkqKzUNfozLAJJjhMMsXATIuWvznsrlq1Ci0tLT777LPHvmZOTg56enrU1tY2yj3+E/SkeAOPjzl308PYlXqfovpKluo6slDHnnatxFR4JHIZJxPD2BrpResWLfnI1JE5usbCEh5yhYJL8bFs8PWiViLlHeshLDExE+qj4Zecwbqb7qQW/UyCGG6DikASREJWIRvPuROckMVEm4G8M22YeKPSU17ccotmkH5v3nt1BAZ64jZ0CoUCP68E9my/R0lx1UPjwAVDaNu2cf5Gb926xerVq/H393/i86ysrFizZg1OTk6Nsu7Lrr8ab84meHEw0wOZQs6q/mOYpmkl9IDlkZPCdyH3yawqY8VAG940sqVDG3EjO/FFhXzn6YZfViZT9QfyqZ09PTqKG7ssrKxmyz1vLoXFYqHVi88njMCwlziz+doGCUfuBHHsXjDdVVX4aLYj9oN0hB6wbrpFs/ekF1KZnBXz7JjqZCKUahoeksbOLXfIyihmxlwbFiwdRodGNH9XUlIiMzMTDY3HdxquWbOG7Oxsdu3a1Wjrvuz6K2eqwJwH7Ei9x4OKnCahef6Wrvel+Sh0OolLeP6WrvcfhxHYaP71kZ0/02/peh852Yun64UnseVC0xWt4pJy2XrQldjEXCaNMua1BU1H17O00WXVe05oaTdeF9KcOXMYNWoUr7/++mOfEx0dzdixY8nOzm60dUXphXXsODs7U1payttvv82dO3dwcHD41ezakwyJ6mVSAgsycctOwiU7iYyqMtTatmdELz2W6lti31OHTkrPn1Urq6vFLysT38wMArIySSotoQVg2K07Npp9eNfGFsuevZskkQOQV17J/bgkXOKSCU7LRq5QYK7Vi9ccrBihr4tON3HB8bcqr67jun8sF7yjSMsrwVBLg0/njmCcpT7KAue4M7JLOHMtmNsesSi1acWU0cbMnGCGRtfGz7yXllRz5XwQl5wDUWrbhtfeGc3EqY0zRlFX20CIRzzetyLwvR1FixYwbIIJK7+YyiAb3d8lc5r1fPqzeAOPjzmfhZ9ibF8z3tUfj0Z7VWH36JGTzPchLqRXlbJM34q3Bg1tlDj2OIXkZvOdpzvRBfnMNRrMh0PshMayjJIy1t/2xCUuGccBOmybN0lozCqtrGHXNV8ueUdjqKXBkX/Nw1hX3FhJg0TK+RuhHDnvT0fltvznPbFGpQDpqYXs3naPkMAUho8yZOVbo+jeQyzZsFl/rueJN5virzNLbyiv9RtNZ4EHrLTKEr4PccElO4kxmv05OHw2WirixrzK6mrZ4u/LyagIDLt159zseVj0FDd22SCVctw/nN3uAai0VWLj7AlMGDxA6AHrbkgC2y56UVFTx+uTbFkwwgwlgQes6Ac5bD3oQkJqAdOcTFg+z47OKgIJozml7Nvhgrd7PDZD+/H12llo9hVXwGvW0+uvnqneCDqAVY/+TUrX692hM4eHz2F4b7F0vXOx0Wx8QXS9ZXbmvOZgLZyut+GcO0EPMhlvZcC704ehoSYuSf6oaHXTNZrBBr05sH4x+oLpes4nfDl7wo+u3VT4dv0chtj9Pel6fye9kMROcHAwr732Gqamppw/f56MjAxCQ0N/t/H5I73tdQn/khyqpQ0M6NyVCX0NGNW7P2Zdez33G7ZGIiE4JxvfzHR8szKJKcgHYFB3DUbo6PLpMAesevUWaiL6W6UWleISl8S92CQis/JQVmqDQ39t1kx3wn6ANmrK4j7EfyuFQkFIYhaXfKJxCU2kVauWjLPSZ82ycQzsK+7NrVAoCI/N4uy1YLyDktHsocpbSxwZP9xIiNt6WWk15075c/VCMEptWzNnoS0z5trQXvn51qqrbSDILRbvGxEEusVSXythoIU2r301leFTzOnQqel+l/9Lep54A/CT5TJsew0Udn/xpQWsDXPFKzeVMZr92T98Ftoq4hIe2RUV/OjjyfXEBw9JEPMWMbCbuAp2VV09uz0COO4XTh+1zsJJEBKpjDPu4ey/4U87pdb8Z/EYJtkYChsHVSgUeAcls+OoO4UlVSyYYsnC6dZCjUoryms4dtCTa5dC0NHtzqadizE2E2f+2qyn1/PGm8NDVmHYTVvY/VVJ6tkZ7cuh+CD6dlTl2Mh52PcU936UyuWc/pmu16pFS9aMHMNsw0HCfDQA3B+ksO6mB/kVlbw6zJIV9lYoK4nz0XiQWcCGc+6EJmYzeYghb0+zo1tncV2BRSVV7D7uyR3PWMyM+nBowxL6aYvzequtbeDscV+cT/mh0aMz32+ch83QfsLWa9az6XliznfGcxinZdFkdL2PTR15ZYCl0K7goJwsvvVoWrrej7c8cHuQwigDPXYvnkrfJqLrDdDsxqGP52CqJy5JLpHIOHczlCPn/Oio3LZp6HqucezdcZ+qyjoWL3dgxlzrv0TX+1/UC/kpWVpa/iHe62lUL5fyielwRvbWQ7Oj6nPdR71USnheLn5ZmfhnZRKWl4NELkdPrQu2mn1409KGIZqaqLZrugO3RCYjLCMHt/gU3B+kklZcSuf27Rg1UI9Vw20YqttXaIvdH6m4oppr/rFc9okmo6CMgX278/Gc4Yyz1KejQBNAiUSGi088ztdDSEgtYJB+L9b8awrDrPo1uiEyPDwsnTvtz+VzQbRr24YlKxyZNN2c9s+RPJLJ5IR5PeD+hSD878cgqZcwyFqP5Z9NZuhYY7r8BSxfs55NzxNvAMy6iDn0FNZWsSnCk3MpkRiqaTSJj86e4EAOhAXTs6OKcKNSmVzOhdAYtt/3RSqX8ck4e+ZaiTMqVSgUeEamsPmCJ/mllSwebcGysVZCOwhTMgrZftid4Mh0Rtnps+3r2fQQaFQqlcq4fimUYwc8aNW6Fe/9awJjJz6/cWCzGk/PG290VcSM7ckVCi6lRrM+3J1aqYR/m41g0QBz2ggc8/LPymS1hyvJpSUsNTHjbWtbOrUVt2dILSxh3S0PvBLTGGvUn0NLZ9BbTdz7sbSqlt1XfbnoHYWhlgZHP5nHYB1xXQ/1DVKcr4dw7II/nVXa8/3HU3AcIpbm434/lv0771NdVc+y10YwbbaVUPP3Zj27nifmjOgxSNjfz6/peiZ8bOIolK6XW1nJDz6eXEuIbzK63l6PQI74hjYJXU8ml3PRK4pd1x56E365cDSTbQ2FdiH5haSw/Ygb+YUVLJhqJbxo9Uu63pjxD+l66l3FdSH9E/XSpb/2O85+LvOiGokEl9RkbiQ8wCM9jXqZlF4qKthq9mWu0WBs+/QROu/9R1IoFERk5XE5LIbb0QmU19ajra7GCANdhuvrYt63l9B56cfdU2hiNmc9wnELT6K9UhvGWw/khxUTMegjrroPUFcv4eq9SE5dCaK0rJrhtgP46LUxGA0Qs2EqLqrkwpkArl8OpU2bVixaZs+UmZZ/OaEjl8uJD0vH81oYXjcjKCmowNBCmxWfP3syp6ayFuU/aK2urWsgJaPosV+Xn1/yl+69WeJVI23gQFwg+2IDUGnTlg1DJjJNR1wFWyaXcyEuhk1+PtRKJXxsO4zFxqZCjUr9kjP48ZYHSYXFLLA24c0Rtqgqi6uYJWYXsfm8BwHxGYwx78/u92bQS13cga6sooaDZ325cjeCflrd2PndPEwMn58E8zgpFAoC/ZLZt+M+OVklQnwtniSpTP7EeAMPD53N+nsqvCiH1cH3iCjOYX4/Mz40cUC9nbgxr+yKCtZ6e3ArKQFHLW12jJ8klK5XWVfPbvcAjvuFodNVjSPLZmGjK9ZH47xHJHuu+9G2TSu+XjyGiU3UFVhUUsWi6dYsmGrVaD5af6SkB3ns3HqH6IhMxk404dVVI+iiLq4L6bcqq6imuv7xMaekrLrJ7qVZz6YXQdc7EBrC7uCAJqfr1UmkfDx2GPOtTYTS9UISsthwzp2UnOImo+v9dNgNv9BUhg/pz+avXk663tOqprb+iXuczNzSJruX59VLl9j5K6qTSnBPS+NGYjyuqSk0yGTYavblP44jsOvTlz6dOr+Qmb38iiquhsdyKSyW1KJS9Lp1YfkwK0Yb9msSLPkfqbZewq2geM64h5OUXcQg7R58vcSJUWb9aS+wlRkeYvMu3wnn9NVgqmsbmDLamHlTLOnRTUxXS25OKc4n/bhzIwIVlfYsXDqMydMtUP6Lh6WctEJcLgbjeimYvMwSeut2Y+y8IYycZoGm7tMnw8oKy/G7GozXxQDC7kdyq/7M754Tk5DLkg+OPPY16mvL/8q30CyBksnlnE+JYnOkJ9WSBl43HMKKgda0F4ja9MlMZ62XBwnFRcwbZMz7NkOF+uikFpaw4Y4Xbg9ScBigw6Y5E9DrLu5AV1Lx0Efnsk80+n26ceDD2Zj3F7cZkEhkXLgVxpFzfrRVas0nq5wYP7zxjNT/SKnJBezZfo/QoFTsHPX5dv0cems2nZ8aQGlZ9RPjDUDqnyR+mtX0KqitYn24OxdSorDq1odr45dh1EWckXetRMKekED2hQTTo2NH9k+exkhtXaEHrEthMWy554NULuPfExyZa2kstBAWEJfOhnPuZBSUsWCkGSvG2wjtXE7NLGL7YTeCIh52Bb7xzRxheyJ4OIp+eK87t66FYWDYm58OLMPAUNyYx+N0wzWGi3cfPPZ6ZnwYEx3FjRA269n1S7qecus2bLSdxHQdcR1BCoWCO8lJrPV2/5muZ8MKM0uhRauorDzW3HQnMiuXWRaDeH+0nXC63raLntz7ma639tXxQsE01TX1HDnnx7mbofTt1UR0vUshHDsghq73tAqLyeSC15HHXq8uz2u6m3lO/WMTO7USCW5pqdxOTsA9NZVqSQPWvTX53H444/T6N5nh8W9VL5FyPy6Zy2Ex+CZn0LGtEhONDfhx5jgG9dZ4YaZQaXklnPOM5Jp/LPUSKU4WA/h60RiMtMVtAh+psrqOCzfDcL4egkQqY/pYU+ZOtkRdTUzLZlZGMSePeON6L5pu3TrxxrtOjJ1oglLbZ387VFfU4nEtDJeLQcSGpKHWVYUR0ywYMc0CPaPeT/37LMouxvtSIN4XA4jyjKVVm9ZYjjXhg32r/vD5RgN6smH50se+Xn5+HiPdNj7z99OsxpdCocAzN4V1oW4kVRQxr58p7w22F9qSnFJawjpvD1xSUxiurcPWsRPpry6QUldTxy43P04HRqLTVU14S3K9RMpp1zAO3g5EuW2bJqmY+wQns+OoBwVFFcydbMniGTZCPL4eqaS4iqP7Pbh9PRy9AT2E++hUV9ZxYZ8rSz6a8LtraqodOLZl6RO/ftrkk4LurFnPqnqZlMPxweyI9qGzUjt+GjaNiX3FeiLcSHzAOm9PKurreH+ILUtNzIUesMIyclhzw4243ELmWRvz9khboZ6DWYVlbLnohVt4EvaDddi8agp9u4srwFVW13HorC8Xb4Wh07crO76di6mRuC4kqVTG1QvBHDvoSdt2bfjXl1MYNXaw0JjqeyeKxMhMln4y8XfXJ440Ytp428d+/c6fSqitLhNyb816dv2armfNm0ZDhdL1HhQX8a2HG35ZGUzRN+DToQ70VBE3bVFUVc2Wez5cDI3BQqsX51YtwKiXOG/R2gYJx+4Gc+RuEN1UO7LljSk4DBabJL/l/pCuJ5HKeWfpCOF0vdDgVHZvuUtWphi63m+VkZTPmR33+GTrot9dMzPqwzczFjz2ax88iGPF0tPC7q0x9Y9L7DzK4H7n6UpeVRVWvTT50NaO8f0GoNGx6dpIf6sGqZTzITHs8QiguKqGYf212Th7PCMN9JrcM+eXSsgqZP9Nf1zCkuil3olXx1oxdagRairiE18NEikXb4Vz9II/CrmCWRPMmD3JQhjVISE+F+eTfni5xdFLU42PP5/MiDFGtG79bO2TCoWCuNA0bp3yw+tGOAoF2DoN4tu3nTC3H0Crp3w9hUJBjO8DLm67gc/FANoqt8V6ghmfn3ofq/FmfziC9Ujt2ymh2/fxs8PtWjc80/fULDGKLclnbZgrPnlpjNbsz0776eh1FtjBUlvD9gA/TkVHoqvWhaNTZ2KvpS1svQapjFOBEexx96dVy5Z8OWkEM80HCdsMKBQK7ocmsv2SF8UVNSweY8FSJyvaCxxJSEwrYMcRd0KiMhhhO4DNX82kl4aqsPVqaxu4cCYA55N+dOjQlo+/mCz0gNVQL+XGCR/O7LyHTCL7w8RO61YtnxhvANo2Gxu+cCkUClyyk1gT6kJuTSWrDIfwuuEQoV2BMQX5fOvpRlBONjMHGvHJUHu6dRCXtM6vqGLTHS+uRcZjo9OHS28uYkAPcT4aNXUNHLwdyAmXUHqrd+Knt6djZ6QtbD2ZTM51lyj2n/ZGoYAPVo5m8qjBQrsCg/yT2b3tLnk5ZcycZ8P8JXZ/uXP5aZQan8Peby8T4ZvIiGkWf/gc1U4d0NB4/O+1i2oHspsTOy9cL5Su17UbzrPmYdlLJF1PxnH/sCal690LTWDrRS/Kq+t4faItC0YKpusl5LDtoCsPUvKZ6mTCiqam660TS9erKq/l5LbbXDvmTd9+f9ysoNy+7RP3ODUVL2aK5q/oH7UTSykt4TtPNzzS05huYMi/hg5rcr+c30qhUHAz6gFb7vlQUFnNXKvBrLC3QqPTi0syAUSm5HLwdgBeUan0792V9SsnMsK0n1ATrkeSyxXc94ln/ykvistqmDPRnIXTrVHp0PgeHAqFgrDgVM4c9yUsOA3d/hp8+p+pOI40pFXrZ/teK8trcLkQxK3TfmQk5qM7sBfLP5/CiKkWdOz89EGwprIW9zM+XN93j8SQFAZY6vHJ0Xewn2mDkkBTsmY1nXKqK9gU4cGl1GgGq/cUboxcL5VyNCKMnUEBtG3dim+Hj2K24SBh72eFQsG92CQ23fUmr6KSV2zNWelghUo7cYeB6LQ8Np1zJyIll4k2A3lrih09uohFex444811lyj0dTWE++jIZHLu3YrkyD4PamrqmbvQlhnzbJ7LvP3P1nO/EsKxTbcoLaxkylJ75rwxSshazRKv5PJivg25h2duKhP6GnB85Hw0O4rzRCiuqWGzvw9noiMx0ejJpTkLMOkh0DhYIuWIbyj7PANRVW7PtnmTGGMozkdDoVBwMzCe7Ze8qK2X8M5UO+YON6XNMxaCnkURsVlsO+RKcnohM8absWzOUDp1FOdNlp1Vwp7t9/D3TmSo/QC+3zCXXgLHPCvLqjm++TY3TvigZ9SbjeffwchSV9h6zRKn39L1jo6ci0NPcb/LX9P1WrBmxGhmCdzjwEO63g+3PMgtr2R5E9D1ErIK2eDsTkhiFpNsBvLOtGF0UxVM1zvhyR2PWEyNNDm4YTH9tcV5qDY1XU8mk3PvXCBHNtxAIVfwxjczGDf/8V2A/xT9IxI79VIpG/28ORoRhp5aF07PmIONpriW1adVWEYOP9zyICo7j6mmhrwz0pZeqi+WghSamMXeG/4EPchkkHYPtqyagv1g3SabZwyJymDnMQ8SU/MZP9yI5fPs0Oja+D8ThUJBWEgaxw54EBOZhamFNuu2zMfC+tlbGVNis7lyxAuPq6G0aNmC4VPM+XDjAgYY93mm10qPzeT8pmu4O/sik8gYNtOGt7a9iqGtuOx/s5pWlZJ69sT4cTA+iG7tOrDNbioTtQYKM0Z+NAKx3teLopoaVppbstLcio5K4hKEUVl5/Hjbk5D0bCYO1hdOnskrqeSnK97cCozHVK8XJ/49H0MtcSOi9fUSnG+EcuyCPx2V2/LF2+NxchA35gUQHJDMvh0upKcVMmGKGUuWO6DWRcyGTqFQEOwez+Efr5OekMuoGVYs+mAc3Xu/PBWpZv2/Khrq2B7lzdEHIfRX7So8iSyRyTgRFcFWf1/at2nNxjHjmWogNsa5xCWz/rYnhVXVrLS34tVhlrQTWMGOTc9nvbMbUam5TBs6iLem2NGlk7gu5vyiCnYd88TFJx4rEy2ObH4FnT4Cu5Cq6zl11IeLZwPo2VuNH7YuwMJa3KFcJpVx85QfxzffolXrlrz7w1zGzLKiZRMUEpvVuJIrFFxOjebHJqTrBWRlstrTjaSSYl4xMeMd0XS9olLW3XTHKzENJ8N+HHxF7B6nrKqW3dd8ueDVNHS9BslDut7R8/506tiO7z6ezPAhYruQ3O7FcGCXS5PR9WKCU9jzzSVS4nKYtNiORe+PRUVVXCfp30n/iMTOkYhQTkZF8B+HEcwbZEzrF/xhUdsgYZuLL8f8QrHS1uT8qoUY9hJLkvozZReVs/WiJy5hSVj012T3uzOwNujbZAmFrNxSdh71wCsoCWtTbQ5vfIV+2t0afR2ZTI63ezxnT/qRGJ+LmaU2W/e+gtHgZ0/0xQSn4LzLhUDXWPr002D551MYOd2SDirPVkGTy+Xc2HefPR8eoaeuBq+uWcCohfZ0Un95EH7Xrl3j/fff5+TJkwwZMuQPn3PmzBnS09MpLCykurqa3bt3N/FdvjhJ5DLOJIWzLdIbiULORyYOLBlgQdtW4kJsUE4W67w8icjPZbqBIR/ZDhM6Y55TVsGWez5cj4zHtE9PTr82D9M+4jYfNXUNHLkbzPH7wXTt1IH1Kycyykws2ve+dzx7TnhSXlnLgmnWzJ9iKRztuW+HCyGBKQyx688X381AS1vcgS4xKpOD664R4ZuIzWgjPtm2CG19cb/Dv6rmePPnksnlOKdEsincAzkKvrEcw7x+pkIr2F4ZaXzv6U56WRmvmlnwppWN0CRyYn4R62554JecwYTB+nw81p6enQV26VVUs/OKL1f8ojHR7cXxTxdgqCXOR6O+XsLpq8EcvxiAuloH1n4yFXtrsTSf+7cjObjbjYYGKSveHMWUmRbPPI7+LAr3TWTv6ktkJuczdZkDC95xokMncWMef0XN8ebpFFH8kK4XXpTDvH6mfGTiKJyut87bg5tJCTj01eancROF0vWqHtH1/MPQVlfj8LKZDNEVlySXyuSc94pkzzVf2rRuxX8Wj2FSE3gF/nTkIV1v4c90vXYiR9kf5LJr611iIjNxmiCerleYW8ahdddwvxqKqV1/dt78+H9uj/PSJ3ZqJQ8xd0tMzFhkbPqib4eE/CI+PHuD/Ioqvp06hpnmRi+0G6O6roFDtwM56RJKzy6d2PrmVOwH6TTZPVXX1HP0vD/ON0LQ7KHKpi9nYmPW+CQDmVSOy90oTh31ISerhGGOBrz78bhnpjnIZHL870VzYZ8bcaFpGJhp8c3BFViPNPxLP7OsxFy2vr6XKM9Y5nwyjaXfzn1qD56/i8rKymjdujV9+jw+OZaQkICrqyv79u0DICoqqqlu74XqkafFD2FuZFSVsmSABW8PskO1rbiNa2pZKet9vLiTnIitZh+uzFvEoO7iDh9VdfXs9wriiG8oGiod2Tp3Ik5G4hIsMrmca36x7LrqQ12DlFWThjJvhKlQL7LoBzlsP+xGXFIu44cbsXL+MLoJTLwWFVZwZJ8Hd29G0E+/Jxt+WoSphbaw9fIyizm68SbuV0LRN9Vig/PbDLLWE7be86g53vy5ggoyWR18j/iyAhYNMOf9wfZCY056WRlrvNy5n5rMaB099k6airaquA6v8to6drj6cTowggEa3TixYg4WWuJ8NCRSGWfcw9l/wx/ldkqsWTaesZb6QpPIHv6J7DjqTnllLUtn2zJ3soVQH4342Gx2brnLg9hsJk4zZ+nK4XRWFdiFlFnC/jVX8LkdieXwgXyxaymaei+2wPlHao43f67Cn+l651OisOymydXxyxgkmK63NySIvSFBTUbXuxwey5Z73khkMj4dL56uFxifwcZz7qTll7JwlDnLx1kLpeulZRWz/ZAbgRFpTULXKy2p5vBeN25fD2egkSY/HXgV/YG9hK3XUCfhwgF3zu68j1rXjny191VsncQR2Z5HomPOS5/YcY6NoqqhgeVmf2zA1lRSKBRcCI1hzQ03DHp0Y++S6fR+gWNXCoWCW0HxbL3gSZ1ExtvThjHX0UTofPgvJZPJueEazf7T3khlct5aMpzpY00avTIkkchwuRPF6aM+5OWVMWrsYL5bP5c+Ws+W1VcoFHhcDePE1ttkpxZiM9qIDc5vY2T11z9M7h51Z9sb+9Ac0IvtfmvRt2q8WdLamgbSUgofez0/vxiAurq6Xz3eunVrWj8jqURVVZXx48fz448/PvY5586dQ0lJic2bN1NcXMzKlSufaY2XUbEl+awJdcE3P51xffQ5MHwW2iri/AlKa2v5Kcifk5Hh9O2sKnyzI5XJORcSxQ5XP6QyOe+PtmOhjQlKAkk3gfEZbL7gSXJOETOGGbNq0hChRu65BeXsOeGJi88DTI00ObB+Mfq64pJkNdX1OJ/04/xpfzqrKvPvr6cxfLSRsApdZXkNp7ff5dpxb7r3UuPzna8wbILJM//NSKXyJ8YbeGjCLJPJnjvmNMebxyu3poIfQt24mh6LXQ9tbkxYjr5q43e+PlJVQwO7ggI4FBZC386dhZuxy+RyzgVHsc3Flxa04D+TRzHT3EhoF5JPTBobnd3JLalgyRhLlo0Va8aelFbI9sOuhEZnMtbRkDcWOdBV0NglQHFRJQf3uHHvZiSDTfqw6/AK+g0Qdyivq6nHeY8r5/e40r23GqsPrcB6pNEzv05ZaTW11Y+POaUl1cjl8uZ4I1ANMhlHHgTzU5Q3Kkpt2W43lUlaA8X6WiUmsM7Hg/K6Ot6zsWWZqVi6XnhmLmtvuBGTU8BcK2PeGSWWrpddVM6WC564/kzX2/j6ZOF0vcPOfly4FYZOH3V++nYuZk1I1/vkq6mMGisWee97J4r931+hrLiKuW+NZuaK4Si1e7YYXlNd/8Q9TnZmCfBynKle+sSOR3oao3V16ab84mbnqusbWH3NhWsR8aywt+TdUUNp0+rFdWUUlFXx/cn7eEenMtN+MG9OsUOtY9O1vgZFpLHjiDtpWcVMdTJhuQCH9YYGKXeuR3DmuA/FRVWMGjuItVvm0/svGP8lRGZwYM1VogKSGTXDkv/sX07ffs93uFMoFBz+8jSOc4fy4b5VtG7kSlxcTDYrF+197PX6hgqkUint2//65/7111/zzTffNOq9AGRlZZGamsqOHTtITU1l+vTphIWFNfo6fwfl11SyOdKTc8mRGKv3xHnMIqy6i/ug/KUxslKrlnwleORUoVDgkZDKxjtepBeXMd/amDdGDBG62UnLK2HrRS88o1KwM9Jm7avj0e0psOW6up7jFwM4dyOE7uoqrPt0GsOs9MR1IUnl3LoextH9njQ0SFn0qgMz5lij1FbMR7BUIuPGCR9ObrtDi5YtWPnFVCYsGErrvzjTXlZS9cR4A5CWUsipU6eYMOHXVC0RMed/Kd4A1Ekl7I8LZHeMH13bd2Cvw0zGaIrrmpMrFFyOj2W9rxe1Eimf2Nmz2NhU6L4mKC2LtTfcSSooZoGNCW+NGEKn9uKMgzMKStl4zgPv6FRGmPZjxzvT6d1VnI9GeWUtB874cOVuBAN0urNn7QIG6QusYDdIueQcyMkj3nRUaccX307HcdRf6zx+Gj0qjh384RrVlbUs+XgCU5fa0+Yv0vLu3ozg6vmYx15PzQpETaO8SfY4/2vxBsA1O4nvQu6TU13Ba4Y2vGFki3JrcWOXcYUFfOvpRkB2FjMMDPnEzp7uHcQlPAsqqth015urEXFYaWty8c2F6PcQlySvrZdw6HYgx++H0LNLJ356axp2gxp/euGRHhXX953yekjXWz6SyaONhdL1ggOS2b3tHrnZpU1C10tPyGXP6kuE+yQyfIo5r342mW49Vf/Sa0WGpXPz/OP3OFU1+VRWVr4UZ6qXPrGTXFLCLMNnrwY0lhLzi3jvzHVKa2rZu3gaDgPEvVH/TAqFgiu+MWw+74GqSnv2fzgbi/7iKC6/VVpWMTuPuuMXmspQC11WfzQZbc3GPZzV10u4eSUM55N+lJfVMHaSCXMXDaXHX3gz52eWcGTDDdyvhmJooc3mi+8x0Fy7Ue4zLSaTouwSJq8a2+hJHYCBRr15dePrj72en5/H8JE/UVlZ+avHH5dZlslkODo6/u5xY2Njdu3a9af3o6Kigrm5OQA6Ojrk5eVRWVmJikDPl6ZWrVTC/rgA9sb6o6rUni1DpzBZ21CYaahcoeB6QjwbfL0prq1huZkFr5lboSLQNDA+t5Afb3vgn5LJ6IH92LFwCtrqAtGlVbXsu+HPec9ItDTU2PnODGwNtYStJ5XJuXYvkoNnfZDJFaxa5MD0sabCTPwUCgVB/sns3+FCZkYxk6dbsOhVe2EjEAqFAr+70Rz64Rr52SVMW+bIvLdGP7enhWqXjuw/8fh4AzB12gUWLFjA/v37f/X4H8Wc5njzdFIoFNzOfMDaUFeK62p4a9BQVgy0FurdFZGXy2oPNyLyc5k3yJgPh9ihriyuay6nrIINd7y4HZ3AsH5abJw9Hr3uApO6tfUcuBXAKdcwtLqrsfu9mdgYiPXRuHInnANnfWnTuiWfvuHE+OGDhPpo+Psksmf7PYoKKpm7yJY5i4bS7hkr2M+ipOhM9qy+RExQKmNmW7P0XxPp0v35OtadJpgwedqwx17fsbOGquoSvLy8fvV4c7x5PiVXFPN9yH3cc1IY10ef4yPnodlRVdh6JbU1bPb35Ux0JIO7a3BxzgJMBdL1GqRSjvqGsscjkM7t2wkfLVcoFNwOesC2S15U1zXw1lQ75gmm60XGZ7P1oCvJaQVMH2fKq3PthNL1crJK2LP9Pn7eCdgOG8B36+eIpeuV13Biy22uH/dBd2CvRqHrGZtp8fXq+Y+9/uBBHK+uuEhBQcGvHv87nqle6sRORX09WRXl6KmJ2wQ8SW4PUvjY+Sb6PbpyaOlMegg09fszFZVXs/r4XXxj05g/woy3ptrRXiCW75cqr6zlsLMvl26Ho92nK1v+Mxsrk8Y9nEkkMm5fC+fEYS+qKuuYMNWMuYts6foXZ0SvHfNm3/eX6dZTjS92L8VunHGjBvYwlyiUO7VngCCUZ3tlJbR1H19dUGonAaBdu6cL5q1atcLb2/uZ7kEqlVJYWEjPnj2xt7fnzJkzAFRXV6OkpPSP2fTIFQoupkSxIdyDSkk9bxoNZbmBFe1ai3t/+Wdlss7bg+iCfGYMNOLDIXZCjZHzK6rY7uLLpbAYjHppcGz5bKy0xSWFJVIZZz0i2H/DnzatW/HJvBFMGzpI6Ey7f1gqO464k5lbyoxxpiybbUunRu4k/KVSkwvYs/0eoUGp2Dno85+1s555RPRZlByTzb7vLhPpn4TDRFO+O/oaPfs2jhFz69YtnxhvAJTatqZVq1ZPFXOa482f60FZId8G38M3P52p2kb822wEPZTFfY+F1dWs9/XiQlwMlr16c3XeIowEenfVNkg46B3MQe9guqt0YNfCKQzXF+ujcc0/lh1XvJFIZXw4y5FZ9mJ9NEKiMth2yJWMnBJmTzBn6WxbOigLrGCnFbFn212CA1JwGDmQ9dsWovEXK9hPo7KiSo5uvMmdswHom/Zl65UP0DdpnCSZqloHNDQeH3PUunSgprasOd40kioa6vgp2ocj8cHodVLn5Kj5DO2hLWw9qVzOyahwtvr7odSqFT+OHst0A3GFMoVCgVt8Cj/e9qCgspoVwyx5dZil0HNSXEY+G5zdiUjJYYqtEW9PtUO9k7jpkoLiSnYd8+C+dzwWg/tyeNMSdPuK60Kqqa7n9DEfLpwJoEcvVdZtmY+ljTjvPplMzq2f6XotWrbgnTWzGTPbulG6kJQ7tH3iHqeqJh94Oc5UL3Vi51hEGB2UlLDrI67a8jidCohgzQ03ppoO5Jspo4T6TvyZfKJT+eroHTq0bcOBD+dg1k+cyeAv1SCRcvFWOEfO+9GmdSs+em0ME0cOatRWP5lMjuvdaI4d9KSooIJJ0yyYt2Qo6l3/2odqQ52Evd9d5uZJXxa+N5a5b43+y63CT1Lvfj2oqaglJymPPvpN8/sQqc2bN5Oens6RI0do164dpqameHt789NPP3HhwgUmTpyIh4cHX3/9Nfn5+Rw4cOBF33Kjac7d48RWFTNHz4SPTBzo1l5ce3BicTE/+njimpbCsD5aXJu/GMNu4gwnq+sbOOQdzGGfEFSV27N+5ngmDNYXWk12i0hm20Uv8ksrWTjKnGVjrYSaBqZkFLHjqDuB4WnYW/Vj7adT6dtLoBdSSRVH93tw61o4ev012LhzMSZm4rqQyooqObbpFnfO+tNvcB82XXgXQ4sX1znaGPpfjjdl9bXsivLgZGIYRmoanHdajEU3cUnWBpmMI+Gh7Aj0R6WtEtvGTWRSf7HGwbejE9hwx4vy2jreHG7DK0PNhe6hIlNy2eDsRlxGATPtB7Nq8lCh4+k5+WXsPOqBR0AituY6fP/xFPr2FhdzqirrOH7Ikyvng9HS6crGHYswaaTu4z+SVCLj2lEvTm67Qzvltny0aT4jplm8tPjy/+V4I1cocE6OYH24O1K5nK8sRrOgv5lQurBPZjrfebiRWlbKMlNz3rIaIrQTObmgmHW3PPBJSmfcoAEcHmtPL4EeqCUVNey86sNl32gG6/Tk2CfzMdIW52tVXy/h9LVgTlwMQK1zB9Z8MhUHwXQ9lztRHNjtSn2dhBVvjmTKTEuhdL1I/yT2fHOJjKQ8prxiz4J3x9Kx89+LrvcsEhlzWigUCoXAe2801dXV0b59e2pra2nXrh21Egn2h/czb5AxHw99fLtmY0suV7DxrheHfUJ4d9RQVjlavzDXbYlMxs4rPhy7F8J4awM+mzdS6AHpkRQKBZ6BSew65kFhcSVzJ1uyeIYNyu0bb/5WLlfg7R7P0QMeZGUUM2a8MYtetf9LI1ePlJ9Zwpo3D5OVUsgH6+dhP9G00e73t5LJZLzS7x3splnzxpaljfraq1atQktLi88+++yxz8nJyUFPT4/a2tpGXft/SY9izrybR/hqyDgM1cRVrwurq9ka4MvZmCj6d1Hns2GOOAg2Kb0UFsu2+z7USqS87mDFYltz2omksmQWsPm8B8EJWThZDODd6cPopS7O06K0vIaDZ324di8SXa1uvPPKcMwHiysCNNRLuXA2gNPHfFBWbsvyN0YwauxgYUkySYOUq0e9OLX9Lu3aK7Hs00mMnN74h6tbt26xevVq/P39n/g8Kysr1qxZg5OTU6Ou/7+iR/HG+MSPtGnXlk9MhzNL11hsBTstle+93MmtrOQ1C0tWWVjTvo3ACnZuAWtvuhOcls1U04F86DSM7ioC0bdlVWy/7M2NgDgsB2jy8ezhDNAU6KNR18CJS4GcvhKERrdOvLt0BLYWYrp24WHh686NCA7vcUOuULD0teFMmGIm1EcjxDOevd9eJjejiJkrRjD3rdG0b2QfDSUlJTIzM9HQePxn7po1a8jOzn6qsYZm/V6P4s3Ey3uJqy5hQT8zPjSxR62tuLHLzPJy1ni7czc5iRHaunxh74iumriEZ0VtHbvcAzjpH06/7up8PnG42E5kmQxn9wj23vCnvVJr3p1uzwRrA6FJcs+Ah3S90vIaFs8YwrwplrQVUKx+pAexOezccof42GzGTzZj2evDUVUT2IWUXcrBtVfxvBGOhYMBr/1n2nN7oP5Wc+bMYdSoUbz++uPHzaOjoxk7dizZ2dmNurYIvbQdO4fDQ6mSNPCKqVmTrrvprhcn/MP4ceY4ppgObNK1f6nC8io+3X+D+IwCvl7sxBRbcaZ4v1ROfhkb990nMDyN0cMM2Pb1bHp0b9zDWUZaEds23CQyLIPhowz5Zt3s5x5hqK2u56PZ21HprMz2qx8Kx262atUKp1eGc/PA/UZP7DSraXVo+JzfGaY1lmokEg6EBrMvNAgVpbasG+XEDANDsRSYpHTW3/YkubCY2ZaDeXuELeodxW3mCsur2HnFl2v+MRhp9eDwx3Mx0RNnGiqRyDh/K5Qj5/xop9SGf61yYvxwI2GHHYVCgZdbPPt23KestJo5C22ZvdCW9o2Y6P6tAt1i2ffdZQqySpn52gjmvDGq0Q9XzXoxmqYzmI8sR9BJSZwnQnJJMd97ueORnsb4fgM4Nm0mmp0EJlmra9nm4su54CgG9dbgzGvzMOkj0EdDIuWkaygHbwXSqUM71q+cyCgzsT4a973j2X3ck6qaelbMH8bsCebCvLsAoiMz2bXlDslJ+UyebsGSFY50ek4vrScpJ72I/d9dwf9+NLZjBvHNwRX00mqcUc9mvTgpt2nD9fGvMlBN3J64RiJhd3AA+0OD6a3SiUNTZjBcW6BxsFzOhdAYtt33Qa5Q8OWkEcyyGCR0X+UXm87Gc+5kFZWz6Gd8uXI7cXuAlIwith1yJSQqgzH2A3ljsQPd1cWNB5aWVHFwtxt3b0ZgOFiTnYeW019fXAyvq23gwl5Xzu1xpYtGZ77evxyb0UZ/S3z5300vZWInrqiQbQG+fDDErklpWG4PUjjkE8K6GU4vNKkTkZLDv/Zdp51Sa459Op9+vcV/uEqlMs5cC+awsx89u3dm53fzMDFs3Mx3Q72UU8e8cT7hR1/truw48Cr6ho1zADy/15Waqjp2XP8I1b84xvWsatmqJe06iNucN6tpJOKDRCaXcyEuhs3+PlQ3NLDKwprlZhZCq+VJBcWsv+2JV2Iaw/V12DxnglCT0roGKSdcQjh8J4jOyu34ful4xlqKHfPyCU5mxxF3CoormTfFikXTrRu1k/C3SkrIY9fWu0SFZzBq7CCWvzGSbs9pGvokZaUUsO+7ywS5xWE33pg1R1eh0UdcxbNZTa/PzEfQTlBSp6K+np8C/TgaEYaeWhdOTp+NrcBRdolMxpnASHa4+qHUuhXfTxvDVFNDoTHAMzKFTRc8KCqr5hUnS5Y4ifXReJCSz9aDrkTFZzNh5CBeX2CPusAKdmFBBft3uuB2LwZTC232HFmJjsBCVW11PWd23OPiQXd69u3K98dex8LBQNh6zWpaHR0xT1jhSqFQcDUhnh+9PalqaOBj22EsMTFDSSBdLyQ9mzU33EnIL2S+tQlvj7Sls0C6XmZhGZvPe+ARmYKjsS5b35xKn26qwtarqKrj0FkfLt0OR0+rGzu/n4fJQIFdSBIZl88FcuKQF8od2vLvr6cxYoy4BItCocD7ZgQH1l6lsqyGBe+NZdqrjsIIov9EvXQ/qXqplI/u3sJYowcrzS2bbN3c8ko+u3CHqaYDmWb24ihc1wNi+e7EfWwM+vL90nF0aoLEQVxSLj/suktmTglLZg1h4VTrRq9EhYeksXX9TYqLKln+xkimzbKiVevGya4X5pZxYZ8bC951arKkDkBRVjFdBc7VN+vllFd6Gmu9PUgqKWbuIGPes7EVmqAurqrhJ1c/zgVHMUDjodG7rZ64w5xCoeBuSALbLnlRVlXLsrFWLBptIfRwlZxeyPbDboREZTByqD5bvp5Nz0buJPylSkuqObzXjdvXw9Ef2Itt+5ZiOEjc5qq6so7TP93lymFPNHW7s+7Um5gO7S9svWb9sySTyzkfG81GP29kCgX/cRjBvEHGQn00fJPTWXvDnYySMpbYmrPK0ZqO7QR6aeUWs/GcB/5x6YyxGMD779vTs4u4JGtpeTX7Tvlw3SUSowG92P/jQgb2E9iFVC/l3Ck/zhz3RVVNma/XzcLOQZwXklwux+1yCId+uE59bQPL/z2ZSYuH0VpgF1Kzml6i/n6iC/JZ7eFKaG4OswwH8fHQYUL3OXnllWy848WNqAcM0e3DpTcX0V9DXNG7uq6BQ7cDOeESimbXzsKJnjKZnGv3I9l/2ocWLRDiafpbBfolsWfbPfLyypiz0Ja5i4YK7UROic1mz+pLRAUkM2qGJcs+nYS6hrh93D9VL11i53R0JKmlpdxe+IrQtrrf6qhvKB3aKvHVpJFNtubv7uFuMNsuebF4tAXvTh/WJN//5bsRbD3owmD93hzZ/IoQ01GXO1Gs//4qNrb9Wb99Id0b+Y0c5BaLQgFTX3Vo1Nd9khrqGgh1icJijLGQ16+tric9Ifex1/Pz84Ws26y/rqSSYtZ4eeCRnspIbV22j5tEf3VxHTMNUinH/cPZ4x5Ae6U2fDt1NNPMxI55xabns/GcO+HJOUyyGcjb04bRXVWch0Z5ZS0Hzvhw5W4E/bS7C69eSaUyrpwP5thBT9q3V+KTr6Yy0kkculgul+NyMZjDP1xHIpGx8supTFw4lFaCTArra+tp+wc+bTKp7InxBh4a0zfr76fgnGy+9XAlrqiQhYNNeH/IUFTbiRvZySwp48dbnrjEJzNcX4cdC6egra4mbL3Kmjr2XPfH2SMcvV5d2f/BbCwGiI0BF2+Hc+isL23btubLdybg5DBQaAXbx/MBe7ffo6y0hnlL7Jg9f4jQCvaDiAx2f32RhIgMxs0bwpKPJ6CqLi6O/5HKi6uoK5c/9npZUWUT3k2znlZFNTVs8vPGOSYKsx49uTR3IcYa4oyD6yRSDvuEsN8zEPWOymyfP5nRA/WEGgffDIxj+2Vv6hqkvDttGHOGm9BGYBdSWEwmWw+6kpZVzMzxZiybY4uKwKJ+VkYxu7fdI9AviWHDDVizeR49e4mL4RWl1RzbdItbp3zpN7gPmy++x0CB5u9/pJqquifucXLSCpvwbp5PL11iZ39oEEtMTNFSVW3SdYPSshihr0uHtuKylY+TQqFgxxUfDt8J4qNZjiwcZS58zQaJlK0HXbl6L5Kls4bw6ly7Rj+8KBQKzp8OYN+O+8xeMISVb40SEow7d+lIQ72EFi2aLhHovOEqpXllzP98hpDXjw9LZ9WJ9Y+9XietErJus55dJbU1bAvw41RUBP3Vu3J8+izs+oir7CgUCu7HJbPhticFlVW8OsyS5cMshcau4opqdl7x5YpfNIO0e3L8U7EUCKlMzpW7ERw440PrVi35ZJUTE0aIS7AAhAalsGvrXXKySpk1fwjzl9jRXlnczzQxKpPdX18kPiyd8fMfHq46dxFzuFIoFHie82P/pyc4kfp7M9LSwkpWOT0+3gCk5eYJubdm/TXlVlbyg48n1xLisdXsy/UFS9BXF1jBrm9gn2cgh31C6aPWmf1LpjOsv7aw9WRyOZd9otl51RcUCj6dN5LpdmJ9NALD09h+2JXsvHLmTWl8aMRvlZZSyK6tdwgLTmOkkxEr3hwldNSztLCSw+uvc+9cIEZWOmy/9iH9BHYi1tXUkx6bhb7l7xHJ984Hcv1Q4GO/Nrk8kNHzTYTdW7OeTRKZjOOR4WwL8EO5TRs2OU1gqr5Y4+B7sUmsv+1JSXUNrzvasHSoOW0FAiBi0vJY7+xOdFou0+0G89aUoaipiPMnzCsoZ+cxD9z8ErA21Wb1h5PQ1hRXDKyurufkYS8uOQei2Ved9dsXYmYp0AtJKuPGSV+Ob75NmzateP/HeYyaaSmMrqdQKIgLSMRwyIDfXYvyT+buT4/f41Q2FMFLYu/z0iV26qRSXjO3atI1q+rqic8tZKV9064LD/8Q15125ZJPFKuXODHZVvwYWEVlLZ+su0RyeiFrPpmKo42Ylv8Du1xxPunH6++MZtb8IULWAP7byldSUE6PPuKC4iPlpRVwet1FFv9nNt37iNlIG5hpsXzL4x3c8/PzcHQ6IWTtZj2dJDIZJ6Ii2BbgS5uWrfhuxGhmG4o9eMTnFrLuljuBqVlMGKzPR07DhGI9JVIZp93C2H8zAOW2bfhu6TjGW4nbzAGERmew9aAr6dklzJ5oztJZtnQUaBycl1vG3p/u4+0ezxC7/qz+cQ69NcWNWJaXVHFkww3unAlgoIU22699QL9BfYStlxSeyq73DhPlFcfoxX/c1ajWTYU9pz554utMmekm4vaa9Yyql0o5EBbMrqAA1JWV2T1xCk664tC3CoWC65HxbLzjRU2DhA+dhrHQRmwFOzw5m/Vn3UnMLmSOowmvT7QVOpaenVfGjiPueAUlYW/Vjx8/m0HvHqrC1qusqOXYAU+uXgpGV0+DLbuXMMhEoBdSg5QrR7w4tf0Oyh3b8en2xThONhP6N+Ph7Mu+T47Tuk1rjiXt+N1zxsyyZtK84Y99jR27t1FdXyHk/pr1bPJKT+M7TzcyystZbm7Bm5Y2dFASl/BMyC9i3U13/FMymWRswEdOw+jRWZzNQlF5NTuv+nDFNwZTvV6c+PcCBvYVR0mtq5dw6koQJy8F0rVLR37493TsLHWFdiHdvRnBoT1uSCUyXn93DJOnWTSaHcYfKdw3kb2rL5GVUsDUZQ7Mf8eJDiriYnhGfDa7PzhM8J0I7snP/e764CF6fL1mzmO//kFCPMtedxV2f42ply6x46TXH3VlcRnSP1JSYQlyhQKjXmJJSn+kPdf9uOQTxY8rJzHStJ/w9aRSGV9tukZ+YQV71y1Et6+YxER0RAbOJ/346PNJjJtkKmSNR1JRffj3UlVeA02Q2Nn3yXG6aqoz44NJwtZo36EtWgMeP8/fpqNC2NrN+nP5Z2XyjYcraaWlLDMz501LG1Taiks+lNbUst3FF+egKIx6defUyrmY9RVHnoKHFIgNzm7kFFewZIwly8Za0b6tOB+dwuJKdhz1wMUnHhszbb7/eAp9BXpYPfK0OH3Mh67dO7Fm0zysbcXFYJlMzp0z/hzZcIPWbVrx8eYFjJhmIWwzV1laxZGvznB9z130rfvxk/9aDKz/OInfqnWrJ8YbAKV24n73zfpzKRQK7qYksdbLg6Kaat6wtGGFuQXtWov7vcRk57PmphvhmbnMMB/EB6PthBL28ksr2XbRi9vBD7DW78OZLxah10tcF1JNbQPHLvhz9loIvTQ6s/mrWVibagtbTyaTc/NqGEf2udOiRQve+3g8YyeZivXR+AVhb9brDwl77ZTFfVYlhaey6/3DRHnGMeYVR5avXfiHz+us3vGJuHPVripUZzcndl6k0svKWOPlzv3UZEbr6LF/8nSh0xRlNXXscPXjTFAEAzS6cXLFHMy1egtb75eFqw7tlFj76kMAhMiEp5tfAjuPulNRVcfS2bbMnWyBksAupNjoLHZtuUvig1wmTDVj6crhdFYV2IWUWcyBNVfxuR2J1YiBfLF7KZq64s7WVWXVnPj2HJd33EbLUJONbt/84fOUO7Z74h6nsqFY0B02vl66xE7X9k2b1IGHplwtWiA0I/xHuuoXw/6bAXyxYFSTJHUUCgWb9rsQk5DDru/nC0vqyOUKdm27h7mVDmMnim+lbf2zH4VM+vh57cZShEcMXuf9+e7qv1ESeMht1t9TuZWVrPPx4HrCAxy1dNg9cQo6quJmk2VyOc7BUWy770vrli35btoYpgmkzgDkFJez6bwnbuFJDDfRY/tb09AUSIGQSGQ43wjhyDk/VDu154d/T8POUtwMPUCQfzI7Nt+muLCShcvsmTnPBiUlgZ4W4ens/Oo8ybE5TF1qz8L3xwmrXsnlcu4cduPgZydp0aIFH+x/A6dXHIW1PzdLvBKKi/jW0w3fzAwmDzDg33YO9FQRt18prqphy30fLoZGY9qnJ+deX4BRb3EV7HqJlOP3Qjh0JxB1FWU2vT6Z4SZifTTuesay+4Qn9fVS3ljswIxxpv/dS4hQZFg6O7feJT2lkKmzLFn8qgMdBVaws1IK2P/9FQJdY7EbZ8z3R18X2tFcXlTB4S/PcOvAfQZYPTmR3Ky/t6oaGtgVFMChsBD6du7M0Wkzse+rLWy9R/uc7S6+tGzRgq8nj2KGuZHQ7mfv6FQ2nfMgt6RpCldJaYVsO+RKWEwm44YbsmqhA10FjV4DFBVWcnC3K/dvR2Fs1pddh1eg119gF1JNPc67XTi/143ummqsPrwS6xGGwtaTyWTcOezO4S9OIZPJeWv7q0xYOYpWAjtJ/y566RI7qu2aHh+dVVpOt44dhLYW/1aRKbl8f+I+y8ZaMdNejAHvb3XlbgTXXSJZ86+pDNAV9wZ3vx9DckIee46uFHo4+69+XkImE5/Y2fev41iONcFmongfpGb9fSSVyzkSHsrWAF/U2yuzb9JURumITT6EZeTw3TVXEguKWWDzEOupIpA6Uy+RcuxeMIduB6KhpsJPb03DbpC4+WuA4Mh0Nu93Ia+wnIXTrVk0zZq2AjdXBXnl7Np2Fx+PBwwbbsD6bQvR6KkqbL2K0moOr7/OnTMBGFnpsvPmx2jriyPrJIWnsm3VPhKCk5ny5jhe+XYuHVXFkUqaJVbldXVsDfDlRGQ4Bl27cXbWXKx6ifNEaZDKOBUQzk43f5SV2vDjzHFMMhbro+EansSWC56UVNbw6jhrFo+2EOqjEZeUy9aDrsQm5jJplDGvLRiGWmdxBcWCvHL27XTBwyUWC2tdPj8+HS1tgV5IlXWc2XGXy4c86a3TjbUn38DM7veeE40lqUTKtd13OfaNM0rt2vDxobcYtci+OZH8EkquUHA5Ppb1vl7USqR8OsyBRYPFjl0Gpmax7qY7ST/vc94aMYROAvHl6fmlbDrvgXd0KiNN+7Hjnen07iqOzFReWcv+095cvReJvq4Ge9YtYNAAcd3WDQ1SLp4J4ORRbzp1as+X38/AYYRY83ePq2Ec/OEa1ZW1LPl4AlOX2tNGYKEs2ieeXe8dIjkincmrnFiyeg6dujRtY8aL1EuX2Cmtq23yNe/HJWOlLW6z9FvJ5QrWO7th2q83b02xa5I1K6rq2HvKm/lTrHAQ5KnzSD6eD7Cw1kVHr2lG2yJ8E2ndphV9BK9XX1tPQnAyXzl/2DQJqybSjRs3uHLlCv379ycsLIzvv/8eXV3dP3zu+fPnWbx4MbW1Tf8+fVGKyM/jC5e7JJWUsMrSmlWWVkLHH8pq6th8z4tzwdHY6PTh0luL6Ndd7IihX2w6P5xxpbC8itcmDmHhSHOh7cFFpVXsOOLOfe94hlrosuELsZ4WUqmMC2cCOHHIiy5dO7J283yshvze0LOxJJfLuX8+iIM/XKNVq5b8a+tChk8xFxY3aqvrOP6NMxe23sDApj+7QtajZ6ItZK3nVXO8+XPJ5HLOxkSxyc+bFrRoEv8ur8Q01t10J7usgmVDLVjpYCXUkD0pu4gN59wJepDJeCsD3p0+DA01cZvzkrJq9pz04qZrNIMNenNg/WL0BRa46uslOJ/04+xxX7qod2T1j3OwHdZfKL7c5UIwh3+8jqRByoovpjBpkZ0wwh5A6P1Idr1/mOzEXGa8P4mFX85EWUUcke2vqDnePJ0i8vNY7e5KRH4uc40G85HtMKG2GNllFWy87cntmETs+mmxcfZ49ATuc6pq69l/M4DTbmFoa6ix+72Z2BiI87WSyuRcuRPOgbO+tGndkk/fcGL8cHEACIVCgZ93Inu336OosJJ5i4cye6Et7QSOUCdFZ7Fn9UViglIZM9uapf+aSBeB5u+FWcXs//Q4bqd9MB05iD1hG9AZJO53+FclOua8dImd5NKSpl2voJiIzFzeGWnbZGveCoonLiOf058vEjpS8Usdu+BPq5YtWDJTnIkxPAwukWEZzJpvI3SdX8rlYjA2o4xQEVyZzkstAKBXP3E0oBehrKws1q5dS9euXTl37hzffvstR44c+d3zcnNzCQkJQaH43/D3qWpoYLO/D8ciwrDq1ZsbCxaj10XcxkOhUHA5LJYNd7xo1bIF62eJrZYDFJT9H3tnHVVV9r7xh+4uERGwCAtFRJCyu7tjrHHCGZ0ZdeJrO3a3jjEWto4tKimCUiIKiEh3172XW/v3h8pPVErZB5H9Wcu15J5zz7vPvfc8Z+/37P0+Jdh8zhueobHo0bEl9i4YhaZ69G7MYokUl26F4+Bpf2iqK2PdkuFwtqe7DDUiLBE7N91CamoeJkztjnGTnKhaCcdHp2H3X+fxPDgBg6d2x7RFA6GmSW+wE3gtBLt++AclBaX4fuc3GDSn9xf9tJzpTdU8TkvBCu/7iMnNwdSOnbDAwRGaShSfYOcWYP1NH3jFvEIv65bYP2U4THW1qcUrKhVg37WHOOf7BK1NDHD4l7GwbUmxjoZIgvM3Q3H03EOoKiti2U+D0NuZ7iwkP69oHNh1F4WFvNdLPcc5UNWc6LBE7Ft+EbFPk9F/giOmLhpAzWEPANLjM7H/l3/x4NIjdBtsh+WXfkOz1vRmIn4OTG+qJru0FBsC/HAh6hm6NDXBf+Mno60hvYQnXyjCP/7BOOT3GEaa6tgzaSjcLekWDr4a+By7rvhDJJZg4Wg3jHbpAHmKda1CniZh++H7SErLw9hBdpg2uhvUKNa1SkrIwd7tdxAc9ApuvWywcedkGDahNwupILcExza9NoCwtG2ObVd+hiXF4u9CgRDnNl+Fx9+XoG2khWUXfkH34V2/2AfstDWnwSV2EgoKOI3n8TgCxloa6NaCnivJuxBCsP/aQwxzbIc2zQw4iZmdW4wLN8Lw3TQ3qu4yAJCUmIuC/FJ06ETP7vld0hJzEBH4En/tn0k9VnbK66SjXlN6BV3fwivmI+FZcqXbMzJfWw8LBIIKr8vLy0NevnaX/dy5/+++JZVKoab28QTZ6tWrsX79emzdurVWx2+I+CYm4Pf7d1AqFGFtzz4YY9OO6k0kITcfy67cxeOEFIy374ifejtRnY4skUpx1vsJdv/3ADrqKtg2fxhc23/8iUJd8Tw2HZv2e+JVcg4mDLXH1FEOUFGmNyOgsICHA7vu4s6NCHRxaIHl68dQdbsS8IU4tf02Lh7yRgsbE2z/72e0bk/vvlKQXYjdPx6G95kAuI9zwrwt06Fn/Gn1nkRCcZV6AwBlvDJIJJLP1hymNx8nrbgI6x744tqLGDibmuHGxGlorUfR+rZMiP0+j3A0IBTNdbXwz/SRcGpJ774tkUpx6UEk9lx5AMjI4PcJvTDUiW4djcCweOw47IWM7EKMH2qPKSO7UtWc+Lgs7Nl6G+GhiejVrx1mze8JfQN6ifK8rEIcWX8ddy88RruuLbHj6iK0bEsvScYvFeDMuss4u+k/GJnpY83139F1QKdPOlZ+diH4OcJKt+dlFkAqlTK9oYRQIsGxJ6HYGRQIDSVFbO8/CINb0y0cfPtZLDbc8kUhX4DvejhimlMnKNayv1obnsanY+NZbzxPzMQol/b4dogTtNXpPWRJyyzA7mM+8AmKhWNnC6z+dSiaUxwvlBQLcOKwHy6ffwwzC31s2j0FHSmOvcQiCa4d98fJbbehqKyAhZsmoOcIO6r25Q8uP8L+X/5FQWYhxi8dgTGLhkDxEzS8tIhXZR8nJTYdQMMYUzW4xA6XyfKU/EKceRyBpQPdqXYu3iU5uwApOYVYMa0fJ/EA4PyNMGioK2FoH/q1fJ6GJ0JZRQGtLbmZ1XLhgBeamOrCoRe9Il1vMW/7erney7B42PezpRbHwcEBixb8Aq+/g6Ei86EgEELwDI9gZGYEFZWKN6lly5Zh+fLlnxRXKpXi9OnT2LFjxwfb9u3bhwkTJkBdnd5TwC+BQoEAa/y9cf75Mwxs1QbL3HvCQJXeTDCRRIIj/iHY7R0Icz0deMyZgA7N6F47zxMzsebUXcSm5mBany74ZoADlCmuhy4uFeDAKX9cvh0OWxtTHNs8DWbN6A1Y31p7Hth1D4qK8tTXmANAiE80dv15DkUFPMz93wgMnOREzemGEALvMwHY/eM/UFRWxOqrS+AwyO6Tj2dlZYXoqGgMaTcGTWQ+nojKIEmIRjRu376NgQMHVtj2qZrD9OY1ArEIh0JDsDc4CAaqatg/aBh6t6BbOPhqRBQ23/GHQCTGL/2cMaEr3ToaobEp2HjWG3FpuRjr3hFzB3WDhiq9xHVyWj52HvVCQMgruDq0xqY/R6KpkTa1eEVFfBw76INrl0LQsk0TbN8/HTbt6S3vFwnFuHLEF6d23IG6lgqW7poKl0G2VAfl3mcCcPC34ygt5GHGqvEY/uMAKCh+2jIPBwcHzJo8G8pPDD7aZh4pQTC8MWBYvzrr4zC9+X+8El5hta83UouLMNfOHnPtukJVgd6SnZiMbKy94Y1H8SkYZmuNhX2cYahJ77POLijBjsv+uB4UBbvWzXDq90lUH6TzBUKcuPQIp688hpGBJjb+PhKOdvQelEkkUty+/gRH9nlBSgi+W9gPA4d2ouquF+Ibjf0rLyM9KQejZvXA2Pm9oKpOT8MTniVjz09HEHbvKXpOdMasdZNh8In9RgcHB2xYuwGXf7sPJZkP2ywlUkQgAPpW2g1iTNXgEjvKFNcDv8+OuwEw1tLEaLt2nMV8FJMMZUV5tDPnJvHB4wtxxfMJxg/tQrVmxluehifBpl0zqu4Sb8nPLobnuUeY/ecwquvI36JvogdTKxOE3Y2gmtiZMWMG4uPjcfLkSfj5+aFp0/8vtEYIwbfffoucQF14enpC4z1nlMoyyxKJBG5ubh+83qFDB+zZswcAsHjxYixZsgTNm384pTI4OBgFBQXw9/eHRCLBunXrMGHCBJiZcTMziwvuxcfhj/uekEgJdg8cggGt6BWcBIDI1Az8dfkuXuXkYb57N8x0tqM6uOIJhNh77SFO3w9DhxbGOP37JKpWwoQQ3PWPxs6jXpBKCf74fgD6udnQnfn0KhvbN97A86cpGDqqC6bPcYcaxVmKeVlF2L/yMnyvhcF5YEfMWzYCekb0pkDnpOVh53eHEHDlMQbO6oU5G6dATevzEo8WFha4decmBg8ejHWn/sKgQYMqbL9y5QqmTZsG7+tecHBwwLp16yps/5jmML2pnrf25Wv8vJHL42G+fTfM6mQHJYpPsCNTM7DmujeepKRjjF17LOjtBF01ita3ecXYdtEXd0JeoJu1GTz+HIAWxvSSujy+EMfOB+LMtWA0a6KDrf8bA/uOFGchSaS4cSUMRw54Q05OFj8vGYS+AztSXWL/6P4zHFh1BdlpBRg9twfGfNsLyioUayGFx2PPgiN46heFftN7YObaCdBt8nlOkFeuXIG7uztsv2uPnTt3VrgnpKamwtnZGb9PX4I//vgDYrG4wnuZ3nw6r/LzsNrPG94J8ejfsjWODR+FZpr07lf5PD523AvA2cdP0bapIU7PGQ9bU3pL9oQiMU7dD8Ohm0HQVFPG+lmD0LszvbpWb/s4e/71QSlfiNkTnTF6QGcoKNDrx0VGJGPP1tuIe5mJoSO6YMosV2hSXOqdlpiDg6uuIPBuJLr1bofl/8xCUzN6/cbi/BL8u+ws/tt7Gy07mmGr3yq06271WcdcuHAh4uPj4ePjAx8fH+jq/v8sKolEgkmTJsEypSWuX78OJaWK/cUvckxF6okzZ86QRYsWkW+//Zb4+PhUuz+fzycAyNhTxzloHSHpBUXE+q8t5NqTKE7iveWPwzfI3K3nOIt3/noI6Tl+Kyko4lGPJRKJyegBm8nJo37UYxFCyLl998joDr8TPq+Mk3iEELJl9l7ys9tf1ONIpVKyYMECYmNjQ7Kzs8tf++WXX4ilpSXJzMys03hLliwhfn6vv7dLly4RQggRiUQkLS3tg32VlJTqNHZdUFu9IeT/NSezIJ/8cucmsdi+iSy4dY3k8eheKwKhiGy67Uts/tpKJh86Q15l5VKNRwgh3k9ekgFLDxLXn3eTC34RRCKRUo2XnJZHflpxlnQfuZGs23Obuv7w+UJyaM890s95DZk/4xCJifrwd1uXSCQScuNUABnVbgmZ6rSCBN6NpBpPKpWSO/96k+E608jkFvNJ6L2IOo9x8+ZNoqmpSe7fv1/+2t27d4mmpia5c+dOncZqzHrD5/PJi5wcMvni2XLNSSsqotre7OIS8vvF28T6ry1k4gEPEpmaQTUev0xEDlx/SBx/2EGG/PkP8Q5/SaRSepojkUjJDa9IMnTmHtJv8g5y5mowEYnE1OIRQkh4aAKZM2U/6ee8huzdfoeUFPOpxkt+mUn+nLaf9Df7iayad5hkJNG9bxRkF5Jt8/aTvnJjyPfdlpKooBd1evz09HTSunVrsnTp0vLXsrKyiJWVFVm4cGGd/l4aut4Q8uljKj6fT4oEArLWz5u02bmF9Dt+hDxISqTaVpFYQo4/DCUOa3YT53X7yIWQSKp9DqlUSrzDX5Ihf/1Duv2wney9GkB4ZUJq8QghJCYug3z7xynSfeRGsmbXTZKbX0I1XlZmIVm77CLp7biK/PrDcfLqZd2OAd6HVyIgR9ZfI4NbLyKze64lwd50x8pisZj8t+cWGak/g4wymEGuH/AkYnHdabhEIiFTp04l9vb2pOjN/VYqlZJZs2aRzp07k4KCgjqLRQhdzamXxE5hYSHp1KkTkUqlhMfjkbZt2xKJRFLle96K0Da/mnWSPpdjASHEbtUuIhCKOIn3llErjpLtF305iSWRSMm47w6R9XtvcxLPzzuK9HFaRdLT8jmJ99u4XWT9Am4SgW/55/eTZE7HRZzEkkgkZMaMGcTOzo4UFhaSVatWETMzM5KUlFSncbZu3UpMTEyIm5sbcXNzIz169CCEEOLl5UVGjhxZvh+PxyOrVq0i8vLyZNWqVUQgENRpOz6VT9EbQv5fcxz27iRdDuwhd17GUm9rWFIaGbjtKOm8cic5HRROPcGSVVBMfj1wlXSat4UsPXSd5BTS7XwIhWJy9NxD0mPcFjJ5wWHyJCqFajxCCHn08CWZPGonGdprPbl07hERi6v/7j+HpNgM8suYHWSgxc/kwKrLhFdC9zrIScsjfw1bR3rLjCY7vz9EeCX0BpDnz58nWlpaJDAwkAQEBBAtLa3yTkld0dj15s87t0irHZvJoJPHSFBKMtW2CsVicuRBCOmyahdx23CAXA2PoppgkUql5G7oCzLoj0PEacFO8s/NIOp9rOexaWT24hPEedRGsmHfHZJXUEo1XmZ6AVn15wXS23EVWfrzKZIYn001XkkRnxxcc4UMbrWIzOu7noQ9qNsEy/uIRWJyaecNMlxnGhnT5Bty+6hXjX7fn0JiYiIxNTUla9euJfn5+aRTp05k1qxZdfobbeh6Q8jnjalOhAYT+4N7iO2+XeRYeCgRUfou3xLwMpEM3nGMtF+2jWy45UOK+XQ/x7i0HPLt9guk07wt5LeD10habiHVeHkFpWTdntvEedRGMmfJCfI8lu5DpDKBiJw44kcG91hHJo/cQfy86Wv4vYuPyaSuy8iodkvIxUPeRCSknCT3jiRzbBeRfgrjyJ6fjpBiSkkykUhERo4cSdzc3AiPxyM///wzsbKyIllZWXUah7bmyBDCfYl3T09PHD58GKdPnwbwen3biRMn0Lr1/9tsi8XiClMs+Xw+dHV1EfzyJdqa0Cv+9pYZR87BWFMTa0dxV+tGIBSj5y97sWJaP/Sxo7vMA3hdOPD39Zfxz4YpsGhOb+rcW1b+fh5lZSKs2TyBeqzSYgEmOyzDgnXj4D60M/V4bzm76T/cPHgXR2I+XDP5OSgpKX10uqhEIsGECRMQEhICHo8HPz8/tGpF10WooVETvQEq15xZZ09hRe9+0FWhtyQBAM48jsC6mz6wt2iGZUN6wUSbXlFNAIh4lYaF+65CQ1UJv47tAScbutPKS3ll+P6vM0jLLsTUkQ4YO8iO6pRkANi3wxP/XQxGdzcrzP2+F9VCpQDgdyMcW3/zgGlLI/ywZjRataNbdD/uSQJ+H7AGapoqWLB/Ljq6ta2T41amNwBw7NgxLFy4EACwfft2TJ48uU5ifi18rt502LoBC13cMdqabuHgfB4fMw6fR0pBEaY5dcLM7l2o2pcTQrBo/1UEPEtAf3tLzB/aHYbadGuWHDnzAMcvPUI7q6b4YZo7WlvQc/MBAF/vKGxdew16+hqY/X1vdHWkVwsJABKi07Bs5iGIRBJM/LEPBkxwpLrsvLSIh196Lkfqi3QM+64fxi8dCTXNurkvVqY5L168gKurK1RVVcuvJTmKS5IbIp8zpjJbtwoTbDvjx66O0FGha0W/8uo9XAh9BudW5vi1nwvM9T9vyV51nPeNwLYLvrAw1sXPo1zRuTW9ulYAEBaZhP9tuQYlRXnMmeiM3s7WVJddZmUUYsnPp1CQV4oxkx0xaixddz2xSII/p+1DVEgi+oy1x+QF/aGtr1H9Gz+DvT8fxdV9d9C5d3vM3jgFZlZ18x1WpjdlZWUYOnQoXr58+drB0M8PJhzkHOqUOk1D1ZBTp06RWbNmlf/dq1cvEhAQUGGfZcuWEQDsH/vH/uH1dNnKKCsrI6tXryaRkXSXezRUaqI3hDDNYf/Yv7f/qtIbQgjx8PAgZ86cqfNr9WuA6Q37x/7V/l9VmhMREUFWr15NhEK6y2caKmxMxf6xf7X7V5XelJaWkmXLlpGXL19Su2ZpUi/Fk/X19VFSUlL+d3FxMfT1K84Y+fPPP7FkyZLyv3k8HvT09JCXl/dBVeqvGYFAAB0dHeTn50NZmV6F8S8Ndt4Vz/v9gl3voqioiD/++IOL5jVIaqI3ANOctzTGa68xnjPwaXoDAOPGjaPdtAYL05vawa49dt5A1ZrTvn17tG/fnovmNUjYmKrmsOuOnTdQtd6oqqp+stPVl0C9JHYcHBywePFiEEIgEAhQWlqKli1bVmxYJd7wKioqjepH+RZlZWV23o2IxnreNKiJ3gBMc96nMf4GG+M5A433vGnA9ObTaKy/QXbejM+FjalqT2P9/bHz/vqpl8SOpqYmlixZgoULF4LH42H37t2QpbiWnMFgNF6Y3jAYDK5gesNgMLiEaQ6DwXhLvRRP/hQEAgFUVFTA5/MbTdYNYOfNzptRXzTW76IxnndjPGeg8Z73l0hj/S7YebPzZnBPY/0e2Hmz8/7aaTApXXl5eSxbtuyjUwm/Zth5s/Nm1A+N9btojOfdGM8ZaLzn/SXSWL8Ldt7svBnc01i/B3be7Ly/dhrMjB0Gg8FgMBgMBoPBYDAYDEZFGsyMHQaDwWAwGAwGg8FgMBgMRkVYYofBYDAYDAaDwWAwGAwGo4HCEjsMBoPBYDAYDAaDwWAwGA2UBlNN6OzZs3j06BF4PB7Gjx8PV1fX+m4SdZ49e4bvvvsO/fv3x5IlS+q7OZwRFxeHZcuWwdbWFs+fP8fYsWPRv3//+m4Wdfh8PiZMmABHR0fExMSge/fu+Oabb+q7WY2Sxqg3QOPUHKY3TG++BBqj5jC9aTx6AzDN+ZJgetM49AZovJrTWPWmQRRPLioqgru7O0JCQiAQCGBvb4+IiAjIyn7dE47OnDmDyMhIqKmpNSoRevz4MfLz89G3b19kZ2fD3t4eCQkJ9d0s6pSWluLs2bOYMWMG+Hw+TExMkJeXV9/NanQ0Vr0BGqfmML1helPfNFbNYXrTePQGYJrzpcD0pvHoDdB4Naex6k2DuIqDgoJgaWkJGRkZqKioQE1NDXFxcfXdLOqMGzcOcnJy9d0MzrG3t0ffvn0BAFKpFGpqavXcIm5QU1PDjBkzAAAJCQlo3bp1PbeocdJY9QZonJrD9IbpTX3TWDWH6U3j0RuAac6XAtObxkVj1ZzGqjcNIrGTk5MDdXX18r81NDSQk5NTjy1icMXOnTuxbt26+m4Gpxw6dAhz5szBli1b6rspjRKmN40XpjeM+oBpTuOkMeoNwDSnvmF603hpjJrT2PSmQSR29PX1UVJSUv53cXEx9PX167FFDC44efIkmjZtiiFDhtR3Uzhl1qxZuH37NmbNmoXMzMz6bk6jg+lN44TpDdOb+oJpTuOjseoNwDSnvmF60zhprJrT2PSmQSR2HBwcEBMTA0II+Hw+SktL0bJly/puFoMiZ8+eRX5+PubPn4/bt2+Dz+fXd5Oo8/z5czx+/BgAoKqqCnV1dWRlZdVzqxofTG8aH0xvmN7UJ0xzGheNUW8ApjlfCkxvGh+NUXMaq940iOLJwOsf5cOHD8Hj8TBx4kS4ubnVd5Ooc+HCBezevRsKCgqYP38+hg0bVt9N4oTg4GD07t0btra2AICkpCSEhoZCW1u7XttFm7eV69u1a4eMjAyoqqpi7dq19d2sRklj1BugcWoO0xumN18CjVFzmN40Hr0BmOZ8STC9aRx6AzRezWmsetNgEjsMBoPBYDAYDAaDwWAwGIyKNIilWAwGg8FgMBgMBoPBYDAYjA9hiR0Gg8FgMBgMBoPBYDAYjAYKS+wwGAwGg8FgMBgMBoPBYDRQWGKHwWAwGAwGg8FgMBgMBqOBwhI7DAaDwWAwGAwGg8FgMBgNFJbYYTAYDAaDwWAwGAwGg8FooLDEDoPBYDAYDAaDwWAwGAxGA4UldhgMBoPBYDAYDAaDwWAwGigsscOoEYQQnDlzpr6bwWAwGgFMbxgMBpcwzWEwGFzB9IZBC5bYYdSIZ8+eQUZGBpcvX0ZJSUl9N4fBYHzFML1hMBhcwjSHwWBwBdMbBi1kCCGkvhvB+LK5efMmWrRoAUtLy/puCoPB+MphesNgMLiEaQ6DweAKpjcMmrAZO4wqefHiBbKzs5kAMRgM6jC9YTAYXMI0h8FgcAXTGwZtWGKHUSV79+7FhAkT6rsZDAajEcD0hsFgcAnTHAaDwRVMbxi0YYkdRqWkpaVBIpFAQUGhvpvCYDC+cpjeMBgMLmGaw2AwuILpDYMLWGKHUSlBQUGwsLCo72YwGIxGANMbBoPBJUxzGAwGVzC9YXABS+wwKoUQgqioqPpuBoPBaAQwvWEwGFzCNIfBYHAF0xsGFzBXLEalFBYWwsrKCqNHj8bs2bPRoUOH+m4Sg8H4SmF6w2AwuIRpDoPB4AqmNwwuYDN2GJWipaWFhw8fQiKRoHfv3hg0aBAkEkl9N4vBYHyFML1hMBhcwjSHwWBwBdMbBhewGTuMGlFWVgZXV1fcuHEDenp69d0cBoPxFcP0hsFgcAnTHAaDwRVMbxi0kK/vBjC+fB48eIC0tDSMHDmSCRCDwaAK0xsGg8ElTHMYDAZXML1h0ITN2GEwGAwGg8FgMBgMBoPBaKCwGjsMBoPBYDAYDAaDwWAwGA0UlthhMBgMBoPBYDAYDAaDwWigsMQOg8FgMBgMBoPBYDAYDEYDhSV2GAwGg8FgMBgMBoPBYDAaKCyxw2AwGAwGg8FgMBgMBoPRQGGJHQaDwWAwGAwGg8FgMBiMBgpL7DAYDAaDwWAwGAwGg8FgNFBYYofBYDAYDAaDwWAwGAwGo4HCEjsMBoPBYDAYDAaDwWAwGA0UlthhMBgMBoPBYDAYDAaDwWigsMQOg8FgMBgMBoPBYDAYDEYDhSV2GAwGg8FgMBgMBoPBYDAaKCyxw2AwGAwGg8FgMBgMBoPRQGmwiR1PT0+sXr0aUqmUWgxCCI4ePYpevXqhV69e6Ny5M+bNm4eCgoJK31NWVoalS5fC0dER9vb26N27N2JiYirsY2VlBXd39wr/jIyMsGzZsvJ9goOD0b9/fzg7O6Njx47o06cPcnJyyrdfuXIFAwcORN++fWFvbw9XV1cEBgaWb1++fDlsbW0rxFi0aNFnfyZ79uxBp06d4OTkhIEDByI5OfmDfapr+/v88MMP+OGHHz6pPbdu3YKtrS1kZGQ+6f1ckZeXh6lTp1bZztp+bgzu4EJv3lKT3wpQM32qida8y7hx42Bubl6rGJ8Sp6bURG8+1u7K+BytAb4OvaH1XTHqFq4053P6CpVdd9UdsyYxq9unJn2tT6Eqzamu3/UxmOYAubm5mDp1Kuzs7ODq6goXFxc8fPiwHlrJeMuX2Kd5S03u+9Xtw9Ux6pLq4tX2c/zataem/VOuv8d6hzRgnJycyKVLl6gdv7i4mKipqZGYmBhCCCE8Ho84OjqS0aNHV/qeH374gTg6OhKBQEAIIWT58uXEzMyMlJaWlu8zaNCgCu+RSCTEzMysPM7z58+JhYUFiYqKKt8+btw4kpSUVP6efv36kQsXLpT/vXjxYqKnp0ckEgkhhJBly5YRLy+vzzj7D7lw4QJp0qQJyc7OJoQQsmLFCtKpU6fymDVt+/uUlpZW+Hxqi5eXF/mSf8pPnz4l7u7uZP78+ZW281M+Nwa30NYbQmr2W3lLTfSpOq15l7t37xJtbW1iZmZWqxi1jVNTaqI3lbW7Mj5Xawhp+HpD47ti0IELzfnUvkJV1111x6xJzOr2qUlfq7ZUpznV9bs+BtMcQiZNmkS6d+9OhEIhIYSQnTt3Eh0dHVJUVMR1Uxnv8KX1aQip2X2/un24OkZdUl282n6OhHz92lOT/inX3+OXwJf5bdWQgwcPkpEjR1I7vkAgIBs3bqzw2o4dO4iKigqRSqUf7C+RSIiKigo5dOhQ+Wv5+fkEADlx4kSlcW7cuEF69OhR/vfYsWPJ77//XmXbgoODK/wwr169SgCQ/Px8QgidxI6joyP55Zdfyv/Oz88nsrKy5M6dO7Vqe13zJQsPIYSkp6cTgUBAjhw5Umk76+NzY9QO2npDSM1+K2+prT4R8qHWvEUoFBJ7e3uyZs2aCgO1T4lRVZzaUBO9qazdNPka9OZd6uK7YtCBC835lL5Cddcd7cTOp/a1qqM6zamu30WLhq45bdu2Jb/99lv538+ePSMAyOPHj7lsJuM9vrQ+DSE1u+9Xtw9Xx6gtVZ1/dfFq+znWFV+y9tSkf0rje/zSabBLsQBg9OjRuHv3bpVLoz4HJSUl/PLLLxVe4/F4MDQ0/OjUtJycHPD5fBgYGJS/pq2tDWVlZTx69KjSOAcPHsTcuXMBvJ5aduvWLairq2PcuHHo3r07hg0bhrCwsArvsbOzg6zs66+vqKgIBw8exJQpU6CtrV2+zz///AN3d3d0794d33///QfLejIzMzF+/Hg4OzvD2dkZP/74I/h8/kfbKBKJ8PjxY3Ts2LHCuZmZmeHBgwe1avu77Nq1C+bm5nB3dwcAHDhwAFZWVjA3N8fOnTvRp08ftGjRAv/++2/5e2JjY+Hu7g57e3sMHToU4eHhHxy3qnObMWMGlJSUYGZmhpCQEGzfvh06Ojro3r078vLyKm3rp9KkSRMoKSlVuv1TPjcG99DWG6D638q71FafgIpa8y5bt27FmDFj0LRp08+O8bE4tdEaoGZ6U1W7P8anaA3w9enN+1T2m2DUP1xoDlB9X+F9anLdVXfMmsSsbJ+a9LVoaE5N+l3vUh+aw7XeANVrzsiRI3Hr1i0UFhYCADw8PGBgYABLS0sq7WHUjC+tT1OTa7C6fbg6BlB7jfmc867tff197QG+vvFVdf3Tmn6PXxvy9d2Az0FbWxu9evXC2bNnMWfOnArbMjIysG3btirf7+7ujv79+9c4HiEE58+fx2+//fbR7QYGBlBRUUFSUlL5a3l5eRAIBJX+oDMyMhAYGAgPDw8ArzssRUVF2Lx5M/z8/GBtbY2jR4/C2dkZ0dHRMDU1rfD+cePG4caNGxg4cCD27NlT/rq5uTlMTEwwc+ZMSKVSzJ07F66urggPD4eioiKkUimGDRsGOzs7eHh4QCKRYOTIkVi8eDF27NjxQTuzs7MhFouho6NT4XVdXV1kZGR8UtsBlHfWvL29AQBz5syBoqIi5syZgzZt2sDT0xOnT5/GvHnzMGnSJBBCMHjwYAwbNgwbNmyAWCzG6NGjKxyzunM7cuQIOnbsiA0bNsDU1BT29vYYPXo0Dh48+NHvCADWrVuHW7duVbrd1ta22t9bZXzK58bgHq71prZUp0/va81bUlNTcf78eTx48AAnT578rBgfi1NbrQFqpje1aTdQe62Rk5ODWCzmXG9oas37VPabYHwZcKE51fUV3qcm1111x6xJzKr2qa6vRUtz3lJZv+t96kNzvrT+DQCsXLkSJSUlMDMzg4GBAVRVVeHj4wMNDY1PPibj8/nS+jQ1uQar24erY3yKxnzOedeW97UH+DLHV3WpPe/3T2l8rg2CepsrVAeIxWIybdo04uLiwkm8rVu3kpEjR1a5BOHnn38m1tbWJDs7m0ilUrJgwQKioKBAvvnmm4/uv3btWvLrr7+W/52cnEwAkOnTp1fYr1mzZmTFihUfPYZQKCQ//fQTsbGxISUlJR/dJzc3lwAg58+fJ4QQEhQURACQ6Ojo8n3Onz9f6RKL1NRUAoBcu3atwut2dnZkzpw5n9x2Ql5PuXZzcyv/+8iRI0RLS6v876ioKAKApKWlEX9/fwKAxMbGlm8/e/ZshamCNTk3qVRKBg0aRHr27En69OlT6edWl1Q2hfJTPzcGt3CpN58y3bY6fXpfa94ybtw4cvfu3fK4VS1pqokGvh+ntlpDSM30pjbtfktttIYQ8lXqzbtU9ptgfBlw3cch5MO+wvt8ynVX3TGr2/6xfarqa9HSnHepSb+LkPrRnPrQG0Iq15wFCxYQe3t7kpubSwgh5Pjx48TW1pbk5eVx0i7Gx/nS+jQ1uQar24erY9REY/7++2/i5uZW/g9Ahb8XLFhQ4/Ouzef4lve15+37v8bxFSEf9k9rq+lfCw12xo5YLMZPP/2EX3/9FS4uLkhISKiRK8qncu7cOXh6euLChQtVLkHYsGEDdHV1MWzYMMjLy2PUqFGwtLREy5YtP9iXEILDhw/j5s2b5a/p6OhARkYGxsbGFfZt1qwZEhMTPxpTQUEB69evx65du3DmzBnMnDnzg310dXWhpaWFV69eAQASEhIAALNnzy6fWiwQCGBoaIjs7GyEhoZi3bp15e+/c+cO5OXlkZ+fX+G4eXl55W39lLZXxrtTm5WVlQG8dsFISUkBABgaGpZv19fXr/De6s7t7TS9Q4cOoXnz5vjll1+gpqZWq/bVJXX5uTHowLXe1Jbq9OljWgMA9+7dg1QqRa9evT47RmVxaqs13t7e0NfXr1JvatPu6qhMawB8lXrzlsp+E4wvg/rSnPf7Cu/yqdddVcesyfaP7VNVX4uG5rxPTfpdlcGF5nwpesPj8bBz504cO3YMurq6AIDJkydj2bJl2LVrF/766696a1tj5kvs09TkGqxuH66OUZNrcMmSJViyZEn5+2VkZCrMoKnNedclX+P46mP9U64/1y+FBpnYEYlEmDZtGubPn4+2bdti1KhROHnyJP7444/yfepyGuHZs2dx7NgxXLhwAcrKyoiNjUXz5s0/ut5RXl4ef/75J/78808AQElJCX7//XcMHDjwg33v378PMzMztGrVqvw1NTU12NjYfDBNLDs7u8KSnL///htLly4t/1tBQQGKioooKSkBACxatAibN28u315aWoqioqLyY7wVcA8Pjwrr5LOysmBoaIj+/ft/8NnY29sjIiKi/O+CggIkJibCycmpVm3/HN4eJysrC5qamgDwwdr86s7tLXv37sXChQuxdetWjBgxAvb29pXGpTlVubLPLTU1Fenp6Vi3bl2Fm8P7SCQSbNiwAcrKynj8+DH69u2L6dOnf1JbGB/Ctd7Ulpro08e0BnhtZ5mQkFC+DjsjIwMZGRlwd3eHnZ1duYbUVAM/FudTtEZRUbFKvalpuz+X+tAbrpZifey7evbsGb777jv079+faU49wqXmVNdXeJeaXnfVHbMmMavbp6q+1tskSV1qDlB9v6suqCvN+VL6N2KxGFKpFAoKChVeV1RULK/nwfSGW77UPk1NrsHq9uHqGDW979fVeXNBQ+3vVNU/ffdzffbsGebOnYuEhIQqP9cGrzf1O2Go9pSVlZGhQ4eSkydPlr/m7e1NrKysqMTz8PAgrq6uJCsrixQXF5Pi4mIyadIkEh8fTwghZNOmTWT8+PHl+//555/kxo0b5X8vWrSITJo06aPHHjduHDl79uwHrx86dIjo6uqSlJQUQgght2/fJqqqquUxCSFERUWFPH36tPzvAwcOECUlpXK7bHNzc3Lz5s3y7X/88Qdp1qxZub2kRCIhXbt2JX/99Vf5Pvfv3ycODg6VfhYXLlwgxsbGJCcnhxBCyKpVq4itrW0Fl4iatP19PjZV+d3p3fHx8QQAiY+PJ2KxmFhbW5OFCxcSQggRiURk0KBBFaYK1uTcvL29yQ8//EAIeW1/16JFC1JYWFhpG+uCqqZQfuxzU1RUJN9//z35+++/qzzuwYMHyb///ksIIYTP51eYRsn4PLjWm7dU9lt5X2+q06e3VKY1H4v7/tKKmsaoLM6naA0hNdObqtr9MWqjNYSQr1ZvCPn4d+Xh4UH+/PNPpjn1CNeaU11f4X3NeZfKrrvqjlnd9prsU1Vfi5bmVNfv+hj1oTn1oTeEVK45rq6uZMCAAeV25z4+PkRWVpYsXbqU6Q3HfOl9mprc96vbh4tjfIrGVHU/rml/py6WYn1N46vq+qfvfq4eHh7Ezc2NGBsbV2l33tD1psEldqKjo8mBAwcqvCaVSsmPP/5YZfLgU0hPTydycnIEwAf/3sb68ccfia2tbfl7Dh06RKytrYmzszPp2rUrWbx4MREIBB8cOzs7m5iampbf6N5n48aNxMbGhjg7OxN3d3cSEBBQYfu2bduIo6MjcXd3J46OjsTFxaV83TshhJw4caJ8HaeDgwMZMmRIhTWRhBCSkZFBJkyYQBwdHUmPHj3IsGHDSFJSUpWfye7du0mnTp2Io6MjGTBgwEf3r67t77Jz505iZmZGtLS0yOjRo4mHhwextLQkSkpKZNy4cSQ9PZ04ODgQAMTBwYFER0eT2NhY4ubmRjp37kz69u1LVq1aVb52NTExsdpzW7JkCdHT0yO9e/cmhBAydepUAoBYWlpW6EjWFTwej7i5uRFLS8vydi5ZsqRGn9uyZcsqdHoWLVpEVq5cSebNm0eCgoIIIYT07t2bbNy4kWzdupWsWrWKlJaW1vk5NFa41BtCqv+tvKs3NdEnQqrXmrcMGjSo/Npzc3Mj586dq3GM6uJ8itYQUjO9+Vi7P8anaA0h5KvUm6q+K6Y59QvXmlNdX+H9Ps5bqrruqjtmTfon1e1TXV+LhuZU1+96n/rQHK71hpDqNSc1NZVMnjyZdO7cmTg7O5POnTuTo0ePEkKY3nDNl9yneUtN7vvV7cPFMWqrMdUlZKqKV9NxxFve1x5CyFc3vqpp//Tdz7VVq1Zk8eLF5du+Rr2RIYSQupwBxGAw6o7ly5dDWVkZS5YswfXr1+Hh4YHjx48jKysLQ4YMQVBQEKytrTF16lQsXboU//77L4KDg2tdlZ/BYDAApjkMBoM7mN4wGAyuaAx60yBr7DAYjZFnz54hMzOzvOijkZERAEBDQwN2dnYAAAcHB2zfvr3e2shgML4emOYwGAyuYHrDYDC44mvVG5bYYTAaCG3btkV8fHx5kUEPDw8AgIuLS7l7VkpKygcFchkMBuNTYJrDYDC4gukNg8Hgiq9Vb1hih8H4Qrlw4QJ8fX2hoKAAa2trDBs2DH5+fli+fDmEQmF5lfnff/8dixYtQnZ2NmJjY7F+/fp6bjmDwWiIMM1hMBhcwfSGwWBwRWPRG1Zjh8FgMBgMBoPBYDAYDAajgSJb3w1gMBgMBoPBYDAYDAaDwWB8Giyxw2AwGAwGg8FgMBgMBoPRQKm3Gjvh4eE4f/48lJSU4OnpCV9f3yr3J4SgrKwMSkpKkJGR4aiVDEbDICEhAU2bNoWiomJ9N+WLpLZ6AzDNYTAqIycnBzIyMtDT06vvpnyRML1hMOqOsrIypKenw9zcvL6b8sXCxlQMRt0RFxcHMzMzyMs3wFLEpB4QiUSkd+/eRCqVEkIIiYiIqPY9fD6fACB8Pv+z40uFz4kkZxKRZHQgUknBZx+vOspEGeRl9s8kMMGcFPEfU48nlPBIQNZhsjO6PwnNvUA9nkQqIV6Z3uS7kAVk78sD1OMRQsjD7BdkrO8WMsZ3C5FIJdTjRednkUl3T5E2p9aTbH4J9XhZJSXkV8+bpMX2TdXu6+HhQWRkZMiIESOISCSi3raGxqfoDSF1pzlSSQGRFK4kknQrIuXf+Kxj1QSJtIykFewnjxLbkcS8tdTjSaVS8qLQm/wTO4GcT1xIPR4hhMQWvyTLIleR70J+JGWSMurxUkpzyW+hJ4j9zaUkrjiDerzCMj5ZFexJWp1cRy7E1ez3+jkIxWLyT2gw6bB3Z7X7vnr1ipiYmJBmzZqRhIQE6m1raNS73kjFRFp6hkgyHYgkn5vrMZ/nQ8JTe5PwlJ5EysH9OEcQTy4k/kp2RvcnpaI86vEKhAXkUNxhMi3oGxJZ8Ix6PL5YSA7E3iXOt/9HjsZ5U48nkUrJuZdPiP357WSeD/0+IyGEBCQlkv4njhLXIwer3E8oFJKhQ4cSWVlZcu7cOU7a1tCo9zFVWTiR5Iwikgx7IpV+/vGqQyBKJjFZ80hggjkpLXtBP564mPhk7CU7ovqS5wW3qccTSUTkdvodMi/4O3I84ST1eFKplHhlPCPDvTeSGQF7qMcjhJAnOWlk5K1jpP2ZzaREyEEfrqiQ/HDjKrGowZhq3759BACZPn06kUjo38/qmnpJRQUFBUFWVhbbt29HQUEB3NzcOIlLpHkgxdsB/hlAoS1kdP6FjKwWtXhSUoaMosNILdwFeVlttNLfBXUlO2rxCCGIKbqPB9kHIZTy4KQ/Ex10hlCLBwAvimNxIvEUknkp6GXUA8NNhlKNl1yai23R1+GXHQ1XQ2v8ZDUQsjL0VhQWlPGxNcIPJ2NDYa1jhJO9JkJfWY1aPKFEgmNPQrEzKBDqiorY2m9glftfu3YNc+fOxY0bN7B8+XLMnDkTR48ehawsW2X5lnrTGyIB+GdAircBkIGM5gpAqS/VmAV8LyTmrUKZOBXGWnPQVPNbqvGyBa/gk7kLqfwIWGv2gZPBN1TjFQgLcDb5Ah7kBsBSow1+s/oFirL0ZqnxxUIci/fBiXg/NFHWxla7aWihbkQtnkQqxdlXEdgc7gMJkWJZlz4Yat6WWjwA8EtMwCpfLyQVFmJmp6rvT2lpaejduze++eYbSCQS9OrVC35+fjA2NqbaxoZEfekNABBhCEjRakAcDahOgIz6j1TjCUSJSMxfjQL+XWir9IaZzh+QoXg/FkiKEZhzDBH5/0FfqQVGmG6AqrwOtXhiqRh3Mu/iSupVqMipYG7L2bDRtKYWjxCCe5mR2BF9E4UiHma16okJ5t2pxQOAsJxUrAj2xNO8DExoZYuFHVypxkspKsQaPx/cjouFu7kF/nRxr3RfiUSC6dOnIycnB1evXsWECROgpqaGAQMGUG1jQ6Pe+jiSLJDiTYDgMqBgDxndY5CRUaYWTyLlIb1oH9IK90NJvinaGPwDVcXW1OJJiQTPC28jIPswCJHA1Wg+LDV7UYsHAE8LI3Eq0QNZZdno16QPhjQdRDVeXHEmtkRfw+PcOPQ17oAf2vSnGi+bX4pNT7xxLi4CdgbNcLLXBKgp0OvDCcQi7A95jP0hj2GoqoYDg4dVuf/JkyexdOlS3L17Fz/99BN++uknbN++vWHNaquPbJKHhwfR1dUlJSUlRCgUko4dO5KUlJQK+4hEIsLn88v/5efnf3J2WSoVEWnJMSLJsCOSTEciLb1A9amSVColeaV3SFiKG3mUaEWS87cTiYRuFjuT/4KcSfiRbIvqTTzTNpESyk+xcstyyZ7Y/WRq0EyyLmojSS5NphqvRCQgu6JvEadbf5KxvltIYDbdLL1YIiEnYkJIp3Nbid25beR0bBgRU87c3o+PIz2P/UMsd20lmwP8SalQWPX+9+8TTU1Ncvv26ycIubm5pEOHDmT+/PnlT25qwsuXL8mkSZPIxo0byYwZM8jNmzc/ut+rV6+IhoYGefjwYc1P6gugJnpDSB1rTlkQkWQPJpJ0ayIpXEOkksK6OJVK4QnjSHTmDBKYYE5isuYRvjCJbjxRAbmXvpVsj+pDTsfPJ2k8uk+xhRIhuZZ6ncx5/C35OewXEpT7qFa/8doilUrJ7bRwMshrHXG/s5wcf+VLhBK6s+GCs5LJ4BuHScuTf5Nlj2+TfAGParyE/Hwy+79LxGL7JjL7v0skPr/qe0Z2djaxsbEhP/30E5FKpUQqlZIffviBtGvXjuTk5NQq9tesOfWiN+J0IslfSCTprYkkdwqRCmPq4lQqRSwpIUl5G0hQQhsSntKL5PN8qMaTSMXkSd5/ZN+LEWT/i5Hkaf41IpGKqcZ8kh9BfnuylHzzaA45n3yRCMQCqvFii9LJvKADxP7mUvK/J2dJFp/uPSOTV0wWBVwl5ifWkrF3jpNneXRnIpYKhWTLQ39itWsb6XnsH3I/Pq7K/aVSKZkzZw6xtbUl+fn5hBBCbty4QTQ1NYm3d+1mMX3NekNIfYypyoi0eD+RZNgSSaYrkfKuU78fZ5dcIaHJjuRRYjuSVrCfSKR0Z3mklj4lp17NI9uj+hCv9B2EL6Z8PfKzyLaYHWRq0EyyNWYHyeDTvR4LhTyy6fl/pNutP8jkBztJWF481XhlYjE58DyQtD+zmXS7sJNcfhVJ/Tdz/UUMcT58gLTds53seRxIBNWsaLh8+TLR0tIiDx48IIQQkpaWRlq1akX++OOPWsWub72plxk7GhoasLS0hJra65kP1tbWCA0NhYmJSfk+q1evxooVKz47FikLACleA4gTALVpkFGbDxlZ9c8+bmXwRS+RmLcShQI/6KoOQnOdk1CSN6n+jZ8IT1yAh9mHEVl4E8Yq1hhvtgtGKpbU4gmlItxMv4Vr6TegpaCJH1p9BzudTtSymVIixa20J9j14hYEEhG+t+yPMc27QV5Wjko8AAjKTMKKEE/EFuRgqqUdFrR3hqYivacQr/LzsNrPG94J8ejXsjWODhsFU62qZ5IFBgZixIgROHLkCPr2fT0LRFdXF3fu3IGLiwuWLl2Kv//+u0bfS15eHqZOnYq+ffsiOzsb9vb2SEhIqLCPVCrFhg0b0LYt3dkDNKiJ3gB1ozlEkgpSvAEQ3AQUnSGjvxUy8q0+65hVIZYWI61wJzKKjkJZoQWsDE9CS8WJWjwpkeBpwVU8zD4GORl59GqyEDZafak9pSeEILzgCU4lnUG+MB+Dmg7AwCb9oSSnRCUeAMQUpWFT1FU8yU/EEBM7fNumL/SVNKjFS+cVYX2YF64kPIeTkRmuD/wGltoG1OKVCoXY/TgIh8NCYKqlhaPDRsHVzLzK9xQWFqJfv35wdHTEli1bynVl27Zt+OabbzBgwADcvXsXmpqaNWrD16w5nOoNKQNKD4OU7gNk9SCjvQtQ6kPtfkwIQW7pZSQVrIdUyoOpzmIYaUyBrIwClXgAkMqLgHfmbuSVJaCDzjB0058KJTl6fbgMQSZOJXrgSWEE7HQ64xfLn2GgRO96LBDycOClJy4mPYKlZlP8020e2ms3pxavTCLGkejH2BUZAC1FZex0Ho5Bza2o/mauxcZgnb8PisuEWOjohGkdO0NRrvI+HCEEv/76K3x9feHr6wttbW0AwIABA3Do0CEMHz4cd+7cgb29fY3a8DXrDcDdmIoQApR5gRT/DUgyALXZkFGfDRkZlc86blWUCp8hMW85isuCYaA2Bs10foWiHL3rsUSUA//sA4gpuo9mqp0w0WI/9JUsqMUTSAS4mnYdtzLuwEDJAL+0+RnttdtRiychUlxJfox9sZ4AgMU2wzCkmR3kKM609E6Nw6rQu0gpKcRsawfMb+cIVXl6s3SicrKxyscLganJGG5pjcXdXWGkXvU94+7du5g6dSouXLgAJ6fXfWhjY2PcvXsXzs7O0NDQwOLFi2sUv971pk7TRDUkKyuLtGzZsjxb5+LiQp49q/jE93Ozy1JREpHkzX/9BCtvNpGKXtX5eVRor6SQJOSuJEEJrUhE6gBSyKeb8RdLRSQ09zzZEzOUHIwdS6IKPKlnPx/nBpOFYb+RWY/nkSupV0mZpOoZJZ/Ls4JkMiNgD+l683ey9ulFkldWTDVeSkkB+c73EjE/sZZMuXeaxBZkU41XJBCQtX7epM3OLaTfiaPkQVJijd4XERFBdHV1yNF/1hOp8MUH/xJeepPmzZuS1atXV7iG+Hx+tTV4MjIyiI2NzQevb9q0iYSFhRE3N7cG9zSrJnpDyOdpjlTKI9LiHUSS3o5IsnoRKf8e5etRQrKKz5KQpC7kcVJHkl54lEildGeUJJWEkuOvviE7ovoRv8z9RCCmW2sqlZdGNkZvIVODZpJdsXtJjqB2s0JqS15ZMVnz9CLpevN3MiNgD3lWQHcWokAsIjuf+hPr0xuJ86Xd5FZSNHUNvxT1jDgc2ks67N1J/gkNJkJx9bMeeDwece7ejYwdPYCI+FEf6I2Q95yMGtGPuLrYk+Li4kavOdzojZRI+beJJKvH61qBxbup17YoFjwhkekjSWCCBYnLWUKEYrr3x0JhBrmespJsi+pFLib9RnIEdOs58cQ84pF4lsx4NJssjfiTei0dkURMziYEkF53V5J+99aQ/5KDqdYLlEqlxDP5BXG/spdYnt5Atj3xJTwR3T5cZGYGGXvuNLHYvon86nmTZJXU7J6xatUqYm7enCS98v1oH+efg38TPT1tEh4e3uj1hhCuxlQviSR35usxVf6PRCr+cBZiXSIU55BXOUtJYIIFeZo2nBQLwqjGE0nKSFD2CbIrehA5/HISiS3ypX4/9s8OID+GLiRzg78jN9NvExHlWcEhua/IJP8dpNutP8jm51dJoZDurOBXhblk5v0zxPzEWjLX5zxJKs6nGi+PxyN/3fckLXdsJkNPHychaak1el9AQADR0tIkl87v+ajeRD29RQwN9ciuXbsahN7Uy4wdAwMD/O9//8OPP/4IdXV1DBs2DDY2NhX2kZeX/6Rq1ETKAyk9AJQeAuRMIKNzEDJK9NabEiJBdslZJBdsBiCFme5yGKqPh4wMvRkliaUh8M3cjUJROjrpjoa93kQoytLLmKfwUnAyyQPPi6LgqOeAsaajoauoSy1eTlkx9r64g6upIeiobYZjjvNhpUVv1hNfLMKB54HY9zwQRirqOOg2Gr1MWlGchURwIeoZNgb4QSSR4g8Xd0xs3xHyNayLs3fvXkwa2x5TBh4CyT30wXZTNeDCQTk4DV6BP//8s8K2ZcuWYfny5ZUee+fOnVi3bl2F18LDwwEAtra2NWrfl0ZN9Ab4NM0hhABlt0CK1gOkEDLqPwBq0yEjQ+9pRHFZGBLzlqNUGAlD9Ylopv0zFOToXY+FwnT4Ze1HXIk/zNW6YpDJcugoNqMWr1TMw5XU/3A36z6aKhtjqdVvsNKkNwtRLJXgfFIgDry8B2U5BSxrPxr9m3akVruLEII7KS+wJvQ+cvilmN/OEbOtHaAkR+92HJGZgZU+9xGWkY5xbdtjoaMz9FVVa/ReX19fZKS/hOcpbcgWDAV5b7scgONbpWjnloT58+fj+PHjFbY3Ns2hqTcAQESxIMWrAeFDQHkIZDR+hYxck7po+kcRSbKRnL8J2aXnoK5kh3ZN/oOaEr0nymJpGULyziI41wNq8noYYrISFuqOVGcFP8gJwLmUixBJRZhgOg49jdwhR7EPF5wbhy1R15FQmo3xZk6Y2aoH1OXpzQqOK8zFyhBP+KbHY2BzKxzvOQHN1OnVl8zl8bAl8AE8IiNg28QYl8ZNQkejmv9GV69ejYf3F8BE5RuQ3A+3Tx8MhD4kmD17Nh4/flxhW2PTG4D2mKoYpGQXwDsOyLeEjO4JyCh2raumf4CUiJBVfAIphdsgK6OEFnoboa82guqs4FclAfDN2gueuAD2euPRWXcM5GXpzQqOL0nAiaTTiCuJg6uBM0Y3GwlNhZrNdv0UMvgF2BFzE3cznsJBrzVOdh9LtVZgsagMuyMDcDj6ESw0dHGi1wR0b2JOLZ5YKsWpp0+wNTAA8rKyWNuzD0bbtINsDe8Z27dvx0/znTC0+1aQ3K0fbG+jDxzfqYwxs3/H999/X2Hbl6g39ebjNXXqVEydOrXOjkcIAQTXXy+DIMWQ0fgZUJ1Cd4AleIyE/BXgCaNhpDEJzbR+hrycNrV4BcI0+GXtxauSh2ih7oghzVZDW7EptXgl4hJcSrmC+1neMFU1xR/WS9BGg16hMpFUjDOJD/HPy/tQU1DGyg5j0c+4I9UpwjeSorE29D4KhHz82N4ZM63sqQ6wwtLTsMLXC5FZmRjfrgMWdnOCrkrNBlhvkUqlaGLqChm9yq8fY8tMyMn1QVFRUYXXq7qxnzx5Ek2bNsWQIRULbl+/fh0AsG7dOiQlJeH48eMQiURwcXGpVbvrk7rWGwAgoujXhUpFjwDl4ZDRWAQZOXo3S6E4E8kF65FTegkaSl3Rzvgq1BQ/HDDWFSIpH8G5HgjJOwsNeUMMbbYaFurdqMWTEil8s/1xPuUipESKSc0nwN3QleoAKzAnFlujriGFl4cJ5t0xo2UPqMnT69C9KMjGypC7eJCRgKFmNljcqQeaqtHr0GXzSrEpwB/nn0eis3FTXBk/Ge0Ma/cblUql0NM3g5Lx6Ur3UQagqz8SEyZMwIEDBypsa4yaQ0VvpIUgJTsA3ilA3hIyuqcgo9ilTmO8i5QIkVl0FCmFOyEnq46W+tugpzqE6v34ZbEf/LL2QyApRFf9yeikMwryFIujx5W8wonEU4gvTYC7oRtGmQyHhgK9ZZdpvHxsj7kBr8xn6G5gib9tJ8BMnd6ykiKhADue+uNYTAhaaunhdO+J6GZkRi2eSCLB8YhwbA96CGV5eWzs0x/DrWxqPMB6i1QqhbH5dMjozap0nyZme9FZgfeBrXdj1BuAxphKAvAvgJRsAYgUMpp/AipjISNDr39cyPdDYv4qCESJaKI5EyZa30GOYumM3LJE+GTuRjIvFG00e8DZYDY0FAypxSsUFeJ88kX45TxAK/WWWNb2T1iomVOLJ5CIcDzeF/++8oW+kgY2dZ4CFwN6yy6lhODiq6fYEO6NMqkESzv1xOQ2naFAsXTGw+QkrPD1wqv8PEzv2Anfd3WEplLt+nCvx1S9IaO3o9J9jFu/gLr6HGRmZlZ4/UvUmwZo0P4hRPQMpGgVIAoDVEZBRn0hZOT0qcUrE6cjOX8dcnn/QVO5O9obX4eqIsW6NhIeHueeQlj+BWgpGGO46XqYqdFz15ISKbyyfHAx9TJkIINp5lPgauBM1X3qQXYMtkZdR4agAFMsXDDVwg0qNNdg5mdhRbAngrKSMMKiHRbbusNIlV6HLrOkBBsC/HAp+jkcTJrh6vjJsDb49BuIjKwqZBQqT7LJKLxea62sXLOngGfPnkV+fj6+//573L59G66ursjOzkbz5s3xxx9/lO9369YtTJkyBd260Rvgf+l84K6nexYyirbU4n3orrcTuqqDqA6wXhR7wT/rIITSUjjqz4Ct7gjIUayj8dpd7zSSecnoaeiOEc2GQV2eXocuhZeLbdE34JsVBVdDa2zqPBWmanrU4hWW8bH1qR9OvAiFlbYhzvaZDHtDU2rxhBIJ/n0Shh2PHkJd4bW73pA2n9Ghk5GvUm9e76MMOTk5pjl1zOsB1jmQ4i147a63HFAZTXVWcAHfG4l5K1+762nORlOtbyEnS88NMlvwCr5Zu5HCe1LurqeuQK8P97673sp2y9Bcld71yBcL8W+8D47H+8FIWQtb7aahuwG9PqOUEJyNe4JN77jrjW9lW+NZwZ+CX1ICVvm8dteb0akzvrPvBnXFT+/DycjpQkah8iS0jJweZGUFTG8o8DF3PRlZbWrxBKJEJOWvQT7fE9oqvdHG4ACUFczpxZMUIyjnXzzJvwJ9pRYY3XwrTFTbU4snlorhmXkPV9KuQllWGXNbzEI3PQeqfbj7mZHY/p67nqIsxYfWH3HX01Wu3UPr2pBSVIi1fj64FRcLNzML7Bk4BC10Pn3muoysejVjqjIADWNM1aATO0SS+zqbzD8PKNhCRu88ZBToXZxSUob0wgNIK9oLBTl9tDbYDx0VmoUKpYguuocH2YcgkgrQ3WA2OugMhRzFjHl0UQxOJp1GKj8NvQ17YpjJUKjJ07s4E0tzsC36Oh5kx6CnUVvs6DIDTVXp2Zfml/Gw5YkvTr0MRzvdJrjYbyo66dNb5lUmFuNweAh2Pw6CtrIydg0YjAGt2nxR1nnBwcGYM2cObG1tcf78eSQlJcHf3x9ubm54+fIl5N4UOTxw4AASExNx9OhR6Orqok2bNvXccm4hRAzwTr9+ai6jABnNtYDKcKpThAv495CYvxoiSSaMNefBWHMO5Cguu8wSxMInczfS+JGw0eoHJ4NvoCZPb5lXnjAPZ5PP42FuEGw0rbGq3TI0U6W3zIsnLsPRV944Ge+PZqq62NFlBrrp05uFKJFK4fEyHJsjfCEDYFXX/hjbogPkKA6wvBPiscrXC6nFRZjT2R7zunSFqgK9pNynwDSnZhDh49cPrcQvAdXJkFH/HjKy9GZ4CUTxb+zL70NHtT8sDY9BWYFiwkNSiIfZRxFZcB2Gyq0x1mwHjFVozkIU4U7mXfyXehWq8mqY33Ieuup2oTrA8syIwI6YWygVCTCvdR+MM3OEAsUBVnBWClaGeOJ5fiYmte6Mnzu4QFuJ3j0jsaAAa/294fkqDr0tWuLAkOEw16bXh/sUmN7UDCLJACneCAiuAordIKN3BTIK9D4DibQUaYV7kF50CEryprA0PAptFXqlM6REgmcFNxGQcxgykEHPJgtgo9UfshST5BEFT3EqyQM5ZTnob9wPg40HQlmO3rLL2OJ0bIm6hpC8eAxo2gnft+kHA2V694wsfgnWh3nhYnwkuhqa4mr/GbDRpTdznS8SYV/IIxwICYaxhgb+GToCPcxbUIv3KdS33jTIxA4hIoB3EqRkJyCjAhmtDa/XmlMcYOXzbyMpbw1E0lw01ZoPY83ZkJWhN2U/gx8Nn8zdyBBEo53WADgazISqvDa1eLllufBIPodHeY/RTrMtvm03B01VaC7zEuDwSy94JAaguZoedtnPRFc9mu5BUpyMDcXWCD8oyMphvcNAjGzRvtZThGsKIQT3419htZ83MkpKMK+LPeZ0tofKFzbAAoAuXbqgoKDgg9fj4+Mr/D1nzhzMmTOHo1Z9WZCyh2/c9eI5cteLe+Ou58udu17OEUQW3EATZSuMM9uFJipW1OIJpSLcyriNq2nXoSmviR9azYedTmeqA6xb6eHYFXMbfImQc3e9aZZ2+JGyu158QT5W+3rDK+FVjd316gumOVVDJGkgxevfcdfbwoG73i5kFB2BsoIFrAxPQEulO7V477rrycrIceaudzrpDPKE+RhkPAADjem7622Ouobw/AQMNumM+W36cequd23ATFjp0FtWUioUYk9wEP4Jrbm7Xn3B9KZqPnTX2wko9eXQXe83GGlMpeyu9xQ+mbuQUxaPjjrDOXfXW9jmJxgqc+eud8hhHjrofL3uej93c8J026rd9eqL+tabBpfYIWUPQIo3AZIkQG0mZNTmQYbiFGGeMAaJ+StRJAiAnuowmOoshpK8MbV4peJ8BGQfwvPC2zBWaYsJ5ntgqEzviXKZpAw3Mm7hRvotaCtoY0HrH9BJm15dGymR4npqGHa/uA0xkeAnq4EYadqV6gArICMBK4Pv4lVxLqZb2uOH9t2hoUCvQxeXl4tVvt7wTUrAwFZtcGLEGJjU0AaY8eUhzf8JROY+oOQOGe2dkJGnZ30plhYhtWAHMouPQUWhNayNTkNTmd6UcAkRIyL/PwTmHIOCrDL6Gv8GK81eVAdYIflh8Eg+g0JREYY0HYT+TfpCkWIdjeeFKdgcdQ2RBckY1qwLvm3TBzqK9Dp0qaWFWBfmhWuJUXAxtsCOQcPQSovespLisjLsfhyII+GhsNDWwfERo9HdlF4dDQZdSMleEPERQM4QMtp7AaWeVGcF55ReRHL+ekghRHOd32GkMZlqHY3k0jD4ZO1GflkKbHVHoKveZCjJ0evDpfHTcSrJA08LI2Gv2wW/WS2CvhK96zFfWIJ9LzxxOSUYbbWa4ajjfNho0ZuFWCYR42BUEPZEPoSesir2uoxEP1N6s4IJIbgSE431D3xRKhLi1+4umNrBFgpf4ACLUT1EcA+keDMgzYWM2tzX4yoZeg8gSsueIiF/BUrKQmGgPham2r9AgWLpjGJRFvyzDuBFsTeaq9phksVB6CnRuz/yJXz8l3YNtzM80UTZCL9ZLkJbLXqzEMVSCS6nvLYvl5eRxe/tRmCwSWeq5g/3U19ideg9pPOKMdfGAfNsHKEiTy8p9zw7Cyt87uNxWipGWbfFb04uMFCjd89o6DS8xE7+XECrD2R09kNGnl42UiwpQErhVmQWn4SqojVsjM5BQ5leoUIJESE87xIe5Z6Aoqwq+jf9HW00elC9OT/OD4ZH0lmUiEsxvOkQ9G3SBwqy9C7OpwVJ2Bx1DdGFqRhuao95rftAW5HexZlcUoC1ofdxKzkG7k1bYI/rCLTQpFdHo6hMgB1Bgfg3IgytdPVwauRYdGtGbxo7gyPELyFjyKW7noQjd71g+Gbuee2upzPqtbueHMU10bxUnErywLOi55y6611LDUUH7eacuusZqqjjgNto9Kbsrncx6hk2BPhBKJHgdxc3TGpPt44Ggz6k9Ahk9L4D1GZQNX8oKQtDQt4KlAqfwlB9ApppL6TqrlckzIBv1j7O3PV4Yh4uv+Out8TqV1hr0puF+NZd7+DLe1Di2F0vm1+Cb9s6Yo61A5QpDrDeddcb27Y9FtXCXY/xZUIKFgDaQyCj8Rtk5Og9tBZJspFcsAnZJeegrtQZ7ZpcgZoSzbo277rr6WKwyQq0UHf6Kt314kuzMM7MCbNa9oS6Al13vVUhd+GT/goDOHbX62DUBBfHToRtE3q/0a+FBpfYkdHZD1mtXtSOT4gEWSWnkVKwBYAsLHRXwUB9LNUBVnxJEHyz9qJYlAk73bHoojceChTraCTxknEy8TSii2PQXc8JY0xHQkeR3probEERdr24jZtpYeisY4F/nb5HG016FydPLMTeZw9x4HkQTNS0cNh9DHqY0JvGLpFKcf55JDY99IeEEPzPtQfGt+vABlhfCTL6FyGjRG/GVX2661moO2JIs1XQVqSX8CgVl+JS6hXcy/SCqWozbt315JWwosOYr85dLzwjHSt87uPpZ7jrMb5MZPSvQkaN3hNloTjrjbveRWgoOXyV7np+OQ9wLvkCc9erI95317s8fjLa19Jdj/FlIqN7FLKaztSOLyVCZBYfQ2rBTsjKqqGl/lboqQ6l7K7n+8Zdr+irddfbEXMD9zOfwUm/DUfueg9wLCYYrbT0OXHXO/H0CbYHBUBJ7tPd9RorDS+xo0Rv3XeRIBCJeSvAF72EkcY0mGj/CHmKhQrzhSnwzdyDhNJHaKnujOHN/oaWIr2ER4moBBdSL8Erywfmaub4y+Z3tFJvSS2eUCrG6YQHOBznBS0FVay1nYBeRu2oCvrVxOdYF+aFYmEZFnV0w3TLLlTXYAanpWKlz31E5WRjUvuO+KmbE7SV6SXl3iKRloInfFHpdr4ws9JtjNpB66l5RXc9J/ruelI+HuecRFj+BWgqGGN4s79hpm5PLZ6USOGd7YsLKZcgA2Ca+WS4GrhQddcLyI7BljfuepMtXDCNsrtedH4WVoR4IjCTG3e9rNISbHjgh4vRz9G16ee769UUQsRV6g0ASImAejsaAzJydAbMr931jrxx19NCK/1d0FUdSNldzxv+WQfeuOtNh63uSKruerHFL3Ei8RSS6sFdz8XAihN3vW1P/XH8RUi9uOtt6TcQQz/HXa8WiCS54AkLq9ieQ70NjQEZRXorEQr4Pm/c9VJgrDUHTTW/hZwsvQcQ77rrWWn2RneDWdTd9c6lXIB/zmt3vRVt/wczNXorSQQSIY698sGJeD8YKmthS+epcDakNwtRSgjOxUVg4xNvSKTcuOv5JyVila8XEgsK6sRdr6ZIpCVVj6lECdTbUFc0uMQODcrEqUjK/xt5vOvQUnZBK4OdUFGgN8OjTFKKx7knEZZ3ETqKzTDSdCNM1TpRiychEtzP8sallMuQl5XHTIvpcNZ3ojpF2C87GtuiryNbUIypLVwxxcIFynL0Ls5neRlYHuyJ4OwUjGnRAb/ausFAhV6HLr24GOsDfPFfTDQcmzXHtYlTYalH7wbyPiVl4XiafrLS7dlZYs7awqgdUlKG9KKDSCvcAwVZPbQ22AsdlX5UB1gxRffgn33wjbveLHTQGUbdXe9E4imkCdLRy7AnhnPoruduZIPtXabDRJXespLX7np+OPUyDO10jDhx1zsSHordjwOhqaSMnf0HY2Br7tz1RNIcPE3vV+U+fFEaJ21h1I7/d9dbA6EkHU0158FYcy4H7np7kMZ/CmutfuhO3V0v/427XiBsNK04ddczUdXFdrvpcDSg6R4kxZm4J9j0xAcyAFba98O4lh2pu+ut9vNCSlERZnfugm+7OHDqrpddcgGposOVbs8oLoAsJnDWHkbNqeCup9IPloZHqbvrBWYfw9OCazBQblUP7npz0VXXnjN3vTmte2O8mRNVd72Q7BSsCPbEs/xMTObAXS+psABr/F676/U0b4H9g4dx6q5XJAjC0/RdlW6PyxZy1pbPpVEndiRSPtKLDiC9aB8U5IzQxuAgtFV6US1UGFXoiQfZhyAhYrgYzkUHnaFUrfaeF0XhZOJppAsy0NeoN4aZDIGKHL2LM74kC1uiriMoNxa9m7THHvsBaKKiTS1eroCHTU98cOZlOGz1m+Jy/2noqEfPzatMLMahsGDseRwEPVVV7B00FH1b0KujURnqSrZob7yl0u3pJBNAX+4axKiW1+56d5CUvwYiSQ6aan772l1Plt6a6Ex+DHyydiOdH/XGXW8GVOXp3Szfd9eb32oufXe9OC94JNSPu946h4EYxaG73lw7e8y1495dT0FWH+2NT1W5j4rCKI5aw6gpFd31BsJa5ziU5GkmPN5117P86tz1pESKW2lPsOvFLQgkIs7c9VaG3MWLgmxMtbTDAg7d9fq2bIUjQ+vHXc9AfRR09cdVur2Jxl5klZZx2CJGdXzornccWio0l3lJ8LTgGgKzj0JGRg69mvwMG61+VM0fnhRE4FSSB/KE+Rho3B+DjAd8Ve56GbxirAvzwpWEZ3A0MsN1Dtz19gY/wqHQ4Hp119NUdkB749WVbpfNewFgLncN+gwaZWKHEII83g0k5a+FWFoIE60FaKI5g6p9eTr/OXwy9yBL8ALttAfBUX86VOTp3Syzy7LhkXQWwfmh6KjVAT+0mo8mKk2oxSsW8XHo5X2cTXoIC3VD7Os6C511W1CLJ5JKcOJFKLY99YeynDw2OQ7GcIt2VAdYd169xFo/H+TwSjHf3gGzOnWBkjy9SygyNQNbPB/g8PQPB0xysmpQVaz8CaEKRdcfRu3hCV+8cdd7AD3VoTDVWcKBu94/b9z1bKi76wmlQlxPv8mpu96N1DDsqgd3vbiiXMyw4sZdb7WfN3wSuXHXyyvlYfvdAKwY1vuDbTIy8lXqDQDIUnRSYdSOiu56rTh115OXUUJf419hpdmbM3e9wcYDMcC4H6fuevNa94GuEr37bFppEf4Ou1/urndz0Df03fWCg3AkLIQTdz2xRIozwRF4npaFNSM+fAilIKcHVcXKlyW+dlJKpdY+Rs157a53CckF6yElZRy564XDJ2sX8suSYas7El31JlG1L0/nZ+BUkgciCp/Wi7vekW7foq02vVlPZRIx/ol6hN3PAqCjpIo9LiPQ39SSurvehge+KOHIXS84IQW7vQJxZMboD7bJyapXPaZSYDN2vlhKhc+RmLcSxWVB0FcbCVPt36AoT68IXIkoBw+yDyG66C5MVDpggvk+GCjTS3iUScpwLf0Gbqbfgq6iHha2WYCO2h2oxZMQKa6mhGBv7B1ICcEi68EY3sye6gDLN/0VVgXfRVJJAWZa2eO7dk5QpzjAepGbg5W+XghITsJQSyssdnKFsQa9jHlOSSm2ej7ApbBn6GRKb7YDgz5iSeEbd70TUFW0go3RWWgo06tr86G73lJO3fWGNR2CfpTd9SILkrE56iqiOHLXSykpwJp33PV2u45AS6ruemXYEfSQM3c9kUSCU0FPsNsrEMoK8lhBLRKDNq/d9c4huWATXrvrLXvjrkevq5dYGvLGXS8NtjqvB1i03fVOJp3G86IoOOh2xTjTMdBTorfMK7esGHveuOu11zbFUcf5sKboricQi3AgKgh7nz2EoYo69ruOQp9mram7620M8EeZRMyJu17Qq2SsveGNV9l5mOJIrwwBgz714a7nl70fL4v9YKbWFYOaLoOOEr37I0/Mw5W0q/DMvMe5u56inAL+134UBjS1pVo6wzMlFmtC7yGLI3e9p1mZWOlzH6HpaZy466UXFmPTbT/ceBoDx5b0aiB9KTSaxI5Iko+Ugi3IKjkFNcV2sGlyERpK9G4oYqkQYfkX8DjnJJTlNDGw6V9opeFKdYAVmPcIZ5PPgSfmY2SzEehr1BvyFNdgPslPxOaoq4gtzsAoUwfMbtULWooU62gU52N16D3cTYlF72atcdB9NMw16N1ACgUCbAsKwImIcFjrG+Ds6PHo0pReh04oluBkUDj2eAVCTUkRG0cPwMD29IrpMujx2l3PAykFm/HaXW81DNTHfLXuek56jhhrOoqqu17OG3e9G2lh6KRjzom73r5ngdj/PBBN1TSpu+tJCcG555HYFODHmbveg5eJ+PuGN5LyCjHdqTPmunWlFotBl2JB8Bt3vSgO3fX24VVJwBt3vZWcuuv9br0Ylhr06tqIpGKcTXyIQ3H3oSbHjbvezeQYrA29j/wyHn5o1x3fWHf9qtz1UvMLseGWL+48fwmX1ubYNm4QLAzo9eEY9KjorteVA3c9wTvuegacueudT74ICZFw4q4XlBOLLdHXkVyai4kcuOvFFuZgRbAnHmQkYIiZNZZ06knVXS+Hx8OmAD+c48hdTyAS47B/MA76PYaBuhp2TRyKnlb0JlZ8KXz1iR1CxMgsPomUwq2QhQJa6K2HvtpIqlOE40sC4Zu1F6XiXNjpjYOd7lgoUKyjkVCaiJOJp/GiJBYu+t0xutkoaCvSW+aVKSjEzpibuJMegS66LXDC6Xu01KC3zKtUJMTuyAD8E/0IpuraONpjHNya0rs4JVIpPJ49xZaH/pCBDFb16I0xNu2oFir0eRGPdTd8kFZYhBnd7TDHtStUFbmro/Hs2TN899136N+/P5YsWfLB9vDwcJw/fx5KSkrw9PSEr68vZ21raBQJgt6468V+te56F1Mv436WN2fueh4JATgcdx8aCipY03E8ejdpz9z1PoOkvAJsuOmLe9Fx6GnVArsnDYOZnja1eO/D9KbuEIozkFSwDrmlV7hz18s9hbC885y56/lk++I8x+56W6OvI51fgEnmzpjewp2qu15UfhZWhdzFw8xEDDdvi8WdeqAJh+56/42fDBuK7no8oQiH/B7jsH8wmmhpYO/kYXC35HaAxTSnbvjQXW8ndFUHUb0fxxZ7w6/cXW/aV+2u52xghY2dJqO5Gr1lXu+661lqG+JMn8no+hW56xFCcOdZLDbc9kMBj49v3RwwzakzlBS4S3nUp9581YmdQn4AEvNXQiB6hSaa09FU6wfIy9K7WeaVJcI3ay8SS4PRWsMVzoYboalALxtZJCrC+ZSL8M32Rws1Cyyz+RMt1C2oxSuTiHAiwQ/HXvlAV1Ed620nwt2oLdUpwpfjI7E+3Bt8sQiLO7ljShs7KFBc5vUoNQUrfO4jNi8XUzrYYoGDIzSVKBYqzMnHups+8H0Rjz42rXBg6nCY6mpTi1cZkZGRcHFx+eg2sViMX3/9FXfu3IGMjAyGDx/ObeMaCB+66+2g7q73KPcEwvMuQUexGUaYbkBztc7U4n3orjcNzvrdqU4R9s+OxrboG8gSFGKKhSumtnBl7nqfQWmZEAd8H+HIg1CY6mjh4NQRcG5tTi1eZTC9+Xzq213PyeAbdNQZTtVdL6b4BU4knkIqP40Td72k0hxsfcddb5sdt+56F/pOQWcDesWty8RiHH0Sil2PXrvr7eg/CINa062jcePpC2y67YviMiF+6OWEKd06QVGeXh+uMpjmfB4fuuvNhbHmPO7c9TT7orvhN1CTp7cM+n13vZXtlsGUI3e9pqo6X7273qxOXfBtl65Qo2hf/iIjB2tveCMoPhlDOlphUV8XGGlyX3O0PvXmq0zsCETJSCpYi3zeLWir9ERrgz1QUaBZ16YEgTn/IiL/CnSVzDGq+WY0U+1ILZ5YKsa9LC9cTr0CRVlFzG7xDRz1HKgOsLyznmN79A3kCUswvYU7Jpk7Q0mOXsY8Ijcdy4PvIDwnDeNa2eKXjm7QU6Y4Rbi4COv8fXA99gVcmpthe/9BaKVL7wZSIijDXp8gHH8YBjM9HRyePqpWaz+FUj5yyxIq3Z5XlgkAEAgEFV6Xl5eH/EcKPo8bNw5RUVEfPVZQUBBkZWWxfft2FBQUwM3NrcbtbAx86K53ANoqvTly1xPB1Wge2msP+arc9RJKsrAl+joCc2LRq0k77LKfCWMVim5eAh42P/GBRz256+0ZOBT9WtJz1yOE4OqTaGy+4weeUISFfZ0xyaFjjQsVSom4Sr0BADERQiKR1EhzmN58Oo3DXS8PZ5LPIuiNu9637eZ8de56p2LDsCXC96t114tKz8Ka694ISUzFiE42+LmPMww0al4LjScuQG4Zv4rt+ZBKpayPwwHMXa9uIYTgVno4dsXcBk9Shu8s+2Fsc0eqtUkfZSVjRbAnYgqyMLXNa3c9LYr25RXc9Vq0wuGhI9FcS5tavAKeADvvB8DjUQSsjQ1wavY4dGpe83uGUMKrso9TIHxdqL0h6M1XldiRSHlIK9qL9MIDUJI3gaXhEWiruFOLJyUSPC+8hYDsIyCQws3oe7TTHkh1gPW0MBKnEj2QVZaNfk36YkjTgVQHWHHFmdgSfQ2Pc+PQz7gjvrfsDyNlim5e/FJseuKNc3ERsDNohv8GzEA7XXrLvPgiEQ6EPsb+kMcwUlPHgcHD0MuiJb1ZSFKCK+HPscXTH0KxBIv7u2GcfQfIy9UuKZfBj8KJ+FmVbi/MKoNYLIaKSsXfxrJly7B8+fJaxUpJSUFwcDAuXrwIRUVF2Nvb4/r16zAxoVdPoSFQ0V2vACZaP6KJ5kyq7noZ/Ch4Z+5+4643EI76Myi76+XAI+kMgvND0UGrPXV3vRKRAIfi7uNMYgAs1A2x134W7PS+Xne9b7s4YFZnO6qFCiNTM7DmujeepKRjVOd2+Kl3d+ip1y5JzpPkV6k3AJBbFo9Tp05h4MCBFV6vreYwvamc+nbXG2++G0bK9J4oC6VC3Ei/hevpN7lz10sLx+4XtyGUiLDAagBGmTpQHWA9zEjEihBPxBVy5663ytcbvkncuuudC3mK9iZNcGbuBHRoVvt7RlTBbcQW/1fp9vD8eGSF6LI+DkXqy10vKOdfyMkocuKuF1oQhtNJZ1EoKuTcXW9oMzt827ovZ+56zk3McXPQLLSm7a73OBBHwkNhrq2Df4ePhnNzuu56Z4OfYse9AMjLymLlsN4Y0aktZGVrd89I4T3BifjrlW5PTylBcXFxg9CbryKxQwhBLu8qkvPXQSwthqn2IhhpToesDL2LM40XCZ/M3cgui0MH7SHoZjANynL0bpaZgiycTjqDsIJwdNK2xU9tfoCRMs1lXnwciL2LC8lBaKXRBAcc5sBWx5xaPKFEgqMxwdj51B/qCkrY1n0ohpjZ0C1U+PIF1vr7oEAgwA9du2GmrR1V+/InyelYe8MbkamZGGvfHj/2dIKO2qcl5ZqoWGOyxcxKt6crZeJveXcUFxdXeP1jmeXq0NDQgKWlJdTUXj9ts7a2RmhoaKPu9PCEUUjIW/HGXW8ETLUXc+yutxcGyvTq2rzrrqenxK27noRIOXHX80uPx6qQu0gszufcXW9IGyss6c6tu965uRPR1uTTfqOqcjqYbHGoyn2OKg3DxIkTcfDgwQqv11ZzmN58SH246z3Ju4yg3ONQlFVFP+MlsNTsSfV+HJwfAo+ksygWl2Bo08Ho36Tv1+2u50LfXW/no4c49oQ7d73Tj55g9/1AKMrLYe2Ifhja0brWA6y3WGv3g4P+0Eq3Z+nsQq5dCfz8/Cq8zvo4nw8h0jfuehvxtbrrpfLTcDLxNJ4VPefEXS+vrAR7Yu/gakoI5+56Bhy5612Kfo4ND/w4c9d7FJ+MNdf/313vW3cHaCh/Wh+umWpHTLRYXun2KF4MjmvMRFZWVoXXv0S9afCJnVLhMyTmLUdxWTAM1Magmc6vUJQzoBavWJSNB9kHEVN0H81UO2GixX7oK9GrayOQCHA17TpuZdyBoZIBfrH8Ge212lGLJyFSXE5+jH2xnpABsNhmGIY0s4McxUKF3qlxWBlyF6mlhZhj44Bv2zpClWahwpxsrPLxQmBqMkZY2eA3JxcYqdPLmGcVl2DLHX9cCY9CF3MTXPh2EqyMP+83qiirAj0l80q3lym9/vyUlT99en5SUhKaN28Oe3t7ZGVlgRACGRkZpKamomVLekmFL5n6cNcLz7+IR7knoSSrjgFN/0RrDTeqA6ygvEc4w6G7XkR+IjZFXUNscTpGmnbFnFa9qbrrJb1x1/NMiUUvk1Y44DaKurve9qAAHI8Ih5W+Ac6MHgf7pvSmsQvFEpwKCsfuN+56G0YNwKAOn1dHQ1ZGvkq9AQB5GUXIycl9suYwvfmQ1+56Z5BSsAmADCx0V8FAfSxVd72EkkfwzdqLIlEGOuuOgb3eBOrueqcSPRBVHF1P7nrfoY0mvWVePLEQ+58HYv/zIBiranDorucPCZFy4q4XEJeItde9kZRXgGlOnTHPzQFqSp/Xh1OV14aeUuWJaFV5HeTL8lgfp44pFoQgMX8FSoXPOXHXKxSmwS9rP+JKHnDurtdM1eSrdNe7lRyDNW/c9b5v1x2zOHDXW+njhSeZ6ZjQviN9d72CImy65Ytbz2Lh0tocW8cNQovPdNdTlFOtso+jrVgCoGGMqRpsYkckyUVKwWZklXhAXdEWbZtchroSzbo2QoTmncPj3NNQldfGIJNlaKnuTHWK8MPcQJxNPg+hVIixpqPRy7AH1QFWaF48Nkddw6uSTIxp7ojZrXpCQ4Feh+5VUS5Wh9yDV1oc+pm2wbGe42Cqrk0tXj6fjy2BD3A6MgJtDQxxYcwEdDKm16ETisU4FhCGfT5B0FJRxpaxA9G/XRtqv5nP4cKFC/D19YWCggKsra3Rp08fuLm54eXLlzAwMMD//vc//Pjjj1BXV8ewYcNgY0PP1vJLhBAxMktOIaVgC2QgDwu9v2GgNpoDd719KBFno4vuykVUmwAAta5JREFUONjpjaPqrpdYmogTSafxojgWzvrdMYYDd71dMbdwO/0JZ+56e54F4FAUd+56Z549xeY37nore/TGWMruer4v4rHupg9SC4oww8kOs13tP3uARQOmN9Xz2l1vJfiiFzDSmAoT7QUcuOvtRUJpEFqqO2NYszXQUqRY10ZUggupl+CV5QNzNTP8Zb0UrTToJTzqw13vWmIU/g67jyJhGX7u4IIZlvZU3fVC0lOxwscLz7OzMKl9R/xM2V0vOa8A69+46/WwbIFdk4bCXI9eUu5zYJpTNRXc9ZQc0d74GlQVada14SM49zRC885BU6EJ5+56U80nw41jd71pLdygStG+PDo/CyvfuOsNM2+LJRy4620M8MeFqGewb2qCqxOmUHXX479x1/vHPxhGmhrYM3kY3NtYsDHVe8gQQkidHY0iAoEAKioqKOUVoVB0DqkF2yArqwJT7cXQVxtOdYAVV/IAfln7wBMXwF5vAjrrjoE8xTWYr0ricSLxFF6VxsPVwAWjm42ApgK9Dl0GvwA7Ym7ibsZTOOi1xkLrQbBQp3dxFovKsOvpAxyJeQwLDV38r0sfdG9iTi2eWCrFqadPsDUwAApysvjVyQWjrNtSraPhHfMK6276IrOoGLNc7PGNcxeo1JF9+bx582BmZoalS5dWuk9aWhpatmwJPr/y4oOMqnmrORl595HJX8+hu14SfLP2vOOuN5eyu14xLqRcgk+2L1qoWWCS2QS0VKdZbF6Ekwn+OPrKGzqK6vjJaiDcDekuu7yc8Azrw7zAE4vwUwdnTtz1VvrcR0xuDqZ07IQFXR2h9RlPeqojITcf6274wOdFPHpbt8Jv/V3qzF3v5s2bWLFiBQIDA6vcz97eHmvWrEHfvn3rJG5j463eFBTHIYu/FXm8a9BUdoaZzv+gqtiaWtwySSke555EWN5F6Cg2g6vRfOruel5ZPriYcgnysvIY3WwUnPWdKLvrxWBb9HVO3fVWBN/F4+xkjG7RHr/ZulN118soKcb6B364EhMFx2am+Mu1B6z06c1cf99db+lAtzp111NUVERycjKMjCq/761ZswapqanYs2dPncVtTPz/mKoA+cLjSCvcA3lZXZjp/AEd1f6U3fXuwz/7AERSPhz0p3LmrpfCS0Vvo7fuevSWXSaV5mBb9A34Z0fD3cgGCywHcuau11bHCMu69IEdh+56S51dqbvr3Yx8gU23/VDIF+BbdwdMdewExToqnTF27Fj06tULc+fOrXSfyMhI9OvXD6mpqXUSkyYNbsZOZPowQC4VTTS/gYnWfMjJ0rtZ5pYlwCdzN5J5YbDU7InuBrOhoUDvZlkoKsT55IvwzfFHa/VWWN72L5ir0Ss6JZCIcCLeF8de+cJAWQObOk+Bi4EV1TWYF189xfpwb4ikEvzRuRcmte5Md4pwchJW+nohPj8P020743v7btBQopcxf5Wdh79veMP/ZSL6t22NwzNGwUSbXlKOQZ+YrOkw0unFibteUM5xPMm/DF0lM4wy3YRmarbU4omlYtzP8sKl1CtQkFXErBYz4aTXjTN3vWkt3DDJ3AXKlN31VgR7IiwnFeNa2WJRR1foK9Pr0KUWF2G9vy+uxcbA2dQMNyZOQ2u9L9ddj/Hl8TRtANTVmqC1wX7oqPSh665XdBcPsg5y5q4XVRSNE4mnkS5I58xdb2v0DTzMecGJu16egIfNT3xx+mUYOuo1xaV+02CrT9tdLwR7g4Ogo6yC3QOHoH9LenU0Ptddj/Hl8TRtEGQV8jh312ur1R9OBjM5cNc7h6C8R2iraYPV7VfAhKK7Xqm4DEfivHAq4cFrd70uM9FVn7673tYIX8jJyuJvhwEY3aIDXXe9hFdY4+eD9OJizLHrgnl2Xam766294Y3ghE9z12uMNLjEjrK8GdoYH4aygjm1GAJJMQJzjiEi/z8YKLXE6OZbYaLanlo8sVSMO5l3cSX1KlTkVDCv5Rx00+1K9eZ8LzMSO6JvolDEw6xWPTHBvDsUKS7zCstJxYpgTzzNy8CEVrZY2MEVuhTty1OKCrHGzwe342Lhbm6BPQOHoIUOvYx5saAMu70CcTIwHC0NdHFs5mh0taBXqJDBHW0MD6CJTj9qx3/trncbAdmHQYgEbkbfoZ32IKoDrMjCZziZePqNu14fDGk6iDN3vb5NOuAHqwGcuet11jfBlf7T0V6PnnuQQCzCgZBg7At5BENVNewfNAy9W9B11/vvyXNsvvPaXe+3/q4Yb9+x1u56jC8PY635sDCc9xW6651FcH4I2mu1w/etvoUxV+56aobYY/8NuujRq5nyrruekqwcNjoOxgjK7nqer15ijZ8Psnml+LZLV8zu3OWLd9djfHmoK3ZAK+M/oSRPM+HBvbvezfTbuJZ+A1oKWljQ+nt00rblzl3PcgBGNefOXW+6VRf80K47NBXpJeVe5edhla8XfBITMKBVG/w7fBSaadK7Z+SX8rH93gOcC45EOxOjT3bXa4w0uMROG8O9UFag8+OVEgkiC27gYc4RyEAGPZssgI1Wf6oDrCcFT3Eq6TRyy3IxwLg/BhsPhJIcvQ5dbHE6tkRdQ0hePAY07YTv2/SDgTK9GSVZ/BKsD/PCxfhIOBg2x9UBM2CjQ29ZCU8kwv6QR9gf8hhNNTTxz9AR6GFOb5aFVEpwMewZtnr6Q0oI/hjkjtF27akPsAQSAVJ4lU8JzOBnUI3fmNBWcaN2bK7d9bIE2Tid5IFQDt31Dr68i/NJ3LnrHXsRjJ1PH0BNXhFbnYZiqDltd71Y/O3vg3wBnxN3vYiUDKy57oXI1EyM6dIeC3p9urteTZEQSZV6AwBCqYhqGxoLJlpzqSV1SsW5eJD1D6KK7nDmrnc9/SZupN+CrqIufm7zI2y16dVClBAprqWGYu+L2xBz5K7nnx6PlRy668Xm5mKl7308SE7C4DaWWNLdFU016N0zckt42Hr3AS6GRsLW1Piz3PVqQ7GoGCKeuNLthaIi6m1oDLQ02AIleTpjKgkR4Un+FQTl/Ftv7nr9mvSFIkV3vWcFydgUdRXPy931ekNHkd5KkpSSQqwNu4+bSdGcuevtevQQR5+EoaWOLk6OGANHU3qzgkUSCTweRWDX/YdQlJfDmhF9P8tdr6bwJfxqxlSZVOPXJQ0usUOLVF4EvDN3I68sAR10hqGb/lQoyVFcEy3IxKlEDzwpjICdTmf8YvkzDJToLfMqEPJw4KUnLiY9gqVmUxxymIcOOvQuzjKJGEeiH2NXZAC0FJWx03k4BjWnt8yLEIJrsTFY5++D4jIhFjl2x7SOnakWKgxNTMXaG96IzsjGhK4d8V0PR2ir0suYv0tcySv8Efm/SrfzsnmctIPxaZSIcuCffRAxRfc4d9czUDLAL21+Rnttuu56V5IfYy/H7nqrQu8ipYQbd73onGys8vXCw5RkDLe0xuLurtTd9bZ6PsDlsOd15q5XUwpFRVXqDQCk8r/8teeNldfuepfwKPcEx+5658ET8zCy2fCv0l1vTeh93El5wbm7nqWePjxGjUNXk4blrlcb/LIfwDvNt9LtEZnhcJRx4KQtjNrzvrteF70JUOTMXa8bxpiOhi5ld73dL+7geloobHXMcZyyux5fLMK+5w/L3fX+cR+DnpTd9c4/j8TGN+56f7n2wATO3PUKMc2pU52469WU6KIXVfZx8uPyOWlHXdDoEztFokz4Zx1AbLEPmqvZYUDTA9BVolfXhi/h47/Ua7id6Ykmykb4zXIR2mrRq74vlkpwKfkR9r+8C3kZOfzebgQGm3SmWkfjXupLrAm9h3ReMebZdMNcm25QoThF+FlWJlb6euFxWipGWbfFb04uMFCjtwYzo7AYm+/441pENBwsTHHx28lo00SfWryP0VK9BWa3m1Pp9oz0DFzDZe4axKgR77vrDWz6P7TScKE6wAood9crwxjTUeht2JPqACvsjbteXEkmxjTvhtmtelF114svysPqkLu4/8Zd74j7WDTXoNehy+fzsTXwAU69cdc7P2YCOlN21/v3YRj2er9219s8diAGcOyup6WgiTXtVla5T7hKCEetYdQUQgjiS4Pgm7n3q3XXyxIUYlfMbdxKD4edbgscd/oerTh11xsLt6b0Zj29ddfb8vABADQadz0Xg+7oo9u70u07jHagJKuYwxYxakK+MAV+mfsQXxqIlurdOXHXu5h6GfezvGGm2hx/Wi9Faw7d9VZ3HIc+TTpw5q73U3sXzLTi1l3vJwcn6KhQdte75Yt7Ua/d9XZPGgYzPW1q8T6GlWYbjG43ptLt0TLRmIYgDlv06TTaxI5IKkBI3lmE5J6BmrwehpisgoV6N6prMB/kBOBcygWIpGJMMB2HnkbukKO4zCs4Nw6bo64hsTQH482cMLNVD6hTmnIJAHGFuVgZ4gnf9HgMbG6F4z0noJk6vQ5dLo+HLYEP4BEZgY5Gxrg0diI6NqFXR6NMJMbRgFDs9wmCrpoqto8fjD42ragKuveTOPSw/fAmpSynjGaqJpW+V1bly7P/a8x86K43/o27Hr0p+/ElCTiRdApxJa84cdfLfOOu55nxFA56rXCy+w9ooU5vyv777nonek2g7q53OjICWwMfQE5GFmt79sFoG7p1NLxfxGPdDR9kFhXjG+cumOViX2fueh8jJjkLlqYfOiLKychVqTcAqE53Z9Se/LJk+GTtQWLpY7TWcMVIww2cuuv9z+YP6u56pxIe4MgrL+goqGGd7UT0MGrLmbveb7bumGr59bnrrb/pA++YePSybon9U4bXmbvexygo4eNFSja6Wn04e1xDQQNGqpX/XrUUNFECltj5UhBKeHiUexJheRegrWiCEabr0VzNjlq8d9315GTkMdNiGpz1u1O1L/fPisZWDt31nudlYnmwZ725612bMIW6u95B38c4EhACE21NHJg6Ai516K73PhKpFD4Rr9DzI2MqFTmVKvs4BSpsxs4XCyEEL4t94Ze1HwJJERz0p8BWZyRV+/K4klc4kXgK8aUJcDd0wyiT4dBQoGeXnMbLx46YG7if+QzdDSyxrtMkmKnRm1FSJBRgx1N/HIsJQSstfZzuPRHdjOjNehJJJDjx9Am2BQZAWV4eG/v0x3ArG6oDrLtRcdhwywe5JTzMdu2KGd3toKxA7/J5npiBDWe98TQ+HSF7fqYWh0Gf1+56e5DMC0UbzR5wNpjDibueX84DtFJvyam7nr6SBjZ2mgxXQ2tO3PWEUgl+79wLkym76z18464Xl5+H6R074fuujtDkyF2vHwfuevklfOz57wEu+j9letPAee2udwJP8i9x7K73HxRkFThx1/PJisL26BvIKSvG9BZumGTBnbve2JYd8YutG1V3vbTiIqyrJ3e95rra+Gf6SDi1pHfPEEukuOAXgb1XA6CtroLLK2ZQi8Wgy/+76x2ChAjhYjgXHXSGcuau18eoF4Y1HQJVeXrLLhNLsrE1+joCcl6gp1E77OwyE01Vmbvep0IIwbWIaGy6/dpd7+fe3THRwRaK8hRLZ8SmYNM5H8SmZuPx7p+oxfkSaFSJnWzBK/hm7UYK7wmsNHuju8EsqCvQS3gUCAtwNvkCHuQGwFKjDVa2W4bmqvSckvhiIf6N98HxeD80UdbGVrtp6G5gSS2eRCrFuVcR2BTuAwmRYlmXPhjfypbqAMsvKQGrfb2RWFCAGZ064zv7blBXpJeUi83Mwdob3gh8lYxB7S3xSz8XNNGil5TLLSrFrisP8N/DZ+jYoimOL55ILRaDLu+66+krteDEXc8z8x6upF2Fsqwy5raYhW56Dpy5633TsgcmmHeHEsUBVn24663188GtuFi4mVlg91fmrieSSHDeJwL7rj2EkoIcVkyl5/7GoMv77nquRvPRXnswfXe9JA9kCbI4cdd7VZKJLVHX8Sj3Jfoad8APbfrDSEWbWrwcQSk2hvvgXNwTztz1DoYGY28wd+56V8KfY4snd+56j2OSsfGcNxLS8zChZyfMGsjq5DRU3rrrZQpi0E57EJwou+vlvHHXe/zGXe+7VvPQVIXe9VjBXU/dEHvtZ8FOj94sxA/d9QZhhEV76u56a/18kMWRu96z1EysueGF8OR0jOzcDj/1doK+OsXSGXnF2H7JD7eDY9DNujnO/DmFWqwvhXpL7MTHx6Njx464c+cOunXrRjUWX1KIwOxjeFpwDQbKrTDWbAeMVejVtRFJRbiTeRf/pV6Fmrwavms1D/Y6XagOsDwzIrAj5hZKRQLMa90H48wcoUCxjkZIdgpWBHvieX4mJrXujJ87uEBbiWJhtMICrPHzhuerOPS2aIn9g4fBXJtexryQL8Du+w9x6tETtDEywIlZY2FnVvVShM9BJJbgjHc4DlwPhKqyIlZPH4D+9twVKjx79iwePXoEHo+H8ePHw9XVtXybRCLB/PnzYWJigsTERPTs2ROTJk3ipF11CVeaIyUSPCu4iYCcw5y560UUPMWpJA/klOWgv3E/DDEe9NW663U1NKXurscXibAv5BEOhATDWEODM3e9bZ4PIJZK8fsgd4yh7K4XFJWIjee8kZxdiEk9O+GbAQ5QU+aujsbXrjlc9nHSeM/gk7Ub2YKXaK89BI4cuuvZanfET62/58xdr6W6EfZ3nY1OuvSKzQslEvz7IgQ7nvpDVV6BE3e9W3GxWOv32l3ve/tu+KbT1+Wul5ZbhG0XfXE3NBbd25pjw6xBMG9CL0n+Pkxv6o533fWaqrTHRPO9MFCmV9emorueDn5u/SM6atOrayN94663px7c9RKK8zDTqiu+58Bdb5WvF/yTE79Kdz2BUIzjd4Nx5NZj6GupYcu8oXDr0KJRjKnqJbEjlUqxYcMGtG3blm4cIsHTgqt4mH0MsjJy6NVkIWy0+kKG4hTh8IInOJ10BnnCfAxqOgADm/SnOsCKKUrD5qhrCM9PwBATO3zbpi/0lejNKEnnFWF9mBeuJDyHk5EZrg/8BpbaFNdgCoXYExyEf0JDYKqlhaPDRsHVzJxaPIlUivMhkdh29wFkIIP/DemFUZ3bUi1U+CAyHpvP+yAttwiTe9vhm/5doaLEXb2KoqIirFu3DiEhIRAIBLC3t0dERARk35yzl5cXMjMzsX//fhQUFMDKyqrBdXq40pz6cNc7nXQG4QVPYKfTGQvb/ARDZbruevtjPXEpmUt3vWDsinxQL+56P3dzwnRbuu56YUlpWHPdC9EZ2Rhn3wE/9HSi6q6Xkl2ALRd84f0kDq7tW2DLvKFobkgvSf4xvnbN4UpvKrrr2WKi+T7oK9NLQFZ019PnzF1vX6wnAOA3m6EY2qwLZ+56s6wdML+tI9QUuHHXG2ZpjcXdXdBEnV4f7l13PTszE5z/diKsjT+sq1VX8IUiHL39GP96BsNQWwPb5g+Da3t6v9GPwfSmbvjQXe8PtNZwp3o/fpT3GB7J58ATl2JEs2Hoa9QbChTrub1113tRlIZRzR04ddfradIK+11HwUKTXsKzqEyAbUEPcfxJGNpw4K4nkkhwMugJdt9/CFVFBawf1R+DO9Dtw90Pf4mtF3yRX8LHrIEOmNSrM5Qols54n/rWm3pJ7GzduhVz587FTz/9RC1GcmkYfLJ2I78sBba6I9BVbzKU5Ciuiean41SSB54WRqKrrj1+s1oEfSV6y7zyhSXY98ITl1OC0VarGY50+xZttelN2S+TiHEwKgh7Ih9CT1kVe11Gop8pPWcWQgiuxERh/QM/lIqE+LW7C6Z2sIUCxQHW44QU/H3dGy+ycjDRwRbf9egGLRV6A6ykrHxsOucD/8h49OjYEju+G45mBtrU4lVGUFAQLC1fzw5SUVGBmpoa4uLi0Lp1awCAvr4+cnNzAQDZ2dno2LEj5238XGhrTuNy15P96t31Rtu0xa+OdN31MotKsPm2H65GRKNbC1NcnD8ZbYzo3TN4AiH+ufUIJ+6FwkRPE7t+GAEnG3Nq8aria9cc2nrz2l3vPIJzT0FZTotTd72yenLXm9WqFzRpu+uF3sP91Jfo24xbdz0bA0OcGzMedsb0ZgVz7a5HCMGd4BfYdskXxbwyzB3siIk9OkGRwwHWW5jefB6EEMSXBMI3ax9KxNmw0x2HLpy7642EtqI2tXjvu+ud6P4DB+56D3EoKgjN1LU4cdc7+zwSmwP8QUCwwr0XxrVtT/WhtX9sAv6+4YPk/ELM7E7fXS82NQebznnjcUwyBna1wo8jXGCoTe/BamXUt95wrrDh4eEAAFtb2yr3E4vFEIvF5X8LBIIaHb9ImAG/7P14WewHc7WuGGSyHDqK9LKRPDEPl1P/w92s+2iqbIylVr/BSpNeXRuxVILzSYE48PIelOQU8L/2ozCgqS3VAdadlBdYE3ofOfxSfNvWEbOtu1JdgxmRmYFVvl4ITU/D2LbtscjRGfqq9DLmaQVF2HTbDzcjX8CpZXNc/m4KWhlSLFTIL8Ohm0E4dT8MZoY62PvjSDhY1y4JwBOXIa44s9LtmSXZAD68buTl5SH/3vTunJwcqKv/v/hpaGggJyenXIRsbW3h4OCAefPmITY2Ft99912t2lrf0NQcsbQMwXln3rjr6WKIyUpYqDtSnSIckPMQZ1MuQCwVYULzcehpSN9db0vUdSSUZr9212vZA+oKdN31VoXchU/6q6/aXe+A7yNoq6pw4q5341E0dlzyA79MhB+GO2Oce8daJcnFRFKl3gCvXYokEkmj1xyaekMIwauSAPhl7UOpOJ9Dd73TiCuJg6uBM0Y3G/nVuevtjgzA4ehHsNDQxfGe4+FsTG+Zl1gqxamnT7AtKIBTd731N32QUciNu150chY2nvVG2MtUDOlmg++Hd4eBVu0GWPllpSipQnPyykoglUqZ3lAeU9WHu97FlEvw5tBd73TCAxx55Q1tBVVO3PWuJDzD+jBvlIqF+NXWHVPb2FGdFfwoNQWrfL0QnZONKR1sscDBiaq7XmJuAdbf9IFXzCv0sm6JfVOGUXXXKywVYO/VAJz3jYClqQGO/DIOHVvWrth0qajqMVVyaQ6AhjGm4jyxc/36dQDAunXrkJSUhOPHj0MkEsHFxaXCfqtXr8aKFStqfFyRlI/gXA+E5J2FhrwhhjZbAwt1ekXZpEQK32x/nE+5CCmRYlLzCXA3dKU6wArMicXWqGtI4eVhgnl3zGjZA2ryFNdgFuZgRbAnHmQkYKiZDRZ36oGmavQ6dNm8UmwK8Mf555HobNwUl8dPRntDimswRWL84/cYh/yDYaCuhl0Th6KnFb01mFIpwbWg59h12R9lIgl+HumK0W4dPmkWUmRBMiY82F7pdmFuMcRiMVRUKj7hXLZsGZYvX17hNX19fZSUlJT/XVxcDH39/585cOHCBeTk5ODo0aMoLCxE69at0a9fP6hRnM1Ql9DQnNfuen7wy9oHgaQIXfUnoZPO6K/OXW97zA14ZT6Dk34b/N1pIgfueg9wLCYYLbX0OHPX2x4UACU5btz17kXFYcMtX2SXlGK2iz1mOnfhzF1vmGM7fDfMCXqatb9u88pKqtQbAIgrycSpU6cwcODACq83Ns2h1cfJLUuET+bu1+56Gj3gbMidu15L9ZZY1vZPWKiZU4tXX+56G8K9USaVYGmnnpjSxu6rc9dbd9MHfrEJ6N+2Nf6Zzp27XluzJjj223i0t/i0JPm11BCcfR5W6fa0xAAYP+c1+j4OLb15111PR6k5R+563riUeuWrddd7+sZdLzQnFWNadsQvHd1goELZXe+BL669iEF30+a4PnEq2ujR68OVlgmx1zsI/z4M5cxd76L/U+y9GgA5WVn8Oak3hjq2haxs7e8Zofmv4FFFH4eXkI3i4uIGoTecJ3b++OOP8v/funULU6ZM+Wihrz///BNLliwp/1sgEEBH58NpsYQQvCj2gn/WQQilpXDUnwFb3RGQk6F3cb4ojsWJxNNI5iWjl1EPDDcZCnV5etO9Uni52BZ9A75ZUXA1tMamzlNhqkZvRklhGR/bnvrj+IsQWOsY4VyfKehiSG/Wk1AiwbEnodgZFAh1RUVs6TcQQ9vQXYN551ks1t/yRSFfgPnuDpjm1BmKFAsVPo1Px8az3niemImRzu3x7VAn6Kh/+rTydtqm2NT920q3Z6ZnoJf8IRQXF1d4/f3MMgA4ODhg8eLFIIRAIBCgtLQULVq0QHJyMkxNTZGWlgZDw9dr8DU0NKCgwF39n7qgrjUnR/AKPhy7651LuQD/HO7c9Y7F++BEvB+MlLWwpfNUOBtaUYsnJQTn4iKw8Yk3JNLG4a63qJ8LjCm76+2+EoArDyPRwcIYxxdPhI3ZpyfJdZXUcbr7gir3GaF+AxMnTsTBgwcrvN7YNKeu9UYgKUZQzr94kn8F+koWnLrrKckqYU6LWXCk7K53/427XoGIh1mtemKCeXco0lzm1Qjc9fZ4BeJEPbrrDexq/UkDrLcMNrHDiHaulW7fE0BQqpIPPz+/Cq8zvfncMZUUzwpvIyD7H87c9Z4VPseJpNP1467XpAN+sGTuep+DVErw35MobL7jB6FYgl/7uWJ81097aF1Tgl8kY+NZb8Sn52F8D1vMHtQNGiqfniTvrNMCK7qPq3T7C50ozNK4gaysrAqvf4l6U2+uWAcOHEBiYiKOHj0KXV1dtGnTpsL2j01vep8sQSx8MncjjR8JG61+cDL4Bmry9G6WecI8nE0+j4e5QbDRtMKqdsvQTJXmMq8yHH3ljZPx/jBR1cWOLjPQTb81tXgSqRQeL8OxJcIXALCqa3+MbdGB6hpM74R4rPL1QmpxEeZ0tse8Ll2hSvGmGpORjbU3vPEoPgVDO1pjUV9nGGrSS8plF5Zg5yV/XAuKQufWJji5dCIsTT+/UKGqvBJaalQ+UFMplgAAlGsw3VJTUxNLlizBwoULwePxsHv3bsTHx2PSpEkICgrC1KlTMW/ePKxcuRKZmZn466+/GsSTrPf5XM2pT3c9VXk1zG85D111uXPXm9u6N8abOXHirvcsPxOTv3Z3PUN9HP9mDLqYUyxUKJbAwzscB+vYXU9eRq5KvQEAJTkFyMnJMc15w+fqzVt3vYc5RwCAe3e9Jv0wuOlAKMvRm7L/sjgDm6OuISTvFQY0tcX3bfpTd9fbEO6NC6+evnbX6z8DNrr0ZgXzRCLsf8dd79CQEehp8XW66yVlFWBSr86YVUfuejpKajCqQnN0ldTBly1kevOGuhhT1Yu7XvIZhOaHNQp3vS1OQzDMnO4yr/py13uamoGxXdrjx15O0FWjWDrjHXc9JxtzrJs1CBZ14K6nplD1mIqv9rq8RUPQGxlCCKmzo1FEIBBARUUFfD4fUnkBHuYcQWTBDTRRtoKb0XdookLvibJQKsKtjNu4mnYdmvKamNB8LOx0OtO9ONPDsSvmNniSMsxu1QtjmztStdoLykzCihBPxBbkYKqlHRa0d4amIr0OXXxBPlb7esMr4RX6tWyN353dYKpFr45GPo+PHfcCcPbxU9g0NcTvA93RqXnt1mDWBqFIjFNeYTh0Iwiaqsr4aZQL+nSum0KF8+bNg5mZGZYuXVrpPmlpaWjZsiX4fP5nx2usvNWcUl4JYgV3EZh9FDIycuhu8A1stPpx5q430Lg/BhkP4Mxdb7BJZ8xv04+qu14GrxjrwrxwJeEZnIzM8Jddb1jp0HNmed9d7y/XHpy66/3U2wmj7Npx5q43pbcdZvSzh2odDLBu3ryJFStWIDAwsMr97O3tsWbNGvTt2/ezYzZG3u3j5EpfwCdzN3LK4tFRZzgn7nqnEj3wpDACnXU6YYLpOOruegdeeuJi0iO00WyKX6wHo4MOvSn777vrLe3UA4PM6C3zet9d7/uu3Thz14tKz8b4rh3wfU9H6KjSS5KnZBdg6wVfeD2Jg0t7Cywa7VZn7nqKiopITk6GkVHlA601a9YgNTUVe/bsqZOYjY139UYsV1LBXc/NcD51d71raTdwK+M29JX0MbH5eHTQpjcLUUKk+C8lGHtf3AEAfNumL3V3PZ+0OKwMeeuu1xXz2zpx5q433NIav1F218suLsVWT39ceuOu98cgd07d9RaNcYNLO4s60fCxY8eiV69emDt3bqX7REZGol+/fkhNTf3seLSptxk7n0p43mWElZyGgqwy+hr/BivNXlQHWCH5YfBIPoNCUREGGw/EAON+UKRYR+N5YQo2R11DZEEyhjazw7et+0JXiV6HLrW0EOvCvHAtMQouxhbYMWgYWmnRW1ZSXFaG3Y8DcSQ8FBbaOjg+YjS6m9Jdg3kmOAI77wVAQU4Oq4b3wXBbm8+aIlwVhBD4RcZj8zkfZBUUY1pfe0zr24VqoUIGXTwSv0cp0mCrOxJd9SZRHWCl8zNwMuk0nhZGwl63C+fuekcd58NGi96MkjKJGIeiHmHPswDoKnHlrheN9Q98USoS4rfuLphC2V0vOCEFazl219t83gd+T+PRw7ZVvbnrMeqG26l/I0H0AM1V7TDJ4iD0vjJ3vcspr+3LuXLXu5/6EqvfuOvNtXHAPBtHqu56z7OzsMLnPh6npWKUdVv85sSBu94dP1x9Eg2H/2PvLKOjyLYGurFACBLcNbiFECOKu7u7jjPyhtHH4O4S3N3diTsRQgIRiLu7d3d9P8K8j5EwSG5lgN5rZa2Zru7c26T7VN1T557dogmXPp1Km/pi7XoH7zzk+H1PGtauzvbPR2HWsbmw8dSIxSP5NI+zzstm13NJduNM5DnyVfmMlcmutyngBs8z4xjb1Jh5rfoKteuFZaawwvMBD2Sy66Xl5bLZ1ZkTvj50qFOX8+Mm0a2BwJvWCiXHXIvselUrashi17vnFcSWCw5k5OSVql3vfeG9+5dxSTqIUf3xGNaajEY5gXuic6I5GXGaJxlP6V7TmAlNx1JTQ9w2r+T8THYF3eV6tBddtJty2ORT2lcXp77MVRSy96kru5+6UlezCnt7jKVvI3FmFpUkcdH/CeudHclXKvjJogdTOovto+EWEsmqm7aEJqUwrbsen/Q0pkolgfaQuBQ2nLPF5Wk4fbu1xuqrMTSsJa6MVY08VClXh1FNl1GjorgeBdmKHK68ZNf7od1/aF9NXBWiQqXkQoQbe5/fp2K5CizpPJaBDXWFLrDuRT1jpdcDEj9Qu15seibrb9uXil2vaV1trL4ag3G7psLGUyMPCfnPGNpkKS2rmMpi1ytUFTKpyQR615PHrheancDEZqbM0ektm11vUNN2HOs9kcZVtIWNl5Kbw0aXD9uud+thAFsvFtn1Pn8Lu56afx8eyacxaTgVfRntehZ1zBkng11ve+Bt7sY9xqhWK46bfvGP24nfhazCfHa8sOs1l8mud8rvMZtdnShXpoxwux6AbWAIa17Y9Wa/sOtVFnjTOjAygfXnbPF69vZ2vY+R9y6xM6m5FfWr6Qj7/dmKbC5FX+FBvA1NKjfmp/aLaVu1zT+/8C0pVCk4E+7CgefWaJWvyNIu4xjQQFes+jYigFVe1qQV5PJFJzPmtDeiYjlxH4VHcbEstbPGNyGeiZ268E13U2pqiltgRaems+62PXefPseidXO2TBhCizoCGxXm5rP3hitnbB7RokFN9n49FoM24pIAauRleJNlVKooZgFSGnY996TnbAy4TlR2stquVwLkFSo46OjBPoeH751dT82/j0nNd1OlsrjvR2nY9bYF3sT6d7te10k0qyJum9ef7Xon+0zGpL5Yu96JF/ryD9euF8/6szY8fke7npp/H1Na7KVOVXE3BErDrnci1IHDIXbUrliVdXpT6SHYrncp1Je13v9v15vaphsVBLbOcI2KZKmdNcGpKczQ1eMLwXa90MQUVr+w6/Xv0IoDM0bTqIbA1hkv7HqXHP3o0KzeO9n1Pkbeu8SOtoaYKhaVpMI20Z4LUZcoA8xoPhXLOhbC7mADOCcGssn/BnF5aUxtYcGMFj3QLC9um5d/agLLPO/hGh/BqBadWNy1J/Uqi7ugS8jOYp2TAxcDnmLUsDHXJk6lfR1xezBzCgo54PCQA44e1K9eld3TRtKjjbiMuVKl4qrzE3ZccUIlSfxnfE9GmYttVPg72YoCgtISiz0en54sfA5q3o1nmc85Fn6SyJxIetftyajGI4Ta9aJzUtgScBO7hKdY1GnHBr1pstn12mnX5Wy/qRjWFZfwLFAqOerjzTZ3F6pUkMeud+/pc9betictJ1cWu55fWBzrztiUmF3vdVGoVK+MNwB5SoXweXwMlBe01fvPdr2lHf9LMy1xC7pcRQFHX9j16n6gdj3HiHCW29vIZtd7npDM6pu2OAdHMLhzW74TbNdLychhxxWnErPrvQnJedmkvyLmJOVmyzKPD52qFcRckytUCu7HP+DyC7vegpZz6S7YrmcT/4StATdJK8xhjk4vJjU3o6JAffmjpBiWetzDJzmGSa30+EbXkloC7XrRGRmscrTj1vMgejRrzo5BQ9GpKe4a7mW7XovaNTg8ayzGLcXa9S7YP8bqWpFdb8m0fgwxFtc642WyCvNfeY0TlpEifA4lxXuX2BFBQEYgJyJOEZ0bQ5+6vRnZaDha5cV9OSOyk9gccAOnxEB61uvAVoOZNKosrqIkNT+HTT72nHz+iE416nGh/zS61RHYR0Oh4NAjL3Y+dKVaxUpsHziUwa3F7sG86RvEhjv2ZOYX8EUfU6Z110OjvLiM+aPgaNadseVZdCJjLLrwyTBTqmuJKyv/y/hJMZy4sb/Y44rUDNnmoubNSClI5WzkuVKx6zWsXIOt+jMxqSOuClGpUnEm2IcNPnaUQT673goHG6IyMpjXzYCF+kZoCVxgBcUlsfKmDe6hUQzTbcd3/S2E2/V2XHbimutT9FqVnF3vdUnKy2bAK+INQMw/JH7UlA6ladfLKsxlvsx2vSmt9fimi6Vwu94qBzvuhjynd/OW7B46ghYfmF3vjO0j9t5wRbNiBZbPHMggQ3FJ8r/jQogvB2OeFns8LciDSbVbyTYfNa/P73a9xPwkBpWCXe+zNgOoW0lcRcnLdj3DOk24Pmi2ULtebmEhu1/Y9epXqcK+YSPp3VxsVfAl7ydsfmHX+3FwT8YbyGfXm9xbj7mDjKnyDvryNx4/PoIdr7jGKYiMk20u78pHndhJzk/hTORZ3FIe0qlaRxZ2mk8jTXFNp7IUeRwMtuF0mDNNtWqxw2A2RgJPTAqVipPPvNn02J4KZcuxxngwY1p2FloibB0Wwgp7W+Kysligb8gCfUM0BerLn8YksOqmLZ7h0Yzu1pFFfc2oU1Vgo8LUTLZdcuTWwwAM2zbh1E9TadVIXKNChVL1t8G0a+2GbBoyt/h5xsbRny3C5qXmzfmzXe+LVp8Kt+vdifVhe+BtcpT5fNZ2gHC7nntCJEs97hGYlsD0NkV2veoCF1ihaamstLfFOiyE/jqtODh8NE2rawsbLy0nj+3Wzpx2f0yHhnU5OW+CrHa91XMG019fbJL873537UpanHxFvAEYs/GskDmpeTtKw64XlBHDhhd2vSENu/FZm/7UFqgv/7Nd7+bgObTVFrfNK7ugACsPd/Z7e9C4WjUODR9Nj+Ziq4IvePqx5b4zAP8d2lu8Xe9JGBvP2RKTnMHUvvrMLiG7XnEUd40zpmVnJuiZFvs6K/9M8lPShM1LzZsTnxfPyYgzPErzoVsNPb5u8xX1Kom7AZFekMPe5/e5EOFGm2oN2W+8QKhdr0Cp5FDgQ7b7Ftn1tpuNEG7Xu/EskNWO9mTk57GouwkzdbsJ1Zd7R8Sw6qYtT2MSmGjUhS96m6JdWVxS7s92vU0Lh5eYXe/vKC7eGNdryoohk4p9XdBTfxZsPy9sXiXJR5nYKVAVcDP2Njdib1G9QnW+av0Fetri+tqoJBU3Yx6xM+gOBcpCvmo3iDFNjIUusFziwlnqeY/g9GRmtTPki85mVK0g7oIuOCWZFQ622IWHMbhVG46PGkejauIu6FKyc4r05R6+dGncgLMLJtG5cX1h4+UXKjh+34uDd9ypUUWT9fOH0rur2EaF9xz82XPCgQt7/qrg0yqvQZtXXMBWySkUMi81b44kSXileXMqQj67nn96NBv9r+FbCnY98/rNuTVkLq0F2vWyCgrY8dCVQ96etNCuwdGRYzFvKoddz4XyZcuybERfRul1FG7X23TejvjUTKb3M2DmAEOhdr1noQlsPWjNjuUT/3KsfNmyr4w3AJUE9mlT82bE5MZyMuK0bHa9tIJsrJ7d43LkQzpUb8TB7p/QSVtcyf7Ldr0aFSuzy2IUA5u0FXo+vhoUwFpHe7IKC/jOxJzpunpC9eUeYVGsumlHUHyi/HY9XR3hdr2MzFz2n3bieXgiu1b8dUFVq5IW9V4Rc2prahFNmrD5qXl9cpW5XIu5wZ24e9StVFd2u96PnUYxTKBdD8A6+jnLPe/LZtfzT0xgqZ0N7jFRjGnfkf+YmlNXS9w1XEJGFhtktOvl5hdy8LY7x+570qBmNbZ/NhKzTgKT5EoVN6z9OHzehYt/s6aqUqHiK69xCqrFC5tbSfNRXYlJksTDVA9OR5wlS5HN8IZDGVC/PxplxX05/dIi2eh/Df/0aEY0MeST1v3Q1hBXURKVlcZKL2tuRwbSs2FLdlqMQqeauD2YGfn5bHd34YiPNzo1anJy9Hi6Nxa7B/OUuw87rV3RKF+OVaMGMFy3vdAFlq1PMJsv2JOUns2sgYZM62tAJQ1xX52A4Di2HrDGLyiGIb07CxtHjXiic2M4EX6KJxlPMa5pxIQm46hVUdy2y5T8LHY9u8u1KE86azcRbtfLUxSy198Nqycu1NWswh7LMfRr3Fpso8KAp6xzciBfqeBH8x5M6SzWzPK7XS8kMYVpJkV2vaqC7Xobz9nh/DSMvt1as+vL0TSsJa6sPC0jh32nnLh2/zFtdeTpn6FGDDmKHK7EXONe/AMayGzX0yhXgV87j2Fww66y2PUScrP4pKMJ89sbC7Xr+SbEs8zOGq/YGMZ16MS3pubUqSzuGu5lu56JTlMufTqV1vXELbCy8wrYf8uNEw+8aFpXm11fjqZ7e7FJ8qv3fNh/yoly5cqyYLKFsLHUiOXPdr0JTcbSu24vofpyz+QQNvpfJzQ7gQnNTJkr2q6XkcwKz/vYxoQwsElb2ex6Z5740qluPS6On0xXwXa9I85e7JHZrrftkiM5eQV8NsKMiT27UkFg6wwf/yi2HrAmODyRUQP1hI3zb+GjSexE5ERyIvwUAZmBmNYyYXyTMdTQEFfulZSXwY6gO9yM8UavRnOOmn5Om2rivpw5igJ2P3Flr78bDSpX5WDPcfRqJG6bl1Kl4vxTPza4OKKUJP5r2YuJnboIbVTo9Dyc1TdtiUhJZ4apHgt7GKNVUVzVQ0hsMuvP2uIWEMEAg7Z8NcqC+jUFNipMy2bvSUduWPvSqU1D9q2dSjsdcVVIasTxsl2vceVGstj1zoa7sj/4AVrl5LHr3YoMZJWXNan5OXzZ2ZzZ7Qxltet9bWxKLYH68tKw6+274cppmex6CoWSS3d8OHDGiYoVyvPjZwMZYCnuLqsacagkFQ5JTpyPvIhSUjKl6UR61u3xwdn1lnncwzEujGHN2vODXm+hdr2knBw2ODtwrhTserWrVGb7pGH0aa8jtI/GTXd/tl1ykM2u5+UXwdaDNoRFJTN2sB6zxplSRUu+PhpqSo7grBBOhJ8iJDuUnnUsGd14FNUE2vVic1PZGnAL63g/TGq3YVXXiTSvIm6bV2nb9db2HcAowXY964AQ1t6yk82u5x8Rz/qztviExMhi14tPymDXUXseOAVg0KUZhzbOoGVTcUnyfwsffGInqzCLi9GXsU6wpblWM35t/yOtqopLeBSoFJwOc+ZgsDVVK2iyUncifet3FrrAuh7uz2pvazIL8vmmiyUz2xqILRGOiWaZnTX+SYlM6azLou6maFcS2KgwJY11t+x5EBBMr7Yt2TllBM1qaQsbLyM7jz03XDhr50OrhrXZ/804urUW2KiwUMn5W14cPueCZiUNfv1qCP3M5W1UePbsWdzd3cnJyWHixIlYWlr+4fjWrVtJSUkhJiaGr7/+mg4d1AvAv0MlqbB7YdcDmN58Kj0E2/VcEoPYFHCd2Nw0pjQ3Z0bLHlQWuMAKSE1gmed9XOLDZbPrrXd25IL/E4waNubqxKl0EGjXyy0oZP9Ldj2rqSPo2balsPFUKomrrk/YcdkJpUoli13voU84Ww9aExWXyvih+swca0JlTXFJ8r9DHXNKhmeZzzkefpLwnAh61+3F6A/QrrfV15GjQZ601a7LmX5TMZLJrqdVQYON/Qczoq18dr2FPYyZadqNigIXWL/b9Z6ExzHavDOfDjOlRlVxSfK4hHR2HrXDxiUIY73mLPtmKM0ai/vM/B3qeFMypBWkv7DrOdGmamvhdr08ZQFHQ+w5FmpP3UrV2dhtOuZ1xG27/LNd778GfZnUSk+4XW+FvQ2haanM0tPncxnteoM6teG7ARY01BbYOiMjh51Xnbjs7EfnFg04tngSHZoJbJ2RX8ipqx4cv+RGjeparPp+BBZG4qqQ/o7SjDdvfObIy8ujUiX57D9vi1JSYpNgx8WoS5QrU57ZLWZgXttMaImwY2IAWwJukpCXzrQWlkxvaUmlcuK+nE9S4ljqcZ+HiZGMbdmZ77v2pI6muAu6uKxM1jo5cCXQH5PGTbk2aRrtagtsVJhfwF57dw45edGkRnX2Th+FRevmwsZTqlRccvJj1xUnKFOGHyb2ZqSZ2EaFLl4hbD9kS1xiOhOHGzJ1lJHsC6yMjAzWrFmDp6cneXl5GBoa8vjxY8q+eN/BwcHcuHGDu3fvEh4ezowZM7C1tZVlbu9LvAEIzAziePhJonKi6VOvF6MajUCrvLi7ES/b9XrU7cAWfTnseg6cfO4tm13vsI8XO9xL067XVai+3Cc4hnVnbQiMTGSsZRcWDjVBW6C+PDoujR2HbXF4+BxT/ZasXjySJg3FVa4Wx7815rxP8abIrncel2RX2ldtx/JOv9FEuF3PjhOhDjSqXFM2u95GHzsAlhkOYIKOrtDzsV1YKMtf2PXm6hnwiYF4u96qm7a4hUYyTLcd3/a3oJ6Mdr2TP04RatfLyy/kxCV3Tlx5SN2aVVj74yhM9cXZfIrj3xpv4P2JOQqVgrvx97kSfY3K5TX5VGcBRjUNhZ6P78f5si3wFpmFucxr1ZeJzU3RkMmuN7mVHt/oWlCjoriEZ2R6OisdbbkbXGTXs1Lb9d4JSZKwd3vGjiO2pGXkMn1MdyYMM6CiwNYZf0dpx5vXfrd79+5l9+7dhIaG/m+i06dPZ9KkSWhpiVu8vA3+GQEcDz9FbF4s/er1YUTDYVQWqC8Pz0pkU8ANXJKC6FO/EzsMZ9NAU9yXMzkvh40+dpx+/oiutRtyeeAMdGuJM7PkKxTs9/bEysONmpqa7Bo8nAE6YvdgXn8cwIY7DuQUFPJNf3OmGIvto+H1LIr1Z215HpPEhJ5dWTCkO1UFdoKPjEll+2EbnD1DsDRuzfqfR9OovvZrvz67oICg5KRij8enpABFFw0vU758ecr/aaHq5uZG27ZFd0A0NTXR0tIiODiY1q1bA2BtbY2+vj4AzZo1IyAggIKCAjQEXvC+T/HmZbtex2odWNF5qVC7XrYin4PBNpwKcyqy6xnOxqiWWLveqefebPKxp1zZsqw2HsTYll2ElQgDWIeGsNzeRja7nn9sAitvFNn1Rul14Ot+5kLteglpWWy95MAt9wAM2jTh1M9TaS3QrpeTW8Cxi26cueZB/TrV2fDLGLrrvX6jQoVK9cp4A5CnUKBUKt/LmPM+xZsCVSF34u5yLeYGVctX4fNWn2BQQ19t13sHwtJSWfG7Xa+lPHa9bQ+cOfPwMe0b1BFu1ytUKDlp7c2+m66y2fWsnQPZedSOzKw85kwwZdyQbmi8QRVSck4O6a+IOUk52ahUqvcy3sD7FXMepflwMvwMKQUpstn1Nvpfxzs1jKGNuvFpmwHUriiuKjj+hV3vctgTutdryvVBs2lfQ1zCM6ewECsPN/Z5ffh2vejkDKbJYNcLDk9k2yEbPH0j6G/Znk+mWlKn1ut/ZrL+YU0VlpYKvB9rqteOsoWFhXh5eQEQHh7O999/z4MHD1i+fDkbNmxg3LhxJTKhdyExP4nTEWfxSPWkS/XOfN7qExpoiiv3yirMY9/zB5yNcKFFlbpYGc5Fv5a4kv1ClZLjQV5s8XWkUrnybDAZysgWnYTuwbwX8pxVDnYk5GTziYER87oZCG1U+CQ6npU3bXgUGcuYbp1Y1NeMWlUElginZLLloj13PYPo3r4pZ36ZRssG4kqEc3ILOHzehbPXPWlcvwab/zsOQ90337f7KC6WkyeOFHtckZ6OQqFAU/OPF8NLlizht99++8NjSUlJVKny/3cJq1atSlJS0v+C0J+PV6lSheTkZBo0ENcz6n2INy/b9bQraH/wdr2Z7Qz4opMZ1TQENipMSWaFgx124aGy2PVSs3PZ+sCJsx6+dG5Un9PzJ6LbRGyjwt/tetpamqyfN5TeeuLteruO2ZObV8D8yRaMGaRHhQpv9plJyslm4CviDUB0chInT55k8ODBf3j8fYg570O8+X+73lnSC9Nlt+sNa6zPp4LtejHZGazxtuZauD9mH6hd76yHL9seOFOubBnhdj0AB98QNpaCXe/R0ygG9ezIgqkW1K7x5p+ZC/5POPQ8sNjjaT7e6MQnqa9xBBKTG8upiDM8TvfFsIY+/2n3DXVksOtdiXxIe5nsegf83dn5xBltDU12Woxi0Adm1/MMj2blDdsiu56RLp/1NhFs10tj03k77H1D6CmTXe/AGWcu33lEqxZ1sVo5ic7t3lwY4hYVyc5XXOMUxMSSmZn5XsSb107sZGdnk5aWhra2Ns2aNaNbt24sXryY5ORkVqxYQU5ODjNmzCiRSb0p+cp8bsTe4mbsLWpq1OLr1l/StYausPFUkopr0V7sCrqDUlLxbfuhjGxsKHSB5RAbynLP+4RnpjK7nSGfdTKlikB9+bPkZJbZW+MUGcHQNm35wcyShlXFLbCSs3LYfN+Ji15+dG3SgHMLJtOxkcBGhQUKjt7z4PCdh9SursWmhcPp0UVcibBKJXHH7gm7jzuQX6jgs+k9GTVAl/Jv2Qm+a/0GbJpS/PctPjaO/qvWk5mZ+YfH/5xZBqhduzZZWVn/+//MzExq1679h+MhISH/+/+srCxq1RK7P/7fHG8kScIj1ZPTEWfJVGQxouEwBtTvRwWBdr0naZFs9L/O0/SoD96u16pmLVnseqfdH7PD2qVU7HozBxgyvZ98dr2hfTozb5I5NbXf7jNTu7IWJ18RbwDGHDrO5MmT2bdv3x8efx9izr853kDp2/UOmXxCh+riSvZftuvVKQW73k8WPZjcSWxVsHtoJCtvFNn1pnbvyqe9ugu164XFpbDxvB1OT8Loo9dKFrve/lNOXH1h19uzegod27z9QmVM+45MMO5e7HGr+GRyk1NwcHD4w+PvQ7yBf3fMKW273i8fuF1vbIdOfCeDXW/DHQdu+gbKZtc7cMuNE9beNK5dXbhdT6lUcfXeY/afdqJs2TL8Z0F/Bvfu9NbXcMaNm7Bi8qRijwf5+7Pg2CkSEhL+8Pi/Md689lXlvHnzmDp1Ks2aNWPWrFn/O+HWqlWLzZs3s3Xr1hKb1OsiSRJuKe6ciTxHjiKX0Y1H0b9eX6Gqvcep4Wzwv86zzFhGNzFifqu+VNcQV1ESkZnKCq8H3It6Rp9GrdjbYwzNq4q7oEvPy2OrmzPHHj+iba3anB4zAaNG4i7oChRKTro9YqeNK1oVNVg3ZhBDuojNmFt7P2fTBXvSsnOZO9iYKX3ENip8+iyWLQesCQiOY3jfLsydZIZ2tXf7zGhpaNCmVvFBukp+AcBr7d02NjZm8eLFSJJEXl4e2dnZtGzZksjISJo0aULv3r05d+4cUHRnqV27dkJLlOHfGW8AInOiOBF+Cv/MANnsejuD7nIjxuuFXe8z2lQTV7Kfqyhk91MX9jyVx66nkiTOPfVjg7MjSkkli13POTicVTdKx67XX78NX422oEFNgVVI6UV2vesPSs6uV75s2VfGG4BK5ctTrly59zLm/FvjTbYih8vRV7gfby27Xa+yTHa925GBrHxh1/u8kxlz2xsJtev5xMWy1M4Gn/hYJnXW5ZvuptTUFGjXS8tg/W177jx5hkXr5myeMISWgu16+2+6ccram+b1a7Bn0VgM24q1612+68OBM85olC/Hj58OYECPd69CqlW5MvVeEXNqV9YiOjXtvYw38O+MOSpJhWOSE+dKwa4X+cKuN1tGu97QZu35Qa8XjbTEJTxftuvp1W/ApQlT6FJP3E6SvEIFh5w82WfvTi057XqXHckrUPDVKHPG9RCbJPd+EsmWA9Ylater8g9rqoIXvY/eh3jz2mfPGjVqcOXKFXbt2sXo0aPJzs7G39+frl27oqWlRXR0dIlN6nUIzw7neMQpgjKfYV7bjHGNx6CtIe7LGZ+Xzo7A29yJ9cGgZkuOm36OTlVxX87swgJ2PXFmv787Tapoc7jXBHo0FLfNS6lSceaJLxtdHClDGZb16sv4DmL3YNoHhbLmlh3RaRnMMtVnnqWh0AVWUFQiG87Z4hEUxSCjdnw1yoK62uLKypNSs9hz3IFbtk/Qbd+YA+um0bqFuH27b0u1atX44Ycf+Oabb8jJyWHnzp2EhoYyZcoU3Nzc0NHRYciQIfz888/ExcWxa9cu4XP6t8WbIrveFawTbD5Yu96NcH9We9uQXpDH110smNXWUGyJcGw0S+1seJqYwJTOunwt2K4XmZLG2tv2PPAPpmfbFrLb9fZ9Mw59wXa9C7e8OXTOmcqVNPj1y8H0s2gve6PS1+HfFnP+bfGmyK7nwIWoi4A8dj3nxEA2B9wgNjeNyc3NmSmDXW+p5z1c4yMY0bwjP+j1or5Mdj3Dho24NmmabHa9etWqsmvqCHq2aSF0gXXV5Qk7rjihUCr5dlwPxlh0+eDteq/Dvy3ewL8v5jzPfM7xiFOEZYfTu25PRjcaSZUK8tj1zOu0Y73eVJpqiasoSc/PZYuvI8eCPGmjXYfTfadgXE+czau07HrrbtuTkp3DApnteqPMOvPZcPnsekZdS8eu9zqUdrwpI0mS9KYvUqlUeHh44OXlRXp6Ojo6OowcOfJvS5JKiry8PDQ1NYnPSOBG0i3sEu1pqdWCKc0moVNFXMIjX1nIiTBHDofYUkOjCovaDqJnvY5Cv5yXw56w1tuGHEUhi7qYM62NPhVENiqMjmKZnTWByUlM09XjKyMTqgvs0h+WnMqam3bYBYXSt30rvh9oQZOa2sLGS8vKxeqaCxccHtOuaV3+M74nui3FVT0UFCo4d6NIX161SiU+m96D3qYlV4W0cOFCmjVrxo8//ljsc2JiYtDR0SE3N7dExixNSiPewP/HnBtht7iedJNyZcoxrsloGex6gWwJuPGR2PWa8KtlL+F2vX32Dznk7Elj7er8OLgH5nLY9a4WNSr8bLipcLuem3coWw/aCLHr3bp1i6VLl+Lq6vrK5xkaGrJy5Ur69+9fIuOWFqUdb3wSHnM+/iKROVH0rdebkY2Gy2rXW9RusGx2vY416vGbQT9Z7Xo/mlsypLXYquBbfkFsuONAem4en/Q0ZrqJnmx2vTEWXfhkmAx2vSO2OLgX2fW+mNmrRO16GhoaREZGUq9e8dvxV65cSXR0tCxJGNGU5poqOj2Ga4nXcX5h15vSbJIsdr2TYY400NTmm3ZDZbXrfavbQz67XnoGc7vJbNfr0o5vB4i16yWlZ7P9iiPXXJ7SVach30/oRTvRdr3L7py4XGTX+2JWrxK1640fP54+ffqwYMGCYp/j5+fHgAEDZE+4vg1vFTXKli2LkZERRkZGJT2ff+Rn31+prFmZeS1nY1Kru9AFll2CP1sCbpBSkMWMlj2Y0tyCSuUE7sFMjuU3j3t4J0UzXkeX77r2oHYlcRd00ZkZrHW05/qzQCyaNuPmgBm0FrivOCsvn9127hx18aJZrRocmDkaUx2xjQovODxm93UXypUtyy9T+zK8u7hGhZIk4ewZwvZDNiSkZDFlhCFTRhlRqaK4z8zHQGnGG4DTkWcZ1HTAB2fXS8nLYaOPPaeee6NbqyGXBsyga2157Ho1Kmmyc/AwBuqI66PxZ7ve1/3kteuN71Fk16umJS5JHhWbyvbDtjh5BL+VXU/NXynteLMuYANd6nSRxa53KNiGk2FONNGqxQ6D2RjV/nDsepIkYR0Wwgp7W+Kyspivb8BCfSPhdr1VN23xCItmpF4Hvu5nRt2qAvXlL+x6N90DMGjTmJM/TaFNY3FJ8ne166n5e0oz5vziu4QaWtqy2/U+bdNfuF3vYUIkv33gdr3t1s6cdpfXrrf/lhtVNDVYPXsw/Q3+3Xa9j5H37l+nR50ejGk5Es1y4r6cIVnxbPK/gXvyc/rX78IX7QZRr5K4bV6Judls8LHlXPBj9Os05srAmXSuJa4bf56ikL2eHuz2dKeeVhX2Dh1BnxZi92Be9XnKxruOFCiU/GeAJRONughdYD0MjGT9OVvCYlOY1FuPuYONqaoprqw8IjqFrYescfMOo5dJG7YsGUf9uuI+M2rkY2nH/9KiRnNhvz+rMI/9wdacCXemhZa8dr2KZcux3mQooz4wu55fdBwrb9jiExXL6G6d+FpGu55xu/fHrqfm38enrRZiUr+7bHa9L9sOZGzT7kIXWK7x4fzmUWTXm9HWgC87i7XrhaSmsNzeBrvwMAbqtObYqLE0ribufPy7Xe+chx+dGtWTxa534oEXB24X2fXWzRtCHz2xSfKSsOup+fcxsH5/RrYYrrbrvQMv2/Way2zXK1+2LEtH9GW03Ha9/oZoCrxp/SzshV3vybvZ9T5G3rvEztgmo6hUTswFQUZhLvue3+d8hBs6Veqxx2geejXF3Y0oUCo5GuTJNl9HtMprsNl0OMObdxBbIvz8Gasd7UjNy+ULo+7M7qpPRYHlno+j4lh5wwa/6HjGGXTmqz6m1NASl5SLSc5gy0V77ns9w6xjc9bNHULz+uLKyrOy8zl83oVzN7xo3rgW25aOp1sncft21chPA00xvbR+t+tZBd1BIZNdzzE2lGUfsF0vKSubzfecuOT9RDa73rH7Hhy6/ZBa1SqzccEweuqKTZKXpF1Pzb+PbjX0hH1+frfrPUmPYmQTQxa27ksNDXEXy1FZ6azytuZWRAA9GrRkp/kodKrLY9drWaMmJ0aNw6SJuPOxQqni9EMftj8osuutHNWP4bodhFYF2z0OYdN5O5LSs5k10JBpfeWz6w3p3ZkFU8ypUV1cJbkaeRneaKiwpM7Ldr1OMtr1dj9xpbamlix2vcsBT1n7wq73o3kPpnQWb9dbdcOWYLVdT00xvHeJHREoJRVXIh+y+9k9AL7vMJzhjQ0oJ7BRoW10MMu97hOVlc689sZ82smEyuUFZsyTEllhb4NLVCQj27ZnsZkl9aqIu6BLyMxi8z0nLns/xaB5I85/Mpn2DcQ2Kjx85yFH73lQr0ZVtn02EvNO4pJyKpXETWs/9px0QKlUsWh2b4b1E9uo8GVy8gt4Fp9U7PH4xBRZ5qHm7XicGsEG/2uy2vVWellzNypIPrueuwvHfLxlt+tV1qggu11vziBjpvaVx67n/zyWYX27MG+SOTWqi/vMvIxCqXplvIEiG4eafydJeRnsenaX69FFdr1jMtv19vcYS+9GrYQusM4/9WP9C7ver5a9mCSDXW/1TTvCk1OZbtKNT3qKt+ttOGeHq384Awza8tUoC+rXFNdsWoRd701Iyc4h4xUxJzkrW7a5qHkzSsuut8rLmuS8HD7rZCqLXW+ZvQ2P4mKZ2KkL33Q3o1ZlsXa9Dbftuf3CrrdJTrteg5ri7XpKFZfvPGL/aScqVihfYna91yXrH9ZU4UmpssyjJPjoEzteKaFs8r9OcFY845p2Z26rPlSrIK6iJDQjhRWe97GOCaZ/4zYc6jmeplXF9dFIzc1ls6sTJ/0e07FOXc6Nm4h+g0bCxitQKDjq4o2VrRvVNSuxcfxgBnUSuwfzrkcQWy7Zk5VbwMKhpkzurUcFgXewfQOi2XLQmmehCYzsr8vciWZUqyruM/N3+ETFMXzHsWKPF2amyzgbNa9LQl46OwLvcDv2Efo1W3LM9HNaCbfrubDf3+2FXW88PRrqCBvvd7veJhcnJCSW9uzDhI6dhTYqdHgWxuqbtrLZ9Z5FJ7H+rC0eQZGlZtdr01JcFdLfkZyd88p4AxCWkCzTbNS8LqVh17se7s9qb2syCvJZ1NmCWe0MhC6wStuut33yMJrXEncNl5mTx+7rrpy1eyS7XU+zkga/fDGY/pby2/UueT3lmE9QsceTXB8xrn1z+Sak5rVwSQxiU8B1YnJSmdLCQha73jLP+7jEhzOieUcW6/WkQWVxVcGJ2dmsc3bggv8TDBo24urEqXSsK+58nFtQyAFHD/Y7PCyy600ZTs+2Jdc4+M+oVBJXXZ+w47J8dj2Px0V2vcjYIrvejDHd0aos7jPzdzwMjWL/K65x8hNiZZzNu/HRJnbic9PYFniLe3G+GNdqzUmzCbSoIq6iJKswnx1+zhwMcKdF1Zoc7zMJs/rNhY2nUKk46evDZteiPZirevdjbAexfTRsg0JZc9OO+IxM5pgbMNfCEE0NcXswAyMTWHfWFu/n0Qwz6cAXI8ypLbBEODE5E6vj9ty196dbpyYc2jAdnWbiGhXm5hRw+fxDJk03+8sx3cb12fjJtGJfGx8XR789a4XNTc2bka8s5FSYE4dCbNGuUJk1XSfTS7Bd70rYE9a8sOt937Un09t+WHa98OQ01tyyxTYwlD7tddgzbaRQu156dh5W15w5b/+Ytk3qcOi7CejqiLXrnb/hxaEXdr2l3wwtUbven5EkCXtrf3r06fCXY7W0KnPq8+LjDcDoa0eFzEvNm1Madr2nKfH85nGv1Ox61ydNE2rXyykoZK+9O4ecPGmkXY2900dhIdiud9nJj50v7Ho/TOwtm10vNiGdicMNmDbaWKi+PDQ4gUD/GAYO7fqXY6O6dWCchXGxr7VSJJKXniZsbmrejIjsJLYE3MQxMYAedTuwRX+mULteWn4umx7bc+JZkV3vfP9p6Au06xUolRx+VGTXq1pRg60DhzBUsF3vtl8Q61/Y9T7vbSLerhcSw/qztgREJMhi14uJT2PHETvs3Z5hqt+SVd+PLFG73p/Jyszj6kUPJs8w/8sxwxaNWT5hUrGvDfL3Z/71E8LmVpJ8dImdPGUhx0PtORJiT+2KVVmvNxXLuuLuRqgkiUuhvqz1tiVfpeSnbn2Y2rqb0BJhl8gIltrbEJKawkxdPT43MqFaRXHZz5DEFNbcssPhWRgDOrbm4KwxNNIWlzFPzcxh51VnLjn50rFZfY58P5HOLQQ2KixQcOaaB8cuulG9qiYrvhtOj+5iGxVa3/Vj305rcnML/jaxU7miBq3rFd8MTktZIGRuat6M3+16WwNukpSfycyWPZjSQrxdb6nHPbxksuvFZGaw5oVdz7xJM25OFmvXy84vwMrWjaMuXjStqS2LXe+ioy9W15yL7HpT+jLcRGyJsLNnMNsOymfXex4Ux67Nd/D1ifzbxE75cmVfGW8AKqlNFf8KwrMS2RxwA+cXdr3tBrNpWFlt13tb/mLX62vGZOOuaAisCvZ6FsWGc3Y8i06U3a5nYdhKuF0vIyOXI/vsuH7Jk3YdGv1tYqemVmXqvSLm1KqiRbQ6sVPq/G7XOxXmROMP0K4HYB0awgoHW2IzM5mvb8ACfSMqq+16b01uXgHHLrpz+upD6tWpxvqfR2PSTZwwRKlUcfvaIw7ttUWSpL9N7FT5hzVVfqK4c2hJ89FciUmShHW8H9sCbpFWmMMcnV5Mam5GRYELLO+kaJZ63MM3JY5JrbryTRdLalYStwczKiOdVQ523A5+Ro9mLdg1eBgtawjcg5mXzy4bV467PqJlnZocnjUW45bi9mAWKpWcs/Nhz3VXKlYox9LpAxhs1F5oo0IH9+fsOGJLcmo200YbM2m4ARUFLrCCAmLZufkO/n5RDBzalVkLegobS41YQrLi2ex/A7ff7XptB1JPU1vYeEl52ax/ZMe5YB+61W4kq12vbmUt9gwZQd+WH5ZdzyMoknVn5bXrbTtkg6t3KD1N2rB5yTgaCLTrpaflcGivLbeuetOmXQO27ZslbCw1YnnZrtdcqw67DOdgUEvctsuPwa73JDqelTdteBRZZNdb1NeU2lXEJcnjUjLZesmBOx6BGLdryumfp6LTUJzN5692vbEY6jYXNp5SoeLGFS8O77OjXLmyLFo8mAFDugobT404VJKKWy/sennKQr6Qya631OM+z9OTZLTr2WIXHspAndYcHTlGBrueM+c8fD9cu55jAFZH7cjJK2DeZHPGDuom1K7n5xPBzs13CQmOZ/hoA6bPsRQ21r+FjyKx8zwzjo3+1/FMCWFQw6581mYAdQXqyxNys1j3yJYLIb4Y1W3CtUGz6FBD4B7MwkJ2e7qz19ODBlWrsn/YKHq3EJf9VKkkLnk/YfM9JxQqFT8O7sl4g85C92C6+Yez/pwtkYnpTOmtx5xBxmhVElgiHJnE1oM2eDwOp49ZOz6dbkm92gKrkFKyObTHhtvXH9G+U2N2HJhDm3bqTvDvIxmFuex//oBzEa6y2/Uql6/AJtNhjGgudpvX7eBnrHIosut9btidOXry2PV8o+MYb9CZL/uYUlNLXJL8ZbueaQeZ7XqNarLtt/F06yzQ5qNQcv2SF0f226GhUZ5vfxpK34FdZGtUqKbkUEkqrkd7sasU7HphmSnMaWcki11vub0NjpHhstj1krNy2HLfiQtefug2/kDtevZP2X3cnvwCeex6Pl5h7Npyl/DQJEaOM2TabAu0qohblKsRx9P0KDY8vVZk12tswMI2/YTb9VZ7W3PzhV1vh/lI4Xa9He4uHP5I7HozBxgyvZ9Yu15gSDxbDljjFxjN4F6dWDDFgpraAltnJGSwb+cDbO49oZthC/YcmU/zluKqkP5NfNCJnbSCHPY+v8fFCHfaVGvIfuOFdKkh7suZr1RwKMCDHX5OVNeoxHbzkQxp2k5sifCzQNY42pGRn8/X3U2Z2bUbGgLvYHtHxLDyhg3+sYlMMOzCl31M0a4ssEQ4MY3NF+yx8QnGonMLNi0cQdO62sLGy8jK4+AZZy7d9qZlszrsXD4R3Q5iGxVeOf+QYwcd0NTUYPF/R9C7fyfZGxX+E7/88guampqEhoaybNkyGjb8Y6l9bGwsixYtolu3bnh6evLTTz/RtWvX0plsKfGyXU9Cfrve3PbGfNrRBK0K4hKeAUmJLH9h1xvRtj2LzSyoX0WcmeVlu55+s0Zc+GSKbHa9utpV2fLpCCw6tRC6wHrZrvflrF6M6K8rNEnu9TCEXVvuEh2ZwugJxkyeaY6WlryNCv8Jdbx5PR6nRrDR/xqBGTGMbmrE/Fb90JbJrte7oQ57LMfQopq4hGdGfh5b3OSz6xUqlZxw82GXjSuaFcqzdsxAhnYRew1n7f2czRftScnM+SDtevGxaezZ8QAHG38Mu+vw87LRNG0urgrpbVDHm9cjKT+TXUF3uB7thW6NZhw1/Yy2gu16e566svupK/U1q8hq11OoVPxi0ZPJnXXFts4IjmDVTVvCk1OZZqLHJz2MqSJQX15k17PF1T+C/vpt+Gq0BQ1qCrxp/ZJdr2ObhuxbM5V2rcQJQwryFZw76cLpY85o16jMktVjMbMU1wvpbREZcz7IxI5CpeRSpDt7nt+nfJmy/NRpFEMbdaOsoAWWJEk8iH7OSq8HxOZksqCDMQs7mKApskQ4IZ5l9jY8jIlmTPuOfG9qQR0tcdnP+IwsNt5x4NrjAIxbNOHSp1NpU19giXBeAQfvPOT4fU8a1qrG9s9HYdaxubDxlEoV1x/4su+UIwDfzOvL0D6dKSdwgfXQNRirLXeJi0tj7MTuTJpuhmZlcYvyt8Xa2pr4+Hj27duHnZ0dP/74I0eOHPnDc3bu3ImJiQmLFi3i8uXLrFmzhtOnT5fSjOXHOyWUjR+JXa+DLHY9Jcdcvdll4yqfXc8ziK0XHcjIyWPBUBMm99JDQ+ACS267XmxMKnu238fJLpDu5q1ZunY8jRqLW5S/Lep4888k5mWwI+g2t2KK7HrHzb6Qza7XuEp1Wex6Z5/6sdG56Hy8rFdfxncQ2zjY8VkYq2/aEZmazmyzD8+ul5yazZ4T9ty0KbLrHVw/ndYtxCXJ8/IKOXvcmTPHXahdtyrL10/A2FTcovxtUcebf6ZQpeB0uDMHn9tQpUIlVuhOoF/9LkLPxzfC/VntbUN6QZ4sdj2v2BiW2lnzJDGByZ268HV3M2poijsfR6Wms/aWPff9n9OjTQu2TRpGi9ry2PV0ZLDrKRQv7HpnXahUqYJwu54kSTjaBbJ3+z3SUnOYNMOMsRO7o1Hx35fmEB1zSuUdBwcHs2TJErp27crTp08ZP348AwcOLJHf7Zkcwgb/a4RlJzKxmSlzdHpTpYK4ipLg9GSWe97HLjaEwU3bcaz3JBpXEbfNKzknh02uTpz2e4xuvQZcGj8Z3fpi92AedvZir7072pU12TpxKP06iDs5S5LErYcBbLvkSE5eAZ+PNGdCT12hfTR8nkax9aA1weGJjB6kx6zxplQTWCIcFZnCnm33cHV6hpllW1ZunEiDRm8W0HPyCgiOSSr2eHxcCgB5eXl/eLx8+fKUf8MtMw8ePMDAwAAAIyMjJk+e/Jfn1KlTh8TERAASExPR1dV9ozFEIjLexOemsT3wNnfjHmNcqxUnzL6gZRVxJfsv2/WaV63Jsd4TMW8gbpuXQqXilN9jNrs6Ua6MeLsegG1gCGtu2RGXLo9dLygqkXVnbfB6Fs2w7h34fKQZdaoL1JenZGF1zJ479k9ls+udOurE+dOu1K+vzapNkzDs/maLcoVS9cp4A0XnCqVS+c4xRx1viqc07HpXw56yxtuGbEUB/+nak+lt9IVWBbtHR7Hc3oaApETZ7Hprb9lhExhCn3Y6WE0bQVPBdr3d1104Z+cji12vsFDJuRueHD7vShWtirLZ9fbsuE9WZh7T51oyarwRGm+4zSM1M4csZfExJyUjG5VK9dHHGxAbcxwTAtgsp10vNZ6lHvdwT4hkzAu7Xl2Bdr34rCzWOtlzOdCf7o2acG3SNNrLZNdrWL0ae6aNxLKNuGs4pUrFFecn7LzihCRJLJ7Qi1HmnYXb9bYdsiEmXj673q4td3nkGUaf/p2Y+1lvatd5syqk7NxXr6kiE1KB92NNVSqJnZSUFKZPn07//v1JTEzE0NCQsLCwd/qdsbmpbA24hXW8H6a127Cm62SaVRH35cwoyGObrxNHAj3QqV6LU30n072eODNLoVLJCV8ftrg5U7Fcedb3G8jIdh2ENip84B/Mutv2JGZlM8/CkNnmBkLNJ0/D41h31hbf0FhGmHTisxGm1KomsAopKYNdR+144BSIoW4zDm2cQcumAquQsvM5cdiRi2fcaNSkJmu3Tqab4dv1QvINi2Pc8mPFHi/MTkehUKD5pzsOS5Ys4bfffnujsZKSkujQociUo6mpSVpa2l+eM3/+fEaPHs2PP/6Ig4MD+/fvf6MxRCIi3uQpCzkR6sDhELtSsev9qNebqW26CdWXu0RGsMzehuDUFGbo6vGFYLteaGIKq1+y6x2YKdiul5XLrqtOXHL0o0OzerLY9c5e9+ToBVeqV9Vk+XfD6NldbBWS9V0/9u+yJiengNkLejFirOFbNSpMzsx5ZbwBCI5J5uTJkwwePPgPj79pzFHHm7/yZ7vejJaWTG1hKZtdb5yOLt/p9qCOpmC7npM914MCMWvSVBa73m47N444e9O0ZnX2zxiNWasP0K53yJaE5EwmDzdgyigjNAX2JnweFMeuLXfxfRRBv8FdmLOwF7Vqv91W3asuTzntHFTs8TjPRzSSEt/5Gud9jzcgJua8bNfrXa+jbHa908GP6FyzPhcHTEevtriq4HyFggPenuzycEO7UiV2DBrGoFbi7Xob7zqSnV/Aor5mTBFs1/N+Hs36s7Y8i05knKUuC4eayGrXW/eTeLve0f12XLvkiU7r+mzZM4OOnd9O4OP5LIrjr7jGyU2JJTMz871YU5VKYsfQ0PB//61SqdB6hy1EecoCjoTYcTzUgbqVqrOp23TM67YriWn+LSpJ4lzwY9b72KJUqVhi0I+JrboK3YPpGBHOcnsbwtPSmKXXjc8Mu1NFQ+DJOSGZ1TdtcQ6OYHDntnw3wIIG1cX10UjOyGbHFSeuujyhS4sGHFs8mQ7NxFU95OcXcupqkb68Vg0tVi8eibmh2EaF928/5oCVDQUFChZ80Y9ho/QpV/7tPzOdm9dn44JpxR6Pj4ujz7m1ZGZm/uHx4jLLSqWSHj16/OXxLl26ULt2bbKysgDIzc1FW1v7L8/7/vvvmTBhAjNnzsTa2pp58+bh4ODwBu9IHCUZb/5s15vbqjeTmpuhUVZcKP3drvc4OZbJrfWE2/WiMzJY5WjHredB9GjWgp0fmF1PoVRx3t4Hq2suVKxQjiXT+jHEWGyjQseHwWw/bCObXe9ZYJFd76lvFAOGdmX2gp7UqPn2dz1rVa3MmV+LjzcAo1yOMnnyZPbt2/eHx/8u5qjjzevzMdj19nl5sNvDnTqlYtez+PDtev8dK7tdr33Hd1uUDzfpwJg+xsUe37U1kez0lL987z+2eAMlG3OyFHkceG7N6XBnWmjVFW7XU6hUHH/mxebHDlQsW4513QczqkVnsTetQ4NZYW9LQk42C/WNmK//Ydn14lMz2XrRgdsy2vWOnHfl7HVPGtWvLt6up1Rx84o3h/fZUrZMGRZ9P5j+g3XfqXWGfuvGLBs/qdjjQQH+zHU8QUJCwh8e/zeuqUp989n27dtZs2bNXx5XKBQoFIr//f+fy58kSeJ+nC/bAm+RWZjL/NZ9mdjMlAoCF1ieiVEs87iHX2o8U1t34+suFmhXFLcHMyI9jVUOdtwNeU6fFi3ZM3QEzbXFZczTc/PYaePKSbdHtKlbm2NzxmHQXGCjQoWSM7aP2HvDlcqVNFgxcxADDcWWCNu5PmPnUVvSMnKZOc6E8UP1qSiwE3zA02h2br5L4NNoBo/oxsx5PdCu8e4BvXIljVcGak0KAKj0miXs5cqVw9HR8W+PWVtbc+rUKRYsWIC7uzt9+/YFICcnh5ycHGrXrk1MTAyDBg0CoF69ehQWFr7J25GN4uIN/HPM+aNdT4/P2wygTiVxFSUv2/UM6zTh+qDZdKiptuu9C7/b9SIS0pjSpxtzBhpRReACKzQyiW2HbHjoE04fs7Z8Or2HfHa9jiVn1ytfruw/XhhWrFCecuXKvVbMUcebf443mYW57JPRrleoUnI00JOtMtv1VjvakZyTw6eG3Zn7Adr1tl60594Lu97auUNoIdCul52Tz+FzLpy76UXThvLY9a5d9OToAXsqVChXona9GlUrU69e8TGnZjUtcjPT1PHmT7ztmkolqbgR7c3OoDsoJCXftBvCqCZGQu16TnFhLPO4R2hmCrNf2PWqCrTrPU8psus5RIQztHVbFptb0kigXS8lu8iud96zyK53dsEkOjUS1wstr0DB8fueHLzjTq2q8tj17to/xeq4Pfn5Cj6ZZsnogV3F2vW8w9m1+U6RXW+sIVNnW1Cl6rtXIWlpvnpNlZtStPZ+H9ZUpZrYOXHiBA0bNmTYsGF/ObZixQqWLl36t68LzIhho/91HqWGMaRhNz5r05/aAhdYcTmZrPG24UrYE0zqNePGoNm0qyGu6Vx2QQG7PNw44OVJ4+rVODR8ND2ai92DecHTjy33nZGQ+HVob8bqi21U6PQkjI3nbIlOzmDqiwVWZYElwsHhiWw9aI2XXyT9LdvzyVRL6tQSWIWUlMmB3Tbcu/mYzrpN2HVwLq3aigvoIunduzcPHjxg6dKlhIeHs3r1agDOnz+Pt7c3mzdv5tdff2XVqlU8evQIf39/Nm7cWMqz/iuvijdQfMxJK8jhaMidUrPrbTMbwdBmYpvO3XgWyGpHezLy82S360006sLnvU2oUVlgo8K/2PWG07SuwEaF2UV2vYu3iux6O5ZNoGtHcVVIhYVKrl7w4NhBeypV0uD7X0fQZ8C/z673Onzs8UYpqbgU6Y5V0F0k4D/thzGiiaFQu55dTAjLPe8TmZXG3PZGfNrR9IOy6yVmZrP5niOXvJ+i36wh5xdOoUNDsXa9I3c9OHL3IXW0q7D5k+FYdm4p1q5n48eeEw4olCq+mKm2670uH0q8gbdfU71s1xvVxIgFrcXa9SKz0ljp9YA7kUV2PSvL0bSsJlJf/v92vTa1anNq9HiMGws8H//Jrrdm9ECG6Qq26z16zuYLRXa92QONmNZXX6hdz/95kV3v6TP57Hp7dz7A3tofA+OW/LRsNM3+ZXa910V0zCkjSZIkavKv4uzZsyQkJPD5559z584dLC0t/7B37e+yyzVq1GCpx2luJD6mY/XGfNt+KB21xX0585UK9vu7s+uJMzUqVubnbr0Z2ERsRcmVQH/WOjmQXVjAV8amTO/SVWyJcFgUq27aERSfyGTjrnzWqzvVNcXtwYxISGPjeVscfEPppavD12MsaVxHW9h46Zm57D/txJW7PrRuUZdFs3vTuZ1Am0+Bgktn3Tlx2JEqVSsx/7M+9OjToUQ/MwsXLqRZs2b8+OOPxT4nJiYGHR0dcnNzS2zc95l/ijdQfMzpefNXKlasyKdtBgi361lHP2eFjHa9p4kJLLOzwT0mSha7XkJGFhvuOnDNp8iu99PgnrLa9b4d11O4Xe+GtR97TxaVzM6bZC6PXW/rXeJi0hg7qeTterdu3WLp0qW4urq+8nmGhoasXLmS/v37l9jY7yvvEm8mPthIWGGKLHa9sMwUVng+4EH0c/o3bsPP3XoLteul5eWy2dWZE74+dKhTlyU9esli17OydaNqRQ2+G2DJ4M5i+1rd8wpiy4Uiu97cQcZM7i3WrucXGMPWg9YEhsQzsr8ucyaaUV0mu56xaSsWftmPxk1LdlGuoaFBZGQk9eoVX6G6cuVKoqOj2bVrV4mO/b7ytmuqn9yPcS/5Kfo1W/BN+6G0ripu22V2YQFWT1zY5+9GI63q/Fe/Lz0byWPXk5D4xsSciR3FNg5+2a43y6wb8y2NhNr1nkcnsf6cLQ8DIxlk2I4vR5lTr4a4JHlKWja7Tzhw09qPLu0bsWh2b9q0FFdJ/ge7Xp2qLPyqH93NSrYX0vjx4+nTpw8LFiwo9jl+fn4MGDCA6OjoEhtXFKVSsePh4cH8+fPp2rUr58+fJyIiAi8vrz8EoeI6TTsmBfLfzmMY1LCr0AXWvahnrPR6QGJuNp90NGFeeyOhezB9E+JZZmeNV2wM4zt25lsTc2pXFpf9jE3PZP1te275BWGq05TLn02jVV2BjQrzCth/y40TD7xoWlcbqy9HY9xebKPCq/d82H/KiXLlyvL9gv4M7t1JaKNCN6dnWG27R2J8BuOnmjBhqimVKon7zKh5PV4n3kDxMWdIw24s7DBQuF1vhdd9bGNCGNS0Hcd6T6RxFW1h46Xk5rDRxYkzT3zpUrf+h2/XG2HGhJ5dqSCyRNg/iq0Hiux6owbqMXuCWLtedFQKu7fdw9XxhV1vw5vb9dSUPO8ab6praHHccAo6VcXa9Xb6OXMw4CHNqtaQ3a63snc/xsls15tjYUhlgXa9wMgE1p+zxetZNEON2/PFKHPZ7Hp6HZtwcP10WjUXaNfLLeD0USfOnXKlXv3qrNw4ESOTVsLGU/P6vMuayic1nNVdJ9G7nrgKzz/b9b7r2oMZbQyEVgU/jIlimd0Lu16XrnxlbPrB2fWsrjlz3v4xbRrX4eB34+mqIy5JXlio5NxNLw6fc6FK5Yr89vVQ+piJt+vt3XGfzMw8ps2xZPSEN7frfYyUyr+QgYHB33aBfh1OmX1FLYE68WfpSSz1uIdTXBjDmrXnB73eNNQSt80rKSeHDc4OnHvqR7cGDbk8cSqd6wrMfhYqOODowX6Hh9SposX2ScPo017sHswbbk/ZftmR/EIlX4+2ZGwPsY0Kvfwi2HrAmrDoFMYO1mPWOFOqCCwRjgxPxmrbXR66BGPRqz1rtkymfgNtYeOpeTPeJd4AfN52IJUEJXX+bNc72WcyJvUFJjxVKk74PmKza5Fdb23fAYz64Ox68aw/a8Njmex6CcmZ7Dpqx33HAAy6yGPXO3nEiYtn3GjQqAZrtkxG30hcLyQ1b8a7xpvN+tP/kgQqKYrsen6se2RLrqKQH/R6CbfruUZFstTOulTsev07tOLAjNE0qiHumvFjsOvZ3HvCvp0PyMkpYNb8Xowc93Z2PTVieJeYc9zsS7S1xFV4+KXEsdTjHp6JUYzT6cJ3uj2F2vViMzNZ42TPtaAAzJo05cbk6bSpJe58XJp2vbJlyvDLlL4MM+kgtArJxTOEbYdtiE+Sx64X/CyeXVvu8Ng7gn6DOjPnk95vbdf7GHnvUl9a5cVcEGQU5LHlsQNHgzxpq12XM/2mYlRX3DavAqWSoz7ebHN3oUoFDTYNGMzwNmL3YN57+py1t+1Jy8nlkx7GzDDtJnQPpm9oLOvP2vIkPI7R5p35dJgpNaqKq0KKS0hnx1E7bF2CMNZrzrJvh9GsscAqpOx8jh904NJZd5o2r8367VPpqt9c2HhqPhz+bNf7r0FfJrXSE2rXc4oMZ7mdDWEy2vVW3bTFRSa7XkpGDjuvOnHZ2U8+u941D45fdKOmtjx2vQd3fNlvZU1+XiFzP+3D8DH6QhsVqpEfUZ8fn+QYfnt4D5/kGCa26sq3uj2oJZtdrzk7Bg1Fp6a483FWXj67bN045uJNi9o1ODRrDN1bCmwcXEp2vR1HbElKyWLqKCMmjzAUatcLCohl15aSs+up+fdRqZyYz09yXg4bfOw48/wRerUbcXngTLoItuvt9/LEysON2pW12D1kOP1aiqsKVqkkrj32Z+NdR/IKFXw3wJxJRrpCb1p7BkWx7qwNobEpTOjVlfmDjalaWWDrjJgUth+ywcUrlJ7dW7PpV/F2vcP7bLl5xZvWbRuwde9MOnQSJ/D5UHnvEjsljVKl4kywDxt97ABYZjiACTq6QrOfdmGhLHewISojg3ndDFiob4SWwAVWUFwSq27a4hYayTDddnzb34J61cSdnBPTs9hx2Ylrrk/Ra9WIkz9OoW0TcY0K8/ILOXHJnRNXHlK3ZhXW/jgKU32xjQrv3vThgJUNSqWKTxb1Z+iIbu+kL39TcvMKCIlIKvZ4fHyKbHNR82Z4JUax9IVdb8oLfblIu15kejorHW25G/yc3s1bslsOu561CyfdfWS362lWrMDymQMZZCg2Sf6yXW/G2PfXrve6KJSqV8YbKKokUPPvI/GFXe98iC8GdRpzbdAsOtYU18j/Zbte/SpV2DdsJL2biz0f/79dT8kPg3swwaCLWLteQAQbztoSnpDKlD7dmDvIGC2Bd7Bftuv1Nm3L1t/GU7+OfHa97ftn07Z9Q2Hj/R1pGdlk5xcfc1LSsmWcjZrXpTTseneCn7PK0VY2u55vVBwrb9ryOCqWcfqd+aqvfHY9kw7NWD1nMC0bCLxp/Se73tbfxqMv0K6nVKi4dsmTI/vt0NAoX6J2vdclJzf/ldc4kbGpss3lXfmoEzvuCZEs9bhHYFoC09vo81Vnc6oLXGCFpqWy0t4W67AQ+uu04uDw0TStri1svLScPLZbO3Pa/TEdGtbl5LwJ6DUVd3IuKFRw0sab/TfdqFa5EmvmDqZfN7ElwtbOgew8akdmVh5zJ5gyboi+0BLhJ76R7Nx8l+CgOIaN1mf63B5UqybuM5OamEmNOn+tcngSFMv0rw8X+7r83HRhc1LzdsS/sOtdDntC93pNuT5oNu0F2/WsPNzZ7+1B42rVODxiDJbNmgsbT6lScd7Tj60v7Hr/HdqbMTLa9ab11Wf2AEPZ7HoDLDuwcKqFULteSnIWB6ysufu7Xe/QXFq1EahLzS2gkuZf//1S07JfGW8AQv8h8aNGXgqUSg4FPmSHrxNVNSrKbtdb1N2EmbrdhC6wvCNiWHXTlqcxCUww7MIXfcTa9aKT0tl0wR6bR8+x6NyCjQuHyWbXa9G0tnC7nkKh5Mr5/7frLf7vCHr3F9t7JT05C+2/2WZxw/oJF+8GFvvayABvhvQQ1xdKzZtTOnY9W1yiImSz622578RFryey2/Xqaldly6cjsOjUQmiS/JatH7uPy2jX8wjFavNdoiKTZbHrpSVl/m288X4SyQWHw8W+Ljs9TticSpqPMrETk53Bam9rrof7Y16/ObeGzKV1dXF7MLMKCtjx0JVD3p600K7B0ZFjMW8qdg/mWQ9ftj1wpnzZsiwb0ZdReh2Flgg7+IWy6bwd8amZTO9nwMwBhmgKbFT4LDSBrQetefQ0isG9OrJgiiW1BN7BTkrMZP+uBzy440fXbs3YfWQeLXQEBvTsfM7sus/FfbZcDVr/l+Md2zRg/ZyZxb4+Pj6O3jYbhM1PzeuTr1RwwN+dnS/sejstRjFIuF0vgLVO9mQXFvCdiTnTdfWENir0DI9m5XUbghKSmGyky2e9TYTb9Tadt8PeN4Reujps+2ykULtexgu73uUXdj2rlZOE2vUKC5VFdr1DDmhVqcjPy0aVuF3vZSRJwv76Iw6svspR5yV/OV5DW4ujm2e+8neMHHZCyNzUvDnW0c9Z7nmf2JxM5rc3ZmHH7lQuL26B5Z+YwDJ7G9yii+x6/zE1p66WuKrghIwsNt515KqPP0YtGnPx0ym0rS+wcXB+IYfuPOToPQ8a1qrG9s9HCbfrXX/gy75TjkgSfD2vL8ME2/U83IKx2nqP2OhUxkwyZvJ08xK16/2ZsMBYdi+9RFJcGvutf/rL8SG9OzJykEmxr9+5PYXc7DRh81Pz+rxs1+vXuDUHeo6jmWC73pYXdr32depybtxE4Xa9467e7Hph19swbrBwu959r2dsvmhPRnYeC4aaMLmXYLteUAxbDxTZ9Ub012WuzHa9JWvG0bhJTWHjZaXncmLrba4fd+Ja0F/XRnodm/Db6MnFvj4w0J+5M08Jm19J8lEldvIUhez1d8PqiQt1Nauwx3IM/RqXrDbtZVSSxKWAp6xzciBfqeBH8x5M6Sx2D6ZbSCSrbtoSkpjC1O5d+bRXd6pWEtioMC6FjefscH4aRh+9Vuz6cgwNa4krEU7LyGHfKSeu3X9MW5167Fk9hY5txO3bLchXcOGMGyePOFK9emV+XTEGi15it3nYXPHi4Opr5ObkM+M/g//2eZqVNF7ZoLVS+QIh81Pz+rxs10vIzeKTjibMb28sm11vXIdOfGtqTp3KAhsVpmey4Y4DN30DMdFpyqVPp9K6nsBGhX+y6+36cjTdZbLrlS1bRna73rgp3Zkw1RTNv6miKSmCn0Sze+kl/NyD6TPa4G+fU75c2X9sCC1yK5qa1yM4I5kVnkV2vYFN2spq1+tctx4Xx0+mq2C73hFnL/a8sOttnjCEAR3FXcP92a732QgzJn5gdr2YqBR2b7uPi2MQphZtWL5uPA0bi1tgZaZlc2zzbW4cc6Jlh0Z8s37S3z5Pu5oW9V5xLqmprUW0OrFTqmQV5rPDz5mDAe40q1KDo70nYiGbXa8MK3r1ZWwHsVXBv9v1YtMzmW1mwDxLsXa9oKhE1p+1xfNZlHx2veP23LGTz6535pgzZ0+6UK9+dVZsmIixqTi7nlKp4u5ZN45suImkklj431F/+7zKmhVfeY2Tk/H+GEc/iisxSZK4FRnIKi9rUvNz+KKTGXPaG1GxnLi3/ygulqV21vgmxDOxUxe+6W5KTU2BjQrTMlh/2547T55h0bo5WyYMoUUdgSfn3Hz23XDltM0jmjeoyZ5FYzFsK7ZE+NIdHw6ccaJihfL8+OkABvQQW4Xk4hDE7m33SEnOYuJ0M8ZN7i60UeEz30h2L72Ev2cY/ccbMeO7IX+7DUvNv59n6Uks87iHY1wYQ5u15we9XjTSEtd0rjTsegcdPdjn8JDaVSrLYte76e7PtksO8tr1DtoQFpUsv12vZzvhdr30lCyObrjJ7dOutO7chM2XFtFOT1ySTI04Mgry2O7nxOEAeex6hUolJ3x92OImn13POiCEtbfsSMzKZq6FIXME2/X8I+JZf9YWn5CYD9aud+qoExdOy2PXUypV3DrpwrFNtyhbrgxfrh5Pv3FGlBW4KFcjhiK7ni9rvW3JUyr4Ua+3LHa9ZfY2PE9J/mDtelZXnbno6CuLXa+gUMGZa0V2vWpVKslm19u/6wHZWfnMmt+TkeOMhLbO8HsYwu7fLhIaEMuwaWZM+XogVauLW4f/W/jgEzsBqQks87yPS3w4I5t3ZLFeL+pXFrdYTsjOYr2zIxf8n2DUsDFXJ06lQx2xezD3OzzkgKMH9apVZdfUEfRsI3YP5lWXJ+y44oRSpeK78T0Zbd5Z6B7Mhz7hbD1oTVRcKuOH6jNzrAmVBd7BDg9NZNeWu3g9DKVnnw7M+6wPdeuLC+hpSZkcXn+Du2fdaafXjK1Xv6Z1Z3FJMjXiKE27nlYFDTb2H8yItmIryu4+eca6Ow6k5eSysIcxMwXb9fzC4lh3xqb07HrfDBVr18vK4/ghRy6ddadJs1rC7XpKhZLrx504vuk2FSqWZ9G6ifQZbaBeYL2HqCSJ8yGPWfdIfrteaFoqs/T0+VwGu97qm7Y4B0cwqFMbvhtgQUNtcVXBL9v1OrdowLHFk+jQTFxfq5ftejWqa7Hq+xFYGIm1+cht13vs+pzdv10i4nkcI2ZaMvnL/mgJ7E2oRhw+yTEs9bjHo6QYJrXS4xtdS+F2vdWOdtx8YdfbPnCILHa9467eNK8ln11v93UXNMrLY9dz8ghm++Eiu96UF3a9SiJvWgfGsmvLXZ48jmTAEF1mLehFzVoCBT6xaRxcfQ3bq150NWvNrlvf0Uzgzo5/Gx9sYictP5dNj+058cybjjXqcb7/NPTriDOz5CsUHPbxYoe7K9UqVmLbwCEMaS22j8YtvyA23HEgIy+fz3ubMN1EDw2BjQp9gmNYd9aGwMhExlp2YeFQE7SrCGxUGJfGjiO2OLg/x1S/JasXj6RJQ4GNCjNyOXrAnqsXPWjRsi4bd06ji8A72IUFCq4ddeTE1jtoVq7Id5un0GtEN2GfmXfh2rVrLFq0iBMnTtC9e/e/fc7p06cJDw8nMTGR7OxsrKysZJ5l6VGqdr30DOZ2M+ATAxntel3a8e0A+ex6XXUacuLHKbT7UO16CqUsdj1vpyD2LL1EdGgiI2f3YNIX/agscJvH26KON//My3a9ya30+EbXghoVxS2w/mzXsxo6ghYC7XoZuXnssHHlpNsjWtetzdE54zAUaddTKjlj68Pe6y5oVqzAshkDGWwkNklu7/aMHUdsSU3PYfqY7kwYZiB0S2Pg0xh2bL5D4NNoBg3TY9aCnkLtevFRKRxYfRWHGz50s2jLjzum06SVuErSt0Udb/6ZxNws1j+y41zIYwzrNJHFrrfH8yF7PB8W2fWGjqR3C/nseosHyW/XmzPQiCqa4qqQwqKS2XbQBnefsA/SrleQV8iFfTac2fWAGrWr8MvuWZgO6PzRrak+uMSOQqXi1HNvNvnYU65sWVYbD2Jsyy5iS4TDQlhhb0tcVhbz9Yv05ZoVxGU//WMTWHXTFo+waEbpdeDrfubUqSqwRDgti62XHLjlHoBBmyac+nkqrRsJLBHOLeDYRTfOXPOgfp3qbPhlDN31xO3bVSpV3L72iEN7bQH48ttBDBzWVWijQk+7APYsu0RsZDJj5vViwqd90RS4zeNdSEtLo3z58jRpUnzlSVBQENbW1uzduxcAX19fuaZX6sht1wtLS2Wlgy0PQkPo31Ieu94OaxdOufvQvkEd4Xa9QoWSk9be7LvpStXKFVk9ezD9DeSz682ZYMq4Id2ENip86hvFzs13eB4Ux5CRRfryagJLhOMik9m34grOd3wx6tOBX/fMplELcfvo3wV1vHk1pWHX2+3pzj6vIrveoeGj6dFc4PlYpeKC1xO23HNCQuLXob0ZK9iu5/w0jA3n7IhOSpfFrhcSkcjWgzZ4+kbQ37I9n0y1FG7XO7jbhjs3fOik24SdB+fQuq24O9h5uQWc323N+T3W1KxXnSX752DcR5zy+l1Qx5tX82e73nazEQwRbNe7+SyI1U52pOfl8ZWxCbO6irXrPYqMZdUNG56Ugl3PvFMLNiwYRrN6Yu16h866cOGWNy2a1GL7sgnoyWTXq1ipAt//OoI+A8Ta9Zzv+LJ/5RVSk7KY8FlfxsztiUYlcevwd0F0zPmgEjuu8eH85nGP4PRkZrYz4ItOZlTTEHc3MjglmRUOttiFhzGoVRuOjxpHo2oCs5/ZuWx94MQ5Dz86NarHmQWT6NJYYIlwoYITD7w4cNsdbS1N1s8bSm89cSXCkiRxz8Efq2P25OQVMH+yBWMG6Yndg+kTwc7NdwkJjmf4aAOmz7GkqsAS4ZiwRPauuILb/SeY9OvEbwfn0bDZmyfJcnMKCAtJLPZ4fHwyAHl5eX94vHz58pR/wxOktrY2gwYNYu3atcU+59y5c2hoaLBp0yaSk5OZN2/eG43xPhKTncEab2uuyWjX2/nQlUPeXjTT1pbFrnfOs8iuV66MeLsegINvCBvP2xGXksmM/gbM7G+IpsgS4ZfsegN7dmDhVEtq1xDYqPAlu55ut2ZYHZ5LS4F3sPNy8jmz6wEX9tpQt3ENlh2aj2Gv9m/8exQK1SvjDRQ1mlcqle8cc9Tx5u/JVyo4GPCQHX5Ostn1rgYFsNbRniw57Xo3bAmKT5TNrrf5gh12j0PoqavD1k9H0ERGu96ulZPoItiud/mcO8cPFtn1fvxtJL36iUuwSJKEw41HHFh9jcy0HCZ/NYCRs3ugUfHNlxppqdnkZhcfc1JTslGpVOp4I5Df7Xox2Rks6NBdVrve6HYd+N7MQrhdb8NdB675BMhm1zt4251j9z1pULMa2z8biVknsTetb1j7sfekQ5Fdb05vhvXtIvSm9UPXYKy23iUuJk0Wu154UJFd75HTM3qO6MbsH4ZR5y16E+Zk57/yGic6MgV4P9ZUH0RiJyornVXe1tyKCKBHg5bsNB+FTnVxezAz8vPZ7u7CER9vdGrU5MSocZg0EbcHs1Cp5LT7Y3ZYF+3BXDmqH8N1xe7BtPUJZvMFe5LSs5k5wJDp/QyoJLBEOCA4jq0HrPELimFI787Mn2xOTW2BVUjx6ezb+QDb+0/pZtiCPUfm07yluICek5XHqe33uHzQjobNa7Py2EK6WbR969/n/ySaeVP3FHs8vyADhUKBpuYfk1RLlizht99+e+txiyMqKorQ0FB27NhBaGgoo0aNwtvbu8TH+Tfwu11v9xNX6mhqyW7X+8HcUrhdzz00klU3bAmWya4XFpfCxvN2OD353a43moa1BPa1yshh/yknrn7odr0118jJymPGfwYzfIYFFd4yhqelZL0y3gCEhSRy8uRJBg/+o8lPRMz5mOJNadv1xnboxHcy2vW6t2wii13vwC03Tlh707h29VKx6w3q1VHoAsvN+Tm7t90lPi6d8ZNNmDBNrF0v5GmRXc/XrciuN2vxUGrVe/sYfvemD1fPPyn2eGiUOzXqpctyjfMxxRv4q13vaO+JNBFs19vk6sxpv8d0rluPC+MmoddA4JYdRZFdb7edO9U1K8li17v9MJCtlxzIlsmu9zggmi0HrAkOS2DUwK7MHm9KNYH68uioFHZvu4er4zNMLdqwYv0EsXa99ByOb77N9WNOtGzfkPXnvqCT4ds3f3/sHc7N88Vf42TlxJOZmflerKne68ROrqIQqycu7PV3o0HlquzvMZbejQQ2nZMkzj31Y4OzI0pJxa+WvZjUqYvQRoXOweGsumFLREoa00268UlPY7QqCjw5xyaz4Zwtrv4R9Ndvw1ejLWhQU2AVUno2e086cv2BLx3bNGTfmqm0ayW2UeH5k66cPuZMjZpaLF0zDhMLcds8VCoV1pc8ObjmGoX5Cub+NJwhU80o/45VSO07NmL2hgXFHo+Pj6Nn7+1kZmb+4fHiMstKpZIePXr85fEuXbqwa9euf5xP1apV6datGwAtWrQgLi6OzMxMqlb9cKxekiRx+4VdLyU/h887mQq36/nExbLUzgaf+NgXdj0zalWWz663acIQWgq26+2/6cYpa2+a168h3q6nVHHlziP2nS4du96EaaaMn2Ii1K733C8Sq9+K7Hr9xhkx8z/vbtfTrlmFfceLjzcAI0ZeYPLkyezbt+8Pj/9dzFHHm9ejNOx6G10cOfvEF736Dbg0YQpd6ok7H+cVKjjk5Mk+e3dqyWXXe+jPtkuO5BUo+GqUOeN6iE2Sez+JZMsBa9nselERyVhtvYe7y3MserZj9Waxdr2M1GyObrzFrZPOtOrchE0Xv6J9t+bv/Hv7D9Zl2EjzYo/v2JlDVnYKDg4Of3hcHW/enszCfLb5OhbZ9arV4kSfSZjWby5sPIVKxUlfHza5Oslm17MJCGHtbTsSMuW36w036cjnI8yE2/Wsjtlzz8Ef/c5NObRxOi2bCrxp/ZJdr35DbVZvnoSBsY6w8V6265UpW4YvVo6j3zijd06Sd9FrxpKlk4o9Hhjoz+y5F0lISPjD4//GNdV7mdiRJInr4f6s9rYmoyCfr7tYMLOtgdAFlmdsNEvtbHiamMCUzrp83d0U7Urisp+RKWmsvW3PA/9gerZtwY4pw2leS2Cjwuw89txw4aydDzoNa7Pvm3HotxbYqLBQyYVb3hw654xmJQ1++WIw/S3F7tt1tA1gz/b7pKfnMHmmOWMmGL9VifDrEvgoHKvfLhHkE8GgSd2Z9u1gtEuoE7xmZY1XVhhpVCoEoFKl1ytjL1euHI6Ojm80B4VCQWJiIg0aNMDCwoLTp08DkJ2djYaGxgd10ROQmsByz/s4x4czonlHfhBs10vMzmadswMX/J9g2LAR1yZN+/Dseq5P2HHZCYVSybfjejDGQmyjQo/HRXa9yNhUxg/RZ8bY7mhVFrfAKg273pENN7lzxo12es3YfHkRbXVLppK0fPmy/1jRqFGxPOXKlXutmKOON68moyCPrb6OHA30pLV2bU73nYJxPbFVwUcfP2KbmwuVK1SQxa537+lz1t22JyU7hwUy2/VGmnXi8+Fmwu16O4/aYeMShFFXGex62fmcOOTApbPuNG5ai3XbpqBnIHCbx+92vc13qFChHIvWTqTPmJKz62nX0KJeveJjTo2aWuTkpqnjTQmgkiQuhPiy7pEthSolv+r3ZXJrsXY9x4hwltvbEJaWyqyu3fjMsDtVBerLgxOSWX3LDqfn4Qzs1IZDMtr1OjWXwa5XoODU1Yf/s+ut/H4ElrLa9XozfIyBcLvenqWXCH8Wx/AZFkz+cgBVqpfMOryyVsVXXuNk5cQD78ea6r1L7PinxLPaz4GHiZGMbdmZ77v2pI6muD2YcVmZrHVy4EqgPyaNm3B90jTa1RaX/czOL2Cf/UMOOXvSSLsa+6aPwrx1c2HjKVUqLjv5sfOqMwA/TOzNSDOxjQpdvUPZdtCG2IR0Jg43YNpoY6H68tDgBHZtvsMjr3D6DOjE3E97U1tgJ/iUhAwOr7vBvfPudDJqyfbr36LTUdw+ejnYtGkT4eHhHD58mEqVKtG1a1ccHR3Zvn07Fy5cYMiQIdjZ2bFkyRLi4+PZv39/aU+5xFjmcY8zEU9ksesVKJUcflRk16tasaKsdr303Dx57HohMaw/a0tARAJjLLrwyTCxdr2Y+DR2HLHD3u0ZpvotWfW9WLteVmYeRw/Yc+XCQ5rLYNdTFCqL7HpbblPpX27Xe10+5nhz+vkjtge4ArDUsL9wu559eBjL7W2ITE//IO16SenZbL/iyDUX+ex6J6885Pgld+rUrMKaH0ZhZiCfXW/Bl/0YNlJfRrueJRM/749W1X+fXe91+ZjjjXdiFGv8HErNrrf7Q7Xr3XClkkb5D9aut3PzHQKeRjN4uB4z54u16yVEp3Jg1VXsbzxC37Idi7dPp+m/0K73JoiMOWUkSZIEzr3EyMvLQ1NTk+aHlqFbvwlLDPqhV1vcYjlfoeCAtye7PNyoUUmTnyx6MFBH7B7MG48D2XDXgez8Aj7rbcIUY8Elws+jWX/WlmfRiYzv0ZUFQ7pTTUvcyTkqNpXth21x8gjGwqgVn8/oSaP62sLGy8jI5eh+O65d9ESnTX0++7o/HTuL2+ZRWKDgyiF7Tm6/i1ZVTeb+NBzLoV1L/DOzcOFCmjVrxo8//ljsc2JiYtDR0SE3N7dEx/6Y+D3m6J1czw9G/YTa9QCsQ0NY4WBLbGamLHa9gNhEVt60wSMsmpF6Hfi6nxl1qwrUl6dlse2yIzfc/DFo05jvxvWkTWOBjQrzCjh20Z3TVx9Sv051vpzdS7hd7871RxzcY4skScxa0JNBw/Tks+vN7cWEz0rernfr1i2WLl2Kq6vrK59naGjIypUr6d+/f4mO/7Hwe7xpcWgZMzt1l8Wut8rBjvuhwfRrqcNP5j1ppq0tbLw/2/V+HtJLuF3vlI03+266UUVTg0WjLIXb9Wxcgth5xJaMrDxmjO3O+KH6Yu16flHs2nyXZ4GxDBnRjZnzZbTr9e7AvF9G0LhlySfJNDQ0iIyMpF694hdvK1euJDo6+rW2Naj5K7/Hm6YHl2LaRIf/6vcTatfLKSxkt4c7e70e0qhqNX617EVPGe16X/UxZZxBZ9nselNf6MvF2vWS2HrQGk/fCPpZtOeTaZbUldGu9+mi/kLtevl5BZzfY8M5qwfUrFed+b+OEGLXGz9+PH369GHBguK3m/v5+TFgwACio6NLdGwRvHcVO6uMBzKhnYHQPZj3Qp6zysGOhJxsFuobMV/fQGijwifR8ay8acOjyFhGd+vE133NqFVF4Mk5JZOtlxy44xGIcbumnPllGi0biCsRzskt4Mh5V85e96RR/eps/u9YDHWbCxtPqVBx44oXh/fZUa5sGRYtHkz/wbpCF1ju1k/Yu/wKiTFpjFnQi/ELe1NJ4DYPNfJxe8hc6lbTFvb7Q1JTWG5vi114KAN1WnN05BgaVxO3ZafIrufMOQ9fOjasy+n5E9FtIvDk/Ce73rp5Q+ijJzZJfs8xAKujduTkFTBvsjljB3WTz643yoDpc98Pu56afx9XB82iUz1xd5Rftus1rV6dIyPHYNG0ubDxFEoVZz1e2PXKluG34X0Y3a2j0AXW73a9+NRMpvcTb9d7HpbIloMPePTkhV1viiW1a4q16x2wsub+bd9SsestPTQPo14dhI2nRj62mo1gROsu8tj1Cgr41sSMGbrdZLPrTTLS5XMZ7Hqbztth7yuTXS8rj4NnnLh0+xE6zeqwc8VEdNuLbZ3xu12vslZFflo6ip59O4htnXHLh/0rr5KRms3kL/szck5Poa0zPiTeu3+lUS06C0vqPEtOZrm9DY6R4Qxt3ZbF5pY0qipuy05yVg6b7ztx0csP3cYNOLdgMh0bCTw5Fyg4dt+DQ7cfUqtaZTYuGEZPXbGNCu/YP2X3cXvy8xV8Ms2S0QO7Ct2D6eMVxs7Nd4kIS2LkOEOmzbZAq4rAKqTgBPYsv4yHrT9mg7qw8uhC6jUR12xWjfxU0xDz+XnZrtdSBrueQqni9EMftj+Qz65n9ziETeftZLPrBYbEs+WANX6B0bLY9RITMti74z6295+iZ9BcFrve6R33uHTQjgZN392up+bfR6vqYhJ0KknicsBT1jk7kFuoYLG5JVPVdr13Ij0zl32nHLl6r8iut3v1ZDq1EWjzKVBw8Yw7J484UrVqJVnsenZXvdm/+mqJ2PXU/PsY2FTcVm+/hHiWymjXi3th17vxwq538dOptBFo18vJK+DAbXeOP/Cice3q7PxiNCYdxG27VipVXLv/mH2nnChTBr5b0I/BvTqp7Xpq/oA6OgMZ+XlscXPhmI83bWvV5vSYCRg1EthHQ6HkpNsjdtq4UlmjAmvHDGRoF7EnZ2vv52y+aE9KZg5zBhkzta/YRoVPn8Wy5YA1/s9jGd5Pl7kTzaghsEQ4PjaNPTse4GDjj2F3HX5ZPpqmzQXqUjNyObn9LlcO2dNEpx5rTn6KrmlrYeP9mdzsfMKDYos9Hh8fL9tc1LwZKkni/FM/1sto13MJjmDVTVvCk1OZbtKNhT2MqCJwgVVk17PD1T/8g7fradfUYsnqsZhZirtAVqlU2Fz25OCa6+TnFjDnh2EMnWb+zna910WpUL4y3gAU5BXKMhc1b45PfBzL7Kx5FCefXW/DbXtuy23Xs/Gmeb0a7P5qDEbtxCbJr9x5xP4zzmiULyeLXc/V6Rm7t94jOSlTNrve7qWXeOpRcna9NyE9OYu8dFWxx9OSMos9pqZ0ScrJYZOLI2dKya63bdIw+spo1/typDnje4q36209aE1oZOnY9VZtmkQDgb0J01OyOLrxFrdPuZSoXe91ycnKe+U1TkxYomxzeVc+6sSOUqXi7FM/NjoXda5e1qsv4zuIbRzs8CyM1TdtiU7LYKZpN+ZbGgnVlz+LTmL9WVs8giIZZNSOr0ZZUFdbXIlwcmo2e07Yc9PmCbrtG3Ng3TTatBRYhZRXyJnjzpw97kLtulVZvn4CxqYiO8GruHf+IYfXXUdRqGLBf0cxeLIJ5QRWIf0dAd7hLDy+rtjjeYosGWej5nXxio1hqZ01TxITmNypC193N6OGprgtO1Gp6ay9Zc99/+f0aNOC7ZOHCbXrZebksfu6K2ftHsli11MoXtj1zrpQqVIF2ex6e3fcJy01h0kzzBg7sbtYu55PBLt/u0jgowgGTuzO9O9Kzq73uqQmZrKwf/HxBiAsNk6m2ah5XV626xk0bMTViVPpWFfc+Ti3oJADjh7sd3hIvWpV2DVlOD3bim0c/LJd75uxPRgrp11vqD4zxgi264UlYbXlLp7uIfTo04H1n02V1a635coi2nQRlyQrjnvn3bl+0L3Y48Hp7vSdpCvjjNT8E4VKJcceP2KrmwuaFcqzod8gRrRrL7Z1xkt2vfmWRswy0xd60/pJWBzrztriFxbLSLNOfDbMjJrVZLLr6TZn6dcfnl3vxglnjm26TYUK5fhqzQT6jjUsMbve6+LrGszd7cVf42QWJMF74qP4aBM77tFRLLe3ISApkWm6enxlZEL119SYvQ3hyWmsuWWLbWAofdrrsGfaSJrU1BY2Xnp2HlbXnDlv/5i2Tepw6LsJ6OoIbFRYqOTcDU8On3elilZFln4zlN6mYm0+9tb+7Nlxn6zMPKbPtWTUeCM0BJYI+3uGYbX0IsF+UQyeYsq0bwZRTWAn+NjQeI7+dpbFR774y7F2es2Ys7n4Rl/x8XH06H9c2NzUvBnxWVmsdbLncqA/3Rs14dqkabQXaNfLKShkr707h5yK7Hp7p4/CQi67niSxeGJvRgm267k/CmPrQWti4mW06225yyPPMPr078Tcz2Sw662/wb1z7nQ0bMG2a9/QqpO4JFleTj7n1l9l2pJxfzlWo05Vdp/8/pWvHz7GRtTU1Lwhf7TrabB14BCGCrbr3fYLYv0Lu95nvUyYYSrWrvc4JJb1Z23w/4DtescO2nPlvAfNWtaR1a5XUVOD7zZNptdIfaGfGafL7gQ+DGbOqsl/Od5vrBFDJ/Ys9vU7rLaSnZ8hZG5q3hyHF3a9iPR05nTT51MDY7F2vfgkVt+0xTUkkqFd2vFtf3PqVxdXUZaUns2OK05cdXlCV52GHP9hMu2bCrxpXQp2vXu3HnPAyhpFoTx2vUfOz9iz9BJRIQmy2PUiAqI5ueoCPxz98i/HOnfXYcnK8cW+NjAogFkLrIXNrST56BI7MZkZrHGy53pQIOZNmnFz8gxa1xKY/cwvYLedG0ecvWlWS5sDM0djqiPw5KxUccnRl13XnClbpgy/TOnLcBNxJcIAzp7BbDtkS0JyJpOHGzB1tDGVBJYIBz+LZ9eWOzz2jqDfoM7M+aQ3tWqLC+jJ8ekcWnudBxc96NK9FTtufEeL9uKSZLnZeZxefYlzG69Rv/nfL/41tSrSrE3xDW8rVHkvZHcfPPkKBQcfebLzYZFdb8egYQxqJZ9d7+u+Zkw27oqGwIqyP9r1dFkwxES4XW/HEVscHwZjYdiKdT+Nlseud8kTnVb12LJnhni73mEHTm67g1ZVTRZvnUaP4Xpik+TnXNj7/TEyU7L+NrFTrny5V8YbAI1K4mK+mtfnz3a9BfpGVBZs11t105aHYVGM6Nqeb/qbC7frbb3kwE33APRbN+bkT1Nks+vVq1ON9T+NxkS/pbDxfrfrHdpji0qS+OybAQweLp9db/Scnkz4rC+VBfYmDPWLwOrrw3g/8KXPFIu/fU71WlVeacXSrl2V7Gh1Yqe0CU9LY6WD7f/sevuGjRJq10vP/X+7Xtv6dTgxdzzdmokzJL9s19OqpMHq2YNltevNHm8iu11vxrweVNcWa9fbv/IqTrcfY9irPT9bzRRi1/udrLRsji87x+Udt2nW4e9vjlWuUumV1ziZBcmiplfifDSJnTxFIfu8PLDycKduZS32DBlB35Zi92Be9XnKxruOFCiU/GeABRONugjdg+kRFMn6s7aExqYwsVdX5g3pTlVNcSXCEdEpbDtkg6t3KD1N2rD5v2NpUFdgo8K0HA7tteXWVW/atGvAtn2zaN9RXEAvyCvk0gE7Tu+8R7UaWvxsNROzgWLtATanHNm3+Dg5mbnMXjmJEZ8PFDKWGrFIksT9kGBWOtjKZ9eLiWfVDVu8I2MY3a0Ti/qaUruKuIqy+NRMtl504PYLu97pn6ei01Bgo0K57XpKFTeveHNory3lypVl0feDGTCkq9Akudx2vWCfMHYtOsRju6f0m96DOaunCBtLjVhK2653av5Eugq06xUUKjhh7cX+Wx+PXW/aXEuqyWTX6963E78dmEvDYm4mlQQZKZkcXXKWa7vvoqPbjM0Oy+lk1k7YeGrEkVVQwK6Hbhz09iyy640Yg0Wz5sLGU6r+365XtkwZlgwTb9dz9Atl4zk7YlMymN7PgFkDPly7Xhe9puw6NBed1mLtemetHnB+jzx2PaVSyZ1Dthz6+SQqlcRn22YzeF4fYeP9W/jgEzuSJHE7+BmrHOxIzcvlc8PuzNHTp6LIEuGoOFbesME3Oo7xBp35so8pNbXEZT9jkjPYetGee17PMO3QnDVzh9CivrhGhVnZ+Rw+78K5G140b1STbb+Np1tncXuwlQoV1y55cmS/HRoa5fn2p6H0HdhFaKNCt/tP2LP8MqkJGYz/tC9j5vekYiWBvZC8Qtj51UGeOgcxYFYvZq+cRI162sLGUyOO5ynJLLOT16635b4TF2S06x2/78nBO+7UqiqPXe+u/VOs5LTreYeza/MdwkNlsuuFJLBnmXx2vfSkDA7/epqb++7TxkCHbS6raG8sX/N3NSVH5gu73mEZ7XpnHj5mu7UzFcqVY8XIfozoKtauZ/9CX56U9uHa9fbtfIDNvSfoGTRn9+F5tNARdwc7Nzuf0zvucfGALQ2a1mbF0QXoW4pLsCiVSm7uvc/h/56hbNkyfGU1nwGzelJO4I1ONWJQSRJXAvxZ62wvo10vitU3bXmekMyU7l35tKcx1QTqy/9s19v55agPz6532o2TR51ktesdWHON7MxcWex6fk4B7PrqIME+4Qz/ZADTfhtHtZryNX8vTT7oxE5AUiLL7W1wiYpkRNv2LDazoH4VcX/YhMwsNt9z4rL3U/SbNeL8wil0aCjw5FxQyJG7Hhy5+5A62lXY8ukILDq1ENsJ3saPPSccUCpVfDW7F8P76QptVOjlEYrV5rtERSYzeoIxk2eaoyWwE3zE83j2LL2El0MglkP1mPPjMOo2ErePPjUhnYM/neTOIRvad2/NdrfVtDXQETbe23Djxg2uXLlC69at8fb2ZsWKFbRs+fel6OfPn2fatGnk5ubKPMvS52W7XhsZ7HqFSiUn3HzYZeNKpQrl5bHrPXrO5gsv7HoDxdv1/J8X2fWePotlWN8uzJtkLtyut3fnA+yti+x6Py8TbNfLzOPUC7te45Z1WX3yU7oKtOspFUquWd3lyJIzVKhYnm/2f0K/6T1kb1T4KtTx5vV42a6nUKn4xaInkzvrymbXm2aixyc9jGWz6/XTb8OiRR+WXa8gX8G5ky6lZtebvXgYw6aLtev52D1h11eHCH8axcjPBzL1v+OoIjBJ9qao483r4xMfx1Jba3zi5bfrmbVqxoZxg9CpK651RlZuPvtKya5XoXxZfvhkAAN7irXruTg+Y8+2eyQlZjJxminjpphQSeA26ud+UexeepEnD0P/Z9erWVdcDE+MSmbf4mPYnHKia+9O7PZeT4tO8jd/fxWiY84HmdhJy8tls6szJ3x96FCnLufGTUS/gcAtOwoFR128sbJ1o7pmJTaOH8ygTmL3YN7zCmLLBQcycvJYMNSEyb30hO7B9AuMYcuBBwSFJjCif5G+vHpVcSXCsTGp7Nl+Hye7QIxNW7Fk9VgaNxUY0NNzObH1NteOOtKsdX3WnfmczsbiEiyFBYVc2XGbY8vOoVmlEt8f+Zw+UyyEfWbehaioKFatWkXt2rU5d+4cy5Yt4/Dhw395XmxsLJ6enkjSx9Xf52W7noTE0p59mNCxs9gS4WdhrL5pR2RqOrPN9JlnaSjcrrfhnC0PA4vsel+ONKdeDYF9rUrBrnfuRNECq3adqixbN57uZuK2eahUKu6ff8jhdTcoLFQy/9eRwu16Xg98sVp0iKigGEYvGsrkn0ejJdDm8bao480/87Jdb9KLBZacdr1tk4bRorZYu96eG66ctfWhZcNa7Pt6HPpt5LXr9bNoL3SB5WgXyN7t90hLzWHidDPGTfqw7HoJEYns+c8x7M+5YDBAl59OLaJZe3F/w7dFHW/+mT/b9a5MnEqnD8yud831KTuuOFKokMeu5+kbwdaD1kTEpDB+iD4zxoq160WEJWG19S4ebi/setsF2/WSsziy4QZ3TrvRtmtTtlz5mra64hIsBXkFnNtwjdNrLqFdtxpLLnyH2Uijj3JN9UEldhQqFaf8HrPZ1YlyZcqysnc/xnXoJEy1B2AbGMLqm3bEZ2Qyx9yAuRaGaGqIy34GRiaw/pwtXs+iGda9A5+PNKNOdYF7MFOysDpmzx37p+h1bMLB9dNpJXAPdm5uAaePOnHulCv16ldn5caJGJm0EjaeUqnizhlXjmy4CRJ8unQMAyZ2F9qo8OGdR1h9fZi4kHjGfjuMST+OQlOgzeNdWbDg/+1bKpUKLa2/v9u2YsUK1q5dy+bNm+WaWqnzB7tel658ZWwq3K639pYdNoEh9Gmvw+5pI4Tb9XZfd+G8vQ9tGn+gdj0bf/Zuv09mZh7T5lgyesKHZ9fb891RnC65YzykG0su/ofGrcX1QnlX1PGmeErTrtewejX2TBuJZRuB6luViivOT9h5xQlJkvh+Qk9GmYtNkrs/CmPbIWui4+S36/Xu35G5n/ahjsA72KVh1zu77gpn1l2mdqOaLLuymO5Dxdm13hV1vCmeAqWSIz5ebHf7WOx6nVk4zJQagu16O4/YYffCrrfiP8Np2lBg64zMPI4fdODy+Yc0a1GbDTunoSujXe/bjZPoNVJfWFWwJEk4XnJn73dHSEvIYOKPoxj37TA0BLbOeFdEx5wPJrHjGhXJUjtrglNTmKGrxxdGJlSrKC77GZqYwupbdjg8C6N/h1YcnDmaRjUENirMymXXVScuOfrRoVk9jnw/kc4txF2c5xcoOHvdk6MXXKleVZPl3w2jZ3exVUjWd/3Yv8uanJwCZi/oxYixhmIbFT4MYfdvFwkNiGXYNDOmfD2QqgK3eUQ/j2X3t0dwveaJ6QhDVlz7gYY6b17mXa5cOZ4FPifsSWSxz/H28aJ8+fLk5eX94fHy5ctT/i1PkiqVilOnTrFt27a/HNu9ezeTJk2iShVxScZ/Ey/b9cyaNOXG5Om0qSVwy05+AVa2bhx18aJpTXnsehcdfbF6Ydf7ebLarveuJMenc3DNNawvecpm1zuz5jJnN1ylXrParLzxE0aD9N7495QrV4642DgCPJ9RqZikZW5uLrExcZQpU6bEYo463vw/L9v1tCtVktWul5VfwKK+ZkyR0a43zlKXhUPF2/W2H7bFyaPIrrf2R3ntept3z6BTF3nsepWrVGLxtmn0GCbYrnfelb3/OfrCrjee0YuGoPEWMbx8+fL4PXpKbuOCYp/zxOcpNevWUMcbQdiEhbDC3pbozAwW6Bt+kHa9bZcdueHm/3HY9b5+YdcTqC/3tA9gz7LLxEYkyWbX27XoEI+s/eg92Zy5a6ZSp/Gb7+woV64cQf7PXrmmeujg+d6sqd77xE50RgarHO249TyIHs2as2PQUHRqituyk5mXj5WtG8dcvGlZpyaHZ43FuKXAk7NSyXm7x+y+7kLFCuVYMq0fQ4zFNip0fBjM9sM2JKdmM3WUEZNHGFJR4AIrKCCWnZvv4O8XxYChXZm9oCc1BHaCT4xN4+Dqa9he9ULPvA27bn33jyrfdyEnM5eTKy9wccsNGujUY82dX9Dvp/vWv2/RokUY6hnifMSbJmX+ul0sR8rEAzt6D+yJ5p/K85csWcJvv/32l9colUp69Ojxl8e7dOnCrl27AFi8eDE//PADTZv+tZzSw8ODtLQ0HB0dUSqVrFmzhkmTJtGsmbjkQ2nwu11vt4c7tStrsXvIcPq1bCWLXS9foeS7ARZMMhLbqFB2u15MCtsP2eDiFUrP7q1lsesd3mfLzSvetG4rg10vX8HlA7ac2lFk1/tp1wzMB+mKteuddmL/4uNkp+cwa8UkRn4xkApvWUnas2dPqlaojoWBJV0wpWyZP14YqiQVPjgBZbC3t6d///5/OP53MUcdb14PSZJ4EBrMSgc74rOzZLfrjdLryNf9zNR2vXfgd7ve4X22lC1ThkXfD6b/YF2hVcHuNk/Zu/wyCVGpjF3YW7hdL+RxOLsWHcLH9gn9pvdg9qrJ1H6HKoTVq1czduwYOmQZU7nMX68FI6TnhBHAgi/mvdY1jjrevD4hqSmscLDFNqzIrndEtF0vJ5dtD5w5+7DIrnd6/kR0ZbLrVdeqJItd775jALuO2pGdK5Nd73EkOzfdkc+uF57EvuVXcL3vV2TX2z9HqF0vMzWLo0vOctXqDi27NGOz/TI6mbd/69+3ePFizE3MubvVgfpl/vr9z5TS8MKeoaOGvB9rKqmUOHPmjPTtt99Kn3zyiWRnZ/ePz8/NzZUAKTc3V5IkScopKJA2uzhJ7XZskXoe3i/dD3kuqVQqYfNVKlXSeQ9fyWz1bsl45U7puKu3VKhQChtPkiTJ1T9cGrv0iGT42RZpy0V7KSs3X+h4oZFJ0tdLz0lmo9dL/914TYpLTBc6XkpylrRx1TWpn+ly6ct5h6RA/xih4+Xl5ksnt92RRrT7Xpppvkxyuv1Y8GdGKd09aiuNbzhPGqE9Xbqw5bpUWFBYIr/bx8dHqlmzpnTkyJE/PB4RESE1bdpUWrlypVRYWCjl5ub+4aew8O3G/+GHHyQHBwdJkiTp0qVLkiRJUmFhoRQT89e/WcWKFd9qDJG8abyRpD/GHJVKJd16FiRZHNorddi5Rdrh7irlveW/5eviExkrjd99Umr/6ybpv5fvSclZ2ULHi05Kl77fe03SW7hJ+mzbRSkkNlnoeFnZedKOwzZSj/EbpWmLDkkej8OFjqcoVEqXzrpLI/uvl8YN2STdvv5IUirFff9VKpXkctdXmmW5QhrR9j/S8c23pDzBMTzIM1haZPGL1K/sOGnD7J1SSlxqifzerKwsydzcXJowYYKkUCj+93hhYaE0ZswYydLSUsrOzi6xmPOxxxtJkqRnyUnS9EvnpBZbN0hf3LwmRWWIPR8nZWZLv16+K7X/dZM0cc8pyTcqVuh4ufmF0r4brpLJl9ukoT/vl6y9nwm/hrtl4ycNn7NLGjB1m3TmmodUWKj45xe+A4+8wqT50/dKA8xXSlZb7kqZGblCx4sMjpd+nblHGthskbR8wUEpNiJJ6HjpSRnS1k/2Sv3LjZM+NVwsPXEJLLHfvXTpUql58+ZSVFTUHx4/dOiQVKtWLcnX11cdb17iXddUGXl50ioHW6nN9k3SgOOHJacIsefjQoVSOu7iLRmv3CmZr9ktXfT0E34+tn30XBr26wHJ5Itt0p7rLlJuvthruMDgOOmTn09K5mPWS6t23JKSU7OEjpcQny6tWnJR6muyXPrPF8ekkOfxQsfLycqTDq29Lg1t/a00r89qycPOX+h4CoVCump1Rxpde5Y0ps4s6cbee3+4HnkXnJycpOrVq0uXL1/+w+MBAQFS3bp1pZ07d743a6pSSeykp6dLenp6kkqlknJycqSOHTtKSuWrkyS/B6GcnBzpemCAZHpgj9Rp11Zpt4eb8AWWV3i0NNbqhNTh183S0qsPpJTsHKHjRSWmSd/svirpLdwkfbHjkhQenyJ0vIysXGnLgQeS5dgN0oxvDkvefhFCxysoUEjnTrpIw/uukyYM2yLduyU2waJSqSSHm4+kGWbLpBHtvpdObr8r5ecWCBtPkiTJ3y1I+rz7j1K/suOkzfN3S6kJaSU+houLi1S9enXp4sWLkiRJUlxcnNSmTRtp8eLFJfrvuXnzZqlRo0ZSjx49pB49eki9evWSJEmSbGxspNGjR//veTk5OdLy5cul8uXLS8uXL5fy8vJKbA7vwtvEG0n6/5jzKDJCmnzhrNRi6wbpq9vXpdjMDKHzTcjIkn68cFtq98smacq+09KTaMEn5/wCaddVJ6n7F1ul4b8elGx9xCfJr91/LA2dtVMaOH27dP6Gp/AkuefDEGnu5N3SQIuV0p7t96SsLLGfzfBncdJPU62kgc0WSas+PSzFR4mN4SnxadLGuVZSv7LjpC9MfpQC3J+V+BhpaWlSt27dpDlz5kgqlUpSKpXSzJkzJQMDAyk9veSSDh97vIlPS5WW2llLrbZtlAafOCK5RUUKnW+BQiEdcvKUDFfslCzX7pEuez8RvsC67xUkDfl5v2Ty5TZp301XKa+EbngUx9NnMdL8H45L5mPWS2t23ZFS0sQmyeNj06Tlv1yQ+posl35YdEIKC00UOl5WRq60b+UVaWirb6UF/dZI3k5BQsdTFCqkS9tuSqNqzpDG1Z8j3Tpo/Vqf8TdBpVJJ3377rdSuXTspISFBkiRJOnfunKStrS25u7uX2Djve7yRpHdbU2Xn5Ehnn/hKhvt2SV1375COPPKSCkv4b/lnnJ+HS0O3HZE6L9kirbttJ2Xmiv23DI5Jkj7ZekHSW7hJ+n7fdSkmWfBN67Rsac2uO5L5mPXS/B+OS0+fib1pnZ9XKB0/5CAN7bVGmjp6m2Rv4y/8pvX9C+7SZMP/SmM6/SBd3G8rFRYITpLb+knzdb+VBlSYIO1adEjKFJAku3v3rlStWjXp3r17kiRJUlhYmNS4cWNpzZo1JTqO6JhTKomdu3fvShMnTvzf/xsZGUlBQa8+Ef0ehMaeOCq12LpB+u7uLSk+K1PoPOPTM6X/nLsptftlkzT9wFkpIDZB6Hg5eQXSjsuOkvHnW6WR/z0kOfqGCB1PoVBKV+76SENm7pAGz9ghXbrzSFIIXmC5uzyXZk3YJQ2yXCXtt3og5WSLvYMd4h8tLZ60UxrYbJG09qtjUmJsqtDxkmNTpHWzdkh9y4yVFln8Ij3zEvs3fPDggVStWjXpzJkzUpcuXaRPPvlEaEB/H3mbeCNJ/x9zWmxcIw07eVR6GB31j695F/ILFdJ+h4eS/vIdUs91e6XrPgHCE553PAKkQT/uk8y+2i4duuMu5QteYPkGRktzvz8mWYzdIG3Ye09KyxCbJI+JTpGW/HBW6muyXPr521NSZLjYO9iZaTnS7qUXpSE630ifDlwn+biUfILlZQoLCqXzm65JI7SnSxMazZPuHbMT+plJTEyUOnToIC1atEj68ssvpY4dO0pJSWL/Td833jXe6O3YInXbs0M6/viRpBC8wHJ8FiYN3nJY6rxkq7TproOUlSf2fPwsKlGav/mcpLdwk/TTgZtSXIrYJHlyapa0csctyWz0eumTn09KAcFxQsfLzS2Qju63k4b0XC1NH7tDcnYIFL7AunPGVZqk/6s0tstP0pXD9pJCcBWS14PH0tzOX0sDNSZIe/9zVMpKF5ckU6lU0rx586SuXbtKp06dkqpVqybZ2toKG+995V3WVEOPHpR0tm2UfrG+JyXniE14RqakSZ+fuCq1+2WTtODoJSkkUfBN6+xcacM5W8nw0y3ShBXHJI9AsUnywkKFdOaahzRg6jZp+Jxd0i0b8VVIDrb+0tQx26WhvdZIxw85SPl5Yq/hAh6FS1+P2iINav61tOWH01JqkuB1eHiCtHzCRqlvmbHSDwOXS2FPxf4NL1269L8b5q1atZJ++uknoeOJoFR67CQlJf2hIVDVqlVJSkqidevW/3tMoVCgUCj+9/+/O9xzcnM5NXw0uvWL9mD+uZFRSbL62gO8I2NZN7IvfTu0+tvGkCXJKRtvTt1/yLxBRoy31KVC+XJCx3scEMV6q5sM79+VGWO7U61KJQoLCygsFDNeRnoOS344hZ5+c35ZMYKGjWsCKmHvUZIkVn1xiAoVyrHyxHw66BfZPET+m+75/iiPbHz57vAnWI4zKbHPTMWKFf92D3Dv3r05fvw4o0ePZtKkSezYseNfa58oLV4n3kDxMednE3Mm6upRrmxZoZ+dO35BbLltx0yzbswyM6CyRgXy8/OFjReRkMpPe68xwKAtC4ebUKd6FVRKBXlKxT+/+C0oKFTww6rzNGlYA6sV49FpVrQHW+S/6abVV4iLS+e/q0Zh2F1H+Hinre5w74Ibc34aQv8JRXY9keO5XPNg7w9HGfXVYCZ8PwLNKpol8pkpLt7Url2be/fuYWFhQZkyZXBwcKBWLXE97d5H3jXeDGjWgkXmllSvVInCggIEnY5Jzcnl86MXMW7RhM3jBtC0pjZIYs/HP+y9QrmyZbH6Yji6LYv6Won8fuw4/AAPn3B++rQfvUzbCL+Gu3HFi9PHHZgw1ZSR4wzR0CgvNIY/841g0+KTDJhgzJSvBlCthhaFikIKFWI+Ndnp2fw6ag0dTduw+MTnNG5d1Pxd1DVOmTJlsLKyYtq0aUyfPp0rV678bd+Kj513WVNpqFScHzmWdnXqAmK/j/+9cJuo1Ay2jh+EZevmwsc7dMuFq46+LBppwgizTsKv4Zw8gtlx+AHjBusxZVSRXa+gQNz3Pz42jWU/n8G8ZztmzR9PnbrVUEkK8vLEXMMpCpUsX7iPWvW1WX/+E3Q6FvWXFflvuvXzvYQ/ieSns1/RfYi+8DXVyJEj2bFjB2PGjOGzzz5jxYoV7zyW7JRGNul1sstLliyRAPWP+kf9w//vgy6OhISEt97r+aHzunez1DFH/aP+Kfr5p3iTmZkpZWaKvVP3vqKON+of9c+b/7wq5hQWFkqJiWK3s73PqNdU6h/1z5v9/NM1TlxcXIlvL5WLMpIkSchMRkYGPXv2xNPTk7y8PAwNDXn8+PEfPPd/zi7n5ORQq1YtUlJS/tKV+kMmLy+PGjVqkJqaWqxq9kNE/b7/+L6Lyy6r+WdeJ96AOub8zsf43fsY3zOo440I1PHmzVB/99TvG9Qx511Qr6leH/X3Tv2+4cOON6WyFatatWr88MMPfPPNN+Tk5LBz586/XPQU54bX1NT8qD6Uv1OpUiX1+/6I+FjftwheJ96AOub8mY/xM/gxvmf4eN+3CNTx5u34WD+D6vet5l1Rr6nenI/186d+3x8+pVKx8zbk5eWhqalJbm7uR/PHAfX7Vr9vNaXFx/q3+Bjf98f4nuHjfd//Rj7Wv4X6favftxr5+Vj/Dur3rX7fHzp/vY2kRo0aNWrUqFGjRo0aNWrUqFGj5r3gvUnslC9fniVLlvxtKeGHjPp9q9+3mtLhY/1bfIzv+2N8z/Dxvu9/Ix/r30L9vtXvW438fKx/B/X7Vr/vD533ZiuWGjVq1KhRo0aNGjVq1KhRo0aNmj/y3lTsqFGjRo0aNWrUqFGjRo0aNWrUqPkj6sSOGjVq1KhRo0aNGjVq1KhRo0bNe8p7s+ns7NmzuLu7k5OTw8SJE7G0tCztKQnnyZMnfPbZZwwcOJAffvihtKcjG8HBwSxZsoSuXbvy9OlTxo8fz8CBA0t7WsLJzc1l0qRJ/F979+9S5d/Hcfzlt9shj1FQU00VYUNEi0QE1SAuEUEEUZtkDf4h0dQS0dLaoBA0Ff4BIWI1RD8wCKRBKiWpNGuwcw839xdubvrScq6Pl5/HYzvba/A8hzeX1zlx4kTm5+dz8uTJXL16tfSsKtXYm6TO5uiN3mwGNTZHb+rpTaI5m4ne1NGbpN7m1NqbVrxj5+vXrzlz5kyePXuWHz9+ZHh4OC9evMhff23tB44mJyfz8uXLdDqdqiI0NzeXlZWVjI6OZmlpKcPDw1lYWCg9q+fW1tYyNTWVsbGxrK+vZ9++ffn8+XPpWdWptTdJnc3RG70prdbm6E09vUk0Z7PQm3p6k9TbnFp704pv8ezsbIaGhtLX15ft27en0+nk3bt3pWf13KVLl7Jt27bSMxo3PDyc0dHRJMmvX7/S6XQKL2pGp9PJ2NhYkmRhYSGHDh0qvKhOtfYmqbM5eqM3pdXaHL2ppzeJ5mwWelOXWptTa29acdhZXl7O4ODg35937NiR5eXlgotoyu3bt3Pz5s3SMxp17969XL9+Pbdu3So9pUp6Uy+9oQTNqVONvUk0pzS9qVeNzamtN6047OzZsyerq6t/f/727Vv27NlTcBFNuH//fvbu3Ztz586VntKo8fHxTE9PZ3x8PB8/fiw9pzp6Uye90ZtSNKc+tfYm0ZzS9KZOtTantt604rBz/PjxzM/Pp9vtZn19PWtrazl48GDpWfTQ1NRUVlZWMjExkenp6ayvr5ee1HOvX7/O3NxckmRgYCCDg4P59OlT4VX10Zv66I3elKQ5damxN4nmbBZ6U58am1Nrb1rx8uTkP3+UMzMz+f79e65cuZLTp0+XntRzDx48yJ07d9Lf35+JiYmcP3++9KRGPH36NCMjIzl27FiS5P3793n+/Hl27dpVdFev/ffN9UeOHMmHDx8yMDCQGzdulJ5VpRp7k9TZHL3Rm82gxuboTT29STRnM9GbOnqT1NucWnvTmsMOAAAAAP+rFf+KBQAAAMD/c9gBAAAAaCmHHQAAAICWctgBAAAAaCmHHQAAAICWctgBAAAAaCmHHQAAAICWctgBAAAAaCmHHQAAAICWctjhj3S73UxOTpaeAVRAb4AmaQ7QFL2hVxx2+COvXr1KX19fHj58mNXV1dJzgC1Mb4AmaQ7QFL2hV/q63W639Ag2t8ePH+fAgQMZGhoqPQXY4vQGaJLmAE3RG3rJEzv8o7dv32ZpaUmAgJ7TG6BJmgM0RW/oNYcd/tHdu3dz+fLl0jOACugN0CTNAZqiN/Saww6/tbi4mI2NjfT395eeAmxxegM0SXOApugNTXDY4bdmZ2ezf//+0jOACugN0CTNAZqiNzTBYYff6na7efPmTekZQAX0BmiS5gBN0Rua4Fex+K0vX77k8OHDuXjxYq5du5ajR4+WngRsUXoDNElzgKboDU3wxA6/tXPnzszMzGRjYyMjIyM5e/ZsNjY2Ss8CtiC9AZqkOUBT9IYmeGKHP/Lz58+cOnUqjx49yu7du0vPAbYwvQGapDlAU/SGXvlX6QFsfk+ePMni4mIuXLggQEBP6Q3QJM0BmqI39JIndgAAAABayjt2AAAAAFrKYQcAAACgpRx2AAAAAFrKYQcAAACgpRx2AAAAAFrKYQcAAACgpRx2AAAAAFrKYQcAAACgpRx2AAAAAFrKYQcAAACgpf4Np93BVfrllJQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1151.64x767.758 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1151.64x767.758 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1151.64x767.758 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",
    "    chunk_size=40,\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": [
      "/home/fouriest/SCHOOL/Princeton/PPPL/DESC/desc/optimize/least_squares.py:351: 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: 6.189e-08\n",
      "         Total delta_x: 6.509e+03\n",
      "         Iterations: 1\n",
      "         Function evaluations: 2\n",
      "         Jacobian evaluations: 2\n",
      "==============================================================================================================\n",
      "                                                                 Start  -->   End\n",
      "Total (sum of squares):                                      1.647e-06  -->   6.189e-08, \n",
      "Maximum absolute Boundary normal field error:                3.123e-05  -->   7.865e-06 (T m^2)\n",
      "Minimum absolute Boundary normal field error:                7.944e-17  -->   2.755e-17 (T m^2)\n",
      "Average absolute Boundary normal field error:                6.239e-06  -->   1.013e-06 (T m^2)\n",
      "Maximum absolute Boundary normal field error:                1.703e-04  -->   4.289e-05 (normalized)\n",
      "Minimum absolute Boundary normal field error:                4.332e-16  -->   1.503e-16 (normalized)\n",
      "Average absolute Boundary normal field error:                3.402e-05  -->   5.523e-06 (normalized)\n",
      "Maximum absolute Surface Current Regularization:             1.206e+06  -->   1.258e+06 A/m\n",
      "Minimum absolute Surface Current Regularization:             3.991e+05  -->   2.392e+05 A/m\n",
      "Average absolute Surface Current Regularization:             6.272e+05  -->   6.345e+05 A/m\n",
      "Maximum absolute Surface Current Regularization:             2.185e-01  -->   2.280e-01 (normalized)\n",
      "Minimum absolute Surface Current Regularization:             7.229e-02  -->   4.332e-02 (normalized)\n",
      "Average absolute Surface Current Regularization:             1.136e-01  -->   1.149e-01 (normalized)\n",
      "Fixed parameters error:                                      0.000e+00  -->   9.313e-10 (~)\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",
    "    bs_chunk_size=10,\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": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x575.819 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x575.819 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 575.819x575.819 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 3.589e+00 seconds\n",
      "normalized average <Bn> = 0.0035002566855682053\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x383.879 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 1.394e+00 seconds\n",
      "normalized average <Bn> = 0.0035014182502461615\n"
     ]
    },
    {
     "data": {
      "image/png": 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GXV0dBgwY4N2ocvz48Th48CCA9n29MjIyEB8fH/Q7HsaOHYuysjIA7RtmxsfHMxuqkVKM6IVHw8waoz2dSLDuEXhEoFXpHs0LEShK1aC2kfcQ7f0Y8ZQEDsVoQTYvhh1EE+GP1fUBAaSkpGDJkiVYsGAB5s2bh02bNqG0tBT33HMPAGDgwIGYOnUqli5dihUrVmDz5s3e7z7zzDMoKyvDli1bcPjwYQDA1KlTccUVVyAvLw8LFy7ESy+9xMxWqYZpnES4ISKR0eMWviflkKFGVo89J09394tjsTOBQ27hiDakpPXd7rp8k2YhZzZGhkm1lkMWQySiE2341oo0MHuo3g5MmzYN06ZN8ztWVFTk/f9jjz0W8nsLFizAggUL/I516NAB69ebE08jnWcksIcXLrN7MqjRIQO9jZbe+7IeIiLMwZMvPPnRrPcjkkvZCmTy4MgkNjz1kRHvRGCetxKt97Zq2I5gh3RixIPWyl+rdyFQFGgVQeHu67TGRQ2RetDhxGC49LdLwKgVrmzWjamavG2WF8yJOKGDwqpzFijCqB4WD2nFiF6MZkaRg1g9BPaCPGh5ZtGGMUTpMZsVaR/unenFqllbkdAiPETLb2ZitC4IVRZkCWKlzhkRDseJETtjhmuSlwgQabjKSOxDqJkfvojkTo5mKy9kGg4h1EFBrEQgXMTI4cOHkZubi5UrVwatkx+J9L5VANQPmXjgFTdiFFb31VLwo4kAtQ2D1jQXLdjRCGY2niyGOVgLOrX5y8whGrPSnGXZD+X10rvMgJVEskHrMgtG0Dpk60G0pQaI0FguRlpaWvDLX/4SK1euxJNPPolNmzbp/i2j641Ew2jcCKsgVq3iiydGKh87CZJImBXXEi39WHu51JQnEWJE7NIL1yOMzPK88Rw2VRs0TvF7cmG5GCkqKkKHDh2wceNGLFu2DFVVVUHXtLS0BK27zxKr40ZYxQHIGLDGe1oyq1lVkbDTjBqzhmpEECVEOyxm1IRCbyfJau+QXcSp3bBcjJw+fRoHDhzAgw8+iKVLl2L+/Pk4c+aM3zX5+flwuVzeT2pqqtVmmgJFclvz7JE8D5F6R1obTFmCLs1oQLQgkhBhnf9E9lKKBovpxeGg9yA/louR5ORkDBo0CImJiYiLi8O1116LQ4f83cu5ublwu93eT3V1tfccz7nuMmCFJyAQNcMOovVGjNijtaem1ttgZmXNkkh5y8lC2xffxtHMsujrjTMSO2H390ZxI+JjuRgZPnw4vvrqKyhKe+Y4c+YMBg4c6HdNbGxs0Lr74YgWWMl78TOjGL2vkWESUXr+ItghUjyL2Z6Gpoy+ws6ssYJoDbOMw6VmwiOIleJG7IflYqR79+546qmn8Itf/AI5OTm44447MHjwYMvub3TTPKtm8vCMohchgh/QlvaiNZ7kNjaOll6/zMjaILL0TvPaNI8QBy5Te2fOnInnn38ea9aswcKFC3mYYDgzmj2TJxCjM2qMxKtorXSMeKPUeCBk7JlGEktqeo6B7y2Ud0SLx0TGNLQTZix8ZqYdajsoZolGNfe3s2B1AlIueqZ3vrlIWL0CrNnYZRl2vUMgZs+oIcRFpnonEmrrJCPDprLERRHWI6UY8aC1ARAhiInHsvDRUBsPoXXhMw+iTe9lOW5sdjyLjHvUWI2Z9svWWKpNC95lkgVavUO0JL3YSCVGxvc8put7rIZMRAikVINIS4yLjNkNTWDDoCWuReuCYiJNn1WLbyNgZaMvU+Mjk61G0euZkWG/MCI6UokR1qiNo4gWSBkOmWbysJgtwnuoxrexN9sWI0G+LINtd12+SZMQMWtKvG/F7qQGNBR6PDWyp5nIwcbUOZMDR4sRo+gdtlALq1ktejxBnnuzFEJqeyK+wijQDivWlzHqZYjUU4smRERdC0KEBsYKG2QUBTzjlERb70mEfEroQ1oxEq5xEjkzsp5RIzKReiMsKnzWQpCFTTK9HyOIHKQrsm1WEalMRPPSmiXGQtUHWoNYzVxyQEYRajekFSOByBTEygsjY6R6G9po6c061sGI50EvvJdbdzJm7YdilR0iYHXsBEvvn95JDDSbRzykEyNmDV1YMa3NgxUb9ZntmRCdaKIkWmUkUkCoHWfU2DEPfj2wk9SiRAvR6kGz04E6APZDOjGil3CNs9kuQjODp9QUOi2eADOXPDdzKqGadNDzHkQSJB7s2Ihrwfdds250zEpbtb122d+tyENkFMQqPrYUI1YoYxGXhbdiNgvPCketV0rvbJVQjYFHkGgVJiJXzB7MtNHMhtUMD4QsQoBlQHm4DgKPtBBhuESWPGBXpBYjIqz7YVWjY9WGeaFmsoQiXGMQTRCFqnSiNfThplZblfZGPSSyuI3D2WnXhv/tigzvRxR8bTFil5V5zkjgdqh6KdJzR6qTKG5QbqQWIx5kWorb7JUPzfCOmCH6RGoAWPbKWM6okX2VTLXvWIReMQ/CPbfadIuW11gLEq1D1VYJIr1ljoJYxUJKMWI0fkNmZSzT9FEj47Ra41e0VHzhloUGtIkkLfmQZcWsxkZWYk8mr4gMnRG1aE2ncM8uqleORR1MQaz2Qkoxwgqey8JbocZDiQEzpvfymE4rAzI2jtECRLU+k9ZhB5G8QU7qMQc+q9028lSLSB5bp+FoMeJB77LwatE6zZb1rBYZxEBgXEa4OI3Axe5EqfyMCFQ1vThWjYUaWAeIihaXQbBBa57nPaOF9/2JyNhWjPCYURMNlqKAZyOs997R1nbhGSiqZ28VrQ2sVa5jqxp+kYcMRbbNSWjJ87S/kbORXoxYuWeJFYTyipixTwyLwu5b0WiZThvJ/W312h4iDQuwINR7FXm4gZVtonjICO2wKIOhPKVqlsWnIFZxkF6MBMJjepfWipBlAxiqwGmdUSPa4l6h7FE7pU+kvWpCEWifEXut7j1Sg/8NMqeFGcO2dukMEvywnRiJBu8VUdVixmqoouzeywrWFSCr3pGvXaEaLU8+YZFffNfKkC1AlOBPpPwgw1CJ3ZcdYMHOnTuxaNEiZGdnY//+/UHnN27ciLy8PDz44IM4cuSI9/ibb76JgQMH4qOPPvIe2717N+bOnYt169Zh+vTpOHHiBDM7pRUjZu1Ro/a+PIO3zOiFsPCONGX0DRquiTadWk/BD5X2Wr0janqHZgeJhkLmHrdWRHaNB9qmV8TJ9D6jvQ+95SFcXte7g7CZu/fajcuXL6OgoADr1q3Dhg0bkJ2djba2Nu/5kpIS7N69G8uXL0dubi6ys7MBAJcuXUJsbCyuvPJKv987ffo0Vq9ejV/+8pe48847sWLFCma2SitGWGN08zoRCBW3Yfb0Xq29e6vGaM0OFpUln8gUk+GEBt8oVgs4PfncyPsQWaCKRkNDg9+npaUl6JqioiIMGjQIMTExcLlcSExMRElJifd8YWEhhg4dCgBIT0/H0aNH0dTUhK5du+LWW28N+r2HHnoIaWlpAIC2tjYkJiYye55YZr9EqCK5TPEW1pOnu1s2/OF7Xw9vV2To7mXUpMcwG3s2Ykdjv6awjdjXAzt5xVgkcdLpVLxXZAW+k1C28QoStTK/RINiBAhRiVQ3dSlpFGpBtL/UDEFcU0dN32lubAXwD6Smpvodz8vLw7Jly/yOVVVVISkpyft3cnIyqqqqcPXVV4c8n5SUhAsXLuCKK66IaENbWxt27NiB5557TpPtkbCFGOnf9zw3RR2pMWTJpF5HpemN8yJUJcQqLoNgi5nllYQSW4x0Fnjj2yEJxNNB83RGRBL7aqiurkZCQoL379jY4OY8LS0NtbW13r9ramq8ng3Ped+4j9raWnTr1i3qvRcvXowlS5agX79+es0PwlbDNFbtpKsWtbNawjV20YJYI7lD9exRs+vyTbpiR/Q2+E5ZV4DXMIJMQzR6Edk2q+GRFqwab5bTe51CQkKC3yeUGBk5ciSOHTsGRVHgdrtRV1eHAQMGoLy8HAAwfvx4HDx4EABQVlaGjIwMxMdHfhc5OTm44447MGrUKLz++uvMnscWnpFAog0hWOmqiz96WveW9qEI5QWKpP4D8R2S0HtvjzdI71BNOBtY9MBYDh9ZDY/GJFp6mWGT6HEBotvHA5E7Czw946KTkpKCJUuWYMGCBaivr8emTZtQWlqK+++/H0VFRRg4cCCmTp2KpUuXoqKiAps3b/Z+95lnnkFZWRm2bNmChIQEDBkyBL/61a+wbds2fPjhhwCADh064Ic//CETW6UWI6yGLow00B60NoLh7rnr8k2mTOs1m3CCKJroU+saDXzPvhUQ66EyUdy1RvJkqMqZVRqZ0QPVYxt5RcRCbfyWFmQeIhKFadOmYdq0aX7HioqKvP9/7LHHQn5vwYIFWLBggd+xefPmYd68ecxtBGw2TGMVZuxREw6twkStF4bV7KFIU2oD/+Y9nVZkRGxYRbRJJpycfpHW1+EN7VEjJiRGDBCq92xVgYvWO/UVJWYUvnD392yyFi0doi225LuIF6vt1LVeoxY1LmJW91NzL5Fd1mbb5rS4AdkJ1UFRk0fIW2I/SIxwwLcAmlE5h/OOsFx4zBejDW2kNLDKUxIojqxs0K0WRmoQPVbELK+DyELOCpz+/AQ/bCNGWKyIKmNB1FMpG1l4LFw6i+aStsoeHnlGzz0jeaIC0ypS2okSL2IlottHBKN1jzLaMI8/thEjLNHaGw9XQeudRRNuem0k16TR4SE9HgiWDZPRSsCMRlKvTeEar1AVpF7RFGjbydPdmVSkMngcRBO+hDjQMJ282E6MaM2MVkwDVbPmR6AYiLTeh1kzPUIJEi0ixcrdi43EafBszDz3rkmPMeyB8AgQViIkWrqIXtEbtY96xXwhD5SzkV6MyBzIFK3waV2ETI93JLAC1roLbGADYLd9KSLZpNdeq8UQ70o+UjpptU1P2vGYpi2T94Z3/jAbUWbxEJGRXoyEw1MZmJURRRBBHiFgJG7EDIx4JGQQJKy8EU6A0ukbRPcsiYqaThHPXdQJNthWjGiFReOsprE1uxCEEl++x/ROpfMlsOCHqmRF6RlqCc6MBMshESuxcqGzUKKNJaLkKUIMROgQEuwgMWIQFi5gFguQBS4+5hEg0XarDbRBL+EEiW+MRDQbWNkSzg5ZGjOZe9BaRJsWoWR2PItsIpMg7AaJERPwFQBNGX1DzqphFTgbqRLWOkRlVoXMWgRQw6EOO8QC8BaRdkhDK9EjCkXbS4rqFz6QGJGIaJ4TFrEjRgqiFVN9Ra8o7Nh4yeypMQurNxcUGTPWHrKynAeuNULwwVZihOfCZ3or7MACwHs1VECcBl8UO6yEVcNPFat6nJjPeEGBo0Q4bCVG9CKCm9C3Qgw1rTbUrrUeQk2v1SJKrIjb0ItvDIIoNjkJs7wiLMUSeW4IQn64iJFRo0Zh3LhxGDduHHJzcw3/nhlR1Xo9FEamFEda8yMaZsxo0dP4O7lhMNrAkleEINgRrf4jL41YxPK46ZQpU7Bs2TLTfr+xX5MQFfLXAzsFZXgzF+AJ9dyeAhnN+9PpVHzIxvDk6e5cFo0iCMJ5hKuHtCBK/U9og4tn5NNPP8XTTz+Np556Cl988UXQ+ZaWFjQ0NPh97AzLKbbhMDK91ezhEao4xPSKyDBEYxSWq8MS6iCPBBEKLmIkJycHjz/+OObPn4+77747SGzk5+fD5XJ5P6mpqbruo3XIRG/l4/EchFoR1bPmh+/aH9EwEh9hpAGJ9PwUrxEZarj44ORhQcJ/iJ48uHLDRYwMGzYMAJCamoouXbrg+PHjfudzc3Phdru9n+rqah5mMluETA3hgkj1THE1u4KOJkyogdCGk7wiVhOpgSKBHRor0oW8I0QglseMHD16FB999BF+8pOfoLW1FRUVFejTp4+/UbGxiI3lEs4CgF2cRE16jKaZOpHiNrRixripyJU3T8+EkXuLKETMRBY77U5ymeK49VAiQenBH8tb/JSUFLzxxhs4c+YMysvLsWLFCt3DMEZRM2zydkVGyNk64bwmgSJAbQCpBxYBXEbgfX+CEB0RlgIgzIHqP35YLkZ69+6Nv/zlL1bfNuTMFrV4hIdHlEQbvok0q0UNrAoERZWbjx29IrJUxrLYSUQnmmciXKdQLeHq/y4ljabOcCTUY/tFzwKDSUP9PxShhiTUrvkBGK8oSUSIjwhCRCZkytNOFXgiIfKwMMEeqcRIYeWgkMdDCYRwhT/arBY902zDXUeCxL6IIkQoj4SHZlcQhDxIJUb0Em2IJNL5aIJE9JklvO8vE2obdjsLAKfkF+p1E4RY8JuyohOt8Rsews1sURPLYbTi8lTwehoxCqgSC1GWfAfkEkU07CE2RuuZ/n3PSynwKF5EHKQTIx70rAGiNojULAFAAaXmwDJNPb/l+/5Z/T41oAQRHZb1r28nVO0kBqqj+WDrYRqzViO1GpFscQqdTsV7PyxgLUTMyBN2EktmxYvQtN7oqM1HWmc3huqAGlmYkrwiYmErMRLKTWhUkJB7mSCMQWKa0iAUesSAEfHhuaeWrTkI65BqmKbsdBpi4uOCej1agkgpboOwGhm8IgRhBoGxelrXewq1GrZRQeI0du7cieLiYtTX1+Pee+9FZmam3/mNGzfi4sWLOHv2LObPn4/BgwcDaN+WxeVyobS0FCtWrEDv3r1x7tw5zJs3DzfddBMOHjyIJ554AkOGDGFip1RixIORQCm9wiRULAFB2AWZ8nU0W2lKL+Ebn6dmWw67LgV/+fJlFBQU4ODBg2hoaMDw4cPxySefoEOH9kGRkpIS7N69G2+99RbKysowa9Ys7Nu3D4WFhaisrMSLL76Id999Fzk5Odi6dSs2bdqE0aNHY968eXj99ddRUFCAV155hYmtthqm0UpjvybNlTD1SsVC9PchUyNPyEdg/tLSqPKKfzFrmCRSJzVSusgqRBoaGvw+LS0tQdcUFRVh0KBBiImJgcvlQmJiIkpKSrznCwsLMXToUABAeno6jh49iqamJuzdu9e7oe2IESPwzjvvAAC6d++OqqoqAMD58+dxww03MHseKT0jrLF6lgvNqiH0Ilu+EdVeWaeiWgWrzUJZwHLjUtEorByEDvHamuG2phYA/wja0y0vLw/Lli3zO1ZVVYWkpCTv38nJyaiqqsLVV18d8nxSUhIuXLiAqqoq73CNy+XCpUuXAABz587FXXfdhZycHLz33nt46aWXNNkeCanESHx5PJoH8o9mpxgSQg2y5BFZ7JQFM3eAdYqICqxjowkSJ6RJINXV1UhISPD+HWqn+7S0NNTW1nr/rqmpQVpamt/5EydOeP+ura1Ft27d/L7ndrvRtWtXAMDjjz+OH/3oR/jJT36CwsJCPPjgg3jvvfeYPI90wzSsp1wShCxQno+Omb15mtYbHr1DJFrv4Xsfz99OFCIAkJCQ4PcJJUZGjhyJY8eOQVEUuN1u1NXVYcCAASgvLwcAjB8/HgcPHgQAlJWVISMjA/Hx8ZgwYQIOHDgAACguLsbEiRMBAGfPnkWPHj0AAD179kRzczOz55HKMxIIy6BSGjqRD5HfF3kbaC0U2eDp8dUiWJwqPvSQkpKCJUuWYMGCBaivr8emTZtQWlqK+++/H0VFRRg4cCCmTp2KpUuXoqKiAps3bwbQLlL27t2L5cuXo6ysDGvWrAEAPPnkk1i9ejUOHz6ML774Ahs2bGBmq9RixAMNmxCEPqjcEOFgGTeiZkZLIEbrdSPbcNiJadOmYdq0aX7HioqKvP9/7LHHQn5v1apVQceGDBmCnTt3sjXw/7CFGOEBCSC2aE1PkSsYyhcET/Q0/EZQ66kIZVc0jwiLejba90WuS5yEdDEj4aAMJT/0DsNDaRMdUWZ/AKHjS8x6h2aKX9ZDIjXpMX4fNZid96nzIAbkGSGkgxpm8ZHhHYkwM4XnFFq1YiCSjValn9r8pFdYUMwgf0iMEEIRLShZ9ApDpl6WTLYS2mA9VMNbtKnFyLAOCRK+kBghhIQqBYIwRiRBEs4rQrFwBC9sEzNCEHaFhJkYiLiCZzRC2Szjc2iByouckBghCEZQj7IdagzaURvEymIIJFLe0xM0ShBWQ2KEIByI3YST3iBQkWbgiIJRMRnt+54NSvVsVErYF4oZIfyQtXIItJt65/Jg5l4ussBiVg3LAEw9sSPh7h3td2hxMgIgzwghOeF6V7KKqkDsXkGLut8Lj/yjZrjGylkt0fYA890nTK8Q0XstYT9IjBDSorbHZQVUkWrHV4iIKkrMIFIDH0lsqBEiZuTDQNGhdqNSPbbwLke87+9kaJhGJ5Rp+aI2/WntgGAo7+rHiqXWZVnTgyBYQp4RDlDjSNgVytv8IbFJyAiJEZtDjYP5UOWvHZGGZXjMqLFivxVZZ6vIaDNhHBqmIaTDKZUVCUkxsXpXXKPIurUC4SzIMyIBTml8CWcjWgNvdrnjLQZk9p4Q9oPECCEVolWcotkTDdnsFRW7rYtC+aId3gLRyZAY+T8oExIEwRI1goXqHYJoh8QIQRCEDlh5R0QRJOQdIXhCYoSQBtEqSzPtEaWBkgVea3OE2nxOz4Z09L4Jp0OzaQjmUMVK6EHmOAwWtuvZD4Y1tEggwQvyjNgYqlQIX3g3dDJidZqpXWqdIOwGiREdGKmgqKKxB9Sw2wcRl18nUUI4DRqmIaSAGn97EbhwmMxDNGYSKEioHESH0khOyDMiOLTzLGFXPAKElRAR0cPBGvKYEHaFixgpLS1FSkoKPvroI2a/SUMnhFWQaGMHb4+IrALGzDqL8jfBA8vFSFtbG55++mlcd911Vt+akBSnVY4kjvWjRVzIKkQ82DmfOK3MExzEyLPPPouHHnoInTp1CntNS0sLGhoa/D4EIQJUSUaG0sdaRBYkIttGiIelYuTw4cMAgCFDhkS8Lj8/Hy6Xy/tJTU013zgLsLJw8qoIqAIieBPN43HydHfpvSIEYTcsFSO7d+9GQ0MDCgoKcOrUKWzbtg3vvfde0HW5ublwu93eT3V1tZVmEgJBPW1CD6HEhl1FCHUAiEjs3LkTixYtQnZ2Nvbv3x90fuPGjcjLy8ODDz6II0eOeI/n5uZi1apVmDNnDs6ePev3nfXr1yMjI4OpnZZO7V26dKn3///4xz8wY8YMjBo1Ktio2FjExoo565hmtzgXeh9ywUJ4UEPvHOz4ri9fvoyCggIcPHgQDQ0NGD58OD755BN06NDuhygpKcHu3bvx1ltvoaysDLNmzcK+fftQWFiIyspKvPjii3j33XeRk5ODrVu3AgA++eQTnDp1irmtXGbTvPDCCygrK8OWLVvw5Zdf8jCBIAjCNtixISWMU1RUhEGDBiEmJgYulwuJiYkoKSnxni8sLMTQoUMBAOnp6Th69Ciampqwd+9eDBs2DAAwYsQIvPPOOwCApqYmbN68GY899hhzW7mIkblz56K0tBS/+c1vcM011/AwwQsVYnEhT4ScmPXeeCzN7lR4lz0np71aAid5tLS0BF1TVVWFpKQk79/JycmoqqoKez4pKQkXLlzwO+5yuXDp0iUAwOrVq7Fo0SJ07NiR+fOIORaiEd4Fh2jHzhUI5TFCdETYaI/QRtnpNMTEx2n6jtLUDABBEzvy8vKwbNkyv2NpaWmora31/l1TU4O0tDS/8ydOnPD+XVtbi27duvl9z+12o2vXrmhoaEBJSQl27dqF6upqXLx4EQUFBXj44YfRtWtXTc8QCluIERlwwkwagrALVIaMw0MYOUmMVVdXIyEhwft3qDjLkSNHYvHixVAUBQ0NDairq8OAAQNQXl6OK6+8EuPHj8err74KACgrK0NGRgbi4+MxYcIE7NixAw899BCKi4sxceJEJCQkYNu2bQCAkydP4q9//SuWLFnC7HlIjBAAxCvEotlDaIP1VvRW5gcSIoQMJCQk+ImRUKSkpGDJkiVYsGAB6uvrsWnTJpSWluL+++9HUVERBg4ciKlTp2Lp0qWoqKjA5s2bAQDjx4/H3r17sXz5cpSVlWHNmjXe3zx37hx+/etf48KFC1i/fj0WLVrE5HliFEVRol/Gl4aGBrhcLlz15Fp0iAt2aVm1FLyVS85bvbw9i8pe1MbHqF12iVWQ+Tmssp112keyW/T3zLPc6L03q3see3K+7t9Rg6dN6/fCSl3DNKfmPgm32x1VjMiEozfKox4QIRp2ypOsGkU7ChE15wnrsFO5kxVHixFCTESqpEWyxSgyVrh2FSJaryMIuyO9GKHC7A8tA0+IhJHyKasQ0QrVYQRhAzEiA7wrO4LgiZ7GVmYhwvt5qb4hZITEiErsvAy8SD0zkWzhgV2fX8uwhcxChCAIfThWjFBFRETDjsKAZ74PJzQ8x2n6rljIlv9ls5fwh9YZIWwNNTriwbvREDVPsF6bhVAHpbkYONYzYhVOWHmV1X15N1JOwcmVr1Oe3SnPSdgHqcUINV7GoTQkCHGg8kg4FanFiFXYOXiVCI3d34MTe85OfGaCkAVHihGqlMTD7o0/QRDq4LWdBcEXR4oRO0ICi9AK5RnCLGQRB1QGxEFaMSJDZndCRnfCMxLyI1M+laFuIwjWSCtG7IiTFzsTCSeli0yNNEEQ9sVxYkRr5eukhokXlMb+WJ0eJEjsCb1XQiYcJ0bsCFU6hFEoDxGyQp0Ze0BixCSocidkg/Is4SQov4uFlGLEjkrYqfEiothBtEMVNMETyn/ORUoxoheKF2ELVRzmwTPvdToVT++W0A3Vm4QeaKM8E3DCfjSE/fHNW+EaGLX5jxoowgwoX9kHEiMEQUTFqOhVI2yIb2Cxgy+lMyET0g3T2LGAUbwIEQq7pg958wjeUB4UD+nEiF4oXsSZ0HsUE4pLER+r3w/lB2fjGDFiR6jwErJDeZggCIDECHOcUrk65Tl54wTPDuUl+2BlfnVC2XASUomRpivtl/moQIkHNY7WQ2lOWAXlNTGRSozoheJFvkGUZxPFDhlwSlpRI0EQzsURYsQqqDIlzIIEiRywek+yp4NWnPa8RDAkRiSFCq+5UPryg9JeTihehDACiRGOUIEitOCk/EKCxBhOyitaoHwlLrZfgZXiRQg74cmfTqhUO52Kp/LICSfkL6ewc+dOFBcXo76+Hvfeey8yMzP9zm/cuBEXL17E2bNnMX/+fAwePBgAkJubC5fLhdLSUqxYsQK9e/dGc3MzFi1ahF69euHkyZNYt24dUlJSmNipWYw0NDSgtrYWaWlpTAwgCFERuTHUKkrUPIeIDZDI74Bgg4j5zi5cvnwZBQUFOHjwIBoaGjB8+HB88skn6NChfVCkpKQEu3fvxltvvYWysjLMmjUL+/btQ2FhISorK/Hiiy/i3XffRU5ODrZu3Ypt27ahR48e3r83bNiA5cuXM7FV0zDN5s2b8fDDD+P222/Ht771LUydOhWvvvoqE0NkR4YCJUpwHTUu7Gjs16Tqo/W3CEJUKH+209DQ4PdpaWkJuqaoqAiDBg1CTEwMXC4XEhMTUVJS4j1fWFiIoUOHAgDS09Nx9OhRNDU1Ye/evRg2bBgAYMSIEXjnnXcAIOxxFmgSI7169cKWLVvwr3/9C6tXr8ajjz6KvXv3YsqUKTh79iwzo5yAkQIlg/CxC05Na5EqfBbvQKTnsSMypK+IZTm+PN67NYLaT3x5+3OkpqbC5XJ5P/n5+UG/X1VVhaSkJO/fycnJqKqqCns+KSkJFy5c8Dvucrlw6dKloOsDf8somsRIbGwsnn32WVRXV6Nz586YMmUKfvOb32DHjh3YsWMHM6NYQfEiBAtErMSsgMoDQYhLdXU13G6395Obmxt0TVpaGmpra71/19TU+IVYBJ6vra1Ft27d/I673W507do16PrA3zKKJjFy++23IzMzE/fffz+ef/55bNiwAX/7299w6NAh1NTUMDOKIAgxEEWQyCAIRUkro3bIkNYEkJCQ4PeJjQ0OAR05ciSOHTsGRVHgdrtRV1eHAQMGoLy8HAAwfvx4HDx4EABQVlaGjIwMxMfHY8KECThw4AAAoLi4GBMnTgSAsMdZoDmAdejQofh//+//oaysDO+99x4+++wzdOvWDb/4xS9Ufd/tduO+++7D6NGjcezYMYwZMwazZ8/WbLhIUOEVm8Z+TYbfEQVSEgR7yHttLikpKViyZAkWLFiA+vp6bNq0CaWlpbj//vtRVFSEgQMHYurUqVi6dCkqKiqwefNmAO0iZe/evVi+fDnKysqwZs0aAMCMGTOwcOFCrFy5EuXl5Vi/fj0zW2MURVGY/ZoK6urqsHPnTjzwwANwu93o06cPLl68GPE7DQ0NcLlc6PfCSsTEx6m+l1UZXU9DxyNmxMkBrKwEo1MrQxEEt+g9fpZ5w4itVqeTlXWZVXX0sSfn67qPWjxt2lVPrkWHOPVtGgC0NTfj+MrFcLvdSEhIMMlC67F80bPExEQ88MADAICTJ0/i6quvDrqmpaUlKFLYbGj1QEINIjTKTsUpae+U5yQIX7itwPrSSy9h7ty5eOaZZ4LO5efn+0UJp6amav59uxZo3l4Rwr55KxKUfwjeUB60N9zEyJw5c7Bnzx7MmTMHlZWVfudyc3P9ooSrq6s5WRkdJzZMBL13QkxEH8ridS9CfCwXI0eOHMG///1vAEDnzp2RlJSEr776yu+a2NjYoEhhghANp1Wm1DMNj1PTRobndlo5lRXL96bp1KkTVq9eje985zuoqKjApEmT8N3vftdqMwiCCZ6KToZKmSCI6FBZ5oPlYmTgwIHYvn27qfcQeboYZXR7QlN/CcI8qGzZH24xIwRhNzzLNdsZ3o2C3dOX5/NRvAjBExIjBqACRYTCCaKE+AbeAs2D1XaI8tyRENlLTvhj+TANQTgF1oKEKkpKA4KwK7bzjJASJuyKKN4WKjMEQbDGdmKEMB9qjPhBQ0BiYZeyIHK8iF3SmIgMiRELoUJFsIIECeELxYsEQ2VELkiMELbHrpWSXZ/LqdD75IsMAsvO2EqMkPuPIAhCXEhwEeGwlRixEipUhAhQPuSHXTozIuchu6QxER0SIwQhOTwaEx6NBDVMYiDDexBZYBGhITFC6EKGCokgnACVReNQGvKHxIhDcGpPwSnP7ZTnFAVqvAiCLbYRI1QZEwQhK7zqL5HXFyGchWOXg6eejXEa+zUJXcFYZVuovMQjXey8c7Bdn0s2aIdzwiwcK0ashgqWtZgtBqK9T895kcUaoQ+RyrJItogClTk5sc0wDcEHrZWhHSpPLc9g9fNSRUwQ2rBDnWQHSIw4CKc0VGY9Z2O/Jl0VF1V2hIhQvAghEiRGdEAFyx+RGlszhQjP7zsZkdLODFuoPiEIm4gRKsz8UVNJm92oiCpEWP9ONKg8EGZAwauEmdhCjGhF5owusu2RbHO6ECEI1lDeDIaEuLw4Uow4GStmmXgqSc//ZRUiZkANiDZESi+RbCEIu0FihDAFOwxJUOND2BUKXm2Hyrg4kBghpEXkSo4g1EB5mCDaoUXPHIgdVurkvaiZ0d822347vGOR7BfJFoJgSW5uLlwuF0pLS7FixQr07t3b73xzczMWLVqEXr164eTJk1i3bh1SUlJw+fJlPP7440hPT8e5c+ewYcMGxMXFeb932223oU+fPvjNb36jyg7yjBDSQb1JgrAWGWbSUL2gncLCQlRWVmLp0qWYMWMGcnJygq7Ztm0bevTogZycHNx8883YsGEDAGD9+vUYO3YscnJy0K1bN2zfvt37nZdeegk9e/bUZIv0YoQyoLOg9+0MyBNBEJFpaGjw+7S0tGj+jb1792LYsGEAgBEjRuCdd95RfU2448ePH8fZs2dxyy23aLJFejFC6IMadb5QYysP9K4Is0g+pSC5TOPnlAIASE1Nhcvl8n7y8/M137+qqgpJSUkAAJfLhUuXLkW8Jjk5GVVVVWGPt7a24umnn8bixYs120IxIxIi+m65ZuHEZybsi5H8bEQg0Uwae1BdXY2EhATv37GxoZvz1tZWZGVlBR2//vrrkZaWhtraWgCA2+1G165dg67zvaampgZpaWlhjx86dAjx8fF49tlncfDgQZSXl2Pz5s3Izs6O+jyOEyPUy/kGOwQ5qiG5TEFNegxvM2wFTakmZEf2fJaQkOAnRsLRsWNHvP/++yHPFRYWYseOHXjooYdQXFyMiRMnAgDq6+tRX1+PtLQ0TJgwAQcOHMDkyZP9rvEcHzRokPf48OHDMXz4cADAli1b8NFHH6kSIgAN0xA2xdet6fs34Uz0iifZGyyCiMT48ePRo0cPLF++HFu3bsWaNWsAALt27cKqVasAADNmzEBlZSVWrlyJDz74AAsXLgQALFq0CPv378fKlStRVVWFH//4x97f/eijj/Dmm2/i0KFDePXVV1XZEqMoivA1dENDA1wuF/q9sBIx8XF+57RWMiwqFz0VG+tKjWXPVJYKV+0zRxMd0bwkdliwDTD3OWTzjIgoRmQZprF6SEjP/Vjf5+Qs7TEPWvC0aTfOKkCH2LjoX/ChraUZH29dArfbrcozIguOG6Yh7I3V3o/+fc97/3/ydHdL721HZBHGBEGwhYZpCNsEmakVImYJlv59z/uJE55Qo07ICOVb5yK1GLFLIyoCnU7FU3pqxKjwoIpXbOz4fmgmDSEqUosRJ2NWRSlrBcJzeIZggx0b/3DIWs4IwiwoZoQIIrCitGMjQdN9CYIgxIHECBEVX3HCQpgEehVEC/w0uv5K/77nhXsmlpjRqxdN8IpmD0HYHRIjEsNjJVbP/fRU1uGGNjzH7dyAEwRhDjTkZQ8oZoTQhRkVAMVhEIRY2NVDZNfnkhkSI5LDs1BpESRqhUak66gCUYds6SSavaLZQxBOwHIxUlJSgh//+MdYv349fvrTn+If//iH1SYYRrTKShZBQhAEEQ7R6lXCWiyPGbl48SJmzpyJ73//+zh//jyGDx+OkydPWm2G5Zi9KZ3nt0UUB1qHX+weAEoQPKA1RgiRsVyMeHb0A4C2tjYkJiYGXdPS0oKWlhbv3w0NDZbYZgfCCR4zKwen7P7LGhkrbNY2W5Vv1AZ7Uz4mCD5wjRl5/vnnUVBQEHQ8Pz8fLpfL+0lNTeVgnb1o7Nfk/ciAzMGs5NUhCILQBjcx8sc//hG9e/fGbbfdFnQuNzcXbrfb+6muruZgoX0RaVdUrcgipnhB6aMfWdJOFjsJQgtcxMjOnTtRXV2N7Oxs7NmzB2632+98bGwsEhIS/D6iobVCEK0CEc0egnAKMg7PEYTZWC5GDhw4gLlz52LXrl0YN24cfvazn6GxsdFqMwgT4FnJWr20Ow3FGMdqQRzpfiTOCYIvlgewDhs2DJcuXbL6tqYge1CcGvtDbUBnVcMv46wa2ezVgh169KHyvKjlkyCcBC16ZpBovS29FV2nU/HcK/9wO+Fq3SHXrg20aM9Fjao6fIO5Kc0IQgxobxoGGK3QIokO1pvUBaJ3fxva9TYYLeKEt9DkDYkA8aF3RFgJiRGOaG2Q1K7nEWparFW9eKetOXLydHcph5MIgiBEQuphGpkbPbN6xtF2xmWJ1uEaVoR777w8NSRECIIPTvcw2gmpxYgTiVT4ogkOmRcSIyJjtjBnWenL3ImQFWq0CdEhMcIBMyoGI7viGmkceHlHjELxLgRBEOIgvRihXpZ4hBJbNJTxDdRLlQfPrDYRZrcRwVD9bx9sEcCqZUaI5zrWmZhV0Gigp8GMHjwFXEaGKjjzkCVtw9UnTgvQtiv0HsXDFmIEiF7JBVYurBYrizQ8orXRDzXkEWoKLRUkwheZ4kXsAJU/gmCP9MM0atGzwFE016yaOA21sRyyxl6IBsWCEEZRI754CTQSQYRdcYwYMYLRiidQkGitUKwQKk4KYuUpWJzsZaCGlBAJJ5dFEXGcGBGxQuTRmJs9zZeCWK2BhmjY4rTnJQhRcJwY0UtgJWX1mh2yeR8IwhcROwFGIeHCFr3paSRv0SwpcbBFAGskYaC2N2727rQ0g4UgCEJMnCxIcnNz4XK5UFpaihUrVqB3795+55ubm7Fo0SL06tULJ0+exLp165CSkoLLly/j8ccfR3p6Os6dO4cNGzYgLi4O+/fvx0svvYSMjAwcPnwYL774Irp06RLVDuk9IyxWHWW1O+2kXke9H0JMoglMM3vwrCs8WYZoZPGKOLlBkh3agVkfhYWFqKysxNKlSzFjxgzk5OQEXbNt2zb06NEDOTk5uPnmm7FhwwYAwPr16zF27Fjk5OSgW7du2L59OwDgiSeewIIFC/DEE0+gd+/e2LFjhypbpBYjRlYd9cBq+CNQgJgtSKjiJAjCbhit1zyixAnCpKGhwe/T0tKi+Tf27t2LYcOGAQBGjBiBd955R/U14Y53794dVVVVAIDq6mpcd911qmyxxTCNmfiu80HrCxCENqi8yIuR+k7LQpQs7xtog+9vikjKiUZ07Nim6Tutrc0AgNTUVL/jeXl5WLZsmabfqqqqwuDBgwEALpcLly5dCnlNUlISACA5OdkrNMIdX7NmDbKzs/H3v/8d1dXVuOGGG1TZYisxEuiNeLsiw/t/itnQTk16DPPA2ZOnu6v2aLF+XzSlVz0s7CUhIg5GxAEPWHf81Dx/qAUmRaa6uhoJCQnev2NjQzfnra2tyMrKCjp+/fXXIy0tDbW1tQAAt9uNrl27Bl3ne01NTQ3S0tIiHp82bRreeOMN9O/fH0899RTWrVuHlStXRn0eqYZp4svDZ6ZQwyJ6hkq6lDRq/o5V0IwawgM19GyRqaGWBaN5lPVMl3D2JJcp3rrV9/+ik5CQ4PcJJ0Y6duyI999/P+izefNmTJgwAQcOHAAAFBcXY+LEiQCA+vp6r6cj3DXhjp87d84rTHr27Inm5mZVz2MLzwir+AyPEOlS0oivB3Zi8puEPFAD3w55RQhWsPDIqPGShPO2RvOuyiI8zGL8+PHYu3cvli9fjrKyMqxZswYAsGvXLnz88cd49tlnMWPGDCxcuBArV65EeXk51q9fDwBYtGgRfvnLX+LEiROoqqrCE088AQDYuHEjHn30UVx11VX47LPP8Ktf/UqVLbYQI2YTyn2nZbjBCkSzh/gGp/W6zRIiFLMlJ6wEiee3AtGyP5hsw1VWsGrVqqBjM2fOxMyZMwEAcXFxeO6554KuSUlJwW9/+9ug49OnT8f06dM12yHVMI0e9HpNWAzX0BRfc9BTmcg0FhwNkacfs7bN46r32EWLVFmL6NO7jewP5nSviGhIJ0ZkdiGT54Ig1GNX0eFU70605/bEa/h+AlGTJ0Kt9aSm7u1S0uj9ENYjnRghnIHVM59kaSCc4BUh70d4jKSL3vfDOog0lB2RFp5U68EIFCFaPNMkQPjjKDFipmfCdxpxpGOEs3BKo8pSiFiNU96REdSkUf++50N+WBBNkIQTHjRULg+OEiMsoIqLsCOy5WvZ7BUFo5vK6SGUKOFlByEuJEY44VsY7RRcKSJ2SV9Rh5Jk9ooQ2gj3jtQGkvpeFynfhIrf0BtwGugdEbUcOR0SI4St0FNhmTkVVQZ4xCGwtIHQBovFyMwkMH7DrHgOu3RS7AKtM0JIBTVabKH0lI9o6614vA+RgsAjrbcRKOj1NNqhYjU8MXSRtuagQFLnIpVnJPkUv3nhanrcVgesUkPiHER0LZNXRD9qprkaJVoAqdr3F2pGi553RsGkRCSkEiMeAgsCr1krtPGeOehNVxqi0YYMNjoZVotyRRIlWvJ/oCgJl3/UiA6PPWrv7/GY0EJl9kVKMeKBxADhBMgr4ix8G9xwja+edGM51VYvVnlH7kk5ZMl9CHZILUbUorYA0OZ45sO7MiTaIREgD1q8AXqWR9cqLEPZY7RjaHYwqacNoPpHXBwhRiIRqRDoCaZy4kJnodJQlN48j4h5uzf0orxb2TFjVotaUaC1UQ6sCz2ChFfsiN3LmBNxvBgh5CFSBWRmvAhP97YZDb8oFbkodkRCy3LkZtvBGjVrfviu9aF335Z7Ug6FHDYJVabIO+1cHCtGqHdHqIHcuv7IVm6MvD81AkDtMunhCJWe4bx5ejeO8xDKI2F2+ogauxGY7iSC+GMbMWLl8AjPHp0IvTSnEFhRq6m4WW8qxhoZvBEs8PVmsRCUespdoA2s7NBqi+8GcqF2tPXgyW/RhjZ5rQVCa5DYG9uIEbVQT5cfZqW92S5sQi5CvTut7zNUnmIRSBrquJkroqrZQM5oXlcrcMN5ScwQ3bsu36TqOlqFVRykEyPkGQgPTXVWD8/hBl552CleETNhtRiZCHbYYREyT53nxIkDdkM6MeKBKlbCLPQ2FmrypNpGRMTYDDU2qU27aGmlt7GNdH+1tlkhFlnsYqtmATKzMDpkYkQIUYfUnlguRj7//HOMGzcOBQUFTH5PNm+ASO5/kWzRi0wVE2tbtcQhmN1YsYyP8KSTKDNZAmGxNDoQufypHT4wmj5G19/wvb/oa40QYmO5GPnss88wduxYq2/LBNaL/fj2hkQsiCI1BFb1/KyKazGStoGNPW9RqSU+Ihpm5zneaRWImum1vkTySHjKCKs6yQpoei/hwXIx8qMf/QgdO3aMeE1LSwsaGhr8PmpgMW5IBYFgjdYGVs2OrKwRSXgGotY2K4UGy/RSa3e49T5Ee3cUv0HoQciYkfz8fLhcLu8nNTXV1PuxXoWVCEakHmm4xt6IjVZ4bsyIZfEdConUqOlNMy02W9WompEX1b7/aLESkRYfM4pn8bFwi5D5EqpOjD96GvFHT4e8nkcMnxnDYwQ/hBQjubm5cLvd3k91dTVvk3Rhh2h1kRGtRxgKljuvGjkfCrOmr5qBme9a79CEnvU+PP8G1g2h0tKq9T7MrKfUTrG1gsDnpIXPxEJIMRIbG4uEhAS/j1FCFTgRZywQfBClt2RVnhRNyIlmD0vCLTQWbfExNXgEiZG9YjwY3a/GCEbyPQXO2gPLxchrr72G/fv345///Cf++te/Wn17AGwaHlZuWUJ+wuUFq7wikTDLfa7FJlZCj0echodw+7Kwms2ixyYrkMlbQLEqcmO5GLn77rtRWFiIPXv24I477tD1G4G9ANmm97JExOXHrejd82yYZMfOXggz8BUhamazaMWMDosZdWJTRt+Qxyk/ESwQcpiGN6L3Bqjw60e2YRAeQsnq/KX3fkaFuNZptR4CBYms5dGM5dm1iKBQIswzZBKuDg4cliLsg+3EiNmuOhZrjditJx6tYrBq7wvZkc2jJAOeeA3W3gezZtl5yoqW4MpIDTQNXWhD9I6onbGdGNGLmUFMkSpCCqK1HzJ7RdTA0y4taRtY7tQKEhZ1gdYOSjjbrAquVJs24YZqAtEigkSMiXISubm5WLVqFebMmYOzZ88GnW9ubsZjjz2GNWvW4KGHHsLly5cBAK2trdi4cWPQ0htr1qzBkiVLkJ+fj5/+9KdobFQn3KUSIyknaOtqQqx4EZErw0DbeHpF9AaMsi57aqbUqiXUwmNadrCNttaHXljlSa1CKNx9PdN7rZjmq1YEiSr0raawsBCVlZVYunQpZsyYgZycnKBrtm3bhh49eiAnJwc333wzNmzYAAD4z3/+gylTpsDtdvtd39bWhoKCAuTm5sLlcmHHjh2qbJFKjJiB6J4JEkJy4bRhEF/MGA4xAxZTao3AQoSEW3wsEmrEgFnLs5stRPQG7HreuYzTewNXKW9padH8G3v37sWwYcMAACNGjMA777yj+pqbbroJgwYNCrp+6dKl3v+3tbUhMTFRlS22ESNqMiPraXSse8UyFgiZEF14+iJTzy1QhBgVJIEC3OyAUVbeEaMY3bROdqwon6KJ5fgvz3hXtlX9+fIMACA1NdVvpfL8/HzN96+qqkJSUhIAwOVy4dKlSxGvSU5ORlVVlarfrqysxKlTp3DnnXequl5aMcJikR+zCOUqNFIIzPSOOLXiA8R6dpmEkhqsChgNV/6j3Z9XoxToFYnkJTEywwdQ10Ez6qXRe1/CONXV1X4rlefm5oa8rrW1FbfcckvQJzs7G2lpaaitrQUAuN1udO3aNej7vtfU1NQgLS0tqm2XL1/G448/ji1btiA2NlbV80grRiLBY0aNVkRqCO2K0zxNkfJUuDwbrpFnkcf1NPi8hyX1uO1ZroKqhVBDNay8RlrFMcuZPNGm90a6p5MIXKU8XKPfsWNHvP/++0GfzZs3Y8KECThw4AAAoLi4GBMnTgQA1NfXez0g4a4JR01NDebNm4e1a9eie/fueP3111U9j3RixMzKSqYN85xeEEXArABRq4Sq7y6wetEiOFg+F2uxZEaaq/UQmBXI6sFu03vNroudNL13/Pjx6NGjB5YvX46tW7dizZo1AIBdu3Zh1apVAIAZM2agsrISK1euxAcffICFCxcCAM6fP4/8/Hy0trYiPz/fu4fcjBkzUFxcjHvvvRfjxo3D/v37Vdmizn9iIyb1OqqqcH49sJOmTH/ydPeoFZrae4eiS0mj7kLiqXR5VEqsK3mnirDARt/ouwwVl2FlJdzYr0mzByGajWrKIAvij55WPcUVaH9XakVbqDqiJj0GyWWK5jrJKXQ6Fe/nyVGb3v37nqchJcArOnyZOXMmZs6cCQCIi4vDc889F3RN9+7dkZubGzQ8pNYTEoh0nhGWhFtgyGqM3l/EuBnRkX2YTLRAvHCIbqca+0IJID2zWVjiEUPh7Ig2zTYUkVZEVYvWuohl0K7RGTUEX6QWIyLsUSOTEBC9YSBCY1UwqAy97lA2hiqDejxHgZ0TI3Ej4VA7xVU0sWynoQveC8wRoZFajFhNqEWOCAIInR/MWrjLgyzi0qzYDN5lkLd3xCx4CiEty+AT9kJKMSJDD04NoQq92epclgaMF6It3CWSLaJg9qqsLGDlMbVieq8ZeO5rdEZNNHgLUoIdUooRNUQqBJEqH1ZiINz9zV5vxOzKxy5CMBQsG6VoC3eFQ2uvVI3NWipsLd4/VullpXvczGXYjaDHpnBBtFY30DzqhGj3tNsMIidgWzGilkhBrFpdhFb3QmTtFWjxPqjpYaqpDH3fb6gGX++maoR+WAYOqokb4yFCRJmt4ds4q41bYbHWiFXojRsUZRIDYQMxYvVCQ2b1AqwsDEY3C2OVBlob/HBxGUZtcpLw4OXZMpLGkWIz9DaA4YRJuMZJTcckUtoa7amrXQhMLVZsWqcVK2NVKIhVPKQVI+EKvt1n1NhtmERkIaDWtsAGkZdYk4VIjU64xjZQkFgVNxKqcfIdHjFjFVQt7z3Seiesd+9VK4T0Tu/1QF4KZyKtGDEKi4peb6Vj9sqPRohUEbBoAOzawKpBZiEp0xR20ZF1eq9WWHUMaUaNM7C1GNHqGpV5O2mrGwszd1JVWwnL3LizxKp1SALRWr6M2sl6Kq3ZMSSiC7hIooilEBJ9Ro3sos8u2EKMWJ0ZzW4EfQuhE3oFrBpTs7ea12OD1fBeft8zW0XrrBUjHYBwcWM0o6IdLdNsZfJcBpY1o++fhof4Ygsx4kFrRLXepaAjIUr0fDRkqnTMhNKBDyxmMbCIG/MVTFqWJo8WN8ISMxvJaENGau+tdgVaKzBa/8voGbcDUosR3r1QQP9snlAFQWvB970/YQ52ECtUueqD1WqgrDsokewwWxSYHcRKQybORWoxIjpq3YQiFEARbCD4EKpnz0roBw7VGPVG8liCXc8eNaFgNb2XB0bvbTR+zwnD1U7H9mJEqyCQOYjVA6thqmhpoLXBMnOFU1kQzW5P466lkZdlKJInrDbMMwrvIFqrVoQ2ut4ULX7GH9uIEbssfmYHeFaATn0vVgwnmf1eWQSxRkLEhb4Ic1AbtGuHYVi7IL0YMRrEJmpmlNkzo4dw74F6Kt+gdZYKq7QzGn+gdbXTaPh6cVjPqGBNJAFnpTjSs3EdDd0SViK9GLGCaOOVgV4ZK4RQKBHG2yUrG7yFqJFG3ow1MnjEY5iFFUNJkVY/NQrPgE69K6KyCp4N98wUN2JvSIz4wHPc0MiGfawj58kbIR5axAerBsysIS/eIlANrEWAHs+ELyKUSV7LwtPiZ85AKjFyeUDoQmDWdDYWAZy83cRm44QYDRkaT7Ww7l3aLX9H8wrw7p2rEQQirfkBGBdi0TA6VEd744iBVGJELYHDJRTEFB6Wzy5K5Ufox6yhGq3DSr6NrZnDIWoxK4aLgmrNg2Z9yYUtxYgZmDVUwjpuxAi83ZQyiEIWacRzDQ+jaI2LsjushJKZokS0oF418K6LCOshMRKA0X1qWFbWTptR44tdKiO7BIWa5fViub6P3um9Zm+YJwp66iStwaRGh4iMDplQ3Ii8SCdGrArm5LH4GYsAWuq5ihfHIoIgcZKwtdoTEM47orYuEnGohlUcBat3ES1WJlrcSDRk8MraHenESDhYBzHJBsVriIcVIiRar95oMJ4oM2oiDYeIJj6tWvuERzCtXlHLq3NkdvAswQ7biJFwiOAhYFEQeEXx26VHrbanxNtlzyq/qnU3h2rkjYioSL18lmmrxkYRyr4veu2hoQPCCdhejLBE6+JnauHtlTF6/0g9U9EaBL0YTaNwjafV2xiYgVm9Tt7TaMPByy49Q8fhPKYyeAr0Ln5GcSNyYksxwiozal15MBArGmKz1jqxy1x7PXmBt3fECEZ3xXUCgd6bcN4c3ptnsuykmCF2rZphqDb9jQ7X8e4UOh2pxEhNPz5BTDyDWK2uAFn1CmTs6cssQqxA77YHhPWw7CAZ7Zzxmlqsdb0pgi9SiRG9ODUz8mgsjHqlROmdmC1MRAu6jITZtvIW4IQ2ZAtiJeSAixjZuXMnFi1ahOzsbOzfv5+HCabBY/GzwHub5ZVwuns/HGorZ96rm1Ij/w2RAm1FEcRqMLNMipAOFL9hPrm5uVi1ahXmzJmDs2fPBp1vbm7GY489hjVr1uChhx7C5cuXAQCtra3YuHEjUlNT/a5vbW3FmjVr8Oyzz2L69OnYsmWLKjssFyOXL19GQUEB1q1bhw0bNiA7OxttbW2af8fsRXfCuSb1DhGZ6ZVh0XMVoeKJhpbGlEWamD1tVgt61qIwsm6NCGujBGJktVPRvKKi2SMaRvcI4tkplInCwkJUVlZi6dKlmDFjBnJycoKu2bZtG3r06IGcnBzcfPPN2LBhAwDgP//5D6ZMmQK32+13/e9//3v07dsX8+fPx8svv4xbbrlFlS2xxh9HG0VFRRg0aBBiYmLgcrmQmJiIkpISXH311d5rWlpa0NLS4v3b87BtLc34ujeQfKo9o7W2Noe8R1tLu8Zqa45BXEkMmq5sQltT++/tOXUVxvc8FtFGz7VKU7P3d7Te1/P90hNdkd63CgDQ3Niq+b7tv9t+3+r0Dkg5EbqRDXVv39+Mdm819wfCP3vSl83ejQyN2BDKjoZezYgvj/ezJZwdfr+jMU0aG4IrMN9rPN/r1+Mcyk6n+f12KLtalW/ysPeYz/lo9gXm1VD2RbLT7zcj2Om+uifivzxjyFbf++84fwPuSj4c1c5xqZ+jsHKQajsB/zTVYl/gvYFv0jNUvjRSFvXaE/J3DJRJrflLz/2j3TuxpD3WL7Ae1vvs0erhwHpIb/3f0NCATp06ISbGXG9im6KuTgz1nYaGBr/jsbGxiI3V1qTv3bsXw4YNAwCMGDEC06dPD3nNzJkzvde88MILWL58OW66KXQH6c9//jMmT56MX/3qV6itrcWCBQvUGaNYzJ/+9Cdlzpw53r8nTJig/Otf//K7Ji8vTwFAH/rQhz70oQ+Xj9vtNq0dbGpqUvr06aPbtuTk5KBjeXl5mu2YO3eusn37du/fnTt3Drrm+9//vvL+++8riqIo5eXlyjXXXON3vlOnTn5/Z2RkKKtXr1YURVG2bt2qPProo6pssdwzkpaWhtraWu/fNTU1SEtL87smNzcXS5Ys8f5dX1+Pbt264eLFi3C5XJbZKhoNDQ1ITU1FdXU1EhISeJvDDUqHdigd2qF0aIfSoR1W6dCpk3nxOHFxcSgtLUVrq3bPCAAoihLktQnnFWltbUVWVlbQ8euvv96vPXa73ejatWvQdb7XhGqvA0lOTsbQoUMBACNHjsTGjRujPg/AYZhm5MiRWLx4MRRFQUNDA+rq6jBw4EB/o8K4m1wul6MLmYeEhARKB1A6eKB0aIfSoR1Kh3ZET4e4uDjExcWZfp+OHTvi/fffD3musLAQO3bswEMPPYTi4mJMnDgRQLsDoL6+HmlpaZgwYQIOHDiAyZMn+10TjrFjx6KsrAwAcPr0aVx11VWq7IxRFEXR8FxM2LlzJz788EPU19dj+vTpIVWbLw0NDXC5XHC73UJnLrOhdGiH0qEdSod2KB3aoXRoh9JBG0uXLkV8fDzKysqQn5+P3r174w9/+AM+/vhjPPvss2hubsbChQvRvXt3lJeXY/369UhJScH58+fx29/+FsuXL0deXh5+/vOfIzU1FRcuXMDChQtxzTXX4L///S/y8vLQv3//qHZwESNaoczVDqVDO5QO7VA6tEPp0A6lQzuUDnIixaJnsbGxyMvL0xwpbDcoHdqhdGiH0qEdSod2KB3aoXSQEyk8IwRBEARB2BcpPCMEQRAEQdgXEiMEQRAEQXBFyEG1nTt3ori4GPX19bj33nuRmZnpd37jxo24ePEizp49i/nz52Pw4MGcLDWPaGnQv39/b4TyPffcg0ceeYSDlebz+eef4+c//zmmTJnit/aMh2jpZBeipcOoUaO8wXq33HIL8vPzrTbRdEpKSpCXl4chQ4bgyJEjmDZtGqZMmeJ3jRPyg5p0cEJ+cLvduO+++zB69GgcO3YMY8aMwezZs/2ucUJbYRtULY1mIV9//bVy4403Km1tbUp9fb1y3XXXKa2trd7zx48fVyZNmqQoiqKcPHlSycrK4mSpeURLA0VRdK22JyOvvPKKkpubq6xZsybonJp0sguR0kFRnJEfiouLlT179iiKoihfffWVkp6e7nfeKfkhWjooijPyQ21trfLyyy8riqIo9fX1Smpqqt95J7QVdkK4YZpwe9d4KCws9K7ulp6ejqNHj6KpyboNy6wgWhoAwHvvvYd169YhLy8Pp0+Lt6kZK370ox+hY8eOIc+pSSe7ECkdAODTTz/F008/jaeeegpffPGFhZZZx/Dhw/H9738fANDW1obExES/807JD9HSAXBGfkhMTMQDDzwAADh58qTf/maAM9oKOyHcME1VVRWSkpK8fycnJ6Oqqsqb0QLPJyUl4cKFC7jiiisst9UsoqUBAKxduxbDhg3D8ePHceedd+Lf//43D1O5oiadnEJOTg6GDRuG6upqjBkzBocOHbL1GgvPP/88CgoK/I45MT+ESgfAWfnhpZdewtatW/HMM8/4HXdCW2EnhPOMRNu7JvB8bW0tunXrZqmNZqNm/x7PTotXXXUVTp8+7Xe9U1CTTk7Bkx9SU1PRpUsXHD9+nLNF5vHHP/4RvXv3xm233eZ33Gn5IVw6AM7KD3PmzMGePXswZ84cVFZWeo87oa2wE8KJkZEjR+LYsWNQFAVutxt1dXUYMGAAysvLAQDjx4/HwYMHAQBlZWXIyMhAfHw8T5OZEy0N9u7di7fffhsA8PXXX6Njx45+PQC7c+rUKQCh0ylwnyM740mHo0ePYsuWLQDaN8WqqKhAnz59OFpmHjt37kR1dTWys7OxZ88euN1uR+aHSOnglPxw5MgRr0e4c+fOSEpKwldffeWotsJOCLnoWeDeNX369MH999+PoqIiAO0R0l999RUqKiqwcOFCW0ZIR0qDTz/9FMuXL8dNN92E//73v7j33nsxefJk3iabwmuvvYZNmzYhLi4O2dnZmDRpEq677jocP34cHTt21LzPkaxESofKyko88sgjGDp0KMrLyzFmzBjMmDGDt8nMOXDgACZOnIghQ4YAaBdj77//PsaMGeOo/BAtHZySHzyzir7zne+goqICnTt3xk9/+lPHtRV2QUgxQhAEQRCEcxBumIYgCIIgCGdBYoQgCIIgCK6QGCEIgiAIgiskRgiCIAiC4AqJEYIgCIIguEJihCAIgiAIrpAYIQiCIAiCKyRGCIIgCILgCokRgiAIgiC4QmKEIGzMnj17eJtAEAQRFRIjBGFTDh06hLNnz6KwsBCNjY28zSEIgghLLG8DCIJgz5dffomDBw/iwQcf5G0KQRBEVMgzQhA25IUXXsCcOXN4m0EQBKEKEiMEYTMOHDiA73znO4iJieFtCkEQhCpIjBCEzfjwww9x/fXX8zaDIAhCNSRGCMJmdOrUCcXFxbzNIAiCUE2MoigKbyMIgmBHXV0dpk+fjpaWFsyZMwd33nknb5MIgiAiQmKEIGxKaWkp5s2bh7Vr1yIjI4O3OQRBEGGhYRqCsCmfffYZbrnlFlx55ZW8TSEIgogIeUYIgiAIguAKeUYIgiAIguAKiRGCIAiCILhCYoQgCIIgCK6QGCEIgiAIgiskRgiCIAiC4AqJEYIgCIIguEJihCAIgiAIrpAYIQiCIAiCKyRGCIIgCILgCokRgiAIgiC48v8BISUXe5iZsCIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 575.819x383.879 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 1151.64x959.698 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": {
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n=r(50222),i=r(13582).overrideAll,a=r(78032).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\")},47979:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714);function a(t,e){var 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a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},9756:function(t,e,r){\"use strict\";var n=r(3377).drawRaw,i=r(25802),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],c=!1,u=0;u<3;u++){var h=a[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?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))}}},83348:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(38239)}}},layoutAttributes:r(38239),handleDefaults:r(34232),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(47979),draw:r(9756)}},37177:function(t,e,r){\"use 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c.coerce(a,s,_,t,e)}return v(a,s,u,l,n),x(a,s,u,l),s}(r,e,q);lt.position=J+(o?z+I/B.w:O+P/B.h);var ct=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ct&&(lt.title.side=V,lt.titlex=z+I/B.w,lt.titley=ot+(\"top\"===U.side?Q-P/B.h:P/B.h)),o||ct||(lt.title.side=V,lt.titley=O+P/B.h,lt.titlex=ot+I/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ut=Z.size,ht=c.constrain(K/50,4,15)+1,ft=(q[1]-q[0])/((e.nticks||ht)*ut);if(ft>1){var pt=Math.pow(10,Math.floor(Math.log(ft)/Math.LN10));ut*=pt*c.roundUp(ft/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ut}lt.domain=o?[ot+P/B.h,ot+Q-P/B.h]:[ot+I/B.w,ot+Q-I/B.w],lt.setScale(),t.attr(\"transform\",u(Math.round(B.l),Math.round(B.t)));var dt,mt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,vt=t.select(\".\"+A.cbaxis),xt=0,_t=0;function bt(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,h(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ct||!o&&!ct)&&(\"top\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=P+B.t+et*O+3+.75*yt,t=I+B.l+tt*ot),bt(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ct||o&&ct){var a,l=t.select(\".\"+A.cbtitle),h=l.select(\"text\"),f=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),m=15.6;if(h.node()&&(m=parseInt(h.node().style.fontSize,10)*w),d?(a=p.bBox(d),_t=a.width,(xt=a.height)>m&&(f[1]-=(xt-m)/2)):h.node()&&!h.classed(A.jsPlaceholder)&&(a=p.bBox(h.node()),_t=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,f[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(h);f[1]+=(1-y)*m}l.attr(\"transform\",u(f[0],f[1])),lt.setScale()}}else _t&&(\"right\"===V&&(lt.domain[0]+=(_t+yt/2)/B.w),l.attr(\"transform\",u(f[0],f[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(B.h*(1-lt.domain[1]))):u(Math.round(B.w*lt.domain[0]),0)),vt.attr(\"transform\",o?u(0,Math.round(-B.t)):u(Math.round(-B.l),0));var v=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);v.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),v.exit().remove();var 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e?e.ypx:J[0]._length/2;if(e.pointerX=_t+$[0]._offset,e.pointerY=bt+J[0]._offset,nt=\"xval\"in e?x.flat(_,e.xval):x.p2c($,_t),it=\"yval\"in e?x.flat(_,e.yval):x.p2c(J,bt),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),m.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(ht=S,x.isUnifiedHover(ht)&&(ht=ht.charAt(0)),\"splom\"===lt.type?ct=_[ut=0]:(ct=x.getSubplot(lt),ut=_.indexOf(ct)),dt={cd:st,trace:lt,xa:$[ut],ya:J[ut],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},b[ct]&&(dt.subplot=b[ct]._subplot),b._splomScenes&&b._splomScenes[lt.uid]&&(dt.scene=b._splomScenes[lt.uid]),\"array\"===ht){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ht=\"closest\"):(ht=\"\",\"xval\"in a&&(ft=a.xval,ht=\"x\"),\"yval\"in a&&(pt=a.yval,ht=ht?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,pt=n):(ft=nt[ut],pt=it[ut]);if(mt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ft,pt,ht,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,c=0;c<s.length;c++)l=s[c],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>mt&&(gt.splice(0,mt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var u=lt._module.hoverPoints(dt,ft,pt,\"closest\",{hoverLayer:b._hoverlayer});if(u&&(u=u.filter((function(t){return t.spikeDistance<=rt}))),u&&u.length){var h,f=u.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(f.length){var p=f[0];i(p.x0)&&i(p.y0)&&(h=Et(p),(!vt.vLinePoint||vt.vLinePoint.spikeDistance>h.spikeDistance)&&(vt.vLinePoint=h))}var m=u.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var g=m[0];i(g.x0)&&i(g.y0)&&(h=Et(g),(!vt.hLinePoint||vt.hLinePoint.spikeDistance>h.spikeDistance)&&(vt.hLinePoint=h))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)h&&h._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 Ct={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,It={vLinePoint:vt.vLinePoint,hLinePoint:vt.hLinePoint};t._spikepoints=It;var Pt=function(){var t=gt.filter((function(t){return h&&h._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(h&&h._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];v.traceIs(s.trace,\"bar-like\")||v.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 zt=S.charAt(0),Ot=(\"x\"===zt||\"y\"===zt)&&gt[0]&&I[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var Dt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Ot);vt.hLinePoint=Et(Dt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Ot);vt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=m.unhoverRaw(t,e);return!M||null===vt.hLinePoint&&null===vt.vLinePoint||U(Lt)&&j(t,vt,Ct),Ft}if(M&&U(Lt)&&j(t,vt,Ct),x.isXYhover(ht)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=L[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,b),q(\"y\",Bt,b));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=L[t.trace.type]?z(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,Zt=[],Wt=H(t),Yt=G(t);for(at=0;at<gt.length;at++){var Xt=gt[at],$t=x.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Jt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Jt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Jt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Kt=Xt.x0+Xt.xa._offset,Qt=Xt.x1+Xt.xa._offset,te=Xt.y0+Xt.ya._offset,ee=Xt.y1+Xt.ya._offset,re=Math.min(Kt,Qt),ne=Math.max(Kt,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);$t.bbox={x0:re+Yt,x1:ne+Yt,y0:ie+Wt,y1:ae+Wt}}Xt.eventData=[$t],Zt.push($t)}t._hoverdata=Zt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),le=D(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),ce=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,c,u,h=e?\"xa\":\"ya\",f=e?\"ya\":\"xa\",p=0,d=1,m=t.size(),g=new Array(m),y=0,v=n.minX,x=n.maxX,_=n.minY,b=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++)(c=t[s]).pos+c.dp+c.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos>e.pmax-1&&(c.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((c=t[s]).pos<e.pmin+1)for(c.del=!0,n--,o=2*c.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos+c.dp+c.size>e.pmax&&(c.del=!0,n--)}}}for(t.each((function(t){var n=t[h],i=t[f],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 c,u,p=F(t,e),m=t.anchor,k=\"end\"===m?-1:1;if(\"middle\"===m)u=(c=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)u=(c=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);c=t.crossPos+Math.min(M,S),u=t.crossPos+Math.max(M,S)}a?void 0!==_&&void 0!==b&&Math.min(u,b)-Math.max(c,_)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==v&&void 0!==x&&Math.min(u,x)-Math.max(c,v)>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<=m;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],C=M[M.length-1],L=S[0];if((a=C.pos+C.dp+C.size-L.pos-L.dp+L.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),u=0,l=M.length-1;l>=0;l--)u+=M[l].dp;for(o=u/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 I=g[s];for(l=I.length-1;l>=0;l--){var P=I[l],z=P.datum;z.offset=P.dp,z.del=P.del}}}(ce,oe,b,le.commonLabelBoundingBox),B(ce,oe,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=v.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Zt);f(n.select(l),ue?\"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:$,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=D(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),h=Math.max(r,n),f=Math.min(s,l),p=Math.max(s,l),m=t.trace;if(v.traceIs(m,\"gl3d\")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;u+=y,h+=y,f+=x,p+=x}c.bbox={x0:u+o,x1:h+o,y0:f+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!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:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var O=/<extra>([\\s\\S]*)<\\/extra>/;function D(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,f=e.container,m=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||_.HOVERFONT,k=e.fontSize||_.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,L=e.fontTextcase||i.font.textcase,I=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,O=t[0],D=O.xa,F=O.ya,B=a.charAt(0),N=B+\"Label\",j=O[N];if(void 0===j&&\"multicategory\"===D.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=Z(r,m),q=V.top,H=V.width,G=V.height,W=void 0!==j&&O.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(W){var Y,X,$=!0;for(Y=0;Y<t.length;Y++)if($&&void 0===t[Y].zLabel&&($=!1),X=t[Y].hoverinfo||t[Y].trace.hoverinfo){var J=Array.isArray(X)?X:X.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){W=!1;break}}$&&(W=!1)}var K=f.selectAll(\"g.axistext\").data(W?[0]:[]);K.enter().append(\"g\").classed(\"axistext\",!0),K.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if(K.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)})),c=g.bgcolor||d.defaultLine,u=g.bordercolor||d.contrast(c),f=d.contrast(c),m=g.font,v={weight:m.weight||A,style:m.style||M,variant:m.variant||S,textcase:m.textcase||L,lineposition:m.lineposition||I,shadow:m.shadow||P,family:m.family||y,size:m.size||k,color:m.color||f};e.style({fill:c,stroke:u}),s.text(j).call(p.font,v).call(h.positionText,0,0).call(h.convertToTspans,r),t.attr(\"transform\",\"\");var x,_,b=Z(r,s.node());if(\"x\"===a){var w=\"top\"===D.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(h.positionText,0,\"top\"===D.side?q-b.bottom-E-C:q-b.top+E+C),x=D._offset+(O.x0+O.x1)/2,_=F._offset+(\"top\"===D.side?0:F._length);var T=b.width/2+C,z=x;x<T?z=T:x>i.width-T&&(z=i.width-T),e.attr(\"d\",\"M\"+(x-z)+\",0L\"+(x-z+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*C+b.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-z-E)+\"Z\"),x=z,Q.minX=x-T,Q.maxX=x+T,\"top\"===D.side?(Q.minY=_-(2*C+b.height),Q.maxY=_-C):(Q.minY=_+C,Q.maxY=_+(2*C+b.height))}else{var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=D._offset+D._length):(R=\"end\",B=-1,N=\"-\",x=D._offset),_=F._offset+(O.y0+O.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(C+b.height/2)+\"h\"+N+(2*C+b.width)+\"V-\"+(C+b.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=_-(C+b.height/2),Q.maxY=_+(C+b.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*C+b.width)):(Q.minX=x-E-(2*C+b.width),Q.maxX=x-E);var U,V=b.height/2,H=q-b.top-V,G=\"clip\"+i._uid+\"commonlabel\"+F._id;if(x<b.width+2*C+E){U=\"M-\"+(E+C)+\"-\"+V+\"h-\"+(b.width-C)+\"V\"+V+\"h\"+(b.width-C)+\"Z\";var W=b.width-x+C;h.positionText(s,W,H),\"end\"===R&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=Z(r,e.node());Math.round(i.width)<Math.round(b.width)&&t.attr(\"x\",W-i.width),e.remove()}))}else h.positionText(s,B*(C+E),H),U=null;var Y=i._topclips.selectAll(\"#\"+G).data(U?[0]:[]);Y.enter().append(\"clipPath\").attr(\"id\",G).append(\"path\"),Y.exit().remove(),Y.select(\"path\").attr(\"d\",U),p.setClipUrl(s,U?G:null,r)}t.attr(\"transform\",l(x,_))})),x.isUnifiedHover(a)){f.selectAll(\"g.hovertext\").remove();var tt=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===tt.length)return[];var 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};b(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),ct=lt[0],ut=lt[1];st.name=ut,st.text=\"\"!==ut?ut+\" : \"+ct:ct;var ht=st.cd[st.index];ht&&(ht.mc&&(st.mc=ht.mc),ht.mcc&&(st.mc=ht.mcc),ht.mlc&&(st.mlc=ht.mlc),ht.mlcc&&(st.mlc=ht.mlcc),ht.mlw&&(st.mlw=ht.mlw),ht.mrc&&(st.mrc=ht.mrc),ht.dir&&(st.dir=ht.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=f,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,c=r.event,u=!!e.hLinePoint,h=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),h||u){var f=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,y,v=e.hLinePoint;n=v&&v.xa,\"cursor\"===(i=v&&v.ya).spikesnap?(m=c.pointerX,y=c.pointerY):(m=n._offset+v.x,y=i._offset+v.y);var x,_,b=a.readability(v.color,f)<1.5?d.contrast(f):v.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||b,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,_=m),-1!==w.indexOf(\"across\")){var 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n=r(80337),i=r(10229);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=f.title;f._titleWidth=0,f._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(c.font,H.font).text(H.text),C(V,q,t,f,b)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(u.fill,p.scrollBarColor)})),Z=q.selectAll(\"g.groups\").data(S);Z.enter().append(\"g\").attr(\"class\",\"groups\"),Z.exit().remove();var W=Z.selectAll(\"g.traces\").data(i.identity);W.enter().append(\"g\").attr(\"class\",\"traces\"),W.exit().remove(),W.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,f)})).call(x,t,f).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 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P=S,z=E;S=k?i.constrain(S,0,d.width-f._width):P,E=M?i.constrain(E,0,d.height-f._effHeight):z,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==z&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}c.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||f._height<=f._maxHeight||t._context.staticPlot){var O=f._effHeight;T&&(O=f._height),U.attr({width:f._width-b,height:O-b,x:b/2,y:b/2}),c.setTranslate(q,0,0),j.select(\"rect\").attr({width:f._width-2*b,height:O-2*b,x:b,y:b}),c.setClipUrl(q,r,t),c.setRect(G,0,0,0,0),delete f._scrollY}else{var D,R,F,B=Math.max(p.scrollBarMinHeight,f._effHeight*f._effHeight/f._height),Z=f._effHeight-B-2*p.scrollBarMargin,W=f._height-f._effHeight,Y=Z/W,X=Math.min(f._scrollY||0,W);U.attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-b,x:b/2,y:b/2}),j.select(\"rect\").attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-2*b,x:b,y:b+X}),c.setClipUrl(q,r,t),K(X,B,Y),N.on(\"wheel\",(function(){K(X=i.constrain(f._scrollY+n.event.deltaY/Z*W,0,W),B,Y),0!==X&&X!==W&&n.event.preventDefault()}));var $=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;D=\"touchstart\"===t.type?t.changedTouches[0].clientY:t.clientY,F=X})).on(\"drag\",(function(){var t=n.event.sourceEvent;2===t.buttons||t.ctrlKey||(R=\"touchmove\"===t.type?t.changedTouches[0].clientY:t.clientY,X=function(t,e,r){var n=(r-e)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));G.call($);var J=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=X)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,X=function(t,e,r){var n=(e-r)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));q.call(J)}function K(e,r,n){f._scrollY=t._fullLayout[w]._scrollY=e,c.setTranslate(q,0,-e),c.setRect(G,f._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",b+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=c.getTranslate(N);v=e.x,x=e.y}},moveFn:function(t,r){if(void 0!==v&&void 0!==x){var n=v+t,i=x+r;c.setTranslate(N,n,i),e=l.align(n,f._width,_.l,_.l+_.w,f.xanchor),u=l.align(i+f._height,-f._height,_.t+_.h,_.t,f.yanchor)}},doneFn:function(){if(void 0!==e&&void 0!==u){var r={};r[w+\".x\"]=e,r[w+\".y\"]=u,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 c=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===c)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&f(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!==c&&f(r,t,n))}function M(t,e,r){var n,a,s=P(r),l=t.data()[0][0],u=l.trace,f=o.traceIs(u,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!f,m=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=f?l.label:u.name,u._meta&&(n=i.templateString(n,u._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(c.font,a).text(d?S(n,m):n);var y=r.indentation+r.itemwidth+2*p.itemGap;h.positionText(g,y,0),d?g.call(h.makeEditable,{gd:e,text:n}).call(C,t,e,r).on(\"edit\",(function(n){this.text(S(n,m)).call(C,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var c=o.getTransformIndices(a,\"groupby\"),h=c[c.length-1],f=i.keyedContainer(a,\"transforms[\"+h+\"].styles\",\"target\",\"value.name\");f.set(l.trace._group,n),s=f.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,u,f=r.borderwidth,d=(n===b?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*m;if(o){var g=c.bBox(o);l=g.height,u=g.width,n===b?c.setTranslate(a,f,f+.75*l):c.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===b?\"title\":\"\")+\"text\",v=t.select(y),x=h.lineCount(v),_=v.node();if(l=d*x,u=_?c.bBox(_).width:0,n===b)\"left\"===r.title.side&&(u+=2*p.itemGap),h.positionText(v,f+p.titlePad,f+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,u-=r.indentation+r.itemwidth),h.positionText(v,w,-d*((x-1)/2-.3))}}n===b?(r._titleWidth=u,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=u)}else t.remove()}(e,r,n,i)}))}function L(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function I(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])}}}},851:function(t,e,r){\"use strict\";var n=r(33626),i=r(57599);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),c=i.isReversed(e),u={},h=[],f=!1,p={},d=0,m=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===h.indexOf(n)?(h.push(n),f=!0,u[n]=[a]):u[n].push(a);else{var o=\"~~i\"+d;h.push(o),u[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],v=y[0],x=v.trace,_=x.legend,b=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[b]||(p[b]={}),o=0;o<y.length;o++){var w=y[o].label;p[b][w]||(g(_,b,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[b][w]=!0,m=Math.max(m,(w||\"\").length))}else g(_,b,v),m=Math.max(m,(x.name||\"\").length)}if(!h.length)return[];var T=!f||!l,k=[];for(a=0;a<h.length;a++){var A=u[h[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e})),k[a].sort(E);var C=k[a][0].trace,L=null;for(o=0;o<k[a].length;o++){var I=k[a][o].trace.legendgrouptitle;if(I&&I.text){L=I,s&&(I.font=e._groupTitleFont);break}}if(c&&k[a].reverse(),L){var P=!1;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){P=!0;break}k[a].unshift({i:-1,groupTitle:L,noClick:P,trace:{showlegend:C.showlegend,legendgroup:C.legendgroup,visible:\"toggleitem\"===e.groupclick||C.visible}})}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]]}return e._lgroupsLength=k.length,e._maxNameLength=m,k}},22165:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,c=s.legend.itemclick,u=s.legend.itemdoubleclick,h=s.legend.groupclick;if(1===r&&\"toggle\"===c&&\"toggleothers\"===u&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=!1):o=!1,1===r?l=c:2===r&&(l=u),l){var f=\"togglegroup\"===h,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var m=e._fullData,g=(s.shapes||[]).filter((function(t){return 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),h(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),b(t,\"geo\"),b(t,\"mapbox\"),b(t,\"map\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(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))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){b(t,\"mapbox\")}},u.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(t){return c(t,\"Reset 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n=r(5832),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}},17683:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(78032),o=r(50308);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 c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},95433:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(50308),supplyLayoutDefaults:r(17683),manage:r(75442)}},75442:function(t,e,r){\"use strict\";var n=r(5975),i=r(64726),a=r(33626),o=r(36040).isUnifiedHover,s=r(85393),l=r(5832),c=r(87632).DRAW_MODES,u=r(34809).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,h=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 f,p=r.modeBarButtons;f=Array.isArray(p)&&p.length?function(t){for(var e=u([],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(\" 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e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),E=o(e.hovermode),C=[];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,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}C.push(e)}}var I=[\"toImage\"];s.showEditInChartStudio?I.push(\"editInChartStudio\"):s.showSendToCloud&&I.push(\"sendDataToCloud\"),L(I);var P=[],z=[],O=[],D=[];(m||_||v||x||b)+y+g+w+T+k+A>1?(z=[\"toggleHover\"],O=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],z=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(z=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],z=[\"toggleHover\"],O=[\"resetViewMapbox\"]):T?(P=[\"zoomInMap\",\"zoomOutMap\"],z=[\"toggleHover\"],O=[\"resetViewMap\"]):_?z=[\"hoverClosestGl2d\"]:v?z=[\"hoverClosestPie\"]:M?(z=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):z=[\"toggleHover\"],m&&z.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var 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w=\"top\";l.isBottomAnchor(r)&&(_-=f,w=\"bottom\"),l.isMiddleAnchor(r)&&(_-=f/2,w=\"middle\"),h=Math.ceil(h),f=Math.ceil(f),x=Math.round(x),_=Math.round(_),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:h*d[b],r:h*m[b],b:f*m[w],t:f*d[w]}),o.attr(\"transform\",c(x,_))}(t,f,h,o._name,r)}))}},16383:function(t,e,r){\"use strict\";var n=r(50936),i=r(34809).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)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},44453:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(91032)}}},layoutAttributes:r(91032),handleDefaults:r(86255),draw:r(45431)}},63608:function(t,e,r){\"use 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n=r(34809),i=r(78032),a=r(5975),o=r(63608),s=r(66249);t.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,h,f=l.rangeslider,p=i.newContainer(c,\"rangeslider\");if(b(\"visible\")){b(\"bgcolor\",e.plot_bgcolor),b(\"bordercolor\"),b(\"borderwidth\"),b(\"thickness\"),b(\"autorange\",!c.isValidRange(f.range)),b(\"range\");var d=e._subplots;if(d)for(var m=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(m,a.id2name),y=0;y<g.length;y++){var v=g[y];u=f[v]||{},h=i.newContainer(p,v,\"yaxis\");var x,_=e[v];u.range&&_.isValidRange(u.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",_.range.slice())}p._input=f}}function b(t,e){return n.coerce(f,p,o,t,e)}function w(t,e){return n.coerce(u,h,s,t,e)}}},88887:function(t,e,r){\"use strict\";var 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b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",m.slideBoxClassName,(function(t){t.attr({y:0,cursor:m.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})})).attr({height:n._height,fill:m.slideBoxFill})}function w(t,e,r,n){var i=o.ensureSingle(t,\"g\",m.grabberMinClassName),a=o.ensureSingle(t,\"g\",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,\"stroke-width\":m.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",m.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",m.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:e._context.staticPlot?void 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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]),C=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+m.extraPad);a.attr(\"transform\",s(E,C)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],I=l._rl[1],P=I-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var z=r.locateBreaks(L,I);if(z.length){var O,D,R=0;for(O=0;O<z.length;O++)R+=(D=z[O]).max-D.min;var F=l._width/(I-L-R),B=[-F*L];for(O=0;O<z.length;O++)D=z[O],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<z.length;r++){var n=z[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),c=0,u=0;return\"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(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+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},55429:function(t,e,r){\"use strict\";var n=r(34809),i=r(63608),a=r(66249),o=r(80400);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(63608),handleDefaults:r(41295),calcAutorange:r(46223),draw:r(88887),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},66249:function(t){\"use 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w=f(t)&&t._fullLayout._activeSelectionIndex===e;w&&(v=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,v).call(s.dashLine,k?\"solid\":b,k?4+_:_);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(c,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var C=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(f(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,h(t)}}}(t,C)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){f(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,h(t))}t.exports={draw:h,drawOne:p,activateLastSelection:function(t){if(f(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,h(t)}}}},52307:function(t,e,r){\"use strict\";var n=r(94850).T,i=r(93049).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\"}}},43028:function(t){\"use 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v,x=o(a,c,h,d),_={xref:f._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(v=x[0]),v&&5===v.length&&\"select\"===m?(_.type=\"rect\",_.x0=v[0][1],_.y0=v[0][2],_.x1=v[2][1],_.y1=v[2][2]):(_.type=\"path\",f&&p&&l(x,f,p),_.path=s(x),v=null),i(c);for(var b=e.editHelpers,w=(b||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=c._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===c._fullLayout._activeSelectionIndex){var M=_;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(_),T):b?b.getUpdateObj():{}}}}},49801:function(t,e,r){\"use strict\";var n=r(34809).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)}}},44844:function(t,e,r){\"use strict\";var n=r(7028),i=r(88666);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(4327),supplyLayoutDefaults:r(2272),supplyDrawNewSelectionDefaults:r(43028),includeBasePlot:r(20706)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},88666:function(t,e,r){\"use strict\";var 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p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return h},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},87562:function(t,e,r){\"use strict\";var n=r(70414),i=n.drawMode,a=n.openMode,o=r(93391),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=r(49801),d=p.p2r,m=p.r2p,g=r(78534).clearOutline,y=r(81055),v=y.readPaths,x=y.writePaths,_=y.ellipseOver,b=y.fixDatesForPaths;function w(t,e,r){var 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=v(p,o,y,w),C={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||(C.fillcolor=g.fillcolor,C.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)C.type=\"rect\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[2][1],C.y1=n[2][2];else if(n&&\"drawline\"===r)C.type=\"line\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[1][1],C.y1=n[1][2];else if(n&&\"drawcircle\"===r){C.type=\"circle\";var L=n[s][1],I=n[l][1],P=n[c][1],z=n[u][1],O=n[s][2],D=n[l][2],R=n[c][2],F=n[u][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(L=m(y.xaxis,L),I=m(y.xaxis,I),P=m(y.xaxis,P),z=m(y.xaxis,z)),N&&(O=m(y.yaxis,O),D=m(y.yaxis,D),R=m(y.yaxis,R),F=m(y.yaxis,F));var j=(I+z)/2,U=(O+R)/2,V=_({x0:j,y0:U,x1:j+(z-I+P-L)/2*h,y1:U+(F-D+R-O)/2*f});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)),C.x0=V.x0,C.y0=V.y0,C.x1=V.x1,C.y1=V.y1}else C.type=\"path\",T&&k&&b(E,T,k),C.path=x(E),n=null;return C}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 c=w(t,e,a);g(r);for(var u=e.editHelpers,h=(u||{}).modifyItem,f=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(f[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var m=c;switch(d.type){case\"line\":case\"rect\":case\"circle\":h(\"x0\",m.x0-(d.x0shift||0)),h(\"x1\",m.x1-(d.x1shift||0)),h(\"y0\",m.y0-(d.y0shift||0)),h(\"y1\",m.y1-(d.y1shift||0));break;case\"path\":h(\"path\",m.path)}}}return void 0===n?(f.push(c),f):u?u.getUpdateObj():{}}},createShapeObj:w}},78534: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}}},49728:function(t,e,r){\"use strict\";var n=r(2956),i=r(34809),a=r(29714);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],c=r?l:i.cleanNumber(l);a.push(c)}}})),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 c=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(c(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,c,u,h,f,p,d,m=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),v=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),_=t._fullLayout._size,b=o(v,r.x0shift),w=o(v,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(v?\"domain\"===g?l=function(t){return v._offset+v._length*t}:(s=e.shapePositionToRange(v),l=function(t){return v._offset+v.r2p(s(t,!0))}):l=function(t){return _.l+_.w*t},x?\"domain\"===y?u=function(t){return x._offset+x._length*(1-t)}:(c=e.shapePositionToRange(x),u=function(t){return x._offset+x.r2p(c(t,!0))}):u=function(t){return _.t+_.h*(1-t)},\"path\"===m)return v&&\"date\"===v.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,c=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,u=t.charAt(0),h=n.paramIsX[u],f=n.paramIsY[u],p=n.numParams[u],d=t.substr(1).replace(n.paramRE,(function(t){return h[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):f[a]&&(t=\"pixel\"===s?r(c)-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)),u+d}))}(r,l,u);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);h=A+r.x0+b,f=A+r.x1+w}else h=l(r.x0)+b,f=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=u(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=u(r.y0)+T,d=u(r.y1)+k;if(\"line\"===m)return\"M\"+h+\",\"+p+\"L\"+f+\",\"+d;if(\"rect\"===m)return\"M\"+h+\",\"+p+\"H\"+f+\"V\"+d+\"H\"+h+\"Z\";var S=(h+f)/2,E=(p+d)/2,C=Math.abs(S-h),L=Math.abs(E-p),I=\"A\"+C+\",\"+L,P=S+C+\",\"+E;return\"M\"+P+I+\" 0 1,1 \"+S+\",\"+(E-L)+I+\" 0 0,1 \"+P+\"Z\"}},43701:function(t,e,r){\"use strict\";var n=r(28231);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(43144),supplyLayoutDefaults:r(74367),supplyDrawNewShapeDefaults:r(85522),includeBasePlot:r(20706)(\"shapes\"),calcAutorange:r(44959),draw:n.draw,drawOne:n.drawOne}},41235: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)}}},8606:function(t,e,r){\"use strict\";var n=r(80337),i=r(57891),a=r(93049).extendDeepAll,o=r(13582).overrideAll,s=r(49722),l=r(78032).templatedArray,c=r(64194),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},64194: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}},74537: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})}},44097:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=s.strTranslate,c=r(30635),u=r(78032).arrayEditor,h=r(64194),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR;function g(t){return h.autoMarginIdRoot+t._index}function y(t){return t._index}function v(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=b(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 u=e._dims={};u.inputAreaWidth=Math.max(h.railWidth,h.gripHeight);var f=t._fullLayout._size;u.lx=f.l+f.w*e.x,u.ly=f.t+f.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(f.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*h.stepInset)/(e._stepCount-1),y=a+h.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(y/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var v=o.tester.append(\"g\");r.each((function(t){var r=x(v,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,v.remove()}u.height=u.currentValueTotalHeight+h.tickOffset+e.ticklen+h.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var _=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,_=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,_=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[_],T.r=0,T.xr=e.x+e.len*m[_]):(T.x=e.x,T.l=u.outerLength*d[_],T.r=u.outerLength*m[_]),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-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=h.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var f=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(f=s.templateString(f,d)),u+=f}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function _(t,e,r){s.ensureSingle(t,\"rect\",h.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:h.gripWidth,height:h.gripHeight,rx:h.gripRadius,ry:h.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function b(t,e,r){var n=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",h.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+h.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(h.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,E(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*p+h.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var 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,u(t.layout,h.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 l=r.select(\".\"+h.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=C(t,n.mouse(i)[0]);function u(){var t=s(),a=C(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function f(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",f),o.on(\"touchend\",f)}}function M(t,e){var r=t.selectAll(\"rect.\"+h.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(h.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?h.tickOffset:h.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+h.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*h.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+h.stepInset+(r.inputAreaLength-2*h.stepInset)*Math.min(1,Math.max(0,e))}function C(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-h.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*h.stepInset-2*r.inputAreaStart)))}function L(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",h.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,h.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function I(t,e){var r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.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.\"+h.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(h.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var f=a[u];v(t,f)}c.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(I,r).call(w,r).call(M,r).call(L,t,r).call(_,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)}))}}},15359:function(t,e,r){\"use strict\";var n=r(64194);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(8606),supplyLayoutDefaults:r(74537),draw:r(44097)}},17240:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(44122),o=r(33626),s=r(34809),l=s.strTranslate,c=r(62203),u=r(78766),h=r(30635),f=r(20438),p=r(4530).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var m,g=t._fullLayout,y=r.propContainer,v=r.propName,x=r.placeholder,_=r.traceIndex,b=r.avoid||{},w=r.attributes,T=r.transform,k=r.containerGroup,A=1,M=y.title,S=(M&&M.text?M.text:\"\").trim(),E=!1,C=M&&M.font?M.font:{},L=C.family,I=C.size,P=C.color,z=C.weight,O=C.style,D=C.variant,R=C.textcase,F=C.lineposition,B=C.shadow,N=!!r.subtitlePropName,j=r.subtitlePlaceholder,U=(y.title||{}).subtitle||{text:\"\",font:{}},V=U.text.trim(),q=!1,H=1,G=U.font,Z=G.family,W=G.size,Y=G.color,X=G.weight,$=G.style,J=G.variant,K=G.textcase,Q=G.lineposition,tt=G.shadow;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(!0)&&(m=\"colorbarTitleText\");var et=t._context.edits[m];function rt(t,e){return void 0!==t&&void 0!==e&&t.replace(d,\" % \")===e.replace(d,\" % \")}\"\"===S?A=0:rt(S,x)&&(et||(S=\"\"),A=.2,E=!0),N&&(\"\"===V?H=0:rt(V,j)&&(et||(V=\"\"),H=.2,q=!0)),r._meta?S=s.templateString(S,r._meta):g._meta&&(S=s.templateString(S,g._meta));var nt,it=S||V||et;k||(k=s.ensureSingle(g._infolayer,\"g\",\"g-\"+e),nt=g._hColorbarMoveTitle);var at=k.selectAll(\"text.\"+e).data(it?[0]:[]);at.enter().append(\"text\"),at.text(S).attr(\"class\",e),at.exit().remove();var ot=null,st=e+\"-subtitle\",lt=V||et;if(N&&lt&&((ot=k.selectAll(\"text.\"+st).data(lt?[0]:[])).enter().append(\"text\"),ot.text(V).attr(\"class\",st),ot.exit().remove()),!it)return k;function ct(t,e){s.syncOrAsync([ut,ht],{title:t,subtitle:e})}function ut(r){var i,o=r.title,f=r.subtitle;if(!T&&nt&&(T={}),T?(i=\"\",T.rotate&&(i+=\"rotate(\"+[T.rotate,w.x,w.y]+\")\"),(T.offset||nt)&&(i+=l(0,(T.offset||0)-(nt||0)))):i=null,o.attr(\"transform\",i),o.style(\"opacity\",A*u.opacity(P)).call(c.font,{color:u.rgb(P),size:n.round(I,2),family:L,weight:z,style:O,variant:D,textcase:R,shadow:B,lineposition:F}).attr(w).call(h.convertToTspans,t,(function(t){if(t){var e=n.select(t.node().parentNode).select(\".\"+st);if(!e.empty()){var r=t.node().getBBox();if(r.height){var i=r.y+r.height+1.6*W;e.attr(\"y\",i)}}}})),f){var p=k.select(\".\"+e+\"-math-group\"),d=o.node().getBBox(),m=p.node()?p.node().getBBox():void 0,g=m?m.y+m.height+1.6*W:d.y+d.height+1.6*W,y=s.extendFlat({},w,{y:g});f.attr(\"transform\",i),f.style(\"opacity\",H*u.opacity(Y)).call(c.font,{color:u.rgb(Y),size:n.round(W,2),family:Z,weight:X,style:$,variant:J,textcase:K,shadow:tt,lineposition:Q}).attr(y).call(h.convertToTspans,t)}return a.previousPromises(t)}function ht(e){var r=e.title,a=n.select(r.node().parentNode);if(b&&b.selection&&b.side&&S){a.attr(\"transform\",null);var o=p[b.side],u=\"left\"===b.side||\"top\"===b.side?-1:1,h=i(b.pad)?b.pad:2,f=c.bBox(a.node()),d={t:0,b:0,l:0,r:0},m=t._fullLayout._reservedMargin;for(var v in m)for(var x in m[v]){var _=m[v][x];d[x]=Math.max(d[x],_)}var w={left:d.l,top:d.t,right:g.width-d.r,bottom:g.height-d.b},T=b.maxShift||u*(w[b.side]-f[b.side]),k=0;if(T<0)k=T;else{var 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pt=at.node().getBBox(),dt=pt.y+pt.height+1.6*W;ot.attr(\"y\",dt)}V?ot.on(\".opacity\",null):(ft(ot,j),q=!0),ot.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){o.call(\"_guiRelayout\",t,\"title.subtitle.text\",e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct)})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,ot.attr(\"x\"),ot.attr(\"y\"))}))}return at.classed(\"js-placeholder\",E),ot&&ot.classed(\"js-placeholder\",q),k},SUBTITLE_PADDING_EM:1.6,SUBTITLE_PADDING_MATHJAX_EM:1.6}},85389:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=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:c,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\")},71559:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},42746:function(t,e,r){\"use strict\";var n=r(34809),i=r(59008),a=r(85389),o=r(71559).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},40974:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=r(30635),c=r(78032).arrayEditor,u=r(4530).LINE_SPACING,h=r(71559),f=r(21736);function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(h.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",h.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(v,i,u,t).call(M,i,f,p),s.ensureSingle(e,\"text\",h.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(h.arrowSymbol[i.direction])})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(h.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),f=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(f.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+h.gapButtonHeader:d=y.headerWidth+h.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-h.gapButtonHeader+h.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-y.openWidth);var _={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:_.x+o.borderwidth,t:_.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(v,o,s,t).call(M,o,_),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),c.on(\"mouseover\",(function(){c.call(w)})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(b,o)}))})),u.call(b,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=_.y-k.t):(k.w=_.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function v(t,e,r,n){t.call(x,e).call(_,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i=s.ensureSingle(t,\"text\",h.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function b(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.activeColor)}))}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.hoverColor)}function T(t,e){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(v,e,i,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),m=e.font.size*u,g=l.lineCount(f),y=Math.max(m*g,h.minHeight)+h.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+h.gapButton,r.openHeight+=y+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,_,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,c,_,e),d(c,e)&&y(t,r,c,_,e)):y(t,r,null,null,e)}))}}},46230:function(t,e,r){\"use strict\";var n=r(71559);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(85389),supplyLayoutDefaults:r(42746),draw:r(40974)}},21736:function(t,e,r){\"use strict\";t.exports=s;var n=r(45568),i=r(78766),a=r(62203),o=r(34809);function 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,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,m=this.position.w,g=this.position.t,y=this.position.h,v=this.position.direction,x=\"down\"===v,_=\"left\"===v,b=\"up\"===v,w=m,T=y;x||_||\"right\"===v||b||(this.position.direction=\"down\",x=!0),x||b?(h=(u=d)+w,x?(f=g,T=(p=Math.min(f+T,c))-f):T=(p=g+T)-(f=Math.max(p-T,0))):(p=(f=g)+T,_?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=C.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 L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(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:m,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||L){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),L&&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 s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},4530:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},35081:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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y=n/(h[2]-h[0])*(l[2]-l[0])+l[0],v=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=y,c.boxStart[1]=v,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=y,c.boxEnd[1]=v,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,_=Math.abs(c.dragStart[1]-i)<m;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&&_)x&&(c.boxEnd[0]=c.boxStart[0]),_&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var b=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*b)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(b)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(b))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/b*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(b)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(b)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},10749:function(t,e,r){\"use strict\";var n=r(29714),i=r(55010);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).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[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=i(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=i((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(r.zerolinecolor),this.zeroLineWidth[f]=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)}},24585:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(27672),a=r(6704),o=r(62972),s=r(54826),l=r(37703),c=r(6811),u=r(4173).KO;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(55126),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:c.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=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},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===u(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)}},27672:function(t,e,r){\"use strict\";var n,i,a=r(33626),o=r(29714),s=r(32141),l=r(99098).gl_plot2d,c=r(99098).gl_spikes2d,u=r(99098).gl_select_box,h=r(22248),f=r(10749),p=r(77055),d=r(97464),m=r(84391),g=m.enforce,y=m.clean,v=r(32919).doAutoRange,x=r(70414),_=x.drawMode,b=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(54826).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=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return 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 c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},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 c=n[r._name];c.range=s,c.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,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],v(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],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){b(t)||_(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 c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.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[m.trace.index]||{},y=m.pointIndex,v=s.castHoverinfo(g,i,y);if(v&&\"all\"!==v){var x=v.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,y,\"bgcolor\")||m.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}}},2487:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(6811),a=r(20299),o=r(4173).KO,s=r(34809),l=r(62972),c=\"gl3d\",u=\"scene\";e.name=c,e.attr=u,e.idRoot=u,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(22597),e.layoutAttributes=r(77168),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(15250),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[c],i=0;i<n.length;i++){var s=n[i],l=o(r,c,s),u=e[s],h=u.camera,f=u._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=f),f.viewInitial||(f.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),f.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[c]||[],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[c],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),u+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},22597:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},63397:function(t,e,r){\"use strict\";var n=r(78766),i=r(25829),a=r(93049).extendFlat,o=r(13582).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\")},34258:function(t,e,r){\"use strict\";var n=r(65657).mix,i=r(34809),a=r(78032),o=r(63397),s=r(4392),l=r(97655),c=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{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),f(\"gridcolor\",n(h.color,r.bgColor,72.72727272727273).toRgbString()),f(\"title.text\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},95701:function(t,e,r){\"use strict\";var n=r(55010),i=r(34809),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}},15250:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(33626),o=r(4448),s=r(34258),l=r(77168),c=r(4173).KO,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".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 m=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:m,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,v=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&v&&x?x/Math.sqrt(y*y+v*v+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:u,attributes:l,handleDefaults:h,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})}},77168:function(t,e,r){\"use strict\";var n=r(63397),i=r(13792).u,a=r(93049).extendFlat,o=r(34809).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\"}}}},64087:function(t,e,r){\"use strict\";var n=r(55010),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}},32412:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(29714),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},25802: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])))}},20299:function(t,e,r){\"use strict\";var n,i,a=r(99098).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(22248),c=r(74043),u=r(33626),h=r(34809),f=h.preserveDrawingBuffer(),p=r(29714),d=r(32141),m=r(55010),g=r(97464),y=r(25802),v=r(95701),x=r(64087),_=r(32412),b=r(32919).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=v(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=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:f,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||f)r=!1;else{h.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{f=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){f=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)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},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),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(f)&&(u=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!==u){var v=y(e.glplot.cameraParams,f.dataCoordinate);t=u.data;var x,b=r._fullData[t.index],T=f.index,k={xLabel:g(\"x\",f.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",f.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",f.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(b,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;b.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(f.textLabel=void 0),-1===M.indexOf(\"name\")&&(u.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",f.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",f.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",f.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=f.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):x=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:T};d.appendArrayPointValue(C,b,T),t._module.eventData&&(C=b._module.eventData(C,f,b,{},T));var L={points:[C]};if(e.fullSceneLayout.hovermode){var I=[];d.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:u.name,color:d.castHoverOption(b,T,\"bgcolor\")||u.color,borderColor:d.castHoverOption(b,T,\"bordercolor\"),fontFamily:d.castHoverOption(b,T,\"font.family\"),fontSize:d.castHoverOption(b,T,\"font.size\"),fontColor:d.castHoverOption(b,T,\"font.color\"),nameLength:d.castHoverOption(b,T,\"namelength\"),textAlign:d.castHoverOption(b,T,\"align\"),hovertemplate:h.castOption(b,T,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},C,k),eventData:[C]},{container:n,gd:r,inOut_bbox:I}),C.bbox=I[0]}f.distance<5&&(f.buttons||w)?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,c,u=e[n.id],h=r[n.id];n.fullLayout=e,n.fullSceneLayout=u,n.axesOptions.merge(e,u),n.spikeOptions.merge(u),n.setViewport(u),n.updateFx(u.dragmode,u.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(m(u.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var p=[1,1,1];for(s=0;s<3;++s)f[1][s]===f[0][s]?p[s]=1:p[s]=1/(f[1][s]-f[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],v=[],x={};for(o=0;o<3;++o){var _;if((c=(l=u[M[o]]).type)in x?(x[c].acc*=p[o],x[c].count+=1):x[c]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,C=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-C),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+C)}for(s=0;s<T.length;s++){var L=T[s];if(L.visible){var I=l.r2l(L[k]);y[0][o]=Math.min(y[0][o],I),y[1][o]=Math.max(y[1][o],I)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32}if(_=[y[0][o],y[1][o]],_=b(_,l),y[0][o]=_[0],y[1][o]=_[1],l.isReversed()){var z=y[0][o];y[0][o]=y[1][o],y[1][o]=z}}else _=l.range,y[0][o]=l.r2l(_[0]),y[1][o]=l.r2l(_[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),v[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var O=u.aspectmode;if(\"cube\"===O)g=[1,1,1];else if(\"manual\"===O){var D=u.aspectratio;g=[D.x,D.y,D.z]}else{if(\"auto\"!==O&&\"data\"!==O)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[c=(l=u[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===O||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}u.aspectratio.x=h.aspectratio.x=g[0],u.aspectratio.y=h.aspectratio.y=g[1],u.aspectratio.z=h.aspectratio.z=g[2],n.glplot.setAspectratio(u.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:u.aspectratio.x,y:u.aspectratio.y,z:u.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=u.aspectmode);var B=u.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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e=t.id;if(!f[e]&&e.includes(\"-15\")){f[e]=!0;var r=new Image(15,15);r.onload=function(){h.addImage(e,r)},r.crossOrigin=\"Anonymous\",r.src=\"https://unpkg.com/maki@2.1.0/icons/\"+e+\".svg\"}})),h.setTransformRequest((function(t){return{url:t=(t=(t=t.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\")}})),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var p=[];p.push(new 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u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(h=u.split(\"trace-\")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf(\"layout-\")&&(h=u.split(\"layout-\")[1],this.layerList[h]&&(this.layerList[h].below=null))}};var b={choroplethmap:0,densitymap:1,scattermap:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,y.stylesMap[t]?e.style=y.stylesMap[t]:e.style=t):(e.id=y.styleValueDflt,e.style=function(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return b[t[0].trace.type]-b[e[0].trace.type]}));for(n=0;n<o.length;n++){var 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i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(v(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},t.exports=x},44245:function(t,e,r){\"use strict\";var n=r(62994),i=\"1.13.4\",a='© <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',o=['© <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',a].join(\" \"),s=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" 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e,r,s=this,c=s.isSmith,u=s.gd,h=s.layers,f=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,C=s.sectorInRad,L=s.vangles,I=s.radialAxis,P=E.clampTiny,z=E.findXYatLength,O=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(h,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){v.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||y.unhover(u,t)};var B,N,j,U,V,q,H,G,Z,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function Y(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return Y(t-A,e-M)}function $(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*D);var 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z,O,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,v,v),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&f<h,{transform:l(_,b)}),N.prepFn=function(){z=null,O=null,D=null,N.moveFn=j,N.doneFn=q,w(c)},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(z)z(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)||(z=s<.5?H:G)}var l={};!function(t){null!==O?t[i.id+\".radialaxis.angle\"]=O:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function q(){null!==O?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",O):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=_+t,a=b+e;O=Math.atan2(d-a,n-p),i.vangles&&(O=U(O,i.vangles)),O=F(O);var o=l(p,d)+s(-O);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],v=d.y[1]-d.y[0],x=y*e.w,_=v*e.h,b=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*_?i=(a=_)*E:a=(i=x)/E,o=y*i/x,l=v*a/_,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=b,p.xaxis={type:\"linear\",range:[w+2*k-b,b-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},h(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,b-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},h(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=f({},t.aaxis,{range:[w,b-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=f({},t.baxis,{range:[b-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});h(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=f({},t.caxis,{range:[b-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var c=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),u=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=_.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-c,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=_.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-u,y:e.y0+e.h+.83*o.title.font.size+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=_.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+u,y:e.y0+e.h+.83*s.title.font.size+u,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],c=a+\"tickLayout\",u=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[c]!==u&&(l.selectAll(\".\"+s+\"tick\").remove(),r[c]=u),t.setScale();var h=d.calcTicks(t),f=d.clipEnds(t,h),p=d.makeTransTickFn(t),m=d.getTickSigns(t)[2],g=o.deg2rad(30),y=m*(t.linewidth||1)/2,v=m*t.ticklen,x=r.w,_=r.h,b=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+y+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,w={a:\"M0,0l\"+_+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+_,c:\"M0,0l-\"+_+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?f:h,layer:l,path:b,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:f,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:h,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var C=A.MINZOOM/2+.87,L=\"m-0.87,.5h\"+C+\"v3h-\"+(C+5.2)+\"l\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l2.6,1.5l-\"+C/2+\",\"+.87*C+\"Z\",I=\"m0.87,.5h-\"+C+\"v3h\"+(C+5.2)+\"l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-2.6,1.5l\"+C/2+\",\"+.87*C+\"Z\",P=\"m0,1l\"+C/2+\",\"+.87*C+\"l2.6,-1.5l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-\"+(C/2+2.6)+\",\"+(.87*C+4.5)+\"l2.6,1.5l\"+C/2+\",-\"+.87*C+\"Z\",z=!0;function O(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,h,f,p,d,y,_,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),C=M.graphDiv,D=C._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=C._fullLayout.clickmode;O(C),2===t&&(C.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",C,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,C,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(C,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,v=(m+g)/2,x=g-m,b=(1-l)*M.h,w=b-x/E;x<A.MINZOOM?(p=h,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:h.a+l*f,b:h.b+c*f,c:h.c+u*f},T.attr(\"d\",y+\"M\"+m+\",\"+b+\"H\"+g+\"L\"+v+\",\"+w+\"L\"+m+\",\"+b+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+m+\",\"+b+L+\"M\"+g+\",\"+b+I+\"M\"+v+\",\"+w+P)),_||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),_=!0),C.emit(\"plotly_relayouting\",R(p))}function V(){O(C),p!==h&&(a.call(\"_guiRelayout\",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,\"Double-click to zoom back out\"),\"long\"),z=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:h.a-n,b:h.b+(r+n)/2,c:h.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(h.a-p.a)*M.yaxis._m,t=(h.c-p.c-h.b+p.b)*M.xaxis._m);var f=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",f);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),C.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:M.id,domain:C._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var m=M.dragOptions.dragmode=C._fullLayout.dragmode;v(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===m?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,f=M.aaxis.range[1]-h.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",_=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(C)}(0,l,u)):\"pan\"===m?(M.dragOptions.moveFn=q,M.dragOptions.clickFn=F,M.dragOptions.doneFn=H,h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,M.clearOutline(C)):(x(m)||v(m))&&b(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(C,t,M.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){C._dragging||m.unhover(C,t)},m.init(this.dragOptions)}},33626:function(t,e,r){\"use strict\";var n=r(48636),i=r(4969),a=r(36539),o=r(56174),s=r(95425).addStyleRule,l=r(93049),c=r(9829),u=r(6704),h=l.extendFlat,f=l.extendDeepAll;function p(t){var i=t.name,a=t.categories,o=t.meta;if(e.modules[i])n.log(\"Type \"+i+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)_(i,t.name)}(t.basePlotModule);for(var l={},c=0;c<a.length;c++)l[a[c]]=!0,e.allCategories[a[c]]=!0;for(var u in e.modules[i]={_module:t,categories:l},o&&Object.keys(o).length&&(e.modules[i].meta=o),e.allTypes.push(i),e.componentsRegistry)v(u,i);t.layoutAttributes&&h(e.traceLayoutAttributes,t.layoutAttributes);var f=t.basePlotModule,p=f.name;if(\"mapbox\"===p){var d=f.constants.styleRules;for(var m in d)s(\".js-plotly-plot .plotly .mapboxgl-\"+m,d[m])}\"map\"===p&&r(96144),\"geo\"!==p&&\"mapbox\"!==p&&\"map\"!==p||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var n in e.componentsRegistry[r]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(e.layoutArrayContainers,r),y(t)),e.modules)v(r,n);for(var i in e.subplotsRegistry)_(r,i);for(var o in e.transformsRegistry)x(r,o);t.schema&&t.schema.layout&&f(u,t.schema.layout)}function m(t){if(\"string\"!=typeof t.name)throw new Error(\"Transform module *name* must be a string.\");var r=\"Transform module \"+t.name,i=\"function\"==typeof t.transform,a=\"function\"==typeof t.calcTransform;if(!i&&!a)throw new Error(r+\" is missing a *transform* or *calcTransform* method.\");for(var s in i&&a&&n.log([r+\" has both a *transform* and *calcTransform* methods.\",\"Please note that all *transform* methods are executed\",\"before all *calcTransform* methods.\"].join(\" \")),o(t.attributes)||n.log(r+\" registered without an *attributes* object.\"),\"function\"!=typeof t.supplyDefaults&&n.log(r+\" registered without a *supplyDefaults* method.\"),e.transformsRegistry[t.name]=t,e.componentsRegistry)x(s,t.name)}function g(t){var r=t.name,n=r.split(\"-\")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=e.localeRegistry,c=l[r];if(c||(l[r]=c={}),n!==r){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function y(t){if(t.layoutAttributes){var r=t.layoutAttributes._arrayAttrRegexps;if(r)for(var n=0;n<r.length;n++)a(e.layoutArrayRegexes,r[n])}}function v(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[r];i&&f(e.modules[r]._module.attributes,i)}}function x(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[r];i&&f(e.transformsRegistry[r].attributes,i)}}function _(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.subplots){var i=e.subplotsRegistry[r],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var 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strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}},78931:function(t,e,r){\"use strict\";var n=r(33626),i=r(29714),a=r(34809),o=r(25412),s=r(17550).validateCornerradius;t.exports=function(t,e,r){function l(r,n){return a.coerce(t,e,o,r,n)}for(var c=!1,u=!1,h=!1,f={},p=l(\"barmode\"),d=0;d<r.length;d++){var m=r[d];if(n.traceIs(m,\"bar\")&&m.visible){if(c=!0,\"group\"===p){var g=m.xaxis+m.yaxis;f[g]&&(h=!0),f[g]=!0}m.visible&&\"histogram\"===m.type&&\"category\"!==i.getFromId({_fullLayout:e},m[\"v\"===m.orientation?\"xaxis\":\"yaxis\"]).type&&(u=!0)}}if(c){\"overlay\"!==p&&l(\"barnorm\"),l(\"bargap\",u&&!h?0:.2),l(\"bargroupgap\");var y=l(\"barcornerradius\");e.barcornerradius=s(y)}else delete e.barmode}},32995:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(30635),s=r(78766),l=r(62203),c=r(33626),u=r(29714).tickText,h=r(84102),f=h.recordMinTextSize,p=h.clearMinTextSize,d=r(6851),m=r(42843),g=r(56155),y=r(81481),v=y.text,x=y.textposition,_=r(36040).appendArrayPointValue,b=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t){return(t>0)-(t<0)}function A(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&S(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){i&&i()})).each(\"interrupt\",(function(){i&&i()}))):t}function S(t){return t&&t.duration>0}function E(t,e,r,n,i){return!(t<0||e<0)&&(r<=t&&n<=e||r<=e&&n<=t||(i?t>=r*(e/n):e>=n*(t/r)))}function C(t){return\"auto\"===t?0:t}function L(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function I(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor,u=\"end\"===c,h=\"start\"===c,f=((a.leftToRight||0)+1)/2,p=1-f,d=a.hasB,m=a.r,g=a.overhead,y=i.width,v=i.height,x=Math.abs(e-t),_=Math.abs(n-r),w=x>2*b&&_>2*b?b:0;x-=2*w,_-=2*w;var T=C(l);\"auto\"!==l||y<=x&&v<=_||!(y>x||v>_)||(y>_||v>x)&&y<v==x<_||(T+=90);var k,M,S=L(i,T);if(m&&m-g>b){var E=function(t,e,r,n,i,a,o,s,l){var c,u,h,f,p=Math.max(0,Math.abs(e-t)-2*b),d=Math.max(0,Math.abs(n-r)-2*b),m=a-b,g=o?m-Math.sqrt(m*m-(m-o)*(m-o)):m,y=l?2*m:s?m-o:2*g,v=l?2*m:s?2*g:m-o;return 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B=o?A(t,e):A(r,n);o?h?(z=t+B*w,D=-B*F):(z=e-B*w,D=B*F):h?(O=r+B*w,R=-B*F):(O=n-B*w,R=B*F)}return{textX:I,textY:P,targetX:z,targetY:O,anchorX:D,anchorY:R,scale:k,rotate:T}}t.exports={plot:function(t,e,r,h,g,y){var w=e.xaxis,P=e.yaxis,z=t._fullLayout,O=t._context.staticPlot;g||(g={mode:z.barmode,norm:z.barmode,gap:z.bargap,groupgap:z.bargroupgap},p(\"bar\",z));var D=a.makeTraceGroups(h,r,\"trace bars\").each((function(r){var c=n.select(this),h=r[0].trace,p=r[0].t,D=\"waterfall\"===h.type,R=\"funnel\"===h.type,F=\"histogram\"===h.type,B=\"bar\"===h.type,N=B||R,j=0;D&&h.connector.visible&&\"between\"===h.connector.mode&&(j=h.connector.line.width/2);var U=\"h\"===h.orientation,V=S(g),q=a.ensureSingle(c,\"g\",\"points\"),H=T(h),G=q.selectAll(\"g.point\").data(a.identity,H);G.enter().append(\"g\").classed(\"point\",!0),G.exit().remove(),G.each((function(c,T){var S,D,R=n.select(this),q=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return 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r,n=U?Math.abs(W-Z):Math.abs(G-H),i=U?Math.abs(G-H):Math.abs(W-Z),a=J(Math.abs(Q(K,!0)-Q(0,!0))),o=c.hasB?Math.min(n/2,i/2):Math.min(n/2,a);return r=\"%\"===e?n*(Math.min(50,t)/100):t,J(Math.max(Math.min(r,o),0))}(p.cornerradiusvalue,p.cornerradiusform):0,nt=\"M\"+H+\",\"+Z+\"V\"+W+\"H\"+G+\"V\"+Z+\"Z\",it=0;if(rt&&c.s){var at=0===k(c.s0)||k(c.s)===k(c.s0)?c.s1:c.s0;if((it=J(c.hasB?0:Math.abs(Q(K,!0)-Q(at,!0))))<rt){var ot=A(H,G),st=A(Z,W),lt=ot===-st?1:0;if(U)if(c.hasB)tt=\"M\"+(H+rt*ot)+\",\"+Z+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+H+\",\"+(Z+rt*st)+\"V\"+(W-rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(H+rt*ot)+\",\"+W+\"H\"+(G-rt*ot)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+G+\",\"+(W-rt*st)+\"V\"+(Z+rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(G-rt*ot)+\",\"+Z+\"Z\";else{var ct=(et=Math.abs(G-H)+it)<rt?rt-Math.sqrt(et*(2*rt-et)):0,ut=it>0?Math.sqrt(it*(2*rt-it)):0,ht=ot>0?Math.max:Math.min;tt=\"M\"+H+\",\"+Z+\"V\"+(W-ct*st)+\"H\"+ht(G-(rt-it)*ot,H)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" 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mt=M(a.ensureSingle(R,\"path\"),z,g,y);if(mt.style(\"vector-effect\",O?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((G-H)*(W-Z))||Y&&t._context.staticPlot?\"M0,0Z\":tt).call(l.setClipUrl,e.layerClipId,t),!z.uniformtext.mode&&V){var gt=l.makePointStyleFns(h);l.singlePointStyle(c,mt,h,gt,t)}!function(t,e,r,n,i,s,c,h,p,g,y,w,T){var k,S=e.xaxis,P=e.yaxis,z=t._fullLayout;function O(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+k,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var D=n[0].trace,R=\"h\"===D.orientation,F=function(t,e,r,n,i){var o,s=e[0].trace;return o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return\"\";var l,c,h,f,p=\"histogram\"===o.type,d=\"waterfall\"===o.type,m=\"funnel\"===o.type,g=\"h\"===o.orientation;function y(t){return u(f,f.c2l(t),!0).text}g?(l=\"y\",c=i,h=\"x\",f=n):(l=\"x\",c=n,h=\"y\",f=i);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,!0).text}var h,f,p=i.textinfo,d=t[e],m=p.split(\"+\"),g=[],y=function(t){return-1!==m.indexOf(t)};if(y(\"label\")&&g.push((f=t[e].p,u(o?n:r,f,!0).text)),y(\"text\")&&(0===(h=a.castOption(i,d.i,\"text\"))||h)&&g.push(h),s){var v=+d.rawS||d.s,x=d.v,_=x-v;y(\"initial\")&&g.push(c(_)),y(\"delta\")&&g.push(c(v)),y(\"final\")&&g.push(c(x))}if(l){y(\"value\")&&g.push(c(d.s));var b=0;y(\"percent initial\")&&b++,y(\"percent previous\")&&b++,y(\"percent total\")&&b++;var w=b>1;y(\"percent initial\")&&(h=a.formatPercent(d.begR),w&&(h+=\" of initial\"),g.push(h)),y(\"percent previous\")&&(h=a.formatPercent(d.difR),w&&(h+=\" of previous\"),g.push(h)),y(\"percent total\")&&(h=a.formatPercent(d.sumR),w&&(h+=\" of total\"),g.push(h))}return g.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r),m.coerceString(v,o)}(z,n,i,S,P);k=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>b;if(F&&\"none\"!==k&&(!N.isBlank&&s!==c&&h!==p||\"auto\"!==k&&\"inside\"!==k)){var q=z.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),Z=d.getOutsideTextFont(D,i,q),W=D.insidetextanchor||\"end\",Y=r.datum();R?\"log\"===S.type&&Y.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&Y.s0<=0&&(h=P.range[0]<P.range[1]?P._length:0);var X,$,J,K,Q,tt=Math.abs(c-s),et=Math.abs(p-h),rt=tt-2*b,nt=et-2*b;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",X=O(r,F,Q=a.ensureUniformFontSize(t,G)),J=($=l.bBox(X.node())).width,K=$.height;var it,at=J>0&&K>0;it=V?U?E(rt-2*g,nt,J,K,R)||E(rt,nt-2*g,J,K,R):R?E(rt-(g-y),nt,J,K,R)||E(rt,nt-2*(g-y),J,K,R):E(rt,nt-(g-y),J,K,R)||E(rt-2*(g-y),nt,J,K,R):E(rt,nt,J,K,R),at&&it?k=\"inside\":(k=\"outside\",X.remove(),X=null)}else k=\"inside\";if(!X){var ot=(X=O(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?Z:G))).attr(\"transform\");if(X.attr(\"transform\",\"\"),J=($=l.bBox(X.node())).width,K=$.height,X.attr(\"transform\",ot),J<=0||K<=0)return void X.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*b?b:0:f>2*b?b:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var m=C(c),g=L(i,m),y=(s?g.x:g.y)/2,v=(i.left+i.right)/2,x=(i.top+i.bottom)/2,_=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(_=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:v,textY:x,targetX:_,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:m}}(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):I(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:W,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,f(\"histogram\"===D.type?\"bar\":D.type,st,z),N.transform=st;var ct=M(X,z,w,T);a.setTransormAndDisplay(ct,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,Z,W,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(c,R.select(\"text\"),w,P,h.xcalendar,h.ycalendar)}));var Z=!1===h.cliponaxis;l.setClipUrl(c,Z?null:e.layerClipId,t)}));c.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:I}},88384: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,c=\"h\"===s.orientation,u=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var h=i[n],f=\"ct\"in h?h.ct:e(h,a,o,c,l);r.contains(f,!1,n,t)?(u.push({pointNumber:n,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0}return u}},2880:function(t,e,r){\"use strict\";t.exports=i;var n=r(34809).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 c=s[l],u=c.p;void 0===u&&(u=c[i]),void 0!==u&&a.push(u)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var h=n(a);this.distinctPositions=h.vals,1===h.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(h.minDiff,r);var 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c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),g=!1,y=0;y<c.length;y++){o=c[y];for(var v=0;v<(o.pts||[]).length;v++){var x=m(l=o.pts[v]);x<=t.distance&&(t.distance=x,g=[y,v])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var _=u.c2p(l.x,!0),b=h.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:_-w,x1:_+w,y0:b-w,y1:b+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return\"h\"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,!0),s(l,f,n),n}t.exports={hoverPoints:function(t,e,r,n){var 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=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},53794:function(t,e,r){\"use strict\";t.exports={attributes:r(64625),layoutAttributes:r(64636),supplyDefaults:r(62294).supplyDefaults,crossTraceDefaults:r(62294).crossTraceDefaults,supplyLayoutDefaults:r(65067).supplyLayoutDefaults,calc:r(89429),crossTraceCalc:r(81606).crossTraceCalc,plot:r(95419).plot,style:r(59979).style,styleOnSelect:r(59979).styleOnSelect,hoverPoints:r(11448).hoverPoints,eventData:r(76429),selectPoints:r(72488),moduleType:\"trace\",name:\"box\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},64636:function(t){\"use 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_=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);_.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),_.exit().remove(),_.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=h.c2l(t.pos+p,!0),a=h.l2p(e-s)+m,o=h.l2p(e+l)+m,_=f?(a+o)/2:h.l2p(e)+m,b=r.whiskerwidth,w=f?a*b+(1-b)*_:h.l2p(e-d)+m,T=f?o*b+(1-b)*_:h.l2p(e+d)+m,k=h.l2p(e-s*x)+m,A=h.l2p(e+l*x)+m,M=\"sd\"===r.sizemode,S=u.c2p(M?t.mean-t.sd:t.q1,!0),E=M?u.c2p(t.mean+t.sd,!0):u.c2p(t.q3,!0),C=i.constrain(M?u.c2p(t.mean,!0):u.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),L=void 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n=r(34809).isArray1D;t.exports=function(t,e,r){var i=r(\"x\"),a=i&&i.length,o=r(\"y\"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},92802:function(t,e,r){\"use strict\";var n=r(3208).rb,i=r(6893),a=r(87163),o=r(9829),s=r(10229).defaultLine,l=r(93049).extendFlat,c=i.marker.line;t.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},12702:function(t,e,r){\"use strict\";var 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t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(!e.hovertemplate){var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),h=-1!==s.indexOf(\"text\"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o)),u&&f.push(t.zLabel),h&&a(r,e,f),t.extraText=f.join(\"<br>\")}}(t,h,o),[t]}},58075:function(t,e,r){\"use 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d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var y=a.computeBbox(a.getTraceGeojson(r));h=[y[0],y[2]],f=[y[1],y[3]]}var v={padded:!0};r._extremes.lon=s(n.lonaxis._ax,h,v),r._extremes.lat=s(n.lataxis._ax,f,v)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var r=n.select(this).selectAll(\"path.choroplethlocation\").data(i.identity);r.enter().append(\"path\").classed(\"choroplethlocation\",!0),r.exit().remove(),l(t,e)}))}}},43727:function(t){\"use strict\";t.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},59342:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(62203),o=r(88856);function s(t,e){var 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n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},40980:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},94149:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(34770);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},9419:function(t,e,r){\"use strict\";t.exports={attributes:r(34770),supplyDefaults:r(94149),colorbar:r(12431),calc:r(12702),plot:r(30316),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}},30316:function(t,e,r){\"use strict\";var n=r(40980).convert,i=r(40980).convertOnSelect,a=r(8814).traceLayerPrefix;function o(t,e){this.type=\"choroplethmap\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t)),t[0].trace._glTrace=this},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var 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}},86227:function(t,e,r){\"use strict\";var n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},51335:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},8244:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(86227);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],_.min,0,_.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(_.max-_.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:h},c.heatmap.layout.visibility=\"visible\",c}},1892:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(17347);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},8919:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},54478:function(t,e,r){\"use strict\";var n=r(29714),i=r(18016).hoverPoints,a=r(18016).getExtraText;t.exports=function(t,e,r){var o=i(t,e,r);if(o){var 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n,i=r(81481),a=r(36640).line,o=r(9829),s=r(80712).axisHoverFormat,l=r(3208).rb,c=r(3208).ay,u=r(87948),h=r(93049).extendFlat,f=r(78766);t.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:h({},o.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent 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n=r(29714),i=r(40528),a=r(43179),o=r(48861),s=r(63821).BADNUM;function l(t){return t===s?0:t}t.exports=function(t,e){var r,c,u,h,f,p,d,m,g=n.getFromId(t,e.xaxis||\"x\"),y=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=g.makeCalcdata(e,\"x\"),u=y.makeCalcdata(e,\"y\"),h=i(e,y,\"y\",u),f=!!e.yperiodalignment,p=\"y\"):(r=y.makeCalcdata(e,\"y\"),u=g.makeCalcdata(e,\"x\"),h=i(e,g,\"x\",u),f=!!e.xperiodalignment,p=\"x\"),c=h.vals;var v,x=Math.min(c.length,r.length),_=new Array(x);for(e._base=[],d=0;d<x;d++){r[d]<0&&(r[d]=s);var b=!1;r[d]!==s&&d+1<x&&r[d+1]!==s&&(b=!0),m=_[d]={p:c[d],s:r[d],cNext:b},e._base[d]=-.5*m.s,f&&(_[d].orig_p=u[d],_[d][p+\"End\"]=h.ends[d],_[d][p+\"Start\"]=h.starts[d]),e.ids&&(m.id=String(e.ids[d])),0===d&&(_[0].vTotal=0),_[0].vTotal+=l(m.s),m.begR=l(m.s)/l(_[0].s)}for(d=0;d<x;d++)(m=_[d]).s!==s&&(m.sumR=m.s/_[0].vTotal,m.difR=void 0!==v?m.s/v:1,v=m.s);return a(_,e),o(_,e),_}},87948:function(t){\"use 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P=h.selectAll(\"g.value-bullet\").data([u.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(_)?P.select(\"rect\").transition().duration(_.duration).ease(_.easing).each(\"end\",(function(){b&&b()})).each(\"interrupt\",(function(){b&&b()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var z=r.filter((function(){return 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n=r(71293).wrap,i=r(65477).hasColorscale,a=r(28379),o=r(48965),s=r(62203),l=r(34809),c=r(10721);function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(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,m,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(!c(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.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var O=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(O),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 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",C).on(\"mouseout\",L),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",I).on(\"drag\",P).on(\"dragend\",z)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),f.exit().remove()}function 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 m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+i,b=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];o.loneHover({trace:f,x:_-d.left+m.left,y:b-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:f._input,fullData:f,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,f=h.model.dimensions[u.model.dimensionInd],p=h.trace,d=c.top+c.height/2;h.dimensions.length>1&&f.displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,y=m/u.parcatsViewModel.model.count,v={countLabel:m,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",v.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+v.categoryLabel+\"):\",v.probabilityLabel].join(\" \"));var _=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(c),M(c,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,c):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),h=c.categoryViewModel,f=h.parcatsViewModel,p=f.model.dimensions[h.model.dimensionInd],d=f.trace,m=l.y+l.height/2;f.dimensions.length>1&&p.displayInd===f.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=h.model.categoryLabel,y=c.parcatsViewModel.model.count,v=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(v+=t.count)}));var x=h.model.count,_=0;f.pathSelection.each((function(t){t.model.color===c.color&&(_+=t.model.count)}));var b=v/y,w=v/_,T=v/x,k={countLabel:v,categoryLabel:g,probabilityLabel:b.toFixed(3)},A=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:b,categorycount:x,colorcount:_,bandcolorcount:v}]}}(r,a,c):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,c)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function L(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function I(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function z(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return 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e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var 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b=y.categoryInds[_],w=i[_][b],T=a[_];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||y.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:y.color,rawColor:y.rawColor,height:g,width:k.width,count:y.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=y.count}}v=\"hspline\"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),f[m]={key:y.valueInds[0],model:y,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:v,parcatsViewModel:t}}t.paths=f}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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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,v(),!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),_(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(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(m).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 c=t.selectAll(\".highlight\").data(o);c.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\"),c.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]}}},79846:function(t,e,r){\"use strict\";t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},67207:function(t,e,r){\"use strict\";var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);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)}},20113:function(t,e,r){\"use strict\";var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).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})}},77911: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\"}}},12842:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},62935:function(t,e,r){\"use strict\";var n=r(34809).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)}},83910:function(t,e,r){\"use strict\";var n=r(79846);n.plot=r(58823),t.exports=n},1293: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(77911).maxDimensionCount,o=r(34809),s=1e-6,l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(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 f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(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 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left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},h,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},96052:function(t,e,r){\"use strict\";var n=r(44122);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)}},44148:function(t,e,r){\"use strict\";var n=r(10721),i=r(65657),a=r(78766),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||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<f;r++){var v,x,_;if(p){if(v=h[r],!n(v))continue;v=+v}else v=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var b=d[x=String(x)];void 0===b?(d[x]=a.length,(_=-1!==l.indexOf(x))||(g+=v),a.push({v:v,label:x,color:m(u[r],x),i:r,pts:[r],hidden:_})):(y=!0,(i=a[b]).v+=v,i.pts.push(r),i.hidden||(g+=v),!1===i.color&&u[r]&&(i.color=m(u[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 c=0,u=0;u<i.length;u++){var h=i[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},46979:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(55412),o=r(13792).N,s=r(17550).handleText,l=r(34809).coercePattern;function c(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 c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function u(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:c,handleMarkerDefaults:u,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var h=c(l(\"labels\"),l(\"values\")),f=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),f){e._length=f,u(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),m=l(\"texttemplate\");if(m||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),m||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 v=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},50568:function(t,e,r){\"use strict\";var n=r(36040).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}},75067:function(t,e,r){\"use strict\";var n=r(62203),i=r(78766);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)}},37252:function(t,e,r){\"use strict\";var n=r(34809);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}},49913:function(t,e,r){\"use strict\";t.exports={attributes:r(55412),supplyDefaults:r(46979).supplyDefaults,supplyLayoutDefaults:r(13464),layoutAttributes:r(4031),calc:r(44148).calc,crossTraceCalc:r(44148).crossTraceCalc,plot:r(35734).plot,style:r(140),styleOne:r(32891),moduleType:\"trace\",name:\"pie\",basePlotModule:r(96052),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},4031:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},13464:function(t,e,r){\"use strict\";var n=r(34809),i=r(4031);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\")}},35734:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(32141),o=r(78766),s=r(62203),l=r(34809),c=l.strScale,u=l.strTranslate,h=r(30635),f=r(84102),p=f.recordMinTextSize,d=f.clearMinTextSize,m=r(56155).TEXTPAD,g=r(37252),y=r(50568),v=r(34809).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,h=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var f=h.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:c._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),h.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),v=r.separators,x=[];if(f&&-1!==f.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(h.hovertext||h.text,t.pts),f&&-1!==f.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&x.push(_)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,v),f&&-1!==f.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,v),f&&-1!==f.indexOf(\"percent\")&&x.push(t.percentLabel);var b=h.hoverlabel,w=b.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.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(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(h.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,h)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,h)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function _(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,c=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,u=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,h=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,f=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:c,textcase:u,lineposition:h,shadow:f}}function b(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(h.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];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),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(h||f){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(h||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||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||f)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,_=0,b=0;b<m.length;b++){var w=m[b].scale;if(_<w&&(_=w,x=b),!d&&_>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);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*m);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 C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+i)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+i)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((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 c,u;i.aspectratio>1?u=(c=r.r)/i.aspectratio:c=(u=r.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var _=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),b=g.getFirstFilled(i.text,e.pts);(v(b)||\"\"===b)&&(_.text=b),e.text=l.texttemplateString(x,_,t._fullLayout._d3locale,_,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,f=a._size;d(\"pie\",a),b(e,t),z(e,f);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],y=m.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,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,n=O(a,s+=l*r.v/2),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var b=[[[],[]],[[],[]]],T=!1;v.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,b[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,f=n.select(this),d=f.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),f.call(x,t,e),y.pull){var v=+g.castOption(y.pull,i.pts)||0;v>0&&(c+=v*i.pxmid[0],u+=v*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=y.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,!0,1)+I(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,!1,k)+I(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=I(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),f=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):_(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,f).call(h.convertToTspans,t);var d,v=s.bBox(r.node());if(\"outside\"===E)d=C(v,i);else if(d=w(v,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=C(v=s.bBox(r.node()),i)}var b=d.textPosAngle,k=void 0===b?i.pxmid:O(m.r,b);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,v),d.outside){var A=d.targetY;i.yLabelMin=A-v.height/2,i.yLabelMid=A,i.yLabelMax=A+v.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=f.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function I(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.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(h.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}}(m):L(m,f),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,c,u,h,f,p,d,m;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,u,h,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-m;if(x*c>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*c>0?(x=h.cyFinal+o(h.px0[1],h.px1[1])-m-t.labelExtraY)*c>0&&(t.labelExtraY+=x):(y+t.labelExtraY-v)*c>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(p=h.cxFinal+a(h.px0[0],h.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:v,o=n?Math.max:Math.min,c=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;p<u.length;p++)void 0!==u[p].yLabelMid&&d.push(u[p]);for(m=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){m=h[p];break}for(p=0;p<d.length;p++){var _=p&&d[p-1];m&&!p&&(_=m),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]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=f.w*(M.x[1]-M.x[0]),E=f.h*(M.y[1]-M.y[0]),I=(.5*S-m.r)/f.w,P=(.5*E-m.r)/f.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-I,xr:M.x[1]+I,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:_,positionTitleOutside:L,prerenderTitles:b,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},140:function(t,e,r){\"use strict\";var n=r(45568),i=r(32891),a=r(84102).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)}))}))}},32891:function(t,e,r){\"use strict\";var n=r(78766),i=r(37252).castOption,a=r(75067);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,c=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",c).call(n.stroke,l)}},36961:function(t,e,r){\"use strict\";var n=r(36640);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}},71593:function(t,e,r){\"use strict\";var n=r(99098).gl_pointcloud2d,i=r(34809).isArrayOrTypedArray,a=r(55010),o=r(32919).findExtremes,s=r(11539);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 c=l.prototype;c.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}},c.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,{})},c.updateFast=function(t){var e,r,n,i,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)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=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)i=c[l],s=u[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;m[3]*=y,this.pointcloudOptions.color=m;var v=t.marker.blend;null===v&&(v=c.length<100||u.length<100),this.pointcloudOptions.blend=v,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,_=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=_,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var b=this.scene.xaxis,w=this.scene.yaxis,T=_/2||.5;t._extremes[b._id]=o(b,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},c.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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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 u=0;for(T=0;T<r.targetLinks.length;T++)u+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/u}}(),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 L=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=L[0]-d/2,A.nodes[w].x1=L[0]+d/2;var I=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=L[1]-I/2,A.nodes[w].y1=L[1]+I/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:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:u.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),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+a+\",\"+h,m=\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(h+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+f)+m+\"Z\"}}function S(t,e){var r=c(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=f.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:u.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 C(t){t.call(E)}function L(t,e){t.call(C),e.attr(\"d\",M())}function I(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 z(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function O(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 D(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&&(f.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),f.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),L(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)}_.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;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,_=r.filter((function(t){return v(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(_,g);b.exit().remove(),b.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\",z),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=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})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",z);var C=b.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);C.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=C.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(O,b,i.linkEvents),L.style(\"stroke\",(function(t){return P(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return P(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return P(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||s||m?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var 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n=r(65477).hasColorscale,i=r(28379),a=r(64726);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},32660:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},75603:function(t,e,r){\"use strict\";var n=r(26544),i=r(24782).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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r.yLabel=c[1].toFixed(3),r}},59420:function(t,e,r){\"use strict\";var n=r(37255),i=r(34809).fillText;t.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(f,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var y=(f.hi||p.hoverinfo).split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"text\"]),-1!==y.indexOf(\"a\")&&v(d.aaxis,f.a),-1!==y.indexOf(\"b\")&&v(d.baxis,f.b),g.push(\"y: \"+s.yLabel),-1!==y.indexOf(\"text\")&&i(f,p,g),s.extraText=g.join(\"<br>\")}return o}function v(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},56534:function(t,e,r){\"use 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(36640),s=r(9829),l=r(87163),c=r(94850).T,u=r(93049).extendFlat,h=r(13582).overrideAll,f=o.marker,p=o.line,d=f.line;t.exports=h({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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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=m.SYMBOL_SDF_SIZE,M=m.SYMBOL_SIZE,S=m.SYMBOL_STROKE,E={},C=c.symbolFuncs[0](.05*M);function L(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=c.symbolNumber(a),s=c.symbolFuncs[o%100],l=!!c.symbolNoDot[o%100],u=!!c.symbolNoFill[o%100],h=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var f=c.getMarkerAngle(t,e);return r=h&&!l?s(1.1*M,f)+C:s(M,f),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:u?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 n;if(f.hasText(e)&&(n.text=x(t,e),n.textSel=T(t,e,e.selected),n.textUnsel=T(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=w(0,e,e.selected),n.markerUnsel=w(0,e,e.unselected),!e.unselected&&l(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(m.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=k(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=k(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:w,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>m.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),h=r.length/2,f={};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),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,m=-1/0,g=0,y=0;g<h;g++,y+=4){var v=t[g];if(n(v)){var x=r[2*g+c],_=l(v,g),b=_[0],w=_[1];if(n(b)&&n(w)){var T=v-b,k=v+w;p[y+u[0]]=x-i.c2l(T),p[y+u[1]]=i.c2l(k)-x,p[y+u[2]]=0,p[y+u[3]]=0,d=Math.min(d,v-b),m=Math.max(m,v+w)}}}f[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,c),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,c=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var h=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(c)?c.length>1?c[i]:c[0]:c,m=l(u)?u.length>1?u[i]:u[0]:u,g=y[d],v=y[m],x=h?h/.8+1:0,_=-v*x-.5*v;o.offset[i]=[g*x/p,_/p]}}return o}}},86590:function(t,e,r){\"use strict\";var n=r(34809),i=r(33626),a=r(4075),o=r(92089),s=r(32660),l=r(64726),c=r(99867),u=r(99669),h=r(24272),f=r(98168),p=r(54114),d=r(663);t.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var _=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",_),l.hasMarkers(e)&&(h(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||v?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),f(t,e,r,m,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var b=(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,b||w||r,{axis:\"y\"}),T(t,e,b||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},85686:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(20438).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(h.length||f.length){var y=d.color,v=m.color,x=p.color,_=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],g.color[r]=y||(_?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var b=_?x[r]:x;g.color[r]=v||(y?b:i.addOpacity(b,a))}}c.glText[u].update(g)}}},99185:function(t,e,r){\"use strict\";var n=r(15294);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)}},4075:function(t,e,r){\"use strict\";var n=r(29483);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}},36544:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(11539);function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=i.isArrayOrTypedArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family,f.tw=Array.isArray(p.weight)?p.weight[h]:p.weight,f.ty=Array.isArray(p.style)?p.style[h]:p.style,f.tv=Array.isArray(p.variant)?p.variant[h]:p.variant);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.ma=i.isArrayOrTypedArray(d.angle)?d.angle[h]:d.angle,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var m=d&&d.line;m&&(f.mlc=Array.isArray(m.color)?m.color[h]:m.color,f.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(f.mgt=Array.isArray(g.type)?g.type[h]:g.type,f.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(f.x,!0),v=l.c2p(f.y,!0),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d,m=t.cd,g=m[0].t,y=m[0].trace,v=t.xa,x=t.ya,_=g.x,b=g.y,w=v.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=v.p2c(w-k),M=v.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 C=k;if(\"x\"===n){var L=!!y.xperiodalignment,I=!!y.yperiodalignment;for(u=0;u<i.length;u++){if(l=_[a=i[u]],h=Math.abs(v.c2p(l)-w),L){var P=v.c2p(y._xStarts[a]),z=v.c2p(y._xEnds[a]);h=w>=Math.min(P,z)&&w<=Math.max(P,z)?0:1/0}if(h<C){if(C=h,c=b[a],f=x.c2p(c)-T,I){var O=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);f=T>=Math.min(O,D)&&T<=Math.max(O,D)?0:1/0}d=Math.sqrt(h*h+f*f),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=_[a=i[u]],c=b[a],h=v.c2p(l)-w,f=x.c2p(c)-T,(p=Math.sqrt(h*h+f*f))<C&&(C=d=p,s=a);return t.index=s,t.distance=C,t.dxy=d,void 0===s?[t]:[o(t,_,b,y)]},calcHover:o}},52378:function(t,e,r){\"use strict\";var n=r(68258);n.plot=r(47731),t.exports=n},47731:function(t,e,r){\"use strict\";var n=r(62172),i=r(49478),a=r(29978),o=r(74024),s=r(34809),l=r(70414).selectMode,c=r(22459),u=r(64726),h=r(17210),f=r(85686).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,c=i.r*n,u=i.t*n,h=i.w*n,f=i.h*n;return[s+e.domain[0]*h,l+r.domain[0]*f,a-c-(1-e.domain[1])*h,o-u-(1-r.domain[1])*f]}(t.exports=function(t,e,r){if(r.length){var m,g,y=t._fullLayout,v=e._scene,x=e.xaxis,_=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var b=v.count,w=y._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!v.line2d&&!v.error2d||v.scatter2d||v.fill2d||v.glText||w.clear({}),!0===v.error2d&&(v.error2d=a(w)),!0===v.line2d&&(v.line2d=i(w)),!0===v.scatter2d&&(v.scatter2d=n(w)),!0===v.fill2d&&(v.fill2d=i(w)),!0===v.glText)for(v.glText=new Array(b),m=0;m<b;m++)v.glText[m]=new o(w);if(v.glText){if(b>v.glText.length){var T=b-v.glText.length;for(m=0;m<T;m++)v.glText.push(new o(w))}else if(b<v.glText.length){var k=v.glText.length-b;v.glText.splice(b,k).forEach((function(t){t.destroy()}))}for(m=0;m<b;m++)v.glText[m].update(v.textOptions[m])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var A=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(A)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+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 m=s._nexttrace;if(m){var g=v.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],_=y[2*e+1];isNaN(x)||isNaN(_)||p.push(x,_)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var b=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<b.length;a+=2)(isNaN(b[a])||isNaN(b[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(b),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(m=0;m<b;m++){var C=r[m][0],L=C.trace,I=C.t,P=I.index,z=L._length,O=I.x,D=I.y;if(L.selectedpoints||S||E){if(S||(S=!0),L.selectedpoints){var R=v.selectBatch[P]=s.selIndices2selPoints(L),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<z;g++)F[g]||B.push(g);v.unselectBatch[P]=B}var N=I.xpx=new Array(z),j=I.ypx=new Array(z);for(g=0;g<z;g++)N[g]=x.c2p(O[g]),j[g]=_.c2p(D[g])}else I.xpx=I.ypx=null}if(S){if(v.select2d||(v.select2d=n(y._glcanvas.data()[1].regl)),v.scatter2d){var U=new Array(b);for(m=0;m<b;m++)U[m]=v.selectBatch[m].length||v.unselectBatch[m].length?v.markerUnselectedOptions[m]:{};v.scatter2d.update(U)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var V={viewport:d(y,x,_,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(_._rl||_.range)[0],(x._rl||x.range)[1],(_._rl||_.range)[1]]},q=s.repeat(V,v.count);v.fill2d&&v.fill2d.update(q),v.line2d&&v.line2d.update(q),v.error2d&&v.error2d.update(q.concat(q)),v.scatter2d&&v.scatter2d.update(q),v.select2d&&v.select2d.update(q),v.glText&&v.glText.forEach((function(t){t.update(V)}))}else v.init()}}).reglPrecompiled=p},62336:function(t,e,r){\"use strict\";var n=r(34809);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,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return 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k=_[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:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.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):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(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 D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},57387:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(71388),u=r(13624).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,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,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},58240:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},66762:function(t,e,r){\"use strict\";var n=r(29714);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}},67275:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(8814).traceLayerPrefix;function c(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,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;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-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},30929:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermap\",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 n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===a){i=!0;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i])}t||n.removeSource(u.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i])}}(t)}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(67514),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(67514),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},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:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"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:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},2795:function(t){\"use strict\";var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return-1!==e.indexOf(t)}}},27009:function(t,e,r){\"use 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[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:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.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):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(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 D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},38302:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(95833),u=r(2795).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,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,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},68197:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},69009:function(t,e,r){\"use strict\";var n=r(29714);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}},18016:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(44245).traceLayerPrefix;function c(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,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;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-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},83866:function(t,e,r){\"use strict\";[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/javascript/maplibre-migration/\"].join(\" \"),t.exports={attributes:r(95833),supplyDefaults:r(38302),colorbar:r(21146),formatLabels:r(69009),calc:r(75649),plot:r(20691),hoverPoints:r(18016).hoverPoints,eventData:r(68197),selectPoints:r(60784),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(68192),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},20691:function(t,e,r){\"use strict\";var n=r(34809),i=r(27009),a=r(44245).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function 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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T=0;T<x.length;T++)e.contains([y[T],v[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:_[T]}),i(b,T)):-1!==b.indexOf(T)?i(b,T):w.push(T);var k=c.matrixOptions;return b.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=b,c.unselectBatch=w,p}},14774:function(t,e,r){\"use strict\";var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c={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(c,n(\"\",{colorAttr:\"u/v/w 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C=function(){v=0,M=[],S=[],E=[]};(!v||v<M.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?m:\"y\"===t?g:y},I=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[v-1]<t[0]?-1:1},z=L(A[1]),O=L(A[3]),D=L(A[5]),R=I(A[1]).length,F=I(A[3]).length,B=I(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(L(A[1])),V=P(L(A[3])),q=P(L(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),Z=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Z]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[u];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var v=o[u];r.yMax=Math.max(r.yMax,v),r.yMin=Math.min(r.yMin,v);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},49280:function(t,e,r){\"use strict\";var n=r(99098).gl_streamtube3d,i=n.createTubeMesh,a=r(34809),o=r(46998).parseColorScale,s=r(88856).extractOpts,l=r(88239),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(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,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return 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P.lightPosition=[O.x,O.y,O.z],P.ambient=e.lighting.ambient,P.diffuse=e.lighting.diffuse,P.specular=e.lighting.specular,P.roughness=e.lighting.roughness,P.fresnel=e.lighting.fresnel,P.opacity=e.opacity,e._pad=P.tubeScale*e.sizeref*2,P}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},52737:function(t,e,r){\"use 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n=r(9829),i=r(3208).rb,a=r(3208).ay,o=r(87163),s=r(13792).u,l=r(55412),c=r(2032),u=r(93049).extendFlat,h=r(94850).k;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:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:h,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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s,l=_.getPtId(t.parent);T.each((function(t){if(_.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(_.getPtId(t)===r)return c=e}));var h=u.length,f=a(s.x0,s.x1);e={rpx0:z,rpx1:z,x0:f(c/h),x1:f((c+1)/h)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(b&&R){var $=_.getPtId(R);T.each((function(t){null===X&&_.getPtId(t)===$&&(X=t.x1)}))}var J=T;function K(t){var e=t.parent,r=F[_.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}b&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);_.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),h=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",f?\"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),b?h.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:z,rpx1:z},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):h.attr(\"d\",Z),c.call(v,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(_.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),h.call(g,i,A,t);var p=s.ensureSingle(c,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,_.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=m(M,i,k),i.transform.targetX=W(i),i.transform.targetY=Y(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,u(A.type,r,y),s.getTextTransform(r)};b?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(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),c=a(e.x0,t.x0),h=a(e.x1,t.x1),f=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,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=h(t),a=function(t){return m(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 u(A.type,n,y),{transform:{targetX:W(s),targetY:Y(s),scale:f(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,c=!r,u=!s.uniformtext.mode&&_.hasTransition(r);h(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),c&&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,c=n[0],u=t.data.data,h=c.hierarchy,f=_.isHierarchyRoot(t),p=_.getParent(h,t),d=_.getValue(t);if(!a){var m,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},v=[];if(y(\"label\")&&u.label&&v.push(u.label),u.hasOwnProperty(\"v\")&&y(\"value\")&&v.push(_.formatValue(u.v,l)),!f){y(\"current path\")&&v.push(_.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var b=x>1;if(x){var w,T=function(t){m=_.formatPercent(w,l),b&&(m+=\" of \"+t),v.push(m)};y(\"percent parent\")&&!f&&(w=d/_.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/_.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/_.getValue(h),T(\"root\"))}}return y(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&v.push(m)),v.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=_.formatValue(u.v,l)),A.currentPath=_.getPath(t.data),f||(A.percentParent=d/_.getValue(p),A.percentParentLabel=_.formatPercent(A.percentParent,l),A.parent=_.getPtLabel(p)),A.percentEntry=d/_.getValue(e),A.percentEntryLabel=_.formatPercent(A.percentEntry,l),A.entry=_.getPtLabel(e),A.percentRoot=d/_.getValue(h),A.percentRootLabel=_.formatPercent(A.percentRoot,l),A.root=_.getPtLabel(h),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},98972:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(34809),o=r(84102).resizeText,s=r(72043);function l(t,e,r,n){var o=e.data.data,l=!e.children,c=o.i,u=a.castOption(r,c,\"marker.line.color\")||i.defaultLine,h=a.castOption(r,c,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",h).call(i.stroke,u).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}},16131:function(t,e,r){\"use strict\";var n=r(78766),i=r(87163),a=r(80712).axisHoverFormat,o=r(3208).rb,s=r(9829),l=r(93049).extendFlat,c=r(13582).overrideAll;function u(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 h=t.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(28379);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\"})}},27159:function(t,e,r){\"use strict\";var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(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=f.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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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 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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,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=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],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|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(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,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),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(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),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],y=n[u+p+o],v=h*g-f*y;y=h*y+f*g,g=v,r[u+p]=d+g,n[u+p]=m+y,r[u+p+o]=d-g,n[u+p+o]=m-y,p!==s&&(v=l*h-c*f,f=l*f+c*h,h=v)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new 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 v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){v.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)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.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},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(x,v),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(_,v),i(b,v),i(w,v),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 _;else if(\"p192\"===t)e=new b;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(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var y=this.pow(h,new a(1).iushln(d-g-1));f=f.redMul(y),h=y.redSqr(),p=p.redMul(h),d=g}return f},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 c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==h||0!==o?(o<<=1,o|=h,(4==++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var 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(f.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=f.left,f._color=1,f.left=p,l[h-2]=f,l[h-1]=s,i(p),i(f),h>=3&&((m=l[h-3]).right===p?m.right=f:m.left=f);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;f.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=f,s.left=p,l[h-2]=s,l[h-1]=f,i(p),i(f),i(s),h>=3&&((m=l[h-3]).right===p?m.right=s:m.left=s);break}f._color=1,p.left=n(1,d),p._color=0,h-=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 c(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 u(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new u(this,t)}}),o.at=function(t){if(t<0)return new u(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 u(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new u(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 u(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 u(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 u(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 u(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 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];for(o.push(new e(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value,l=o.length-2;l>=c;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c]}if(0===(s=o[o.length-1])._color){var h=o[o.length-2];for(h.left===s?h.left=null:h.right===s&&(h.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?f(s,s.left):s.right&&f(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&&((c=t[l-2]).left===a?c.left=o:c.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&&((c=t[l-2]).left===a?c.left=s:c.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&&((c=t[l-2]).left===a?c.left=o:c.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&&((c=t[l-2]).right===a?c.right=o:c.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&&((c=t[l-2]).right===a?c.right=s:c.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 c;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.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(h,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,\"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}),h.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(h,\"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}}),h.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])},h.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(h,\"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]),c=ArrayBuffer,u=DataView;function h(t){return Array.isArray(t)||function(t){return c.isView(t)&&!(t instanceof u)}(t)}function f(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 m(){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?h(a)&&h(a[0]):h(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(h(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var m=0;m<3;++m)p[d][m]!==this.bounds[d][m]&&(f=!0),this.bounds[d][m]=p[d][m];if(\"ticks\"in t)for(r=t.ticks,u=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),l(\"tickFontStyle\")&&(u=!0),l(\"tickFontWeight\")&&(u=!0),l(\"tickFontVariant\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"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\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\");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]}],v=[{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||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var v=[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 _=[0,0,0],b=[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,c=o(r,n,i,a,s),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio)}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*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 D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,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){(C=[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=f(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]),C=[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,C,S)}if(this.labelEnable[A]){for(E=0,C=[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],C,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 c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var g=c;c=u,u=g}var y=n(t,new Float32Array(e)),v=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}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};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 v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);o(c[z],c[I],c[P],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(L=0;L<2;++L){I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<M)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N))}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,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),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,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],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var m=+r[h][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[h]=f,l[h]=g-f,f=o.length/3|0;for(var y=0;y<r[h].length;++y)m=+r[h][y].x,o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);g=o.length/3|0,c[h]=f,u[h]=g-f}var v=n(t,new Float32Array(o)),x=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),_=a(t);return _.attributes.position.location=0,new p(t,v,x,_,l,s,u,c)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},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 c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(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 h=u.prototype,f=[0,0];h.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},h.unbind=function(){this.vao.unbind()},h.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(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[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 f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m<g;++m)for(var y=d[m],v=2;v>=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t)}}for(var l=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m<n[d].length;++m)if(n[d][m].text){var g={family:n[d][m].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][m].x,n[d][m].text,g,n[d][m].fontSize||12,1.25,p)}u[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=u,this.labelOffset=h,this.labelCount=f},h.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]))},h.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]))},h.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,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}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,h){var f=e.model||c,p=e.view||c,y=e.projection||c,v=e._ortho||!1,x=t.bounds,_=(h=h||a(f,p,y,x,v)).axis;o(u,p,f),o(u,y,u);for(var b=m,w=0;w<3;++w)b[w].lo=1/0,b[w].hi=-1/0,b[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);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(_[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice())}var I=v?5:4;for(C=I;C===I;++C){if(0===E.length)continue t;E=i.positive(E,T[C])}for(C=0;C<E.length;++C){M=E[C];var P=d(g,u,M,r,l);for(L=0;L<3;++L)b[L].lo=Math.min(b[L].lo,M[L]),b[L].hi=Math.max(b[L].hi,M[L]),L!==k&&(b[L].pixelsPerDataUnit=Math.min(b[L].pixelsPerDataUnit,Math.abs(P[L])))}}}}return b};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(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 c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&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=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},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,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=!1,v=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var _=r[x];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),f=Math.max(_[2],f);var b=i[x];if(n.length(b)>o&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=_,d=b),m.push(b)}var T=[s,c,h],k=[l,u,f];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||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],I=m[x],P=n.length(I)*A,z=0;z<8;z++){a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-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),c=r(9618),u=r(6729),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.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=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),m=Math.max(m,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),m=Math.max(m,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 v=n[g],x=0;x<3;++x)!isNaN(v[x])&&isFinite(v[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],v[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],v[x]));var _=0;t:for(g=0;g<r.length;++g){var b=r[g];if(3===b.length){for(x=0;x<3;++x){v=n[T=b[x]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(x=0;x<3;++x){var T;v=n[T=b[2-x]],a.push(v[0],v[1],v[2],v[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=f;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)/(m-d),0]:[(v[2]-d)/(m-d),0],l.push(A[0],A[1]),h.push(g)}_+=1}}this.triangleCount=_,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,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),u=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),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v}},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 c=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new 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u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=f(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 v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=f(r,i,a,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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),u(r,e),h(x)}u(r,e)}(this)}var m=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=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a)}}Object.defineProperties(m,{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}}),m.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])}},m.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 c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));f[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((f[p+3]||f[p+2]||f[p+1])&&(c+=g[p]+\"\\n\",f[p+1])){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}return{long:c.trim(),short:u.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new c(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 c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=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 v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.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?_-1:_,C=l?b-1:b,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<b-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<b-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=v*(r[z]-c),D=v*(r[z+1]-c)):(O=z<_-1?v*(r[z]-(r[z+1]-r[z])/2-c):v*(r[z]-(r[z]-r[z-1])/2-c),D=z<_-1?v*(r[z]+(r[z+1]-r[z])/2-c):v*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*_+(z+U):L*_+z],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Z=1-G,W=4*H,Y=4*(H+1);F=Z*m[W]+G*m[Y],B=Z*m[W+1]+G*m[Y+1],N=Z*m[W+2]+G*m[Y+2],j=Z*m[W+3]+G*m[Y+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=L*_+z,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)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},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=h(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=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function 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 v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.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[]}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-.001||g[h]>1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[f,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}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),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\\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}\"]),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\\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:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,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),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,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,v.vertex,v.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,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.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=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],m=n[h][1],g=i[h],y=1-g,v=this.positions[d],x=this.positions[m],_=0;_<3;++_)o[s++]=g*v[_]+y*x[_]}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=h({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 u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],m=[],g=[],y=[],v=[],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,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R)F=z[R],O=Math.min(O,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],O=Math.min(O,F),D=Math.max(D,F);this.intensity=I||z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;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[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?v.push(Y[0],Y[1],Y[2],this.opacity):(v.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?_.push(B[W]):_.push(N),b.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?d.push(Y[0],Y[1],Y[2],this.opacity):(d.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],m.push(X[0],X[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var W,Y,X,$;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Y=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),$=w?w[W]:T[R],l.push($[0],$[1],$[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(b)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[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),c=S(t),h=E(t),f=C(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),v=i(t),x=i(t),_=i(t),b=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:_,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),L=i(t),I=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,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),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,c,h,f,d,_,m,v,x,b,w,L,k,A,I,P,R,z,O,D,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,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},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 c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=a[m+2]-g,v=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*y/x,c[m]=2*(g-v)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=f[m];var b=6*n[m].length;p[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],x=y[3]-y[1],_=m[2]-m[0],b=m[3]-m[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]*=_/v,t[0]*=_/v,e[1]*=b/x,t[1]*=b/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/v,o[1]=C[1]*g/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=C[0]*g/v,o[1]=E[0]*g/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(m[2]+E[3])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/v,o[1]=C[3]*g/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=C[2]*g/v,o[1]=E[2]*g/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=f[m],n[i++]=p[m]}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,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},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 c,u,h,f,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,x=e.labelPad,_=e.labelColor,b=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/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=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,m=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",v=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var _=1/(c[o+2]-c[o]),b=c[o],w=m.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:v,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)*_);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{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)},m.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 c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,v=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],v[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],v[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],v[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],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()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},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 c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),x=1/t.clientHeight,_=x*(r-d._lastX),b=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&&!f&&!p&&!m||g&&!f&&!p&&m)&&c.rotate(A,w*k*_,-T*k*b,0),(l&&g&&!f&&!p&&!m||y||g&&f&&!p&&!m)&&c.pan(A,-d.translateSpeed*_*h,d.translateSpeed*b*h,0),u&&g&&!f&&!p&&!m||v||g&&!f&&p&&!m)){var M=-d.zoomSpeed*b/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(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))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(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),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}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 v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=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=[],C=[],L=[],I=[],P=!0,z=!0,O={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(z=!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:v,objects:E,shape:D,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:O,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},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=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,D);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function 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,z=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=!0,z=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!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(_.dispose(),t=0;t<I.length;++t)I[t].dispose();b.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=u(e,(function(t,e,r){if(!F._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(z=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,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();O.view=F.camera.matrix,P=P||t,z=z||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){(L=E[o]).pixelRatio=F.pixelRatio,L.axes=F.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=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 m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}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(z=z||y,P=P||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:v}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[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,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=!0):(h(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,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/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(L=E[o]).axesBounds=d,F.clipToBounds&&(L.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!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=I.length,n=0;n<e;++n){var i=I[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(O))}i.end()}}}()),F.axesPixels=a(F.axes,O,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(O)),S.axes=A,x.object&&S.draw(O),r.disable(r.CULL_FACE),o=0;o<e;++o)(L=E[o]).axes=A,L.pixelRatio=F.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(O),L.isTransparent&&L.isTransparent()&&(M=!0);if(M){for(_.shape=D,_.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(O),o=0;o<e;++o)(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(O);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(O),o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(O)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),b.bind(),_.color[0].bind(0),b.uniforms.accumBuffer=0,c(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,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return(a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+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 c,u,h=n(t,s);if(r&&1!==r){for(c=0;c<l.positions.length;++c)for(u=0;u<l.positions[c].length;++u)l.positions[c][u]/=r;for(c=0;c<h.positions.length;++c)for(u=0;u<h.positions[c].length;++u)h.positions[c][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],p=h.positions.length;for(c=0;c<p;++c){var d=h.positions[c];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return o[t]=[l,h,f]};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\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};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,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},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),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(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 m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,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),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},_.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 b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(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 z(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,c=r.model||h,u=r.view||h,f=r.projection||h,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],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.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 O(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=u(a);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 geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);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,c=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(f.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],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=d+1,v=m+1,x=g+1;if(d=s(d,0,h-1),y=s(y,0,h-1),m=s(m,0,f-1),v=s(v,0,f-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||m<0||g<0||y>h-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=v*p,_=d*p*f,b=y*p*f;break;case 4:k=g,A=x,_=d*p,b=y*p,w=m*p*h,T=v*p*h;break;case 3:w=m,T=v,k=g*f,A=x*f,_=d*f*p,b=y*f*p;break;case 2:w=m,T=v,_=d*f,b=y*f,k=g*f*h,A=x*f*h;break;case 1:_=d,b=y,k=g*h,A=x*h,w=m*h*p,T=v*h*p;break;default:_=d,b=y,w=m*h,T=v*h,k=g*h*f,A=x*h*f}var O=i[_+w+k],D=i[_+w+A],R=i[_+T+k],F=i[_+T+A],B=i[b+w+k],N=i[b+w+A],j=i[b+T+k],U=i[b+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Z=n.create(),W=n.create();n.lerp(Z,V,H,P),n.lerp(W,q,G,P);var Y=n.create();return n.lerp(Y,Z,W,z),Y}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],v=e[0][1],x=e[0][2],_=e[1][0],b=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>_||r<v||r>b||n<x||n>w)},k=10*n.distance(e[0],e[1])/c,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,c=0;c<s;c++){var u=t[c],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=!0),a[f]||(r.push(f),a[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),m=l(r),g=l(n),y=Math.min(d,m,g);return isFinite(y)?y:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=m(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.length<c&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],m=0,g=0,y=i.create(),v=i.create(),x=0;x<o.length;x++){var _=o[x],b=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(b)/a,y=i.create(),n.copy(y,b),y[3]=w;for(var T=0;T<8;T++)p[T]=[_[0],_[1],_[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];f.push(v);for(var x=0;x<y.length;x++)v.push(y[x]+g)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var c=r(6740),u=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,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=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,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),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=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,c,u,f,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,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=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.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 C=E.prototype;C.genColormap=function(t,e){var r=!1,n=u([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 c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return!this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],I={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||L,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=I.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return I.showSurface=o,I.showContour=s,I}var z={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},O=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;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=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],f.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var 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()]}}C.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=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*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 c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]<this.contourLevels[x].length-1){var _=this.contourLevels[x][v[x]],b=this.contourLevels[x][v[x]+1];Math.abs(_-c[x])>Math.abs(b-c[x])&&(v[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},C.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},C.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]=h(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]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,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 v=this._field,x=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),v[o],\"mirror\");var _=h(s.mallocFloat(3*v[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 b=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,C=M*w-S*b,L=b*A-w*T,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),_.set(o,y,0,E*I),_.set(o,y,1,C*I),_.set(o,y,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,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 Z=o+k[H][0],W=y+k[H][1],Y=this._field[0].get(Z+1,W+1),X=this._field[1].get(Z+1,W+1);G=this._field[2].get(Z+1,W+1),E=_.get(Z+1,W+1,0),C=_.get(Z+1,W+1,1),L=_.get(Z+1,W+1,2),t.intensity&&($=t.intensity.get(Z,W));var $=t.intensity?t.intensity.get(Z,W):G+this.objectOffset[2];F[N++]=Z,F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=$,F[N++]=E,F[N++]=C,F[N++]=L,P[0]=Math.min(P[0],Y+this.objectOffset[0]),P[1]=Math.min(P[1],X+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,$),z[0]=Math.max(z[0],Y+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,$),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(_.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var 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){v=this._field,a=this.shape;for(var K=[],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=f(this._field[Q],tt[o]);et.push(K.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),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[mt].get(Z,W):(this.intensity.get(Z,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var vt=gt*yt;nt[dt]+=vt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)K.pop();U-=1}continue t}K.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 _t=s.mallocFloat(K.length);for(o=0;o<K.length;++o)_t[o]=K[o];this._contourBuffer.update(_t),s.freeFloat(_t)}},C.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},C.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var y=m[e],v=0;v<2;++v){var x=g[y[v]],_=+x[0],b=0|_,w=0|Math.min(b+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,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*h.get(b,M)+I*h.get(b,S)+P*h.get(w,M)+z*h.get(w,S),D=L*p.get(b,M)+I*p.get(b,S)+P*p.get(w,M)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},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=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,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}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y)}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function 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=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new f(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,h){var f=h.dtype,p=h.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var m=0,g=0,y=d(p,h.stride.slice());if(\"float32\"===f?m=t.FLOAT:\"float64\"===f?(m=t.FLOAT,y=!1,f=\"float32\"):\"uint8\"===f?m=t.UNSIGNED_BYTE:(m=t.UNSIGNED_BYTE,y=!1,f=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],h=n(h.data,p,[h.stride[0],h.stride[1],1],h.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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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=c(u-=a*p,h-=o*p,f-=s*p),m=(u/=d)*e+a*r,g=(h/=d)*e+o*r,y=(f/=d)*e+s*r;this.center.move(t,m,g,y);var v=Math.exp(this.computedRadius[0]);v=Math.max(1e-4,v+n),this.radius.set(t,Math.log(v))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],h=e[a+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),m=Math.max(f,p,d);f===m?(s=s<0?-1:1,l=h=0):d===m?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var g=c(s,l,h);s/=g,l/=g,h/=g}var y,v,x=e[o],_=e[o+4],b=e[o+8],w=x*s+_*l+b*h,T=c(x-=s*w,_-=l*w,b-=h*w),k=l*(b/=T)-h*(_/=T),A=h*(x/=T)-s*b,M=s*_-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,Z),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,_,b),2===a){var 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e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},tr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},tr.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var rr=Object.freeze({__proto__:null,number:er,color:function(t,e,r){return new ce(er(t.r,e.r,r),er(t.g,e.g,r),er(t.b,e.b,r),er(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return er(t,e[n],r)}))}}),nr=.95047,ir=1,ar=1.08883,or=4/29,sr=6/29,lr=3*sr*sr,cr=sr*sr*sr,ur=Math.PI/180,hr=180/Math.PI;function fr(t){return t>cr?Math.pow(t,1/3):t/lr+or}function pr(t){return t>sr?t*t*t:lr*(t-or)}function dr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function mr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function gr(t){var e=mr(t.r),r=mr(t.g),n=mr(t.b),i=fr((.4124564*e+.3575761*r+.1804375*n)/nr),a=fr((.2126729*e+.7151522*r+.072175*n)/ir);return{l:116*a-16,a:500*(i-a),b:200*(a-fr((.0193339*e+.119192*r+.9503041*n)/ar)),alpha:t.a}}function yr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=ir*pr(e),r=nr*pr(r),n=ar*pr(n),new ce(dr(3.2404542*r-1.5371385*e-.4985314*n),dr(-.969266*r+1.8760108*e+.041556*n),dr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function vr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var xr={forward:gr,reverse:yr,interpolate:function(t,e,r){return{l:er(t.l,e.l,r),a:er(t.a,e.a,r),b:er(t.b,e.b,r),alpha:er(t.alpha,e.alpha,r)}}},_r={forward:function(t){var e=gr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*hr;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*ur,r=t.c;return 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a=Qe(e,n),o=e[a],s=e[a+1],l=wr.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?rr[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?_r.reverse(_r.interpolate(_r.forward(c),_r.forward(u),l)):xr.reverse(xr.interpolate(xr.forward(c),xr.forward(u),l))},wr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},wr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},wr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var kr=function(t,e){this.type=t,this.args=e};kr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return ie(n,t.type)}));return new kr(c?Jt:r,i)},kr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof pe&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},kr.prototype.eachChild=function(t){this.args.forEach(t)},kr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},kr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Ar.prototype.evaluate=function(t){return this.result.evaluate(t)},Ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Ar(r,o):null},Ar.prototype.outputDefined=function(){return this.result.outputDefined()},Ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Mr=function(t,e,r){this.type=t,this.index=e,this.input=r};Mr.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,Zt),n=e.parse(t[2],2,ee(e.expectedType||Jt));if(!r||!n)return null;var i=n.type;return new Mr(i.itemType,r,n)},Mr.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new xe(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new xe(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new xe(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},Mr.prototype.eachChild=function(t){t(this.index),t(this.input)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var Sr=function(t,e){this.type=Yt,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,[Yt,Wt,Zt,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=Zt,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,[Yt,Wt,Zt,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,Zt);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 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.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Er.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var Cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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t[0],t[1].outputDefined()}))&&this.otherwise.outputDefined()},Lr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ir=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function Pr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function zr(t,e,r,n){return 0===n.compare(e,r)}function Or(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Yt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Jt);if(!a)return null;if(!Pr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type 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Xr([new qt(\"\",\"data expressions not supported\")]);var i=Xe(r,[\"zoom\"]);if(!i&&!Jr(e))return Xr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Xr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Xr([a]);if(a instanceof wr&&!Kr(e))return Xr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Yr(new fn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Yr(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 mn=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 c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(i[u])f=i[u];else if(n[u])f=Hn;else if(i[\"*\"])f=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Hn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},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 vn(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.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function _n(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),u=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Kr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!$r(t.valueSpec)?u.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Bt(t.key,t.value,'\"property\" property is required')),u;function h(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(c){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:f}}))}else e=e.concat(f({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return un(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 f(t,n){var s=Qr(t.value),l=Ut(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return $r(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,c,\"integer expected, found \"+l)]}}function bn(t){var e=(\"property\"===t.expressionContext?dn:hn)(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&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Ye(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(!Xe(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&&!We(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]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}mn.deserialize=function(t){return new mn(t._parameters,t._specification)},mn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=hn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Cn(t[1],t[2],\"==\"):\"!=\"===r?Pn(Cn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Ln(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$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(On({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 Dn(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$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&$r(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&h.push(new Bt(r,a,'\"text-font\" does not support identity functions'))),h.concat(Hn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function Rn(t){return Dn(t,\"paint\")}function Fn(t){return Dn(t,\"layout\")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var c=Ut(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Ut(h.id)===c&&e.push(new Bt(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ut(t.id)===l&&(o=t)})),o?o.ref?e.push(new Bt(n,r.ref,\"ref cannot reference another ref layer\")):s=Ut(o.type):e.push(new Bt(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Ut(f.type);f?\"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&&f.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 e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Hn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:zn,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return\"string\"!==n?[new Bt(r,e,\"string expected, \"+n+\" found\")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+\".\"+i,value:r[i]}));return n}};function Un(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Bt(r,e,'\"type\" is required')];var a,o=Ut(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return yn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:jn});case\"geojson\":if(a=yn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:jn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],h=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,bn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,bn({key:r+\".\"+s+\".reduce\",value:h,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return yn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return yn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Bt(r,null,\"Please use runtime APIs to add canvas 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0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(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 Di(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 Di(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),Zi=function(t){this.specification=t};Zi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Oi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom+1),e)),e)}},Zi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Zi.prototype.interpolate=function(t){return t};var Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Wi.prototype.interpolate=function(){return!1};var Yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ri(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};oi(\"DataDrivenProperty\",Hi),oi(\"DataConstantProperty\",qi),oi(\"CrossFadedDataDrivenProperty\",Gi),oi(\"CrossFadedProperty\",Zi),oi(\"ColorRampProperty\",Wi);var Xi=\"-transition\",$i=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ji(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Fi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new 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(Kn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Xi)?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,Xi))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),b(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(Xn,{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&&$r(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},Ki=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 ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Qi);na.prototype.bytesPerElement=8,oi(\"StructArrayLayout4i8\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(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 t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Qi);oa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2f8\",oa);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t},e}(Qi);sa.prototype.bytesPerElement=20,oi(\"StructArrayLayout10ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(Qi);la.prototype.bytesPerElement=24,oi(\"StructArrayLayout4i4ui4i24\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ca.prototype.bytesPerElement=12,oi(\"StructArrayLayout3f12\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return 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this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Qi);ha.prototype.bytesPerElement=20,oi(\"StructArrayLayout6i1ul2ui20\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Oi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Oi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},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=h(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new $a(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&$r(a.property.specification)){var o=ho(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||h){var f=fo(i,l,\"source\");this.binders[i]=h?new lo(s,l,c,e,f,t.id):new oo(s,o,l,f),n.push(\"/a_\"+i)}else{var p=fo(i,l,\"composite\");this.binders[i]=new so(s,o,l,c,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};co.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},co.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},co.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},co.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof oo||f instanceof so||f instanceof lo)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},co.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},co.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},co.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},co.prototype.getPaintVertexBuffers=function(){return this._buffers},co.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},co.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,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},co.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},co.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},co.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var uo=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new co(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function ho(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function fo(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:va,composite:oa}},i=function(t){return{\"line-pattern\":{source:sa,composite:sa},\"fill-pattern\":{source:sa,composite:sa},\"fill-extrusion-pattern\":{source:sa,composite:sa}}[t]}(t);return 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c=t.readVarint();n=7&c,i=c>>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},Ws.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,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ws.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(),c=Ws.types[this.type];function u(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 h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var $s=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(Ks,this,e),this.length=this._features.length}function Ks(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 $s(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Zs(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Zs,VectorTileLayer:$s},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 ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,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,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h=vo(o,u);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,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,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];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 m=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var v=d[g-1];if(!al(y,v)){h.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(v)._perp()._unit(),_=v.dist(y);m+_>32768&&(m=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m),m+=_,nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m);var b=h.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=h.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 C=S[E];nl(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=as(w,T),I=0;I<L.length;I+=3)this.indexArray.emplaceBack(k+L[I],k+L[I+2],k+L[I+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Yi({\"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 zo(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 c=Oo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];qo(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var y=[],v=[],x=0,_=g[m];x<_.length;x+=1){var b=_[x],w=b.x,T=b.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+c,C=S+u,L=k+h,I=A+f,P=M+p,z=S+d,O=new a((k+s)/C,(A+l)/C);O.z=E/C,y.push(O);var D=new a(L/z,I/z);D.z=P/z,v.push(D)}i.push(y),o.push(v)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(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],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];bo(r,h)&&(n=Math.min(n,cl(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}($i);function ll(t,e){return t.x*e.x+t.y*e.y}function cl(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),c=o.sub(i),u=ll(s,s),h=ll(s,l),f=ll(l,l),p=ll(c,s),d=ll(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=i.z*v+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var _=1/0,b=0,w=e;b<w.length;b+=1){var T=w[b];_=Math.min(_,T.z)}return _}var ul=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,hl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,fl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,ml=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 ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ml.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,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p=vo(l,f);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f?p.geometry:yo(l),patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],x=v,_=x.geometry,b=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(v,_,b,r,{});var k=t[b].feature;e.featureIndex.insert(k,_,b,w,this.index)}},ml.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ml.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)}},ml.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ml.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ml.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,hl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ul),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ml.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ml.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}},ml.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\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var u=0,h=e;u<h.length;u+=1){var f=h[u];this.addLine(f,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ml.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\"===fl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,h=this.overscaling<=16?15*po/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var y=c;y<l;y++)if(!(d=y===l-1?s?t[c+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(m=g),u&&(p=u),u=t[y],g=d?d.sub(u)._unit()._perp():m;var v=(m=m||g).add(g);0===v.x&&0===v.y||v._unit();var x=m.x*g.x+m.y*g.y,_=v.x*g.x+v.y*g.y,b=0!==_?1/_:1/0,w=2*Math.sqrt(2-2*_),T=_<pl&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&y>c){var A=u.dist(p);if(A>2*h){var M=u.sub(u.sub(p)._mult(h/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,f),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(b<a?E=\"miter\":b<=2&&(E=\"fakeround\")),\"miter\"===E&&b>i&&(E=\"bevel\"),\"bevel\"===E&&(b>2&&(E=\"flipbevel\"),b<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)v._mult(b),this.addCurrentVertex(u,v,0,0,f);else if(\"flipbevel\"===E){if(b>100)v=g.mult(-1);else{var C=b*m.add(g).mag()/m.sub(g).mag();v._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,v,0,0,f),this.addCurrentVertex(u,v.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(b*b-1),I=k?L:0,P=k?0:L;if(p&&this.addCurrentVertex(u,m,I,P,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,g,-I,-P,f)}else if(\"butt\"===E)this.addCurrentVertex(u,v,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,v,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,f),this.addCurrentVertex(u,m,1,1,f,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,f,!0),this.addCurrentVertex(u,g,0,0,f)));if(T&&y<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,f),u=j}}}}},ml.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ml.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6),this.lineClips){var u=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(u,this.lineClipsArray.length)}var 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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),Il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Il(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,zl.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,Zl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writeBytesField:function(t,e){this.writeTag(t,zl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,zl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,zl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Kl=3;function Ql(t,e,r){1===t&&r.readMessage(tc,e)}function tc(t,e,r){if(3===t){var n=r.readMessage(ec,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*Kl,height:s+2*Kl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function ec(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 rc=Kl;function nc(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,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else 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Ko({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ko.copy(u.data,l,{x:0,y:0},{x:h.x+ic,y:h.y+ic},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,m=d.x+ic,g=d.y+ic,y=p.data.width,v=p.data.height;Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Ko.copy(p.data,l,{x:0,y:v-1},{x:m,y:g-1},{width:y,height:1}),Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g+v},{width:y,height:1}),Ko.copy(p.data,l,{x:y-1,y:0},{x:m-1,y:g},{width:1,height:v}),Ko.copy(p.data,l,{x:0,y:0},{x:m+y,y:g},{width:1,height:v})}this.image=l,this.iconPositions=r,this.patternPositions=n};sc.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*ic,h:i.data.height+2*ic};r.push(a),e[n]=new ac(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},sc.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)},sc.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\",ac),oi(\"ImageAtlas\",sc);var lc={horizontal:1,vertical:2,horizontalOnly:3},cc=-17;var uc=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};uc.forText=function(t,e){var r=new uc;return r.scale=t||1,r.fontStack=e,r},uc.forImage=function(t){var e=new uc;return e.imageName=t,e};var hc=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function fc(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=hc.fromFeature(t,i);h===lc.vertical&&y.verticalizePunctuation();var v=zi.processBidirectionalText,x=zi.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var _=0,b=v(y.toString(),_c(y,c,a,e,n,p,d));_<b.length;_+=1){var w=b[_],T=new hc;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,_c(y,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new hc;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,_c(y,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:y.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=0,p=cc,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,x=i;v<x.length;v+=1){var _=x[v];_.trim();var b=_.getMaxScale(),w=(b-1)*Cl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(_.length()){for(var M=0;M<_.length();M++){var S=_.getSection(M),E=_.getSectionIndex(M),C=_.getCharCode(M),L=0,I=null,P=null,z=null,O=Cl,D=!(l===lc.horizontal||!u&&!mi(C)||u&&(pc[C]||yi(C)));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Cl/h,I={width:F[0],height:F[1],left:ic,top:-rc,advance:D?F[1]:F[0]},L=w+(Cl-F[1]*S.scale),O=I.advance;var B=D?F[0]*S.scale-Cl*b:F[1]*S.scale-Cl*b;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=(b-S.scale)*Cl}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=I.advance*S.scale+c)}if(0!==k.length){var q=f-c;d=Math.max(q,d),wc(k,0,k.length-1,g,A)}f=0;var H=a*b+A;T.lineOffset=Math.max(A,w),p+=H,m=Math.max(H,m),++y}else p+=a,++y}var G=p-cc,Z=bc(o),W=Z.horizontalAlign,Y=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n-cc:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var m=d[p];m.x+=c,m.y+=u}})(t.positionedLines,g,W,Y,d,m,a,G,i.length),t.top+=-Y*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,g,o,s,l,h,c,f,m),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}hc.fromFeature=function(t,e){for(var r=new hc,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},hc.prototype.length=function(){return this.text.length},hc.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},hc.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},hc.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},hc.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)},hc.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pc[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pc[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},hc.prototype.substring=function(t,e){var r=new hc;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},hc.prototype.toString=function(){return this.text},hc.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},hc.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(uc.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},hc.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(uc.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k(\"Reached maximum number of images 6401\")}else k(\"Can't add FormattedSection with an empty image.\")},hc.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pc={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},dc={};function mc(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Cl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a(0,0);u.push({tl:O,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Y,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,v=null;\"source\"===y.kind?(v=[Ac*i.layout.get(\"text-size\").evaluate(s,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(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 au=tl.VectorTileFeature.types,ou=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function su(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(eu,Math.round(s[0])):0,d=s?Math.min(eu,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*c,16*u,256*h,256*f)}function lu(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 cu(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(_i(r[e].text))return!0;return!1}var uu=function(t){this.layoutVertexArray=new la,this.indexArray=new ma,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ca,this.opacityVertexArray=new ua,this.placedSymbolArray=new Sa};uu.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},uu.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,ou,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},uu.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\",uu);var hu=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};hu.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)},hu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",hu);var fu=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=Mc(this.zoom,e[\"text-size\"]),this.iconSizeData=Mc(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 lc[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fu.prototype.createArrays=function(){this.text=new uu(new uo(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new uu(new uo(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new La,this.lineVertexArray=new Ia,this.symbolInstances=new Ca},fu.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)}},fu.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 fe&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,x=y.id,_=y.index,b=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=vo(v,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(v));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=fe.factory(A);cu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ii()||this.hasRTLText&&zi.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:_,sourceLayerIndex:b,geometry:T.geometry,properties:v.properties,type:au[v.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lc.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||I,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,h),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(f,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fu.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))},fu.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fu.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},fu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fu.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fu.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,this.canOverlap?a.sortKey:void 0),m=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lc.vertical?Math.PI/2:0,v=a.text&&a.text.sections,x=0;x<e.length;x++){var _=e[x],b=_.tl,w=_.tr,T=_.bl,k=_.br,A=_.tex,M=_.pixelOffsetTL,S=_.pixelOffsetBR,E=_.minFontScaleX,C=_.minFontScaleY,L=_.glyphOffset,I=_.isSDF,P=_.sectionIndex,z=d.vertexLength,O=L[1];su(p,s.x,s.y,b.x,O+b.y,A.x,A.y,r,I,M.x,M.y,E,C),su(p,s.x,s.y,w.x,O+w.y,A.x+A.w,A.y,r,I,S.x,M.y,E,C),su(p,s.x,s.y,T.x,O+T.y,A.x,A.y+A.h,r,I,M.x,S.y,E,C),su(p,s.x,s.y,k.x,O+k.y,A.x+A.w,A.y+A.h,r,I,S.x,S.y,E,C),lu(t.dynamicLayoutVertexArray,s,y),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,v&&v[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fu.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))},fu.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fu.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,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hu(fa,Al.members,ba),this.iconCollisionBox=new hu(fa,Al.members,ba);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)}},fu.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<i;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},fu.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))}},fu.prototype.hasTextData=function(){return this.text.segments.get().length>0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.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)},fu.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},fu.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})},fu.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\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"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\"])}),du={paint:new Yi({\"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:Xt,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:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};mu.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},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},mu.prototype.outputDefined=function(){return!1},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du)}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()||un(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 fu(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=du.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 mu(a),s=new cn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new fn(\"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=du.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 fe)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&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}($i),yu={paint:new Yi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Zi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},vu=function(t){function e(e){t.call(this,e,yu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i),xu={paint:new Yi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},_u=function(t){function e(e){t.call(this,e,xu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i);var bu=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}($i),wu={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:_l,symbol:gu,background:vu,raster:_u};var Tu=s.HTMLImageElement,ku=s.HTMLCanvasElement,Au=s.HTMLVideoElement,Mu=s.ImageData,Su=s.ImageBitmap,Eu=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Eu.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 Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Eu.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)},Eu.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Eu.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Cu=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()})};Cu.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))},Cu.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Lu=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new Cu(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Iu(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]}Lu.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=L(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ui(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Lu.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)},Lu.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)}},Lu.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(hi(e.error)):n(null,hi(e.data)))}else{var i=!1,a=L(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?ui(e):null,data:ui(n,a)},a)}:function(t){i=!0},s=null,l=hi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pu=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]))};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else{if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.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 Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.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},Pu.convert=function(t){return!t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=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\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return[this.lng,this.lat]},Ou.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.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 zu*Math.acos(Math.min(i,1))},Ou.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 Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(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 Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return(180+t)/360}function Bu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r)};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(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)},Vu.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)},Vu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qu=function(t,e){this.wrap=t,this.canonical=e,this.key=Gu(t,e.z,e.z,e.x,e.y)},Hu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vu(r,+n,+i),this.key=Gu(e,t,r,n,i)};function Gu(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)}Hu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.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},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hu(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 Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.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))},Hu.prototype.wrapped=function(){return new Hu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.unwrapTo=function(t){return new Hu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hu.prototype.toUnwrapped=function(){return new qu(this.wrap,this.canonical)},Hu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uu(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vu),oi(\"OverscaledTileID\",Hu,{omit:[\"posMatrix\"]});var Zu=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)]};Zu.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])},Zu.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Zu.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)},Zu.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},oi(\"DEMData\",Zu);var Wu=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}};Wu.prototype.encode=function(t){return this._stringToNumber[t]},Wu.prototype.decode=function(t){return this._numberToString[t]};var Yu=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},Xu={geometry:{configurable:!0}};Xu.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},Xu.geometry.set=function(t){this._geometry=t},Yu.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(Yu.prototype,Xu);var $u=function(){this.state={},this.stateChanges={},this.deletedStates={}};$u.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]},$u.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},$u.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},$u.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},$u.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 c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,h=Object.keys(this.deletedStates[o][c]);u<h.length;u+=1){var f=h[u];delete this.state[o][c][f]}s[c]=this.state[o][c]}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 Ju=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 za,this.promoteId=e};function Ku(t,e,r,n,i){return _(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qu(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 th(t,e){return e-t}Ju.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<po&&u[1]<po&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.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),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(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 c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Lo(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Io(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<m.length;d+=1){var g=m[d];f.push(g)}f.sort(th);for(var y,v={},x=function(a){var u=f[a];if(u!==y){y=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<f.length;_++)x(_);return v},Ju.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=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,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,!0);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;y<h.length;y++){var v=h[y];if(!(a&&a.indexOf(v)<0)){var x=s[v];if(x){var _={};void 0!==g&&c&&(_=c.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var b=p({},l[v]);b.paint=Ku(b.paint,x.paint,d,_,o),b.layout=Ku(b.layout,x.layout,d,_,o);var w=!u||u(d,x,_);if(w){var T=new Yu(d,this.z,this.x,this.y,g);T.layer=b;var k=t[v];void 0===k&&(k=t[v]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Ju.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=An(i),u=0,h=t;u<h.length;u+=1){var f=h[u];this.loadMatchingFeature(l,r,n,f,c,a,o,s,e)}return l},Ju.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},Ju.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\",Ju,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var eh=function(t,e){this.tileID=t,this.uid=m(),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\"};eh.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},eh.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},eh.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 fu){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 fu&&o.hasRTLText){this.hasRTLText=!0,zi.isLoading()||zi.isLoaded()||\"deferred\"!==Ii()||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},eh.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\"},eh.prototype.getBucket=function(t){return this.buckets[t.id]},eh.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 Eu(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Eu(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},eh.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},eh.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},eh.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,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<a.length;f++){var p=a.feature(f);if(o.needGeometry){var d=vo(p,!0);if(!o.filter(new Oi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Oi(this.tileID.overscaledZ),p))continue;var m=r.getId(p,i),g=new Yu(p,l,c,u,m);g.tile=h,t.push(g)}}},eh.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},eh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},eh.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}},eh.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)},eh.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)))}}}},eh.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},eh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},eh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},eh.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},eh.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},eh.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 rh=s.performance,nh=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rh.mark(this._marks.start)};nh.prototype.finish=function(){rh.mark(this._marks.end);var t=rh.getEntriesByName(this._marks.measure);return 0===t.length&&(rh.measure(this._marks.measure,this._marks.start,this._marks.end),t=rh.getEntriesByName(this._marks.measure),rh.clearMarks(this._marks.start),rh.clearMarks(this._marks.end),rh.clearMeasures(this._marks.measure)),t},t.Actor=Lu,t.AlphaImage=Jo,t.CanonicalTileID=Vu,t.CollisionBoxArray=Aa,t.Color=ce,t.DEMData=Zu,t.DataConstantProperty=qi,t.DictionaryCoder=Wu,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=Oi,t.Event=Ot,t.Evented=Rt,t.FeatureIndex=Ju,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=sc,t.ImagePosition=ac,t.LineBucket=ml,t.LngLat=Ou,t.LngLatBounds=Pu,t.MercatorCoordinate=Uu,t.ONE_EM=Cl,t.OverscaledTileID=Hu,t.Point=a,t.Point$1=a,t.Properties=Yi,t.Protobuf=Pl,t.RGBAImage=Ko,t.RequestManager=Z,t.RequestPerformance=nh,t.ResourceType=bt,t.SegmentVector=Da,t.SourceFeatureState=$u,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=ma,t.StructArrayLayout4i8=na,t.SymbolBucket=fu,t.Texture=Eu,t.Tile=eh,t.Transitionable=Fi,t.Uniform1f=$a,t.Uniform1i=Xa,t.Uniform2f=Ja,t.Uniform3f=Ka,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qu,t.ValidationError=Bt,t.WritingMode=lc,t.ZoomHistory=fi,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=lu,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=c,t.bindAll=v,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0)},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fc,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 Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=hn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new bu(t):new wu[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,$,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},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)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?G(p):this.points[p.index])}return c},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,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?G(h):this.points[h.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,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u: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]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?Z(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u)}},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)),c=0;c<t.length;c++){var u=t[c];if(!(u.zoom<=e)){u.zoom=e;for(var h=this.trees[e+1],f=h.within(u.x,u.y,l),p=u.numPoints||1,d=p,m=0,g=f;m<g.length;m+=1){var y=g[m],v=h.points[y];v.zoom>e&&(d+=v.numPoints||1)}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,!0):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T<k.length;T+=1){var A=k[T],M=h.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,_+=M.y*S,M.parentId=w,o&&(b||(b=this._map(u,!0)),o(b,this._map(M)))}}u.parentId=w,r.push(q(x/d,_/d,w,d,b))}else if(r.push(u),d>1)for(var E=0,C=f;E<C.length;E+=1){var L=C[E],I=h.points[L];I.zoom<=e||(I.zoom=e,r.push(I))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=kt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=_t(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(v||[],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 vt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON 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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 c={};if(i){var u=i.finish();u&&(c.resourceTiming={},c.resourceTiming[n.source]=JSON.parse(JSON.stringify(u)))}r(null,c)}))}},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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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 f=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,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=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(v(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(v(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function v(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;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]=+m}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?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m: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,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var _=function(){this.specification=t.styleSpec.light.position};_.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},_.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 b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new _,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(b),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 c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}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],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m)}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=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],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=l.isDash?f:-f;this.data[o+c]=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 c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},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),C=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),L=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}(C),I=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}]),z=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 c=i-r,u=a-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,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 O=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}(z),D=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}(z),R={vector:E,raster:C,\"raster-dem\":L,geojson:I,video:O,image:z,canvas:D};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 c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,i,a,s,F(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];h[m.featureIndex]||(h[m.featureIndex]=!0,f.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 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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 Ct=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Ct.Replace=[1,0],Ct.disabled=new Ct(Ct.Replace,t.Color.transparent,[!1,!1,!1,!1]),Ct.unblended=new Ct(Ct.Replace,t.Color.transparent,[!0,!0,!0,!0]),Ct.alphaBlended=new Ct([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Lt=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Lt.disabled=new Lt(!1,1029,2305),Lt.backCCW=new Lt(!0,1029,2305);var It=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new W(this),this.colorMask=new Y(this),this.depthMask=new X(this),this.stencilMask=new $(this),this.stencilFunc=new J(this),this.stencilOp=new K(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 ct(this),this.program=new ut(this),this.activeTexture=new ht(this),this.viewport=new ft(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new mt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};It.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()},It.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},It.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},It.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},It.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},It.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},It.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)},It.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))},It.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)},It.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)},It.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Ct.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},It.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(zt).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(zt).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(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=!0,l[y]=c[y])}for(var v in l)this._tiles[v].clearFadeHold();for(var x=0,_=t.keysDifference(this._tiles,l);x<_.length;x+=1){var b=_[x],w=this._tiles[b];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(b)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],m=this._tiles[d.key];if(!m.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 v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=!0,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;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)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),f=Math.min(f,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var v=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,f)),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 v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)v(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(Ot(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 zt(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 Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){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 Dt);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 Zt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function $t(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Wt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Xt),f=r.map(Xt),p=e.reduce($t,{}),d=r.reduce($t,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:qt.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[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(u in Yt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Yt(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(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:qt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var Kt=function(t,e){this.reset(t,e)};Kt.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},Kt.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 c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var v=d.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)fe(v.numGlyphs,f);else{g=!1;var x=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,h)){var _=x[3],b=ne(n.transform.cameraToCenterDistance,_),w=t.evaluateSizeForFeature(c,u,v),T=s?w/b:w*b,k=new t.Point(v.anchorX,v.anchorY),A=re(k,a).point,M={},S=le(v,T,!1,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(v,T,!0,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m).notEnoughRoom)&&fe(v.numGlyphs,f)}else fe(v.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function oe(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=ue(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!g)return null;var y=ue(t*m,r,n,i,a,o,s.segment,f,p,l,c,u);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,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,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}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(ue(g*l.getoffsetX(M),y,v,n,h,f,e.segment,_,b,c,o,p));m.push(w.last)}else{if(i&&!n){var S=re(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=re(C,a),I=L.signedDistanceFromCamera>0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};m=[z]}for(var O=0,D=m;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ce(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 ue(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else{var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h)}}x+=_,_=v.dist(y)}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,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 c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,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 c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},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,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var x=v[y];if(!l.circle[x]){l.circle[x]=!0;var _=3*x;if(this._circleAndRectCollide(g[_],g[_+1],g[_+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var b=g[_],w=g[_+1],T=g[_+2];a.push({key:this.circleKeys[x],x1:b-T,y1:w-T,x2:b+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,x=g;v<x.length;v+=1){var _=x[v];if(!c.circle[_]){c.circle[_]=!0;var b=3*_;if(this._circlesCollide(y[b],y[b+1],y[b+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[_])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;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 c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(he,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,me=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)))}me.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=re(m,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,x=re(m,s).point,_=oe(v,i,r.lineOffsetX*v,r.lineOffsetY*v,!1,x,m,r,n,s,{}),b=!1,w=!1,T=!0;if(_){for(var k=.5*f*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Kt,E=_.first,C=_.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return re(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;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/z)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Z=G.x+de,W=G.y+de;d.push(Z,W,k,0);var Y=Z-k,X=W-k,$=Z+k,J=W+k;if(T=T&&this.isOffscreen(Y,X,$,J),w=w||this.isInsideGrid(Y,X,$,J),!e&&this.grid.hitTestCircle(Z,W,k,h)&&(b=!0,!c))return{circles:[],offscreen:!1,collisionDetected:b}}}}return{circles:!c&&b||!w?[]:d,offscreen:T,collisionDetected:b}},me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+de,c.y+de);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,y)&&(h[g.bucketInstanceId][g.featureIndex]=!0,void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]=[]),f[g.bucketInstanceId].push(g.featureIndex))}}return f},me.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])},me.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])},me.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}},me.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},me.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 ve=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)};ve.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},_e=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},be=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,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}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 me(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,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),m=te(h,f,p,this.transform,d),g=null;if(f){var y=ee(h,f,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new be(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,_=a.sortKeyRanges;x<_.length;x+=1){var b=_[x],w=b.sortKey,T=b.symbolInstanceStart,k=b.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:v})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=[h.textOffset0,h.textOffset1],y=Te(t,r,n,g,i),v=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,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?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?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,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,_,b,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt<I.circles.length;tt+=4)Q.circles.push(I.circles[tt+0]),Q.circles.push(I.circles[tt+1]),Q.circles.push(I.circles[tt+2]),Q.circles.push(I.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 C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)M(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},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 c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==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],c=i[s];c?(this.opacities[s]=new ve(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ve(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new ve(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.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 ve(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),f=\"none\"!==a.get(\"icon-text-fit\"),p=new ve(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)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],y=i.opacities[m];g?y=o:y||(y=p,i.opacities[m]=y),r[m]=!0;var v=s>0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De: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||b?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,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=!1}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y)}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(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),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(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*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=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,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var 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 c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.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],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},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\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=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 f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!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,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=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 c in this.sourceCaches){var u=this.sourceCaches[c];l[c]=u.used,u.used=!1}for(var h=0,f=this._order;h<f.length;h+=1){var p=f[h],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var m in l){var g=this.sourceCaches[m];l[m]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:m}))}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 c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))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 v=0,x=t;v<x.length;v+=1){var _=x[v][m];if(_)for(var b=0,w=_;b<w.length;b+=1){var T=w[b];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 c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(B(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1){var f=h[u];c.push(o[f])}c.sort(N);for(var p=function(){var r=m[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]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1){var f=h[u];o.push(f)}}},d=0,m=c;d<m.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(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&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={},c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];if(\"symbol\"===f.type){if(!l[f.source]){var p=this.sourceCaches[f.source];l[f.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(f,l[f.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 m=0,g=this._order;m<g.length;m+=1){var y=g[m],v=this._layers[y];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,l[v.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);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ye=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=br(\"#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;}\"),$e=br(\"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=br(\"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);}\"),Ke=br(\"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=br(\"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=br(\"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=br(\"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=br(\"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=br(\"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=br(\"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=br(\"#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=br(\"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=br(\"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=br(\"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);}\"),cr=br(\"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;}\"),ur=br(\"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;}\"),hr=br(\"#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;}\"),fr=br(\"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=br(\"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=br(\"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);}\"),mr=br(\"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=br(\"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=br(\"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;}\"),vr=br(\"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=br(\"#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);}\"),_r=br(\"#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 br(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:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),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,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},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():[],c=s.concat(l),u=r.staticUniforms?kr(r.staticUniforms):[],h=n?n.getBinderUniforms():[],f=[],p=0,d=u.concat(h);p<d.length;p+=1){var m=d[p];f.indexOf(m)<0&&f.push(m)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Xe.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(Xe.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 _=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(_,v),o.compileShader(_),o.attachShader(this.program,_),this.attributes={};var b={};this.numAttributes=c.length;for(var w=0;w<this.numAttributes;w++)c[w]&&(o.bindAttribLocation(this.program,w,c[w]),this.attributes[c[w]]=w);o.linkProgram(this.program),o.deleteShader(_),o.deleteShader(x);for(var T=0;T<f.length;T++){var k=f[T];if(k&&!b[k]){var A=o.getUniformLocation(this.program,k);A&&(b[k]=A)}}this.fixedUniforms=i(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}}};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,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_<b.length;_+=1){var w=b[_],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),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 c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},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})},Cr=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Cr(e),Mr(n,r,i))},Ir=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},zr=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}},Or=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},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,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},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:Wr(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=Zr(r,a);return{u_matrix:Wr(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=Zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:a.t})};function Zr(t,e){return 1/ge(t,1,e.tileZoom)}function Wr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=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:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Xr(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 $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,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,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(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,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),y=g.getBucket(n);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,_=y.collisionCircleArray;if(_.length>0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var A=0,M=0,S=h;M<S.length;M+=1)for(var E=S[M],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(A++,I,P,z,O,0),k.emplace(A++,I,P,z,O,1),k.emplace(A++,I,P,z,O,2),k.emplace(A++,I,P,z,O,3)}(!$r||$r.length<2*f)&&($r=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}(f));for(var D=l.createIndexBuffer($r,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function sn(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<f.length;g++){var y=f.get(g),v=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||v?null:i[y.crossTileID];if(x){var _=new t.Point(y.anchorX,y.anchorY),b=re(_,n?l:s),w=ne(o.cameraToCenterDistance,b.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(_.add(M),s).point:b.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,C=0;C<y.numGlyphs;C++)t.addDynamicAttributes(p,S,E);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else fe(y.numGlyphs,p)}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I<L.length;I++){var P=L.get(I);if(P.hidden)fe(P.numGlyphs,d);else{var z=m[I];if(z)for(var O=0;O<P.numGlyphs;O++)t.addDynamicAttributes(d,z.shiftedAnchor,z.angle);else fe(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 cn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!v,_=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),b=!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),C=E.getBucket(n);if(C){var L=a?C.text:C.icon;if(L&&L.segments.get().length){var I=L.programConfigurations.get(n.id),P=a||C.sdfIcons,z=a?C.textSizeData:C.iconSizeData,O=y||0!==m.pitch,D=e.useProgram(ln(P,a,C),I),R=t.evaluateSizeForZoom(z,m.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,C.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===z.kind||\"camera\"===z.kind;V=O||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||C.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),Z=te(S.posMatrix,y,g,e.transform,G),W=ee(S.posMatrix,y,g,e.transform,G),Y=T&&C.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&C.hasIconData();v&&ae(C,S.posMatrix,e,a,Z,W,y,u);var $=e.translatePosMatrix(S.posMatrix,E,o,s),J=v||a&&T||X?an:Z,K=e.translatePosMatrix(W,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:L,uniformValues:P?C.iconsInText?Qr(z.kind,R,x,y,e,$,J,K,F,B):Kr(z.kind,R,x,y,e,$,J,K,a,F,!0):Jr(z.kind,R,x,y,e,$,J,K,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(_&&C.canOverlap){b=!0;for(var et=0,rt=L.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:L.segments,sortKey:0,state:tt})}}}b&&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,un(st.buffers,ot.segments,n,e,st.program,w,h,f,lt)),lt.u_is_halo=0}un(st.buffers,ot.segments,n,e,st.program,w,h,f,st.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Lt.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function hn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var v=y[g],x=e.getTile(v);if(!d||x.patternsLoaded()){var _=x.getBucket(r);if(_){var b=_.programConfigurations.get(r.id),w=t.useProgram(l,b);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),b.updatePaintBuffers(m));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&&b.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(v.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=_.indexBuffer2,h=_.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Pr(S,t,m,x,E):Ir(S,E)}else u=_.indexBuffer,h=_.segments,c=d?Lr(S,t,m,x):Cr(S);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,r.id,_.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,b)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),y=g.getBucket(r);if(y){var v=y.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var _=c.constantOr(null);if(_&&g.imageAtlas){var b=g.imageAtlas,w=b.patternPositions[_.to.toString()],T=b.patternPositions[_.from.toString()];w&&T&&v.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?Er(k,t,A,f,m,h,g):Sr(k,t,A,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,v)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=jr(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Lt.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.dem;if(c&&c.data){var u=c.dim,h=c.stride,f=c.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,f,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 m=new t.Texture(s,{width:u,height:u,data:null},l.RGBA);m.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(u,u,!0)).colorAttachment.set(m.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Lt.disabled,Ur(r.tileID,c),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function mn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(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,vn),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,_n)}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,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,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,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,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,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),v=ge(d,1,r.transform.zoom),x=te(p.posMatrix,u,c,r.transform,v),_=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(y){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,b,y,_)}}}}(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)&&cn(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)&&cn(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 c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=Et.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],y=r.getTile(g),v=y.getBucket(n);if(v){var x=v.programConfigurations.get(n.id),_={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:zr(e,g,y,n)};if(l)for(var b=0,w=v.segments.get();b<w.length;b+=1){var T=w[b];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:_})}else d.push({segments:v.segments,sortKey:0,state:_})}}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,C=S.program,L=S.layoutVertexBuffer,I=S.indexBuffer,P=S.uniformValues,z=M.segments;C.draw(c,u.TRIANGLES,h,f,p,Lt.disabled,P,n.id,L,I,z,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 Ct([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 c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Lt.disabled,Br(u.posMatrix,h,m,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.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(),Lt.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(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=e.context,g=m.gl,y=!0,v=0,x=i;v<x.length;v+=1){var _=x[v],b=r.getTile(_);if(!h||b.patternsLoaded()){var w=b.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=u.constantOr(null);if(S&&b.imageAtlas){var E=b.imageAtlas,C=E.patternPositions[S.to.toString()],L=E.patternPositions[S.from.toString()];C&&L&&T.setConstantPatternPositions(C,L)}var I=h?Hr(e,b,n,p):c?Gr(e,b,n,c,p):f?qr(e,b,n,w.lineClipsArray.length):Vr(e,b,n);if(h)m.activeTexture.set(g.TEXTURE0),b.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(c&&(M||e.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m);else if(f){var P=w.gradients[n.id],z=P.texture;if(n.gradientVersion!==P.version){var O=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=_.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-_.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;O=t.clamp(t.nextPowerOfTwo(F),256,m.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:O,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(m,P.gradient,g.RGBA),P.version=n.gradientVersion,z=P.texture}m.activeTexture.set(g.TEXTURE0),z.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Lt.disabled,I,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\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);hn(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);hn(e,r,n,i,h,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))fn(t,e,r,n,a,Et.disabled,Ct.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(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],c=0,u=s[1];c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,f,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,f,r,a,l[h.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(),c=o instanceof z?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,m=h;d<m.length;d+=1){var g=m[d],y=t.depthModeForSublayer(g.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),v=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var _=e.findLoadedParent(g,0),b=mn(v,_,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),v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),_?(_.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,_.tileID.overscaledZ-v.tileID.overscaledZ),T=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,b,r);o instanceof z?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Lt.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.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,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=Et.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var x=v[y],_=t.transform.calculatePosMatrix(x.toUnwrapped()),b=c?en(_,i,t,c,{tileID:x,tileSize:l},g):tn(_,i,n);d.draw(a,o.TRIANGLES,f,h,p,Lt.disabled,b,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 It(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,Ye.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,Ye.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,Ye.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,Ct.disabled,Lt.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(Ct.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),Ct.disabled,Lt.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 Ct([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ct.unblended:Ct.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,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var y=0,v=i;y<v.length;y+=1){var x=v[y],_=this.style._layers[x];if(_.hasOffscreenPass()&&!_.isHidden(this.transform.zoom)){var b=h[_.source];(\"custom\"===_.type||b.length)&&this.renderLayer(this,a[_.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=u[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?f:h)[A.source];this._renderTileClippingMasks(A,u[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!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(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 c=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},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 Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Cn.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 Cn(n,i)},Cn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Cn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Cn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var Ln=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};Ln.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},Ln.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)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var In=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 Ln,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}};In.prototype.clone=function(){var t=new In(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)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},In.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)},In.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.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 c=function(t){return{aabb:new Cn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<<f-m.zoom)-2;if(m.zoom===f||w>T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.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);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.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},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.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)},In.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)},In.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())},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},In.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])},In.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)))},In.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},In.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])},In.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]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-v<s&&(n=s+v),y+v>l&&(n=l-v)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},In.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={}}},In.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},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(In.prototype,Pn);var zn=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})};zn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},zn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},zn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},zn.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(\"/\")},zn.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},zn.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 On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),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({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var c=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+c.amount,jn(s,c)}if(r.bearing){var u=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),jn(s,u)}if(r.pitch){var h=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+h.amount,jn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):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)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),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 Zn=function(t){this._map=t};Zn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Zn.prototype.mousedown=function(){this._delayContextMenu=!0},Zn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Zn.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()},Zn.prototype.isEnabled=function(){return!0},Zn.prototype.isActive=function(){return!1},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Wn.prototype.isEnabled=function(){return!!this._enabled},Wn.prototype.isActive=function(){return!!this._active},Wn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Wn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Wn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Wn.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\"}}},Wn.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)}},Wn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Wn.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},Wn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Xn=function(t){this.reset(),this.numTouches=t.numTouches};Xn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Xn.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=Yn(n,r)))},Xn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Xn.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 $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset()};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},$n.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 $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({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 Kn={};Kn[0]=1,Kn[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=Kn[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=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},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 ci=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 ui(t){return Math.abs(t.y)>Math.abs(t.x)}var hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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,ui(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 ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;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 mi=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%mi==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)>mi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},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 vi=function(){this.reset()};vi.prototype.reset=function(){this._active=!1},vi.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})}}},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({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 _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.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],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};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 Wn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new vi;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 hi;this._add(\"touchPitch\",s);var l=new ei(t),c=new ri(t);e.dragRotate=new bi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new ti(t),h=new ni(t);e.dragPan=new _i(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new ci,p=new si;e.touchZoomRotate=new wi(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new pi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new Zn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v])}},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),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,f,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[f]=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 v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],v(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],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},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,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),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 c=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=c),this._eventsInProgress[l]=e[l]}for(var u in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(u,s[u]);for(var h in o&&this._fireEvent(\"move\",o.originalEvent),e){var f=e[h].originalEvent;this._fireEvent(h,f)}var p,d={};for(var m in this._eventsInProgress){var g=this._eventsInProgress[m],y=g.handlerName,v=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[m],p=r[y]||v,d[m+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var _=Ti(this._eventsInProgress);if(n&&(a||o)&&!_){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};b?(w(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{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,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=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),_=(i.padding.left-i.padding.right)/2,b=(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(v));return{center:s.unproject(c.add(u).div(2).sub(T)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,x=i.project(m),_=i.project(g).sub(x),b=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,v);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2)}var S=b*b;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/b;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/b,z=function(){return 0},P=function(t){return Math.exp(D*b*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/b:+e.speed;e.duration=1e3*O/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(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 Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ci.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},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ci.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ci.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}},Ci.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 Li=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Li.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)}},Li.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},Li.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ii={\"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,zi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,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>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(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 Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,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 zi))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 zn(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 Ci,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?Di:t)>Di)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 We(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 We(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||Oi&&r instanceof Oi){var c=t.browser.getImageData(r),u=c.width,h=c.height,f=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},f),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,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),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||Oi&&r instanceof Oi?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||Oi&&r instanceof Oi);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 c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=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:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);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,Zi=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 c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}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 m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.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\"),m.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 v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.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 _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),v.appendChild(x),v.appendChild(_),s.appendChild(l),s.appendChild(p),s.appendChild(m),s.appendChild(y),s.appendChild(v),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),Wi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Yi=0,Xi=!1,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,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,Yi=0,Xi=!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&&Xi)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 Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({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\":Yi--,Xi=!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\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=!0):(e=this.options.positionOptions,Xi=!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\"},Ki=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}Ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options)},Ki.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},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ki.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,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.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:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,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}()},27549:function(t,e,r){\"use strict\";t.exports=r(55366)},55366:function(t,e,r){\"use strict\";var n=r(31625),i=r(75144),a=r(5137),o=r(78112),s=r(6807),l=r(68650),c=r(83473),u=r(60201),h=r(10275),f=r(62914);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,c=t.length/2;l<c;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[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},74024:function(t,e,r){\"use strict\";var n=r(59518),i=r(6807),a=r(81330),o=r(38862),s=r(93103),l=r(162),c=r(68950),u=r(66127),h=r(5137),f=r(29388),p=r(4957),d=r(44626),m=r(44431),g=r(27976),y=r(12673),v=r(83473),x=r(54689).nextPow2,_=new s,b=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(b=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=_.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(),_.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(f(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=v(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,c=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),c&&(t.variant=c)}var u=n.stringify({size:T.baseFontSize,family:t.family,stretch:b?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),h=p(t.size),f=Math.round(h[0]*d(h[1]));if(f!==e.fontSize[r]&&(o=!0,e.fontSize[r]=f),!(e.font[r]&&u==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[u],e.font[r]))){var m=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),b&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:u,family:m,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(m,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[u]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:b?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),f=0;f<s.length;f++)s[f]=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 _=1;_<t.text.length;_++)this.textOffsets[_]=this.textOffsets[_-1]+t.text[_-1].length,this.count+=t.text[_].length,this.counts.push(t.text[_].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,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),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 C=0;C<S;C++)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}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var 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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=u.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Z(W,W+4),\"uint8\"),W)}else{var Y=t.color.length;H=u.mallocUint8(4*Y);for(var X=0;X<Y;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}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 $=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array($);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},38862:function(t,e,r){\"use strict\";var n=r(6807);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 c(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 u=[];function h(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(f(t.children[r]))}function f(t){for(var e=0;e<t.children.length;e++)h(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)h(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};t.exports=e},26202:function(t,e,r){var n=r(48916);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,c=n.other.pt,(0!==(u=e.pointsCompare(a,l))?u:e.pointsSame(o,c)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:c,s?c:l)?1:-1)<0;var i,a,o,s,l,c,u}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(f)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 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y,v,x=g();if(x)t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=f.seg.myFill,r&&r.segmentUpdate(x.seg),f.other.remove(),f.remove();if(a.getHead()!==f){r&&r.rewind(f.seg);continue}t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=m?m.seg.myFill.above:i,f.seg.myFill.above=v?!f.seg.myFill.below:f.seg.myFill.below):null===f.seg.otherFill&&(y=m?f.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:y,below:y}),r&&r.status(f.seg,!!d&&d.seg,!!m&&m.seg),f.other.status=p.insert(n.node({ev:f}))}else{var _=f.status;if(null===_)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(_.prev)&&s.exists(_.next)&&u(_.prev.ev,_.next.ev),r&&r.statusRemove(_.ev.seg),_.remove(),!f.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},17527: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},3944: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),c=this.read_uint32(n+4),u=this.exif_format_length(l),h=c*u,f=h<=4?n+8:this.read_uint32(n+8),p=!1;if(f+h>this.input.length)throw 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(_.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},v,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<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=h(e.scale),e.translateFract=h(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}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*f),b=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(b.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=h(g,T);p(k),d(b),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var f=[[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]]},49478:function(t,e,r){\"use strict\";var n=r(162),i=r(78112),a=r(27976),o=r(6807),s=r(83473),l=r(25782),c=r(90956),u=r(51498),h=u.float32,f=u.fract32,p=r(93103),d=r(5137),m=r(33055);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 depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\",frag:\"\\nprecision highp float;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\",uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},g.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},g.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},g.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},g.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,u=this.gl;if(t.forEach((function(t,p){var y=e.passes[p];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),y||(e.passes[p]=y={id:p,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},g.defaults,t)),null!=t.thickness&&(y.thickness=parseFloat(t.thickness)),null!=t.opacity&&(y.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(y.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(y.overlay=!!t.overlay,p<g.maxLines&&(y.depth=2*(g.maxLines-1-p%g.maxLines)/g.maxLines-1)),null!=t.join&&(y.join=t.join),null!=t.hole&&(y.hole=t.hole),null!=t.fill&&(y.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(y.viewport=d(t.viewport)),y.viewport||(y.viewport=d([u.drawingBufferWidth,u.drawingBufferHeight])),null!=t.close&&(y.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,x;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;x=y.count=Math.max(_.length,b.length),v=new Float64Array(2*x);for(var w=0;w<x;w++)v[2*w]=_[w],v[2*w+1]=b[w]}else v=s(t.positions,\"float64\"),x=y.count=Math.floor(v.length/2);var T=y.bounds=i(v,2);if(y.fill){for(var k=[],A={},M=0,S=0,E=0,C=y.count;S<C;S++){var L=v[2*S],I=v[2*S+1];isNaN(L)||isNaN(I)||null==L||null==I?(L=v[2*M],I=v[2*M+1],A[S]=M):M=S,k[E++]=L,k[E++]=I}if(t.splitNull){y.count-1 in A||(A[y.count]=y.count-1);var P=Object.keys(A).map(Number).sort((function(t,e){return t-e})),z=[],O=0,D=null!=y.hole?y.hole[0]:null;if(null!=D){var R=m(P,(function(t){return t>=D}));(P=P.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*O,2*P[t]).concat(D?k.slice(2*D):[]),r=(y.hole||[]).map((function(e){return e-D+(P[t]-O)})),n=l(e,r);n=n.map((function(e){return e+O+(e+O<P[t]?0:D-P[t])})),z.push.apply(z,n),O=P[t]+1},B=0;B<P.length;B++)F(B);for(var N=0,j=z.length;N<j;N++)null!=A[z[N]]&&(z[N]=A[z[N]]);y.triangles=z}else{for(var U=l(k,y.hole||[]),V=0,q=U.length;V<q;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);y.triangles=U}}var H=new Float64Array(v);c(H,2,T);var G=new Float64Array(2*x+6);y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],y.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]);var Z=h(G);y.positionBuffer(Z);var W=f(G,Z);y.positionFractBuffer(W)}if(t.range?y.range=t.range:y.range||(y.range=y.bounds),(t.range||t.positions)&&y.count){var Y=y.bounds,X=Y[2]-Y[0],$=Y[3]-Y[1],J=y.range[2]-y.range[0],K=y.range[3]-y.range[1];y.scale=[X/J,$/K],y.translate=[-y.range[0]/J+Y[0]/J||0,-y.range[1]/K+Y[1]/K||0],y.scaleFract=f(y.scale),y.translateFract=f(y.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*g.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*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,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ht=0;ht<lt;ht++){var ft=n(ct[ht],\"uint8\");ut.set(ft,4*ht)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}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 v=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&v.push(this.passes[x]);return this.passes=v,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},62172:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,c=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){c=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(162),s=r(78112),l=r(46762),c=r(27549),u=r(27976),h=r(76765),f=r(6807),p=r(79788),d=r(83473),m=r(39488),g=r(51498),y=r(5137),v=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),u(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=u({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\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 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"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=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\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\"]),m&&(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,c=e.count;if(this.regl,!a)return r?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var y=f.length;y--;){var v=n(f[y],2),x=v[0],_=v[1];h.push(u({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:_-x}))}return h},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,h=this.maxColors,m=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=f(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=u({},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 v=0,_=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),v+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),v+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),_++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),_++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,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 u=e.count=Math.floor(t.length/2),h=e.bounds=u?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=c(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](h):i[u]=o.buffer(h),i[u].data=a[u]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),v){var b=n,w=b.count,T=b.size,k=b.borderSize,A=b.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(_){var E,C=n,L=C.count,I=C.color,P=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(I.length||P.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=I[O];E[8*O]=m[4*D],E[8*O+1]=m[4*D+1],E[8*O+2]=m[4*D+2],E[8*O+3]=m[4*D+3];var R=P[O];E[8*O+4]=m[4*R],E[8*O+5]=m[4*R+1],E[8*O+6]=m[4*R+2],E[8*O+7]=m[4*R+3]}}}else if(I.length||P.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=I[F]&&(E[4*F]=I[F]%h,E[4*F+1]=Math.floor(I[F]/h)),null!=P[F]&&(E[4*F+2]=P[F]%h,E[4*F+3]=Math.floor(P[F]/h))}z({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 c=0;c<t.length;c+=4)a.push(t.subarray(c,c+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=o(h,\"uint8\");var f=l(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}i[u]=e[f]}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 _=r(27976);t.exports=function(t,e){var r=new v(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},31239:function(t,e,r){\"use strict\";var n=r(62172),i=r(6807),a=r(78112),o=r(16494),s=r(27902),l=r(5137),c=r(83473);function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new 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(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,y=s.viewport.width,v=s.viewport.height,x=s.viewport.x,_=s.viewport.y,b=y/m,w=v/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=h(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:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=f(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?f(s.padding,T,k):s.padding;if(s.domain){var E=f(s.domain,T,k),C=E[0],L=E[1],I=E[2],P=E[3];M.viewport=[x+C*y+S[0],_+L*v+S[1],x+I*y-S[2],_+P*v-S[3]]}else M.viewport=[x+k*b+b*S[0],_+T*w+w*S[1],x+(k+1)*b-b*S[2],_+(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?f(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],h=u.passes,f=u.passOffset;h=h.map((function(t,e){n[f+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),h[t-h[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=f[o-f[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var h=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(h/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=h[t-h[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a={}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=h[o.year-h[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++)s+=u&1<<12-d?30:29;var m=f[o.year-f[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a={}}var o=f[i.year-f[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=f[a.year-f[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=h[a.year-h[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;return!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p),a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if(\"y\"===r){var c=l.year(),u=l.month(),h=this.isIntercalaryMonth(c,s),f=a&&h?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);f!==u&&l.month(f)}return l}});var s=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,l=/^\\d?\\d[iI]?/m,c=/^闰?十?[一二三四五六七八九]?月/m,u=/^闰?十?[一二三四五六七八九]?/m;n.calendars.chinese=o;var 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n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},28569:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},81133:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},78295:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},25512:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-khamīs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},62324:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},91662:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},66445:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)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},41858:function(t,e,r){var n=r(24453),i=r(27976),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},57985:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(27976);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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t=ae(e);if(r){if(r===t)continue;r=dt;break}r=t}return _t(r||dt,e)}return pt}function oe(t){const e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Xt||t instanceof Kt||t instanceof Qt||t instanceof ee||t instanceof re?t.toString():JSON.stringify(t)}class se{constructor(t,e){this.type=t,this.value=e}static parse(t,e){if(2!==t.length)return e.error(`'literal' expression requires exactly one argument, but found ${t.length-1} instead.`);if(!ie(t[1]))return e.error(\"invalid value\");const r=t[1];let n=ae(r);const i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new se(n,r)}evaluate(){return this.value}eachChild(){}outputDefined(){return!0}}class le{constructor(t){this.name=\"ExpressionEvaluationError\",this.message=t}toJSON(){return this.message}}const ce={string:ut,number:ct,boolean:ht,object:pt};class ue{constructor(t,e){this.type=t,this.args=e}static 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st,a=[]){this.registry=t,this.path=r,this.key=r.map((t=>`[${t}]`)).join(\"\"),this.scope=i,this.errors=a,this.expectedType=n,this._isConstant=e}parse(t,e,r,n,i={}){return e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)}_parse(t,e){function r(t,e,r){return\"assert\"===r?new ue(e,[t]):\"coerce\"===r?new fe(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. 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be{constructor(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a}static parse(t,e){if(t.length<5)return e.error(`Expected at least 4 arguments, but found only ${t.length-1}.`);if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");let r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);const i={},a=[];for(let o=2;o<t.length-1;o+=2){let s=t[o];const l=t[o+1];Array.isArray(s)||(s=[s]);const c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(const t of s){if(\"number\"!=typeof t&&\"string\"!=typeof t)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof t&&Math.abs(t)>Number.MAX_SAFE_INTEGER)return c.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(\"number\"==typeof t&&Math.floor(t)!==t)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(t)))return null}else r=ae(t);if(void 0!==i[String(t)])return c.error(\"Branch labels must be unique.\");i[String(t)]=a.length}const u=e.parse(l,o,n);if(!u)return null;n=n||u.type,a.push(u)}const o=e.parse(t[1],1,dt);if(!o)return null;const s=e.parse(t[t.length-1],t.length-1,n);return s?\"value\"!==o.type.kind&&e.concat(1).checkSubtype(r,o.type)?null:new be(r,n,o,i,a,s):null}evaluate(t){const e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)}eachChild(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)}outputDefined(){return this.outputs.every((t=>t.outputDefined()))&&this.otherwise.outputDefined()}}class we{constructor(t,e,r){this.type=t,this.branches=e,this.otherwise=r}static parse(t,e){if(t.length<4)return e.error(`Expected at least 3 arguments, but found only ${t.length-1}.`);if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");let 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Qt(Ie(t.values,e.values,r))},variableAnchorOffsetCollection:function(t,e,r){const n=t.values,i=e.values;if(n.length!==i.length)throw new le(`Cannot interpolate values of different length. from: ${t.toString()}, to: ${e.toString()}`);const a=[];for(let t=0;t<n.length;t+=2){if(n[t]!==i[t])throw new le(`Cannot interpolate values containing mismatched anchors. from[${t}]: ${n[t]}, to[${t}]: ${i[t]}`);a.push(n[t]);const[e,o]=n[t+1],[s,l]=i[t+1];a.push([Le(e,s,r),Le(o,l,r)])}return new ee(a)}};class ze{constructor(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(const[t,e]of i)this.labels.push(t),this.outputs.push(e)}static interpolationFactor(t,e,r,n){let i=0;if(\"exponential\"===t.name)i=Oe(e,t.base,r,n);else if(\"linear\"===t.name)i=Oe(e,1,r,n);else if(\"cubic-bezier\"===t.name){const a=t.controlPoints;i=new Ce(a[0],a[1],a[2],a[3]).solve(Oe(e,1,r,n))}return i}static 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e.error(\"Expected one argument.\");const r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");const n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,ht);if(!n)return null;const i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,ht);if(!i)return null;let a=null;return r.locale&&(a=e.parse(r.locale,1,ut),!a)?null:new Ge(n,i,a)}evaluate(t){return new $t(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)}eachChild(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)}outputDefined(){return!1}}class Ze{constructor(t,e,r,n,i){this.type=ut,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i}static parse(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");let i=null;if(n.locale&&(i=e.parse(n.locale,1,ut),!i))return null;let a=null;if(n.currency&&(a=e.parse(n.currency,1,ut),!a))return null;let o=null;if(n[\"min-fraction-digits\"]&&(o=e.parse(n[\"min-fraction-digits\"],1,ct),!o))return null;let s=null;return n[\"max-fraction-digits\"]&&(s=e.parse(n[\"max-fraction-digits\"],1,ct),!s)?null:new Ze(r,i,a,o,s)}evaluate(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))}eachChild(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)}outputDefined(){return!1}}class We{constructor(t){this.type=gt,this.sections=t}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");const n=[];let i=!1;for(let r=1;r<=t.length-1;++r){const a=t[r];if(i&&\"object\"==typeof a&&!Array.isArray(a)){i=!1;let t=null;if(a[\"font-scale\"]&&(t=e.parse(a[\"font-scale\"],1,ct),!t))return null;let r=null;if(a[\"text-font\"]&&(r=e.parse(a[\"text-font\"],1,_t(ut)),!r))return null;let o=null;if(a[\"text-color\"]&&(o=e.parse(a[\"text-color\"],1,ft),!o))return null;const s=n[n.length-1];s.scale=t,s.font=r,s.textColor=o}else{const a=e.parse(t[r],1,dt);if(!a)return null;const 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r=Math.pow(2,e.z),n=(t[0]/$e+e.x)/r,i=(t[1]/$e+e.y)/r;return[(o=n,360*o-180),(a=i,360/Math.PI*Math.atan(Math.exp((180-360*a)*Math.PI/180))-90)];var a,o}function Qe(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function tr(t,e){return!(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function er(t,e,r){const n=t[0]-e[0],i=t[1]-e[1],a=t[0]-r[0],o=t[1]-r[1];return n*o-a*i==0&&n*a<=0&&i*o<=0}function rr(t,e,r,n){const i=[e[0]-t[0],e[1]-t[1]];return 0!=(a=[n[0]-r[0],n[1]-r[1]],o=i,a[0]*o[1]-a[1]*o[0])&&!(!lr(t,e,r,n)||!lr(r,n,t,e));var a,o}function nr(t,e,r){for(const n of r)for(let r=0;r<n.length-1;++r)if(rr(t,e,n[r],n[r+1]))return!0;return!1}function ir(t,e,r=!1){let n=!1;for(const s of e)for(let e=0;e<s.length-1;e++){if(er(t,s[e],s[e+1]))return r;i=t,a=s[e],o=s[e+1],a[1]>i[1]!=o[1]>i[1]&&i[0]<(o[0]-a[0])*(i[1]-a[1])/(o[1]-a[1])+a[0]&&(n=!n)}var i,a,o;return n}function ar(t,e){for(const r of e)if(ir(t,r))return!0;return!1}function 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Object.keys(this._values))if(this._values[t].prior)return!0;return!1}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e))}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r)}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r}isConstant(){return\"constant\"===this.value.kind}constantOr(t){return\"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e}possiblyEvaluate(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(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 Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const 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 Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=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 Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const 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}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)}interpolate(){return!1}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>!0,needGeometry:!1},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:!1});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return!1}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return!1}isHidden(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(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)}serialize(){const 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,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return(!i||!1!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(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}}class ca{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(t){this.reserve(t),this.length=t}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return{members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const 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}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy()}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n)}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r<n;){const t=r+n>>1;this.ids[t]>=e?n=t:r=t+1}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e}}function To(t){const e=+t;return!isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r<n;){const i=t[r+n>>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]<i);do{o--}while(t[o]>i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2)}o-r<n-o?(ko(t,e,r,o),r=o+1):(ko(t,e,o+1,n),n=o)}}function Ao(t,e,r){const n=t[e];t[e]=t[r],t[r]=n}Mi(\"FeaturePositionMap\",wo);class Mo{constructor(t,e){this.gl=t.gl,this.location=e}}class So extends Mo{constructor(t,e){super(t,e),this.current=0}set(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))}}class Eo extends Mo{constructor(t,e){super(t,e),this.current=[0,0,0,0]}set(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))}}class Co extends Mo{constructor(t,e){super(t,e),this.current=Xt.transparent}set(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))}}const Lo=new Float32Array(16);function Io(t){return[fo(255*t.r,255*t.g),fo(255*t.b,255*t.a)]}class Po{constructor(t,e,r){this.value=t,this.uniformNames=e.map((t=>`u_${t}`)),this.type=r}setUniform(t,e,r){t.set(r.constantOr(this.value))}getBinding(t,e,r){return\"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)}getBinding(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,n[0],n[1])}else{for(let n=t;n<e;n++)this.paintVertexArray.emplace(n,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}}upload(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))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Do{constructor(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((t=>`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,i[0],i[1],a[0],a[1])}else{for(let i=t;i<e;i++)this.paintVertexArray.emplace(i,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}}upload(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))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(t,e){const r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=m(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)}getBinding(t,e,r){return new So(t,e)}}class Ro{constructor(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}populatePaintArray(t,e,r){const n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)}updatePaintArray(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)}_setPaintValues(t,e,r,n){if(!n||!r)return;const{min:i,mid:a,max:o}=r,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(let r=t;r<e;r++)this.zoomInPaintVertexArray.emplace(r,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(r,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}upload(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,po.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,po.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Fo{constructor(t,e,r){this.binders={},this._buffers=[];const n=[];for(const i in t.paint._values){if(!r(i))continue;const a=t.paint.get(i);if(!(a instanceof Ji&&hn(a.property.specification)))continue;const o=No(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new zo(s.value,o):new Po(s.value,o,l),n.push(`/u_${i}`);else if(\"source\"===s.kind||h){const r=jo(i,l,\"source\");this.binders[i]=h?new Ro(s,l,c,e,r,t.id):new Oo(s,o,l,r),n.push(`/a_${i}`)}else{const t=jo(i,l,\"composite\");this.binders[i]=new Do(s,o,l,c,e,t),n.push(`/z_${i}`)}}this.cacheKey=n.sort().join(\"\")}getMaxValue(t){const e=this.binders[t];return e instanceof Oo||e instanceof Do?e.maxValue:0}populatePaintArrays(t,e,r,n,i){for(const a in this.binders){const o=this.binders[a];(o instanceof Oo||o instanceof Do||o instanceof Ro)&&o.populatePaintArray(t,e,r,n,i)}}setConstantPatternPositions(t,e){for(const r in this.binders){const n=this.binders[r];n instanceof zo&&n.setConstantPatternPositions(t,e)}}updatePaintArrays(t,e,r,n,i){let a=!1;for(const o in t){const s=e.getPositions(o);for(const e of s){const s=r.feature(e.index);for(const r in this.binders){const l=this.binders[r];if((l instanceof Oo||l instanceof Do||l instanceof Ro)&&!0===l.expression.isStateDependent){const c=n.paint.get(r);l.expression=c.value,l.updatePaintArray(e.start,e.end,s,t[o],i),a=!0}}}}return a}defines(){const t=[];for(const e in this.binders){const r=this.binders[e];(r instanceof Po||r instanceof zo)&&t.push(...r.uniformNames.map((t=>`#define HAS_UNIFORM_${t}`)))}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e<r.paintVertexAttributes.length;e++)t.push(r.paintVertexAttributes[e].name);else if(r instanceof Ro)for(let e=0;e<po.members.length;e++)t.push(po.members[e].name)}return t}getBinderUniforms(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Po||r instanceof zo||r instanceof Do)for(const e of r.uniformNames)t.push(e)}return t}getPaintVertexBuffers(){return this._buffers}getUniforms(t,e){const r=[];for(const n in this.binders){const i=this.binders[n];if(i instanceof Po||i instanceof zo||i instanceof Do)for(const a of i.uniformNames)if(e[a]){const o=i.getBinding(t,e[a],a);r.push({name:a,property:n,binding:o})}}return r}setUniforms(t,e,r,n){for(const{name:t,property:i,binding:a}of e)this.binders[i].setUniform(a,n,r.get(i),t)}updatePaintBuffers(t){this._buffers=[];for(const e in this.binders){const r=this.binders[e];if(t&&r instanceof Ro){const e=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;e&&this._buffers.push(e)}else(r instanceof Oo||r instanceof Do)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}}upload(t){for(const e in this.binders){const r=this.binders[e];(r instanceof Oo||r instanceof Do||r instanceof Ro)&&r.upload(t)}this.updatePaintBuffers()}destroy(){for(const t in this.binders){const e=this.binders[t];(e instanceof Oo||e instanceof Do||e instanceof Ro)&&e.destroy()}}}class Bo{constructor(t,e,r=(()=>!0)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=!1,this._featureMap=new wo,this._bufferOffset=0}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}}destroy(){for(const t in this.programConfigurations)this.programConfigurations[t].destroy()}}function No(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(`${e}-`,\"\").replace(/-/g,\"_\")]}function jo(t,e,r){const n={color:{source:ya,composite:Oa},number:{source:Ca,composite:ya}},i=function(t){return{\"line-pattern\":{source:Qa,composite:Qa},\"fill-pattern\":{source:Qa,composite:Qa},\"fill-extrusion-pattern\":{source:Qa,composite:Qa}}[t]}(t);return 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Ya,this.indexArray=new ao,this.segments=new ho,this.programConfigurations=new Bo(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){const n=this.layers[0],i=[];let a=null,o=!1;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"),o=!a.isConstant());for(const{feature:e,id:n,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=o?a.evaluate(c,{},r):void 0,h={id:n,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};i.push(h)}o&&i.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of i){const{geometry:i,index:a,sourceLayerIndex:o}=n,s=t[a].feature;this.addFeature(n,i,a,r),e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,lo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}addFeature(t,e,r,n){for(const r of e)for(const e of r){const r=e.x,n=e.y;if(r<0||r>=Uo||n<0||n>=Uo)continue;const i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),a=i.vertexLength;Zo(this.layoutVertexArray,r,n,-1,-1),Zo(this.layoutVertexArray,r,n,1,-1),Zo(this.layoutVertexArray,r,n,1,1),Zo(this.layoutVertexArray,r,n,-1,1),this.indexArray.emplaceBack(a,a+1,a+2),this.indexArray.emplaceBack(a,a+3,a+2),i.vertexLength+=4,i.primitiveLength+=2}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)}}function Yo(t,e){for(let r=0;r<t.length;r++)if(ns(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(ns(t,e[r]))return!0;return!!Ko(t,e)}function Xo(t,e,r){return!!ns(t,e)||!!ts(e,t,r)}function $o(t,e){if(1===t.length)return rs(e,t[0]);for(let r=0;r<e.length;r++){const n=e[r];for(let e=0;e<n.length;e++)if(ns(t,n[e]))return!0}for(let r=0;r<t.length;r++)if(rs(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(Ko(t,e[r]))return!0;return!1}function Jo(t,e,r){if(t.length>1){if(Ko(t,e))return!0;for(let n=0;n<e.length;n++)if(ts(e[n],t,r))return!0}for(let 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Qi(Z.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Qi(Z.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Qi(Z.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Qi(Z.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new ta(Z.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new ta(Z.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new ta(Z.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ls=ls||new ia({\"circle-sort-key\":new ta(Z.layout_circle[\"circle-sort-key\"])})}},hs=1e-6,fs=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ps(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function ds(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t}Math.hypot||(Math.hypot=function(){for(var t=0,e=arguments.length;e--;)t+=arguments[e]*arguments[e];return Math.sqrt(t)});var ms=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t};var gs=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};var ys=ds;function vs(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}var xs,_s=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t};xs=new fs(4),fs!=Float32Array&&(xs[0]=0,xs[1]=0,xs[2]=0,xs[3]=0);class bs extends oa{constructor(t){super(t,us)}createBucket(t){return new Wo(t)}queryRadius(t){const e=t;return as(\"circle-radius\",this,e)+as(\"circle-stroke-width\",this,e)+os(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o,s){const l=ss(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return t.map((t=>ws(t,e)))}(l,s),f=u?c*o:c;for(const t of n)for(const e of t){const t=u?e:ws(e,s);let r=f;const n=vs([],[e.x,e.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?r*=n[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(r*=a.cameraToCenterDistance/n[3]),Xo(h,t,r))return!0}return!1}}function ws(t,e){const r=vs([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}class Ts extends Wo{}let ks;Mi(\"HeatmapBucket\",Ts,{omit:[\"layers\"]});var As={get paint(){return ks=ks||new ia({\"heatmap-radius\":new 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ta(Z.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Qi(Z.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Qi(Z.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ea(Z.paint_fill[\"fill-pattern\"])})},get layout(){return dl=dl||new ia({\"fill-sort-key\":new ta(Z.layout_fill[\"fill-sort-key\"])})}};class yl extends oa{constructor(t){super(t,gl)}recalculate(t,e){super.recalculate(t,e);const r=this.paint._values[\"fill-outline-color\"];\"constant\"===r.value.kind&&void 0===r.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(t){return new pl(t)}queryRadius(){return os(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o){return $o(ss(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)}isTileClipped(){return!0}}const vl=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),xl=ua([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:_l,size:bl,alignment:wl}=vl;var Tl={},kl=n,Al=Ml;function Ml(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Sl,this,e)}function Sl(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function El(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ml.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ml.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,a=0,o=0,s=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&s.push(e),s},Ml.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,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ml.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(),c=Ml.types[this.type];function u(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 h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=El(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Cl=Al,Ll=Il;function Il(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(Pl,this,e),this.length=this._features.length}function Pl(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))}Il.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 Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e)};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s))}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,!0)}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,!0),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n<t.length;n++){const a=t[n];if(n>=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;r<t.length;r++){const n=t[r];Bl(this.layoutVertexArray,n.x,n.y,0,0,1,1,0),e.x+=n.x,e.y+=n.y,e.vertexCount+=1,a.push(n.x),a.push(n.y)}}const l=js(a,o);for(let t=0;t<l.length;t+=3)this.indexArray.emplaceBack(s+l[t],s+l[t+2],s+l[t+1]);i.primitiveLength+=l.length/3,i.vertexLength+=n;for(let t=0;t<e.vertexCount;t++){const t=Math.floor(e.x/e.vertexCount),r=Math.floor(e.y/e.vertexCount);this.centroidVertexArray.emplaceBack(t,r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}}function jl(t,e){return t.x===e.x&&(t.x<0||t.x>Uo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql)}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]))}return i}(c,l,0,0),p=function(t,e,r,n){const i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M)}i.push(t),o.push(r)}return[i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;i<e.length;i++){const a=e[i],o=t[i];for(let t=0;t<a.length-1;t++){const e=a[t],i=a[t+1],s=o[t],l=[e,i,o[t+1],s,e];Yo(r,l)&&(n=Math.min(n,Zl(r,l)))}}return n!==1/0&&n}(p[0],p[1],f)}}function Gl(t,e){return t.x*e.x+t.y*e.y}function Zl(t,e){if(1===t.length){let r=0;const n=e[r++];let i;for(;!i||n.equals(i);)if(i=e[r++],!i)return 1/0;for(;r<e.length;r++){const a=e[r],o=t[0],s=i.sub(n),l=a.sub(n),c=o.sub(n),u=Gl(s,s),h=Gl(s,l),f=Gl(l,l),p=Gl(c,s),d=Gl(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=n.z*v+i.z*g+a.z*y;if(isFinite(x))return x}return 1/0}{let t=1/0;for(const r of e)t=Math.min(t,r.z);return t}}const Wl=ua([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:Yl,size:Xl,alignment:$l}=Wl,Jl=ua([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:Kl,size:Ql,alignment:tc}=Jl,ec=Tl.VectorTileFeature.types,rc=Math.cos(Math.PI/180*37.5),nc=Math.pow(2,14)/.5;class ic{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={}})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e<t.length-1;e++)this.totalDistance+=t[e].dist(t[e+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}const o=\"Polygon\"===ec[e.type];let s=t.length;for(;s>=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l<s-1&&t[l].equals(t[l+1]);)l++;if(s<(o?3:2))return;\"bevel\"===r&&(i=1.05);const c=this.overscaling<=16?15*Uo/(512*this.overscaling):0,u=this.segments.prepareSegment(10*s,this.layoutVertexArray,this.indexArray);let h,f,p,d,m;this.e1=this.e2=-1,o&&(h=t[s-2],m=t[l].sub(h)._unit()._perp());for(let e=l;e<s;e++){if(p=e===s-1?o?t[l+1]:void 0:t[e+1],p&&t[e].equals(p))continue;m&&(d=m),h&&(f=h),h=t[e],m=p?p.sub(h)._unit()._perp():d,d=d||m;let g=d.add(m);0===g.x&&0===g.y||g._unit();const y=d.x*m.x+d.y*m.y,v=g.x*m.x+g.y*m.y,x=0!==v?1/v:1/0,_=2*Math.sqrt(2-2*v),b=v<rc&&f&&p,w=d.x*m.y-d.y*m.x>0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(x<a?k=\"miter\":x<=2&&(k=\"fakeround\")),\"miter\"===k&&x>i&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x<i&&(k=\"miter\")),f&&this.updateDistance(f,h),\"miter\"===k)g._mult(x),this.addCurrentVertex(h,g,0,0,u);else if(\"flipbevel\"===k){if(x>100)g=m.mult(-1);else{const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1))}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u)}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e<t;e++){let r=e/t;if(.5!==r){const t=r-.5;r+=r*t*(r-1)*((1.0904+y*(y*(3.55645-1.43519*y)-3.2452))*t*t+(.848013+y*(.215638*y-1.06021)))}const n=m.sub(d)._mult(r)._add(d)._unit()._mult(w?-1:1);this.addHalfVertex(h,n.x,n.y,!1,w,0,u)}}p&&this.addCurrentVertex(h,m,-e,-r,u)}else if(\"butt\"===k)this.addCurrentVertex(h,g,0,0,u);else if(\"square\"===k){const t=f?1:-1;this.addCurrentVertex(h,g,t,t,u)}else\"round\"===k&&(f&&(this.addCurrentVertex(h,d,0,0,u),this.addCurrentVertex(h,d,1,1,u,!0)),p&&(this.addCurrentVertex(h,m,-1,-1,u,!0),this.addCurrentVertex(h,m,0,0,u)));if(b&&e<s-1){const t=h.dist(p);if(t>2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e}}}}addCurrentVertex(t,e,r,n,i,a=!1){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a))}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length)}const 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ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const 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l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){const r=[];for(let n=0;n<t.length;n++){const i=t[n],o=[];for(let t=0;t<i.length;t++){const r=i[t-1],n=i[t],s=i[t+1],l=0===t?new a(0,0):n.sub(r)._unit()._perp(),c=t===i.length-1?new a(0,0):s.sub(n)._unit()._perp(),u=l._add(c)._unit(),h=u.x*c.x+u.y*c.y;0!==h&&u._mult(1/h),o.push(u._mult(e)._add(n))}r.push(o)}return r}(n,u*s)),function(t,e,r){for(let n=0;n<e.length;n++){const i=e[n];if(t.length>=3)for(let e=0;e<i.length;e++)if(ns(t,i[e]))return!0;if(Jo(t,i,r))return!0}return!1}(l,n,c)}isTileClipped(){return!0}}function hc(t,e){return e>0?e+2*t:t}const 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mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const 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vc={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var xc=24,_c=wc,bc={read:function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},write:function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}};function wc(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}wc.Varint=0,wc.Fixed64=1,wc.Bytes=2,wc.Fixed32=5;var Tc=4294967296,kc=1/Tc,Ac=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf-8\");function Mc(t){return t.type===wc.Bytes?t.readVarint()+t.pos:t.pos+1}function Sc(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Ec(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function Cc(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function Lc(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function Ic(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function Pc(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function zc(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function Oc(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function Dc(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function Rc(t,e){for(var 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t.push(this.readSFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===wc.Varint)for(;this.buf[this.pos++]>127;);else if(e===wc.Bytes)this.pos=this.readVarint()+this.pos;else if(e===wc.Fixed32)this.pos+=4;else{if(e!==wc.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),Nc(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),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&&Ec(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),bc.write(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),bc.write(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&&Ec(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,wc.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Cc,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Lc,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,zc,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ic,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Pc,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Oc,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Dc,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Rc,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Fc,e)},writeBytesField:function(t,e){this.writeTag(t,wc.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,wc.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,wc.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Uc=r(_c);const Vc=3;function qc(t,e,r){1===t&&r.readMessage(Hc,e)}function Hc(t,e,r){if(3===t){const{id:t,bitmap:n,width:i,height:a,left:o,top:s,advance:l}=r.readMessage(Gc,{});e.push({id:t,bitmap:new Cs({width:i+2*Vc,height:a+2*Vc},n),metrics:{width:i,height:a,left:o,top:s,advance:l}})}}function Gc(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())}const Zc=Vc;function Wc(t){let e=0,r=0;for(const n of t)e+=n.w*n.h,r=Math.max(r,n.w);t.sort(((t,e)=>e.h-t.h));const n=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}];let i=0,a=0;for(const e of t)for(let t=n.length-1;t>=0;t--){const r=n[t];if(!(e.w>r.w||e.h>r.h)){if(e.x=r.x,e.y=r.y,a=Math.max(a,e.y+e.h),i=Math.max(i,e.x+e.w),e.w===r.w&&e.h===r.h){const e=n.pop();t<n.length&&(n[t]=e)}else 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10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function lu(t,e,r,n,i,a){let o=null,s=ou(e,r,i,a);for(const t of n){const n=ou(e-t.x,r,i,a)+t.badness;n<=s&&(o=t,s=n)}return{index:t,x:e,priorBreak:o,badness:s}}function cu(t){return t?cu(t.priorBreak).concat(t.index):[]}function uu(t,e,r,n,i,a){if(!t)return[];const o=[],s=function(t,e,r,n,i,a){let o=0;for(let r=0;r<t.length();r++){const s=t.getSection(r);o+=au(t.getCharCode(r),s,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,a),l=t.text.indexOf(\"​\")>=0;let c=0;for(let r=0;r<t.length();r++){const h=t.getSection(r),f=t.getCharCode(r);if(ru[f]||(c+=au(f,h,n,i,e,a)),r<t.length()-1){const e=!((u=f)<11904||!(zi[\"Bopomofo Extended\"](u)||zi.Bopomofo(u)||zi[\"CJK Compatibility Forms\"](u)||zi[\"CJK Compatibility Ideographs\"](u)||zi[\"CJK Compatibility\"](u)||zi[\"CJK Radicals Supplement\"](u)||zi[\"CJK Strokes\"](u)||zi[\"CJK Symbols and Punctuation\"](u)||zi[\"CJK Unified Ideographs Extension A\"](u)||zi[\"CJK Unified Ideographs\"](u)||zi[\"Enclosed CJK Letters and Months\"](u)||zi[\"Halfwidth and Fullwidth Forms\"](u)||zi.Hiragana(u)||zi[\"Ideographic Description Characters\"](u)||zi[\"Kangxi Radicals\"](u)||zi[\"Katakana Phonetic Extensions\"](u)||zi.Katakana(u)||zi[\"Vertical Forms\"](u)||zi[\"Yi Radicals\"](u)||zi[\"Yi Syllables\"](u)));(nu[f]||e||h.imageName||r!==t.length()-2&&iu[t.getCharCode(r+1)])&&o.push(lu(r+1,c,s,o,su(f,t.getCharCode(r+1),e&&l),!1))}}var u;return cu(lu(t.length(),c,s,o,0,!0))}function hu(t){let e=.5,r=.5;switch(t){case\"right\":case\"top-right\":case\"bottom-right\":e=1;break;case\"left\":case\"top-left\":case\"bottom-left\":e=0}switch(t){case\"bottom\":case\"bottom-right\":case\"bottom-left\":r=1;break;case\"top\":case\"top-right\":case\"top-left\":r=0}return{horizontalAlign:e,verticalAlign:r}}function fu(t,e,r,n,i){if(!n&&!i)return;const a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n;for(let n=e;n<=r;n++)t[n].x-=s,t[n].y+=i}function pu(t,e,r){const{horizontalAlign:n,verticalAlign:i}=hu(r),a=e[0],o=e[1],s=a-t.displaySize[0]*n,l=s+t.displaySize[0],c=o-t.displaySize[1]*i;return{image:t,top:c,bottom:c+t.displaySize[1],left:s,right:l}}function du(t){var e,r;let n=t.left,i=t.top,a=t.right-n,o=t.bottom-i;const s=t.image.content[2]-t.image.content[0],l=t.image.content[3]-t.image.content[1],c=null!==(e=t.image.textFitWidth)&&void 0!==e?e:\"stretchOrShrink\",u=null!==(r=t.image.textFitHeight)&&void 0!==r?r:\"stretchOrShrink\",h=s/l;if(\"proportional\"===u){if(\"stretchOnly\"===c&&a/o<h||\"proportional\"===c){const t=Math.ceil(o*h);n*=t/a,a=t}}else if(\"proportional\"===c&&\"stretchOnly\"===u&&0!==h&&a/o>h){const t=Math.ceil(a/h);i*=t/o,o=t}return{x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e]}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;i<e.length&&e[i]<=t;)i++;i=Math.max(0,i-1);let a=i;for(;a<e.length&&e[a]<t+1;)a++;a=Math.min(e.length-1,a);const o=e[i],s=e[a];return\"composite\"===r.kind?{kind:\"composite\",minZoom:o,maxZoom:s,interpolationType:n}:{kind:\"camera\",minZoom:o,maxZoom:s,minSize:r.evaluate(new Hi(o)),maxSize:r.evaluate(new Hi(s)),interpolationType:n}}}function _u(t,e,r){let n=\"never\";const i=t.get(e);return i?n=i:t.get(r)&&(n=\"always\"),n}const bu=Tl.VectorTileFeature.types,wu=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Tu(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=s?Math.min(vu,Math.round(s[0])):0,d=s?Math.min(vu,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*c,16*u,256*h,256*f)}function ku(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 Au(t){for(const e of t.sections)if(Vi(e.text))return!0;return!1}class Mu{constructor(t){this.layoutVertexArray=new to,this.indexArray=new ao,this.programConfigurations=t,this.segments=new ho,this.dynamicLayoutVertexArray=new eo,this.opacityVertexArray=new ro,this.hasVisibleVertices=!1,this.placedSymbolArray=new Ba}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length}upload(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fc.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,pc.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,wu,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Mi(\"SymbolBuffers\",Mu);class Su{constructor(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ho,this.collisionVertexArray=new io}upload(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,dc.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Mi(\"CollisionBuffers\",Su);class Eu{constructor(e){this.collisionBoxArray=e.collisionBoxArray,this.zoom=e.zoom,this.overscaling=e.overscaling,this.layers=e.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){const r=vc[t.charAt(a)];r&&(e[r.charCodeAt(0)]=!0)}}populate(e,r,n){const i=this.layers[0],a=i.layout,o=a.get(\"text-font\"),s=a.get(\"text-field\"),l=a.get(\"icon-image\"),c=(\"constant\"!==s.value.kind||s.value.value instanceof Kt&&!s.value.value.isEmpty()||s.value.value.toString().length>0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y))}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t)}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=!0),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=!0;else{const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n)}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){const 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){const 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){const n=r?e[0][e[0].length-1]:e[0][0];return`${t}:${n.x}:${n.y}`}for(let c=0;c<t.length;c++){const u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(!f){a(c);continue}const p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){const t=s(p,d,h),i=o(p,d,n[t].geometry);delete e[p],delete r[d],r[l(f,n[i].geometry,!0)]=i,n[t].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}return n.filter((t=>t.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey))}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(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}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n<e.length;n++)i[n]={x:e[n].x,y:e[n].y,tileUnitDistanceFromAnchor:r},n<e.length-1&&(r+=e[n+1].dist(e[n]));for(let r=t.segment||0;r>=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t<e.length;t++){const e=i[t];this.lineVertexArray.emplaceBack(e.x,e.y,e.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}}addSymbols(e,r,n,i,a,o,s,l,c,u,h,f){const p=e.indexArray,d=e.layoutVertexArray,m=e.segments.prepareSegment(4*r.length,d,p,this.canOverlap?o.sortKey:void 0),g=this.glyphOffsetArray.length,y=m.vertexLength,v=this.allowVerticalPlacement&&s===t.ai.vertical?Math.PI/2:0,x=o.text&&o.text.sections;for(let t=0;t<r.length;t++){const{tl:i,tr:a,bl:s,br:c,tex:u,pixelOffsetTL:h,pixelOffsetBR:g,minFontScaleX:y,minFontScaleY:_,glyphOffset:b,isSDF:w,sectionIndex:T}=r[t],k=m.vertexLength,A=b[1];Tu(d,l.x,l.y,i.x,A+i.y,u.x,u.y,n,w,h.x,h.y,y,_),Tu(d,l.x,l.y,a.x,A+a.y,u.x+u.w,u.y,n,w,g.x,h.y,y,_),Tu(d,l.x,l.y,s.x,A+s.y,u.x,u.y+u.h,n,w,h.x,g.y,y,_),Tu(d,l.x,l.y,c.x,A+c.y,u.x+u.w,u.y+u.h,n,w,g.x,g.y,y,_),ku(e.dynamicLayoutVertexArray,l,v),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),m.vertexLength+=4,m.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(b[0]),t!==r.length-1&&T===r[t+1].sectionIndex||e.programConfigurations.populatePaintArrays(d.length,o,o.index,{},f,x&&x[T])}e.placedSymbolArray.emplaceBack(l.x,l.y,g,this.glyphOffsetArray.length-g,y,c,u,l.segment,n?n[0]:0,n?n[1]:0,i[0],i[1],s,0,!1,0,h)}_addCollisionDebugVertex(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))}addCollisionDebugVertices(t,e,r,n,i,o,s){const l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;const d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4}addDebugCollisionBoxes(t,e,r,n){for(let i=t;i<e;i++){const t=this.collisionBoxArray.get(i),e=t.x1,a=t.y1,o=t.x2,s=t.y2;this.addCollisionDebugVertices(e,a,o,s,n?this.textCollisionBox:this.iconCollisionBox,t.anchorPoint,r)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Su(no,mc.members,oo),this.iconCollisionBox=new Su(no,mc.members,oo);for(let t=0;t<this.symbolInstances.length;t++){const 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)}}_deserializeCollisionBoxesForSymbol(t,e,r,n,i,a,o,s,l){const c={};for(let n=e;n<r;n++){const e=t.get(n);c.textBox={x1:e.x1,y1:e.y1,x2:e.x2,y2:e.y2,anchorPointX:e.anchorPointX,anchorPointY:e.anchorPointY},c.textFeatureIndex=e.featureIndex;break}for(let e=n;e<i;e++){const r=t.get(e);c.verticalTextBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalTextFeatureIndex=r.featureIndex;break}for(let e=a;e<o;e++){const r=t.get(e);c.iconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.iconFeatureIndex=r.featureIndex;break}for(let e=s;e<l;e++){const r=t.get(e);c.verticalIconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalIconFeatureIndex=r.featureIndex;break}return c}deserializeCollisionBoxes(t){this.collisionArrays=[];for(let e=0;e<this.symbolInstances.length;e++){const 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))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;e<n;e+=4)t.indexArray.emplaceBack(e,e+1,e+2),t.indexArray.emplaceBack(e+1,e+2,e+3)}getSortedSymbolIndexes(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;const e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[];for(let t=0;t<this.symbolInstances.length;++t){a.push(t);const o=this.symbolInstances.get(t);n.push(0|Math.round(e*o.anchorX+r*o.anchorY)),i.push(o.featureIndex)}return a.sort(((t,e)=>n[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const 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})}sortFeatures(t){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(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t)})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t}evaluate(t){if(t.formattedSection){const 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}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu)}recalculate(t,e){if(super.recalculate(t,e),\"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\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"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\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters)}}_handleOverridablePaintPropertyUpdate(t,e,r){return!(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=!1;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections)}else e instanceof We?a(e.sections):e.eachChild(t)},e=r.value;e._styleExpression&&t(e._styleExpression.expression)}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du)}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu)}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},this.implementation=t}is3D(){return\"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const 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 Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(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>]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return(180+t)/360}function Wu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r)}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);var a,o,s,l,c;return t[(this.x+this.y)%t.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,e>1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y)}}class th{constructor(t,e,r,n,i){if(t<r)throw new Error(`overscaledZ should be >= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i)}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))}wrapped(){return new th(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(t){return new th(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new Qu(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(t){return this.canonical.getTilePoint(new $u(t.x-this.wrap,t.y))}}function eh(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);const a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Mi(\"CanonicalTileID\",Ku),Mi(\"OverscaledTileID\",th,{omit:[\"posMatrix\"]});class rh{constructor(t,e,r,n=1,i=1,a=1,o=0){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&![\"mapbox\",\"terrarium\",\"custom\"].includes(r))return void T(`\"${r}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=e.height;const s=this.dim=e.height-2;switch(this.data=new Uint32Array(e.data.buffer),r){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=n,this.greenFactor=i,this.blueFactor=a,this.baseShift=o;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let t=0;t<s;t++)this.data[this._idx(-1,t)]=this.data[this._idx(0,t)],this.data[this._idx(s,t)]=this.data[this._idx(s-1,t)],this.data[this._idx(t,-1)]=this.data[this._idx(t,0)],this.data[this._idx(t,s)]=this.data[this._idx(t,s-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(s,-1)]=this.data[this._idx(s-1,0)],this.data[this._idx(-1,s)]=this.data[this._idx(0,s-1)],this.data[this._idx(s,s)]=this.data[this._idx(s-1,s-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let t=0;t<s;t++)for(let e=0;e<s;e++){const r=this.get(t,e);r>this.max&&(this.max=r),r<this.min&&(this.min=r)}}get(t,e){const r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return this.unpack(r[n],r[n+1],r[n+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(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)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let 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}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e<o;e++)for(let r=n;r<i;r++)this.data[this._idx(r,e)]=t.data[this._idx(r+s,e+l)]}}Mi(\"DEMData\",rh);class nh{constructor(t){this._stringToNumber={},this._numberToString=[];for(let e=0;e<t.length;e++){const r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}}encode(t){return this._stringToNumber[t]}decode(t){if(t>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(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}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t<e.length;t++){const r=e[t],n=[1/0,1/0,-1/0,-1/0];for(let t=0;t<r.length;t++){const e=r[t];n[0]=Math.min(n[0],e.x),n[1]=Math.min(n[1],e.y),n[2]=Math.max(n[2],e.x),n[3]=Math.max(n[3],e.y)}n[0]<Uo&&n[1]<Uo&&n[2]>=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return!0;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return!0;for(let e=0;e<t.length-1;e++)if(is(t[e],t[e+1],o))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)));for(const t of p)h.push(t);h.sort(lh);const d={};let m;for(let a=0;a<h.length;a++){const c=h[a];if(c===m)continue;m=c;const u=this.featureIndexArray.get(c);let f=null;this.loadMatchingFeature(d,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,i.availableImages,e,r,n,((e,r,n)=>(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))))}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,!0);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e<h.length;e++){const r=h[e];if(a&&a.indexOf(r)<0)continue;const i=s[r];if(!i)continue;let f={};d&&c&&(f=c.getState(i.sourceLayer||\"_geojsonTileLayer\",d));const m=y({},l[r]);m.paint=oh(m.paint,i.paint,p,f,o),m.layout=oh(m.layout,i.layout,p,f,o);const g=!u||u(p,i,f);if(!g)continue;const v=new ih(p,this.z,this.x,this.y,d);v.layer=m;let x=t[r];void 0===x&&(x=t[r]=[]),x.push({featureIndex:n,feature:v,intersectionZ:g})}}lookupSymbolFeatures(t,e,r,n,i,a,o,s){const l={};this.loadVTLayers();const c=zn(i);for(const i of t)this.loadMatchingFeature(l,r,n,i,c,a,o,s,e);return l}hasLayer(t){for(const e of this.bucketLayerIDs)for(const r of e)if(t===r)return!0;return!1}getId(t,e){let r=t.id;if(this.promoteId){const n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];r=t.properties[n],\"boolean\"==typeof r&&(r=Number(r))}return r}}function oh(t,e,r,n,i){return x(t,((t,a)=>{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return{minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s<t.length;s++){const l=t[s];let c;for(let t=0;t<l.length-1;t++){let s=l[t],u=l[t+1];s.x<e&&u.x<e||(s.x<e?s=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round():u.x<e&&(u=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round()),s.y<r&&u.y<r||(s.y<r?s=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round():u.y<r&&(u=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round()),s.x>=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))))}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n)}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return!0;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;s<r/2;){const e=t[o-1],r=t[o],a=t[o+1];if(!a)return!1;let u=e.angleTo(r)-r.angleTo(a);for(u=Math.abs((u+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:u}),c+=u;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=r.dist(a)}return!0}function fh(t){let e=0;for(let r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function ph(t,e,r){return t?.6*e*r:0}function dh(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function mh(t,e,r,n,i,a){const o=ph(r,i,a),s=dh(r,n)*a;let l=0;const c=fh(t)/2;for(let r=0;r<t.length-1;r++){const n=t[r],i=t[r+1],a=n.dist(i);if(l+a>c){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),yh(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}function yh(t,e,r,n,i,a,o,s,l){const c=a/2,u=fh(t);let h=0,f=e-r,p=[];for(let e=0;e<t.length-1;e++){const o=t[e],s=t[e+1],d=o.dist(s),m=s.angleTo(o);for(;f+r<h+d;){f+=r;const g=(f-h)/d,y=Pe.number(o.x,s.x,g),v=Pe.number(o.y,s.y,g);if(y>=0&&y<l&&v>=0&&v<l&&f-c>=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r)}}h+=d}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,!0,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r)}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return{tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r<t.length-1;r++){const n=t[r],a=t[r+1];for(let t=0;t<e.length-1;t++){const r=e[t],o=e[t+1];i.push(L(n,r,a,o))}}}else i.push(L({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return i}function _h(t,e,r){let n=0;for(const i of t)n+=Math.max(e,Math.min(r,i[1]))-Math.max(e,Math.min(r,i[0]));return n}function bh(t,e,r){const n=[{fixed:-vh,stretch:0}];for(const[e,r]of t){const t=n[n.length-1];n.push({fixed:e-t.stretch,stretch:t.stretch}),n.push({fixed:e-t.stretch,stretch:t.stretch+(r-e)})}return n.push({fixed:e+vh,stretch:r}),n}function wh(t,e,r,n){return t/e*r+n}function Th(t,e,r,n){return t-e*r/n}class kh{constructor(t,e,r,n,i,o,s,l,c,u){var h;if(this.boxStartIndex=t.length,c){let t=o.top,e=o.bottom;const r=o.collisionPadding;r&&(t-=r[1],e+=r[3]);let n=e-t;n>0&&(n=Math.max(10,n),this.circleDiameter=n)}else{const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y)}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i)}this.boxEndIndex=t.length}}class Ah{constructor(t=[],e=((t,e)=>t<e?-1:t>e?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t)}push(t){this.data.push(t),this._up(this.length++)}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return--this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t<n;){let n=1+(t<<1);const a=n+1;if(a<this.length&&r(e[a],e[n])<0&&(n=a),r(e[n],i)>=0)break;e[t]=e[n],t=n}e[t]=i}}function Mh(t,e=1,r=!1){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;t<l.length;t++){const e=l[t];(!t||e.x<n)&&(n=e.x),(!t||e.y<i)&&(i=e.y),(!t||e.x>o)&&(o=e.x),(!t||e.y>s)&&(s=e.y)}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;e<o;e+=h)for(let 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u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(M(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p}3===n&&e.writeVarint(M(7,1))}}function C(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}d.exports=w,d.exports.fromVectorTileJs=w,d.exports.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new b(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},d.exports.GeoJSONWrapper=b;var L=d.exports,I=t.bx(L);const P={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:t=>t},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e<t.length;e++){const r=t[e];if(!r.geometry)continue;const[n,i]=r.geometry.coordinates,o=z(U(n)),s=z(V(i));a.push(o,s,1/0,e,-1,1),this.options.reduce&&a.push(0)}let o=this.trees[n+1]=this._createTree(a);e&&console.timeEnd(i);for(let t=n;t>=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r)}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]])}return c}getChildren(t){const 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);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]])}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i<n?i++:t.push(e),t.length===r)break}return i}_createTree(e){const r=new t.aw(e.length/this.stride|0,this.options.nodeSize,Float32Array);for(let t=0;t<e.length;t+=this.stride)r.add(e[t],e[t+1]);return r.finish(),r.data=e,r}_addTileFeatures(t,e,r,n,i,a){for(const o of 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a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:t.length,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(const e of t)pt(o,e,a,i);return o}function pt(t,e,r,n){const i=e.geometry,a=e.type,o=[];if(t.minX=Math.min(t.minX,e.minX),t.minY=Math.min(t.minY,e.minY),t.maxX=Math.max(t.maxX,e.maxX),t.maxY=Math.max(t.maxY,e.maxY),\"Point\"===a||\"MultiPoint\"===a)for(let e=0;e<i.length;e+=3)o.push(i[e],i[e+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)dt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(let e=0;e<i.length;e++)dt(o,i[e],t,r,\"Polygon\"===a,0===e);else if(\"MultiPolygon\"===a)for(let e=0;e<i.length;e++){const n=i[e];for(let e=0;e<n.length;e++)dt(o,n[e],t,r,!0,0===e)}if(o.length){let r=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){r={};for(const t in e.tags)r[t]=e.tags[t];r.mapbox_clip_start=i.start/i.size,r.mapbox_clip_end=i.end/i.size}const s={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:r};null!==e.id&&(s.id=e.id),t.features.push(s)}}function dt(t,e,r,n,i,a){const o=n*n;if(n>0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;t<e.length;t+=3)(0===n||e[t+2]>o)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e<n;i=e,e+=2)r+=(t[e]-t[i])*(t[e+1]+t[i+1]);if(r>0===e)for(let e=0,r=t.length;e<r/2;e+=2){const n=t[e],i=t[e+1];t[e]=t[r-2-e],t[e+1]=t[r-1-e],t[r-2-e]=n,t[r-1-e]=i}}(s,a),t.push(s)}const mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class gt{constructor(t,e){const r=(e=this.options=function(t,e){for(const r in e)t[r]=e[r];return t}(Object.create(mt),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n<t.features.length;n++)Y(r,t.features[n],e,n);else\"Feature\"===t.type?Y(r,t,e):Y(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){const r=e.buffer/e.extent;let n=t;const i=tt(t,1,-1-r,r,0,-1,2,e),a=tt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=tt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=lt(i,1).concat(n)),a&&(n=n.concat(lt(a,-1)))),n}(n,e),n.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)))}splitTile(t,e,r,n,i,a,o){const s=[t,e,r,n],l=this.options,c=l.debug;for(;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();const u=1<<e,h=yt(e,r,n);let f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=ft(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else{if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1)}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<<t,s=yt(t,e=e+o&o-1,r);if(this.tiles[s])return ut(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function vt(t,e){return e?t.properties[e]:t.id}function xt(t,e){if(null==t)return!0;if(\"Feature\"===t.type)return null!=vt(t,e);if(\"FeatureCollection\"===t.type){const r=new Set;for(const n of t.features){const t=vt(n,e);if(null==t)return!1;if(r.has(t))return!1;r.add(t)}return!0}return!1}function _t(t,e){const r=new Map;if(null==t);else if(\"Feature\"===t.type)r.set(vt(t,e),t);else for(const n of t.features)r.set(vt(n,e),n);return r}class bt extends a{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(e,r){return t._(this,void 0,void 0,(function*(){const t=e.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");const r=this._geoJSONIndex.getTile(t.z,t.x,t.y);if(!r)return null;const n=new p(r.features);let i=I(n);return 0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),{vectorTile:n,rawData:i.buffer}}))}loadData(e){return t._(this,void 0,void 0,(function*(){var r;null===(r=this._pendingRequest)||void 0===r||r.abort();const n=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.bu(e.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(e,this._pendingRequest),this._geoJSONIndex=e.cluster?new B(function({superclusterOptions:e,clusterProperties:r}){if(!r||!e)return e;const n={},i={},a={accumulated:null,zoom:0},o={properties:null},s=Object.keys(r);for(const e of s){const[a,o]=r[e],s=t.bB(o),l=t.bB(\"string\"==typeof a?[a,[\"accumulated\"],[\"get\",e]]:a);n[e]=s.value,i[e]=l.value}return e.map=t=>{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o)},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)))}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return{abandoned:!0};throw e}var i,a}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,!0),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i}}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`)}if(!e.dataDiff)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${e.source}`);return function(t,e,r){var n,i,a,o;if(e.removeAll&&t.clear(),e.remove)for(const r of e.remove)t.delete(r);if(e.add)for(const n of e.add){const e=vt(n,r);null!=e&&t.set(e,n)}if(e.update)for(const r of e.update){let e=t.get(r.id);if(null==e)continue;const s=r.newGeometry||r.removeAllProperties,l=!r.removeAllProperties&&((null===(n=r.removeProperties)||void 0===n?void 0:n.length)>0||(null===(i=r.addOrUpdateProperties)||void 0===i?void 0:i.length)>0);if((s||l)&&(e=Object.assign({},e),t.set(r.id,e),l&&(e.properties=Object.assign({},e.properties))),r.newGeometry&&(e.geometry=r.newGeometry),r.removeAllProperties)e.properties={};else if((null===(a=r.removeProperties)||void 0===a?void 0:a.length)>0)for(const t of r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new Error(`Worker source with name \"${t}\" already registered.`);this.externalWorkerSourceTypes[t]=e},this.self.addProtocol=t.bh,this.self.removeProtocol=t.bi,this.self.registerRTLTextPlugin=e=>{if(t.bC.isParsed())throw new Error(\"RTL text plugin already registered.\");t.bC.setMethods(e)},this.actor.registerMessageHandler(\"LDT\",((t,e)=>this._getDEMWorkerSource(t,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RDT\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(e,r.source).removeTile(r)})))),this.actor.registerMessageHandler(\"GCEZ\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterExpansionZoom(r)})))),this.actor.registerMessageHandler(\"GCC\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterChildren(r)})))),this.actor.registerMessageHandler(\"GCL\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r)})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e]})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r)})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r)}))))}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case\"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case\"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t))}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c())}))}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:!0});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e<t.length;e++)if(t[e]in o.docStyle)return t[e];return t[0]}static create(t,e,r){const n=window.document.createElement(t);return void 0!==e&&(n.className=e),r&&r.appendChild(n),n}static createNS(t,e){return window.document.createElementNS(t,e)}static disableDrag(){o.docStyle&&o.selectProp&&(o.userSelect=o.docStyle[o.selectProp],o.docStyle[o.selectProp]=\"none\")}static enableDrag(){o.docStyle&&o.selectProp&&(o.docStyle[o.selectProp]=o.userSelect)}static setTransform(t,e){t.style[o.transformProp]=e}static addEventListener(t,e,r,n={}){\"passive\"in n?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)}static removeEventListener(t,e,r,n={}){\"passive\"in n?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)}static suppressClickInternal(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener(\"click\",o.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",o.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",o.suppressClickInternal,!0)}),0)}static getScale(t){const e=t.getBoundingClientRect();return{x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i<e.length;i++)r.push(o.getPoint(t,n,e[i]));return r}static mouseButton(t){return t.button}static remove(t){t.parentNode&&t.parentNode.removeChild(t)}}o.docStyle=\"undefined\"!=typeof window&&window.document&&window.document.documentElement.style,o.selectProp=o.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),o.transformProp=o.testProp([\"transform\",\"WebkitTransform\"]);const s={supported:!1,testSupport:function(t){!u&&c&&(h?f(t):l=t)}};let l,c,u=!1,h=!1;function f(t){const e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,c),t.isContextLost())return;s.supported=!0}catch(t){}t.deleteTexture(e),u=!0}var p;\"undefined\"!=typeof document&&(c=document.createElement(\"img\"),c.onload=()=>{l&&f(l),l=null,h=!0},c.onerror=()=>{u=!0,l=null},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={}},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l()};t.getImage=(t,n,i=!0)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t)},onSuccess:t=>{a(t)}};r.push(c),l()}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=!1===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),!0));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires})}catch(e){delete t.abortController,a(e)}finally{n--,l()}var f})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return!0;return!1})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e<t&&r.length>0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t)}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c())})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a})},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},a.src=o}))}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}))}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i)}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g}}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0)}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(!1),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||!1!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else{const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D)}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null}}function T(t){const{userImage:e}=t;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[]}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e)}_validate(t,r){let n=!0;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=!1),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=!1),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=!1),n}_validateStretch(t,e){if(!t)return!0;let r=0;for(const n of t){if(n[0]<r||n[1]<n[0]||e<n[1])return!1;r=n[1]}return!0}_validateContent(t,e){if(!t)return!0;if(4!==t.length)return!1;const r=e.spriteData,n=r&&r.width||e.data.width,i=r&&r.height||e.data.height;return!(t[0]<0||n<t[0]||t[1]<0||i<t[1]||t[2]<0||n<t[2]||t[3]<0||i<t[3]||t[2]<t[0]||t[3]<t[1])}updateImage(t,e,r=!0){const n=this.getImage(t);if(r&&(n.data.width!==e.data.width||n.data.height!==e.data.height))throw new Error(`size mismatch between old image (${n.data.width}x${n.data.height}) and new image (${e.data.width}x${e.data.height}).`);e.version=n.version+1,this.images[t]=e,this.updatedImages[t]=!0}removeImage(t){const e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(t){return new Promise(((e,r)=>{let n=!0;if(!this.isLoaded())for(const e of t)this.images[e]||(n=!1);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e})}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return{width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i}}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=!0;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t)}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c<e+n;c++)S(t,r*a+c,a,i,o,s,l);for(let c=r;c<r+i;c++)S(t,c*a+e,1,n,o,s,l)}function S(t,e,r,n,i,a,o){a[0]=0,o[0]=-A,o[1]=A,i[0]=t[e];for(let s=1,l=0,c=0;s<n;s++){i[s]=t[e+s*r];const n=s*s;do{const t=a[l];c=(i[s]-i[t]+n-t*t)/(s-t)/2}while(c<=o[l]&&--l>-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s<n;s++){for(;o[l+1]<s;)l++;const n=a[l],c=s-n;t[e+s*r]=i[n]+c*c}}class E{constructor(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}}setURL(t){this.url=t}getGlyphs(t){return e._(this,void 0,void 0,(function*(){const e=[];for(const r in t)for(const n of t[r])e.push(this._getAndCacheGlyphsPromise(r,n));const r=yield Promise.all(e),n={};for(const{stack:t,id:e,glyph:i}of r)n[t]||(n[t]={}),n[t][e]=i&&{id:i.id,bitmap:i.bitmap.clone(),metrics:i.metrics};return n}))}_getAndCacheGlyphsPromise(t,r){return e._(this,void 0,void 0,(function*(){let e=this.entries[t];e||(e=this.entries[t]={glyphs:{},requests:{},ranges:{}});let n=e.glyphs[r];if(void 0!==n)return{stack:t,id:r,glyph:n};if(n=this._tinySDF(e,t,r),n)return e.glyphs[r]=n,{stack:t,id:r,glyph:n};const i=Math.floor(r/256);if(256*i>65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return{stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=!0,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return!!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e})}const o=a.draw(String.fromCharCode(n));return{id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:!0}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:!0});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s)}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t<l;t++)for(let e=0;e<s;e++){const r=v.data[4*(t*s+e)+3]/255;if(0===r)continue;const n=(t+m)*c+e+m;if(1===r)y[n]=0,g[n]=A;else{const t=.5-r;y[n]=t>0?t*t:0,g[n]=t<0?t*t:0}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t<h;t++){const e=Math.sqrt(y[t])-Math.sqrt(g[t]);f[t]=Math.round(255-255*(e/this.radius+this.cutoff))}return p}};class C{constructor(){this.specification=e.v.light.position}possiblyEvaluate(t,r){return e.y(t.expression.evaluate(r))}interpolate(t,r,n){return{x:e.z.number(t.x,r.x,n),y:e.z.number(t.y,r.y,n),z:e.z.number(t.z,r.z,n)}}}const L=\"-transition\";let I;class P extends e.E{constructor(t){super(),I=I||new e.q({anchor:new e.D(e.v.light.anchor),position:new C,color:new e.D(e.v.light.color),intensity:new e.D(e.v.light.intensity)}),this._transitionable=new e.T(I),this.setLight(t),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(t,r={}){if(!this._validate(e.r,t,r))for(const e in t){const r=t[e];e.endsWith(L)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n){return(!n||!1!==n.validate)&&e.t(this,t.call(e.x,{value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v}))}}const z=new e.q({\"sky-color\":new e.D(e.v.sky[\"sky-color\"]),\"horizon-color\":new e.D(e.v.sky[\"horizon-color\"]),\"fog-color\":new e.D(e.v.sky[\"fog-color\"]),\"fog-ground-blend\":new e.D(e.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new e.D(e.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new e.D(e.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new e.D(e.v.sky[\"atmosphere-blend\"])}),O=\"-transition\";class D extends e.E{constructor(t){super(),this._transitionable=new e.T(z),this.setSky(t),this._transitioning=this._transitionable.untransitioned()}setSky(t,r={}){if(!this._validate(e.B,t,r))for(const e in t){const r=t[e];e.endsWith(O)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}getSky(){return this._transitionable.serialize()}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n={}){return!1!==(null==n?void 0:n.validate)&&e.t(this,t.call(e.x,e.e({value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v})))}calculateFogBlendOpacity(t){return t<60?0:t<70?(t-60)/10:1}}class R{constructor(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(t,e){const r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]}getDashRanges(t,e,r){const n=[];let 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]});let s=t[0];for(let e=1;e<t.length;e++){o=!o;const l=t[e];i=s*r,s+=l,a=s*r,n.push({left:i,right:a,isDash:o,zeroLength:0===l})}return n}addRoundDash(t,e,r){const n=e/2;for(let e=-r;e<=r;e++){const i=this.nextRow+r+e,a=this.width*i;let o=0,s=t[o];for(let i=0;i<this.width;i++){i/s.right>1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t)}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128))}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const 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))}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e<this.width;e++){e/a.right>1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128))}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e<t.length;e++)a+=t[e];if(0!==a){const e=this.width/a,i=this.getDashRanges(t,this.width,e);r?this.addRoundDash(i,e,n):this.addRegularDash(i)}const o={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,o}bind(t){const 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))}}const F=\"maplibre_preloaded_worker_pool\";class B{constructor(){this.active={}}acquire(t){if(!this.workers)for(this.workers=[];this.workers.length<B.workerCount;)this.workers.push(new Worker(e.a.WORKER_URL));return this.active[t]=!0,this.workers.slice()}release(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((t=>{t.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t<n.length;t++){const i=n[t],a=new e.F(i,r);a.name=`Worker ${t}`,this.actors.push(a)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(t,e){const r=[];for(const n of this.actors)r.push(n.sendAsync({type:t,data:e}));return Promise.all(r)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(t=!0){this.actors.forEach((t=>{t.remove()})),this.actors=[],t&&this.workerPool.release(this.id)}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e)}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return!0}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=!0,o.push(t))}}return e}(c);for(const e in u)u[e].forEach((e=>{const r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return u}function W(t,e){const r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])))}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else{if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let 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}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24}validateBounds(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]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x<a&&t.y>=i&&t.y<o}}class J extends e.E{constructor(t,r,n,i){if(super(),this.id=t,this.dispatcher=n,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.e({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}onAdd(t){this.map=t,this.load()}setSourceProperty(t){this._tileJSONRequest&&this._tileJSONRequest.abort(),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r}}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e)}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null)}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject)}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]))}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}serialize(){return e.e({},this._options)}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\"}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController)}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture)}))}hasTransition(){return!1}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\"}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l}unloadTile(t){return e._(this,void 0,void 0,(function*(){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&&(yield t.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:t.uid,source:this.id}}))}))}}class tt extends e.E{constructor(t,r,n,i){super(),this.id=t,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=n.getActor(),this.setEventedParent(i),this._data=r.data,this._options=e.e({},r),this._collectResourceTiming=r.collectResourceTiming,void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;const a=e.X/this.tileSize;this.workerOptions=e.e({source:this.id,cluster:r.cluster||!1,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*a,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*a,extent:e.X,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||!1,generateId:r.generateId||!1},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?r.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,r.clusterMinPoints||2),extent:e.X,radius:(r.clusterRadius||50)*a,log:!1,generateId:r.generateId||!1},clusterProperties:r.clusterProperties,filter:r.filter},r.workerOptions),\"string\"==typeof this.promoteId&&(this.workerOptions.promoteId=this.promoteId)}load(){return e._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(t){this.map=t,this.load()}setData(t){return this._data=t,this._updateWorkerData(),this}updateData(t){return this._updateWorkerData(t),this}getData(){return e._(this,void 0,void 0,(function*(){const t=e.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:t})}))}setClusterOptions(t){return this.workerOptions.cluster=t.cluster,t&&(void 0!==t.clusterRadius&&(this.workerOptions.superclusterOptions.radius=t.clusterRadius),void 0!==t.clusterMaxZoom&&(this.workerOptions.superclusterOptions.maxZoom=t.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(t){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterChildren(t){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterLeaves(t,e,r){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:t,limit:e,offset:r}})}_updateWorkerData(t){return e._(this,void 0,void 0,(function*(){const r=e.e({type:this.type},this.workerOptions);t?r.dataDiff=t:\"string\"==typeof this._data?(r.request=this.map._requestManager.transformRequest(a.resolveURL(this._data),\"Source\"),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new e.k(\"dataloading\",{dataType:\"source\"}));try{const t=yield this.actor.sendAsync({type:\"LD\",data:r});if(this._pendingLoads--,this._removed||t.abandoned)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));let n=null;t.resourceTiming&&t.resourceTiming[this.id]&&(n=t.resourceTiming[this.id].slice(0));const i={dataType:\"source\"};this._collectResourceTiming&&n&&n.length>0&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})))}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t))}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e)}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=!0}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(n),this.options=e}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading())}catch(t){this._request=null,this._loaded=!0,this.fire(new e.j(t))}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(t){this.map=t,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=!0,this.type=\"video\",this.options=e}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(t){this.fire(new e.j(t))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(t){if(this.video){const r=this.video.seekable;t<r.start(0)||t>r.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(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())}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:!0});let i=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=!0)}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of[this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return!0;return!1}}const at={},ot=t=>{switch(t){case\"geojson\":return tt;case\"image\":return rt;case\"raster\":return K;case\"raster-dem\":return Q;case\"vector\":return J;case\"video\":return nt;case\"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H()}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st))}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport()}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(t){const e=t+this.timeAdded;e<this.fadeEndTime||(this.fadeEndTime=e)}wasRequested(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state}clearTextures(t){this.demTexture&&t.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(t,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){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){const r={};if(!e)return r;for(const n of t){const t=n.layerIds.map((t=>e.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n}}return r}(t.buckets,r.style),this.hasSymbolBuckets=!1;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=!0,!n)break;r.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=!0,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new e.a5}unloadVectorData(){for(const 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\"}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t)}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null)}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;r<o.length;r++){const i=o.feature(r);if(s.needGeometry){const t=e.a8(i,!0);if(!s.filter(new e.a9(this.tileID.overscaledZ),t,this.tileID.canonical))continue}else if(!s.filter(new e.a9(this.tileID.overscaledZ),i))continue;const f=n.getId(i,a),p=new e.aa(i,l,c,u,f);p.tile=h,t.push(p)}}hasData(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(t){const r=this.expirationTime;if(t.cacheControl){const r=e.ab(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){const t=Date.now();let e=!1;if(this.expirationTime>t)e=!1;else if(r)if(this.expirationTime<r)e=!0;else{const n=this.expirationTime-r;n?this.expirationTime=t+Math.max(n,3e4):e=!0}else e=!0;e?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){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)}setFeatureState(t,e){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||0===Object.keys(t).length)return;const r=this.latestFeatureIndex.loadVTLayers();for(const n in this.buckets){if(!e.style.hasLayer(n))continue;const i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(!o||!s||0===Object.keys(s).length)continue;i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});const l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}holdingForFade(){return void 0!==this.symbolFadeHoldUntil}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<a.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(t){this.symbolFadeHoldUntil=a.now()+t}setDependencies(t,e){const r={};for(const t of e)r[t]=!0;this.dependencies[t]=r}hasDependency(t,e){for(const r of t){const t=this.dependencies[r];if(t)for(const r of e)if(t[r])return!0}return!1}}class ft{constructor(t,e){this.max=t,this.onRemove=e,this.reset()}reset(){for(const t in this.data)for(const e of this.data[t])e.timeout&&clearTimeout(e.timeout),this.onRemove(e.value);return this.data={},this.order=[],this}add(t,e,r){const n=t.wrapped().key;void 0===this.data[n]&&(this.data[n]=[]);const i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((()=>{this.remove(t,i)}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t)}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null)}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null)}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e]}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const 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}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return{};for(const t in e)delete o[t]}return o}initializeTileState(t,e){t.setFeatureState(this.state,e)}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e]}n[t]=n[t]||{},e.e(n[t],r)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r)}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=!1,this._updated=!1}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t)}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n)}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain)}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t)}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r))}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=!0),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}))}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n<e.length;n++){const i=e[n];if(t.neighboringTiles&&t.neighboringTiles[i]){const e=this.getTileByID(i);r(t,e),r(e,t)}}function r(t,e){t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0;let r=e.tileID.canonical.x-t.tileID.canonical.x;const 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)))}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t)}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a)}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e)}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=!0,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n])}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t]}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=!0)}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n}n=n.concat(Object.values(t))}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=!0,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||e<this._source.maxzoom&&(s[r.key]=r)}this._retainLoadedChildren(s,e,o,n);for(const o of t){let t=this._tiles[o.key];if(t.hasData())continue;if(e+1>this._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else{const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=!0,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t}for(const t of e)this._loadedParentTiles[t]=r}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t]}),r))}_removeTile(t){const 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))))}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(const t in this._tiles)this._removeTile(t);this._cache.reset()}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t<c.length;t++){const n=this._tiles[c[t]];if(n.holdingForFade())continue;const o=n.tileID,d=Math.pow(2,a.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*e.X/n.tileSize/d,g=[o.getTilePoint(new e.Z(u,h)),o.getTilePoint(new e.Z(f,p))];if(g[0].x-m<e.X&&g[0].y-m<e.X&&g[1].x+m>=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d})}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return!0;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return!0}return!1}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r)}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)))}}function mt(t,e){const 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 gt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e)}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t<this.points.length;t++)this._distances[t]=this._distances[t-1]+this.points[t].dist(this.points[t-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}lerp(t){if(1===this.points.length)return this.points[0];t=e.ad(t,0,1);let r=1,n=this._distances[r];const i=t*this.paddedLength+this.padding;for(;n<i&&r<this._distances.length;)n=this._distances[++r];const 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))}}function vt(t,e){let r=!0;return\"always\"===t||\"never\"!==t&&\"never\"!==e||(r=!1),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;t<this.xCellCount*this.yCellCount;t++)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}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(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)}insertCircle(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)}_insertBoxCell(t,e,r,n,i,a){this.boxCells[i].push(a)}_insertCircleCell(t,e,r,n,i,a){this.circleCells[i].push(a)}_query(t,e,r,n,i,a,o){if(r<0||t>this.width||n<0||e>this.height)return[];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return[{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t<this.boxKeys.length;t++)s.push({key:this.boxKeys[t],x1:this.bboxes[4*t],y1:this.bboxes[4*t+1],x2:this.bboxes[4*t+2],y2:this.bboxes[4*t+3]});for(let t=0;t<this.circleKeys.length;t++){const e=this.circles[3*t],r=this.circles[3*t+1],n=this.circles[3*t+2];s.push({key:this.circleKeys[t],x1:e-n,y1:r-n,x2:e+n,y2:r+n})}}else{const l={hitTest:i,overlapMode:a,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,s,l,o)}return s}query(t,e,r,n){return this._query(t,e,r,n,!1,null)}hitTest(t,e,r,n,i,a){return this._query(t,e,r,n,!0,i,a).length>0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!1;const c=[],u={hitTest:!0,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=!0;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return!0}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=!0;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return!0}}}return!1}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=!0;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=!0;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];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]}(i,i,r));const a=i[3];return{point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:!1}}function Tt(t,e){return.5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=!1;for(let i=0;i<b.length;i++){const k=b.get(i);if(k.hidden||k.writingMode===e.ai.vertical&&!T){Rt(k.numGlyphs,x);continue}T=!1;const A=wt(new e.P(k.anchorX,k.anchorY),r,m);if(!kt(A.point,v)){Rt(k.numGlyphs,x);continue}const M=A.signedDistanceFromCamera,S=Tt(n.transform.cameraToCenterDistance,M),E=e.aj(g,y,k),C=s?E/S:E*S,L={getElevation:m,labelPlaneMatrix:a,lineVertexArray:_,pitchWithMap:s,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:u,tileAnchorPoint:new e.P(k.anchorX,k.anchorY),unwrappedTileID:h,width:f,height:p,translation:d},I=Et(L,k,C,!1,l,r,o,t.glyphOffsetArray,x,w,c);T=I.useVertical,(I.notEnoughRoom||T||I.needsFlipping&&Et(L,k,C,!0,l,r,o,t.glyphOffsetArray,x,w,c).notEnoughRoom)&&Rt(k.numGlyphs,x)}i?t.text.dynamicLayoutVertexBuffer.updateData(x):t.icon.dynamicLayoutVertexBuffer.updateData(x)}function Mt(t,e,r,n,i,a,o,s){const l=a.glyphStartIndex+a.numGlyphs,c=a.lineStartIndex,u=a.lineStartIndex+a.lineLength,h=e.getoffsetX(a.glyphStartIndex),f=e.getoffsetX(l-1),p=Ot(t*h,r,n,i,a.segment,c,u,s,o);if(!p)return null;const d=Ot(t*f,r,n,i,a.segment,c,u,s,o);return d?s.projectionCache.anyProjectionOccluded?null:{first:p,last:d}:null}function St(t,r,n,i){return t===e.ai.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return{notEnoughRoom:!0};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a<e-1;a++)m.push(Ot(f*l.getoffsetX(a),p,d,i,r.segment,n,o,t,h));m.push(c.last)}else{if(a&&!i){const n=wt(t.tileAnchorPoint,o,t.getElevation).point,i=r.lineStartIndex+r.segment+1,a=new e.P(t.lineVertexArray.getx(i),t.lineVertexArray.gety(i)),s=wt(a,o,t.getElevation),l=s.signedDistanceFromCamera>0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};m=[n]}for(const t of m)e.ak(c,t.point,t.angle);return{}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return!n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=!1),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction<i||t+c.direction>=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p<a||p>=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else{let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m)}x=w.mag()}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r<t;r++){const t=e.length;e.resize(t+4),e.float32.set(Dt,3*t)}}const Ft=100;class Bt{constructor(t,e,r=new xt(t.width+200,t.height+200,25),n=new xt(t.width+200,t.height+200,25)){this.transform=t,this.mapProjection=e,this.grid=r,this.ignoredGrid=n,this.pitchFactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+Ft,this.screenBottomBoundary=t.height+Ft,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(t,e,r,n,i,a,o,s,l,c,u){const h=t.anchorPointX+s[0],f=t.anchorPointY+s[1],p=this.projectAndGetPerspectiveRatio(n,h,f,i,c),d=this._projectCollisionBox(t,r,n,i,a,o,s,p,c,u),[m,g,y,v]=d.box;return this.mapProjection.useSpecialProjectionForSymbols&&(a?d.allPointsOccluded:this.mapProjection.isOccluded(h,f,i))||p.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(m,g,y,v)||\"always\"!==e&&this.grid.hitTest(m,g,y,v,e,l)?{box:[m,g,y,v],placeable:!1,offscreen:!1}:{box:[m,g,y,v],placeable:!0,offscreen:this.isOffscreen(m,g,y,v)}}placeCollisionCircles(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=[],v=new e.P(r.anchorX,r.anchorY),x=this.getPerspectiveRatio(o,v.x,v.y,s,g),_=(h?a/x:a*x)/e.aq,b=r.lineOffsetX*_,w=r.lineOffsetY*_,T={getElevation:g,labelPlaneMatrix:l,lineVertexArray:n,pitchWithMap:h,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:v,unwrappedTileID:s,width:this.transform.width,height:this.transform.height,translation:m},k=Mt(_,i,b,w,!1,r,!1,T);let A=!1,M=!1,S=!0;if(k){const r=.5*p*x+d,n=new e.P(-100,-100),i=new e.P(this.screenRightBoundary,this.screenBottomBoundary),a=new yt,o=k.first,s=k.last;let l=[];for(let t=o.path.length-1;t>=1;t--)l.push(o.path[t]);for(let t=1;t<s.path.length;t++)l.push(s.path[t]);const h=2.5*r;if(c){const t=this.projectPathToScreenSpace(l,T,c);l=t.some((t=>t.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point))}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e<l.length;e++)t.x=Math.min(t.x,l[e].x),t.y=Math.min(t.y,l[e].y),r.x=Math.max(r.x,l[e].x),r.y=Math.max(r.y,l[e].y);m=t.x>=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.x<n.x||t.x>i.x||r.y<n.y||t.y>i.y?[]:e.am([l],n.x,n.y,i.x,i.y)}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;e<n;e++){const i=e/Math.max(n-1,1),o=a.lerp(i),s=o.x+Ft,l=o.y+Ft;y.push(s,l,r,0);const c=s-r,h=l-r,p=s+r,d=l+r;if(S=S&&this.isOffscreen(c,h,p,d),M=M||this.isInsideGrid(c,h,p,d),\"always\"!==t&&this.grid.hitTestCircle(s,l,r,t,f)&&(A=!0,!u))return{circles:[],offscreen:!1,collisionDetected:A}}}}return{circles:!u&&A||!M||x<this.perspectiveRatioCutoff?[]:y,offscreen:S,collisionDetected:A}}projectPathToScreenSpace(t,e,r){return t.map((t=>wt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t)}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=!0,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex))}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3])}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e<t.length;e+=4)o.insertCircle(s,t[e],t[e+1],t[e+2])}projectAndGetPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return{point:new e.P((o.point.x+1)/2*this.transform.width+Ft,(1-o.point.y)/2*this.transform.height+Ft),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5,isOccluded:o.isOccluded,signedDistanceFromCamera:o.signedDistanceFromCamera}}getPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5}isOffscreen(t,e,r,n){return r<Ft||t>=this.screenRightBoundary||n<Ft||e>this.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary}getViewportMatrix(){const t=e.ao([]);return e.J(t,t,[-100,-100,0]),t}_projectCollisionBox(t,r,n,i,a,o,s,l,c,u){const h=r*l.perspectiveRatio;let f=new e.P(1,0),p=new e.P(0,1);const d=new e.P(t.anchorPointX+s[0],t.anchorPointY+s[1]);if(o&&!a){const t=this.projectAndGetPerspectiveRatio(n,d.x+1,d.y,i,c).point.sub(l.point).unit(),r=Math.atan(t.y/t.x)+(t.x<0?Math.PI:0),a=Math.sin(r),o=Math.cos(r);f=new e.P(o,a),p=new e.P(-a,o)}else if(!o&&a){const t=-this.transform.angle,r=Math.sin(t),n=Math.cos(t);f=new e.P(n,r),p=new e.P(-r,n)}let m=l.point,g=h;if(a){m=d;const t=this.transform.zoom-Math.floor(this.transform.zoom);if(g=Math.pow(2,-t),g*=this.mapProjection.getPitchedTextCorrection(this.transform,d,i),!u){const t=l.signedDistanceFromCamera/this.transform.cameraToCenterDistance;g*=e.ad(.5+.5*t,0,4)}}u&&(m=m.add(f.mult(u.x*g)).add(p.mult(u.y*g)));const y=t.x1*g,v=t.x2*g,x=(y+v)/2,_=t.y1*g,b=t.y2*g,w=(_+b)/2,T=[{offsetX:y,offsetY:_},{offsetX:x,offsetY:_},{offsetX:v,offsetY:_},{offsetX:v,offsetY:w},{offsetX:v,offsetY:b},{offsetX:x,offsetY:b},{offsetX:y,offsetY:b},{offsetX:y,offsetY:w}];let k=[];for(const{offsetX:t,offsetY:r}of T)k.push(new e.P(m.x+f.x*t+p.x*r,m.y+f.y*t+p.y*r));let A=!1;if(a){const t=k.map((t=>this.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point))}else A=!0;return{box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(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}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[]}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}}get(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e}}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t)}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b})}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b})}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(!1,!1,!1));let I=!1,P=!1,z=!0,O=null,D={box:null,placeable:!1,offscreen:null},R={box:null,placeable:!1,offscreen:null},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t))}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r()},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable)}else{let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;e<M;e++){for(let e=u;e<h;e++){const n=i.textAnchorOffsets.get(e);if(p&&n.textAnchor!==p)continue;const a=this.attemptAnchorPlacement(n,r,m,y,v,T,k,f,l,c,g,S,t,i,d,o,s,_,L);if(a&&(w=a.placedGlyphBoxes,w&&w.placeable))return I=!0,O=a.shift,w}p?p=null:S=x}return n&&!w&&(w={box:this.collisionIndex.placeCollisionBox(q,\"always\",f,l,c,k,T,o,g.predicate,L,new e.P(0,0)).box,offscreen:!1,placeable:!1}),w};a((()=>m(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:!0,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y))}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=!0};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r)}}else for(let e=t.symbolInstanceStart;e<t.symbolInstanceEnd;e++)I(i.symbolInstances.get(e),i.collisionArrays[e],e);if(n&&i.bucketInstanceId in this.collisionCircleArrays){const t=this.collisionCircleArrays[i.bucketInstanceId];e.at(t.invProjMatrix,l),t.viewportMatrix=this.collisionIndex.getViewportMatrix()}i.justReloaded=!1}storeCollisionData(t,e,r,n,i,a){if(r.textBox||r.iconBox){let a,o;this.collisionBoxArrays.has(t)?a=this.collisionBoxArrays.get(t):(a=new Map,this.collisionBoxArrays.set(t,a)),a.has(e)?o=a.get(e):(o={text:null,icon:null},a.set(e,o)),r.textBox&&(o.text=n.box),r.iconBox&&(o.icon=i.box)}if(a){let e=this.collisionCircleArrays[t];void 0===e&&(e=this.collisionCircleArrays[t]=new qt);for(let t=0;t<a.circles.length;t+=4)e.circles.push(a.circles[t+0]),e.circles.push(a.circles[t+1]),e.circles.push(a.circles[t+2]),e.circles.push(a.collisionDetected?1:0)}}markUsedJustification(t,r,n,i){const a={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};let o;o=i===e.ai.vertical?n.verticalPlacedTextSymbolIndex:a[e.au(r)];const s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];for(const e of s)e>=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID)}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon)}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,!1,!1);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed)}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray)}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=!1),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=!1),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,!1,!1,!0),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),!0);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);t.hasVisibleVertices=t.hasVisibleVertices||r!==ne},g=this.collisionBoxArrays.get(t.bucketInstanceId);for(let r=0;r<t.symbolInstances.length;r++){const i=t.symbolInstances.get(r),{numHorizontalGlyphVertices:a,numVerticalGlyphVertices:o,crossTileID:l}=i,c=n[l];let y=this.opacities[l];c?y=s:y||(y=d,this.opacities[l]=y),n[l]=!0;const v=a>0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i))}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=!0;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=!1}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y)}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0)}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(t,e){const r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return{isOccluded(t,e,r){return!1},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=!1){if(!r[0]&&!r[1])return[0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e]}return[i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndex<t.length;){const r=t[this._currentTileIndex];if(e.getBucketParts(a,n,r,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(((t,e)=>t.sortKey-e.sortKey)));this._currentPartIndex<a.length;){const t=a[this._currentPartIndex];if(e.placeLayerBucketPart(t,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1}}class oe{constructor(t,e,r,n,i,a,o,s){this.placement=new Wt(t,ie(),e,a,o,s),this._currentPlacementIndex=r.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=i,this._done=!1}isDone(){return this._done}continuePlacement(t,e,r){const n=a.now(),i=()=>!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t<r.length;t++){const e=r.get(t),n=e.key,a=i.get(n);a?a.push(e):i.set(n,[e])}for(const[t,r]of i){const n={positions:r.map((t=>({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t}this._symbolsByKey[t]=n}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return{x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z);for(let i=0;i<t.length;i++){const a=t.get(i);if(a.crossTileID)continue;const o=this._symbolsByKey[a.key];if(!o)continue;const s=this.getScaledCoordinates(a,e);if(o.index){const t=o.index.range(s.x-n,s.y-n,s.x+n,s.y+n).sort();for(const e of t){const t=o.crossTileIDs[e];if(!r[t]){r[t]=!0,a.crossTileID=t;break}}}else if(o.positions)for(let t=0;t<o.positions.length;t++){const e=o.positions[t],i=o.crossTileIDs[t];if(Math.abs(e.x-s.x)<=n&&Math.abs(e.y-s.y)<=n&&!r[i]){r[i]=!0,a.crossTileID=i;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:t})=>t))}}class ce{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}this.indexes[t]=n}this.lng=t}addBucket(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(let t=0;t<e.symbolInstances.length;t++)e.symbolInstances.get(t).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});const n=this.usedCrossTileIDs[t.overscaledZ];for(const r in this.indexes){const i=this.indexes[r];if(Number(r)>t.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n)}else{const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n)}}for(let t=0;t<e.symbolInstances.length;t++){const i=e.symbolInstances.get(t);i.crossTileID||(i.crossTileID=r.generate(),n[i.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new le(t,e.symbolInstances,e.bucketInstanceId),!0}removeBucketCrossTileIDs(t,e){for(const r of e.getCrossTileIDsLists())for(const e of r)delete this.usedCrossTileIDs[t][e]}removeStaleBuckets(t){let e=!1;for(const r in this.indexes){const n=this.indexes[r];for(const i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e}}class he{constructor(){this.layerIndexes={},this.crossTileIDs=new ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(t,e,r){let n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new ue);let i=!1;const a={};n.handleWrapJump(r);for(const r of e){const e=r.getBucket(t);e&&t.id===e.layerIds[0]&&(e.bucketInstanceId||(e.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(r.tileID,e,this.crossTileIDs)&&(i=!0),a[e.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i}pruneUnusedLayers(t){const e={};t.forEach((t=>{e[t]=!0}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t]}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload()}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e)}}))}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n)})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t))}))}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=!1!==r.validate,this._load(t,r,n)})).catch((()=>{}))}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:!1})}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=!0,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:!1});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"))}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t}}_loadSprite(t,r=!1,n=void 0){let i;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=!0;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],!1):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=!0)}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),r&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i)}))}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)))}loaded(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize())}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return!0;if(this.sky&&this.sky.hasTransition())return!0;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(const t in this._layers)if(this._layers[t].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else{if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates()}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=!1}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=!0)}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}))}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return!1;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return!1;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,!0}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case\"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case\"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case\"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case\"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case\"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case\"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case\"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case\"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case\"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case\"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case\"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case\"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case\"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case\"setTransition\":e.push((()=>{}));break;default:r.push(n.command)}return{operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t)}updateImage(t,e){this.imageManager.updateImage(t,e)}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t)}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=!0}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=!0}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t)}else{if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}moveLayer(t,r){if(this._checkLoaded(),this._changed=!0,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=!0)}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map)}getLayer(t){return this._layers[t]}getLayersOrder(){return[...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)))}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)))}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)))}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[t]=!0,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return\"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)))}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(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._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e)}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]<a)break;i.push(e),n.pop()}else for(const e of t){const t=e[o];if(t)for(const e of t)i.push(e.feature)}}return i}queryRenderedFeatures(t,r,n){r&&r.filter&&this._validate(e.x.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);const i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new e.j(new Error(\"parameters.layers must be an Array.\"))),[];for(const t of r.layers){const r=this._layers[t];if(!r)return this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be queried for features.`))),[];i[r.source]=!0}}const a=[];r.availableImages=this._availableImages;const o=this._serializedAllLayers();for(const e in this.sourceCaches)r.layers&&!i[e]||a.push(Z(this.sourceCaches[e],this._layers,o,t,r,n));return this.placement&&a.push(function(t,e,r,n,i,a,o){const s={},l=a.queryRenderedSymbols(n),c=[];for(const t of Object.keys(l).map(Number))c.push(o[t]);c.sort(W);for(const r of c){const n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(const t in n){const e=s[t]=s[t]||[],i=n[t];i.sort(((t,e)=>{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t)}}for(const e in s)s[e].forEach((n=>{const 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}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;t<r.length;t++){const a=r[t],o=a.tileID.canonical.key;i[o]||(i[o]=!0,a.querySourceFeatures(n,e))}return n}(n,r):[]}getLight(){return this.light.getLight()}setLight(t,r={}){this._checkLoaded();const n=this.light.getLight();let i=!1;for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(t,r),this.light.updateTransitions(o)}getSky(){var t;return null===(t=this.stylesheet)||void 0===t?void 0:t.sky}setSky(t,r={}){const n=this.sky.getSky();let i=!1;t||n&&(i=!0);for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=t,this.sky.setSky(t,r),this.sky.updateTransitions(o)}_validate(t,r,n,i,a={}){return(!a||!1!==a.validate)&&fe(this,t.call(e.x,e.e({key:r,style:this.serialize(),value:n,styleSpec:e.v},i)))}_remove(t=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),ut().off(st,this._rtlPluginLoaded);for(const t in this._layers)this._layers[t].setEventedParent(null);for(const t in this.sourceCaches){const e=this.sourceCaches[t];e.setEventedParent(null),e.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),t&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(t)}_clearSource(t){this.sourceCaches[t].clearTiles()}_reloadSource(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()}_updateSources(t){for(const e in this.sourceCaches)this.sourceCaches[e].update(t,this.map.terrain)}_generateCollisionBoxes(){for(const t in this.sourceCaches)this._reloadSource(t)}_updatePlacement(t,e,r,n,i=!1){let o=!1,s=!1;const l={};for(const e of this._order){const r=this._layers[e];if(\"symbol\"!==r.type)continue;if(!l[r.source]){const t=this.sourceCaches[r.source];l[r.source]=t.getRenderableIds(!0).map((e=>t.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)))}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,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(a.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t))}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,!0,i))}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=!0;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)))}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,!0,n):(this._unloadSprite(),n&&n(null)))}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#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\\n\",\"#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;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"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);}\"),backgroundPattern:ye(\"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);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\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=v_visibility*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;varying float v_visibility;\\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);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));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,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,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);}\"),clippingMask:ye(\"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);}\"),heatmap:ye(\"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;}\"),heatmapTexture:ye(\"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;}\"),collisionBox:ye(\"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_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"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);}\"),debug:ye(\"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,get_elevation(a_pos),1);}\"),fill:ye(\"#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);}\"),fillOutline:ye(\"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;}\"),fillOutlinePattern:ye(\"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;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform 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);}\"),fillExtrusion:ye(\"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;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying 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;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),fillExtrusionPattern:ye(\"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;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying 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;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),hillshadePrepare:ye(\"#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;}\"),hillshade:ye(\"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;}\"),line:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform 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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_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);}\"),raster:ye(\"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;}\"),symbolIcon:ye(\"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}\",\"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;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;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;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#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 inner_edge=(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);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"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 bool u_is_along_line;uniform bool u_is_variable_anchor;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_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#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}\",\"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;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,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);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const 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,((t,e,r,n,i)=>(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,((t,e,r,n,i)=>{const 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}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t<n.length;t++)this.boundPaintVertexBuffers[t]!==n[t]&&(c=!0);!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||c||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s||this.boundDynamicVertexBuffer3!==l?this.freshBind(e,r,n,i,a,o,s,l):(t.bindVertexArray.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind(),l&&l.bind())}freshBind(t,e,r,n,i,a,o,s){const l=t.numAttributes,c=this.context,u=c.gl;this.vao&&this.destroy(),this.vao=c.createVertexArray(),c.bindVertexArray.set(this.vao),this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o,this.boundDynamicVertexBuffer3=s,e.enableAttributes(u,t);for(const e of r)e.enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),s&&s.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(const e of r)e.bind(),e.setVertexAttribPointers(u,t,i);a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),s&&(s.bind(),s.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}const xe=(t,r,n,i,a)=>({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r<t.length;r++){if(null===t[r])continue;const n=t[r].split(\" \");e.push(n.pop())}return e}class be{constructor(t,r,n,i,a,o){const s=t.gl;this.program=s.createProgram();const l=_e(r.staticAttributes),c=n?n.getBinderAttributes():[],u=l.concat(c),h=ge.prelude.staticUniforms?_e(ge.prelude.staticUniforms):[],f=r.staticUniforms?_e(r.staticUniforms):[],p=n?n.getBinderUniforms():[],d=h.concat(f).concat(p),m=[];for(const t of d)m.indexOf(t)<0&&m.push(t);const g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\"),o&&g.push(\"#define TERRAIN3D;\");const y=g.concat(ge.prelude.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(ge.prelude.vertexSource,r.vertexSource).join(\"\\n\"),x=s.createShader(s.FRAGMENT_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(x,y),s.compileShader(x),!s.getShaderParameter(x,s.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${s.getShaderInfoLog(x)}`);s.attachShader(this.program,x);const _=s.createShader(s.VERTEX_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(_,v),s.compileShader(_),!s.getShaderParameter(_,s.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${s.getShaderInfoLog(_)}`);s.attachShader(this.program,_),this.attributes={};const b={};this.numAttributes=u.length;for(let t=0;t<this.numAttributes;t++)u[t]&&(s.bindAttribLocation(this.program,t,u[t]),this.attributes[u[t]]=t);if(s.linkProgram(this.program),!s.getProgramParameter(this.program,s.LINK_STATUS))throw new Error(`Program failed to link: ${s.getProgramInfoLog(this.program)}`);s.deleteShader(_),s.deleteShader(x);for(let t=0;t<m.length;t++){const e=m[t];if(e&&!b[e]){const t=s.getUniformLocation(this.program,e);t&&(b[e]=t)}}this.fixedUniforms=i(t,b),this.terrainUniforms=((t,r)=>({u_depth:new e.aI(t,r.u_depth),u_terrain:new e.aI(t,r.u_terrain),u_terrain_dim:new e.aJ(t,r.u_terrain_dim),u_terrain_matrix:new e.aK(t,r.u_terrain_matrix),u_terrain_unpack:new e.aL(t,r.u_terrain_unpack),u_terrain_exaggeration:new e.aJ(t,r.u_terrain_exaggeration)}))(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}draw(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=t.gl;if(this.failedToCreate)return;if(t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),s){t.activeTexture.set(v.TEXTURE2),v.bindTexture(v.TEXTURE_2D,s.depthTexture),t.activeTexture.set(v.TEXTURE3),v.bindTexture(v.TEXTURE_2D,s.texture);for(const t in this.terrainUniforms)this.terrainUniforms[t].set(s[t])}for(const t in this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2)}}}function we(t,e,r){const n=1/Nt(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]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8]}(s,s,l);const c=a.properties.get(\"color\");return{u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=!0,o=[t,t]}else a=!1,o=i.pixelsToGLUnits;return{u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.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\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return{u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return{u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return{u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(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:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ze(t){t*=Math.PI/180;const 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]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.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:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:+d})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,!0,f,!0,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),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:[o,s],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/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)}enableAttributes(t,e){for(let r=0;r<this.attributes.length;r++){const n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}}setVertexAttribPointers(t,e,r){for(let n=0;n<this.attributes.length;n++){const i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[tr[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const rr=new WeakMap;function nr(t){var e;if(rr.has(t))return rr.get(t);{const r=null===(e=t.getParameter(t.VERSION))||void 0===e?void 0:e.startsWith(\"WebGL 2.0\");return rr.set(t,r),r}}class ir{constructor(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(t){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class ar extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class or extends ir{getDefault(){return 1}set(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)}}class sr extends ir{getDefault(){return 0}set(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)}}class lr extends ir{getDefault(){return[!0,!0,!0,!0]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class cr extends ir{getDefault(){return!0}set(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)}}class ur extends ir{getDefault(){return 255}set(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)}}class hr extends ir{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(t){const e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)}}class fr extends ir{getDefault(){const t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)}}class pr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}}class dr extends ir{getDefault(){return[0,1]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)}}class mr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}}class gr extends ir{getDefault(){return this.gl.LESS}set(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)}}class yr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}}class vr extends ir{getDefault(){const t=this.gl;return[t.ONE,t.ZERO]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)}}class xr extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class _r extends ir{getDefault(){return this.gl.FUNC_ADD}set(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)}}class br extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}}class wr extends ir{getDefault(){return this.gl.BACK}set(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)}}class Tr extends ir{getDefault(){return this.gl.CCW}set(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)}}class kr extends ir{getDefault(){return null}set(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)}}class Ar extends ir{getDefault(){return this.gl.TEXTURE0}set(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)}}class Mr extends ir{getDefault(){const t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class Sr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}}class Er extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Cr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}}class Lr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Ir extends ir{getDefault(){return null}set(t){const e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Pr extends ir{getDefault(){return null}set(t){var e;if(t===this.current&&!this.dirty)return;const r=this.gl;nr(r)?r.bindVertexArray(t):null===(e=r.getExtension(\"OES_vertex_array_object\"))||void 0===e||e.bindVertexArrayOES(t),this.current=t,this.dirty=!1}}class zr extends ir{getDefault(){return 4}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}}class Or extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}}class Dr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}}class Rr extends ir{constructor(t,e){super(t),this.context=t,this.parent=e}getDefault(){return null}}class Fr extends Rr{setDirty(){this.dirty=!0}set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}}class Br extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Nr extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_STENCIL_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class jr{constructor(t,e,r,n,i){this.context=t,this.width=e,this.height=r;const a=t.gl,o=this.framebuffer=a.createFramebuffer();if(this.colorAttachment=new Fr(t,o),n)this.depthAttachment=i?new Nr(t,o):new Br(t,o);else if(i)throw new Error(\"Stencil cannot be set without depth\");if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){const t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){const e=this.depthAttachment.get();e&&t.deleteRenderbuffer(e)}t.deleteFramebuffer(this.framebuffer)}}class Ur{constructor(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r}}Ur.Replace=[1,0],Ur.disabled=new Ur(Ur.Replace,e.aN.transparent,[!1,!1,!1,!1]),Ur.unblended=new Ur(Ur.Replace,e.aN.transparent,[!0,!0,!0,!0]),Ur.alphaBlended=new Ur([1,771],e.aN.transparent,[!0,!0,!0,!0]);class Vr{constructor(t){var e,r;if(this.gl=t,this.clearColor=new ar(this),this.clearDepth=new or(this),this.clearStencil=new sr(this),this.colorMask=new lr(this),this.depthMask=new cr(this),this.stencilMask=new ur(this),this.stencilFunc=new hr(this),this.stencilOp=new fr(this),this.stencilTest=new pr(this),this.depthRange=new dr(this),this.depthTest=new mr(this),this.depthFunc=new gr(this),this.blend=new yr(this),this.blendFunc=new vr(this),this.blendColor=new xr(this),this.blendEquation=new _r(this),this.cullFace=new br(this),this.cullFaceSide=new wr(this),this.frontFace=new Tr(this),this.program=new kr(this),this.activeTexture=new Ar(this),this.viewport=new Mr(this),this.bindFramebuffer=new Sr(this),this.bindRenderbuffer=new Er(this),this.bindTexture=new Cr(this),this.bindVertexBuffer=new Lr(this),this.bindElementBuffer=new Ir(this),this.bindVertexArray=new Pr(this),this.pixelStoreUnpack=new zr(this),this.pixelStoreUnpackPremultiplyAlpha=new Or(this),this.pixelStoreUnpackFlipY=new Dr(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.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),nr(t)){this.HALF_FLOAT=t.HALF_FLOAT;const n=t.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=null!==(e=t.RGBA16F)&&void 0!==e?e:null==n?void 0:n.RGBA16F_EXT,this.RGB16F=null!==(r=t.RGB16F)&&void 0!==r?r:null==n?void 0:n.RGB16F_EXT,t.getExtension(\"EXT_color_buffer_float\")}else{t.getExtension(\"EXT_color_buffer_half_float\"),t.getExtension(\"OES_texture_half_float_linear\");const e=t.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=null==e?void 0:e.HALF_FLOAT_OES}}setDefault(){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()}setDirty(){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.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(t,e){return new Qe(this,t,e)}createVertexBuffer(t,e,r){return new er(this,t,e,r)}createRenderbuffer(t,e,r){const n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i}createFramebuffer(t,e,r,n){return new jr(this,t,e,r,n)}clear({color:t,depth:e,stencil:r}){const n=this.gl;let i=0;t&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(t),this.colorMask.set([!0,!0,!0,!0])),void 0!==e&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(e),this.depthMask.set(!0)),void 0!==r&&(i|=n.STENCIL_BUFFER_BIT,this.clearStencil.set(r),this.stencilMask.set(255)),n.clear(i)}setCullFace(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))}setDepthMode(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)}setStencilMode(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)}setColorMode(t){e.aF(t.blendFunction,Ur.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(t.blendFunction),this.blendColor.set(t.blendColor)),this.colorMask.set(t.mask)}createVertexArray(){var t;return nr(this.gl)?this.gl.createVertexArray():null===(t=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===t?void 0:t.createVertexArrayOES()}deleteVertexArray(t){var e;return nr(this.gl)?this.gl.deleteVertexArray(t):null===(e=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===e?void 0:e.deleteVertexArrayOES(t)}unbindVAO(){this.bindVertexArray.set(null)}}class qr{constructor(t,e,r){this.func=t,this.mask=e,this.range=r}}qr.ReadOnly=!1,qr.ReadWrite=!0,qr.disabled=new qr(519,qr.ReadOnly,[0,1]);const Hr=7680;class Gr{constructor(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a}}Gr.disabled=new Gr({func:519,mask:0},0,0,Hr,Hr,Hr);class Zr{constructor(t,e,r){this.enable=t,this.mode=e,this.frontFace=r}}let Wr;function Yr(t,r,n,i,a){const o=t.context,s=o.gl,l=t.useProgram(\"collisionBox\"),c=[];let u=0,h=0;for(let f=0;f<i.length;f++){const p=i[f],d=r.getTile(p).getBucket(n);if(!d)continue;const m=a?d.textCollisionBox:d.iconCollisionBox,g=d.collisionCircleArray;if(g.length>0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer)}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;e<t.circleArray.length/4;e++){const r=4*e,n=t.circleArray[r+0],i=t.circleArray[r+1],a=t.circleArray[r+2],o=t.circleArray[r+3];p.emplace(d++,n,i,a,o,0),p.emplace(d++,n,i,a,o,1),p.emplace(d++,n,i,a,o,2),p.emplace(d++,n,i,a,o,3)}(!Wr||Wr.length<2*u)&&(Wr=function(t){const r=2*t,n=new e.aU;n.resize(r),n._trim();for(let t=0;t<r;t++){const e=6*t;n.uint16[e+0]=4*t+0,n.uint16[e+1]=4*t+1,n.uint16[e+2]=4*t+2,n.uint16[e+3]=4*t+2,n.uint16[e+4]=4*t+3,n.uint16[e+5]=4*t+0}return n}(u));const m=o.createIndexBuffer(Wr,!0),g=o.createVertexBuffer(p,e.aT.members,!0);for(const r of c){const i=Ie(r.transform,r.invTransform,t.transform);f.draw(o,s.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,i,t.style.map.terrain&&t.style.map.terrain.getTerrainData(r.coord),n.id,g,m,e.a0.simpleSegment(0,2*r.circleOffset,r.circleArray.length,r.circleArray.length/2),null,t.transform.zoom,null,null,null)}g.destroy(),m.destroy()}Zr.disabled=new Zr(!1,1029,2305),Zr.backCCW=new Zr(!0,1029,2305);const Xr=e.ao(new Float32Array(16));function $r(t,r,n,i,a){if(\"translucent\"!==t.renderPass)return;const o=Gr.disabled,s=t.colorModeForRenderPass();(n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(t,r,n,i,a,o,s,l,c){const u=r.transform,h=ie(),f=\"map\"===a,p=\"map\"===o;for(const a of t){const t=i.getTile(a),o=t.getBucket(n);if(!o||!o.text||!o.text.segments.get().length)continue;const d=o.textSizeData,m=e.ah(d,u.zoom),g=Nt(t,1,r.transform.zoom),y=_t(a.posMatrix,p,f,r.transform,g),v=\"none\"!==n.layout.get(\"icon-text-fit\")&&o.hasIconData();if(m){const e=Math.pow(2,u.zoom-t.tileID.overscaledZ),n=r.style.map.terrain?(t,e)=>r.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n)}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,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)&&en(t,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&&(Yr(t,r,n,i,!0),Yr(t,r,n,i,!1))}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y<m.length;y++){const x=m.get(y),_=t.allowVerticalPlacement&&!x.placedOrientation,b=x.hidden||!x.crossTileID||_?null:i[x.crossTileID];if(b){const i=new e.P(x.anchorX,x.anchorY),m={getElevation:d,width:a.width,height:a.height,labelPlaneMatrix:o,lineVertexArray:null,pitchWithMap:n,projection:h,projectionCache:null,tileAnchorPoint:i,translation:f,unwrappedTileID:p},y=n?wt(i,s,d):It(i.x,i.y,m),_=Tt(a.cameraToCenterDistance,y.signedDistanceFromCamera);let w=e.aj(t.textSizeData,c,x)*_/e.aq;n&&(w*=t.tilePixelRatio/l);const{width:T,height:k,anchor:A,textOffset:M,textBoxScale:S}=b,E=Jr(A,T,k,M,S,w),C=h.getPitchedTextCorrection(a,i.add(new e.P(f[0],f[1])),p),L=Kr(y.point,m,r,E,a.angle,C),I=t.allowVerticalPlacement&&x.placedOrientation===e.ai.vertical?Math.PI/2:0;for(let t=0;t<x.numGlyphs;t++)e.ak(g,L,I);u&&x.associatedIconIndex>=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I})}else Rt(x.numGlyphs,g)}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;t<r.length;t++){const n=r.get(t);if(n.hidden)Rt(n.numGlyphs,y);else{const r=v[t];if(r)for(let t=0;t<n.numGlyphs;t++)e.ak(y,r.shiftedAnchor,r.angle);else Rt(n.numGlyphs,y)}}t.icon.dynamicLayoutVertexBuffer.updateData(y)}t.text.dynamicLayoutVertexBuffer.updateData(g)}function tn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function en(t,r,n,i,a,o,s,l,c,u,h,f){const p=t.context,d=p.gl,m=t.transform,g=ie(),y=\"map\"===l,v=\"map\"===c,x=\"viewport\"!==l&&\"point\"!==n.layout.get(\"symbol-placement\"),_=y&&!v&&!x,b=!v&&x,w=!n.layout.get(\"symbol-sort-key\").isConstant();let T=!1;const k=t.depthModeForSublayer(0,qr.ReadOnly),A=n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),M=[],S=g.getCircleRadiusCorrection(m);for(const l of i){const i=r.getTile(l),c=i.getBucket(n);if(!c)continue;const h=a?c.text:c.icon;if(!h||!h.segments.get().length||!h.hasVisibleVertices)continue;const f=h.programConfigurations.get(n.id),p=a||c.sdfIcons,k=a?c.textSizeData:c.iconSizeData,E=v||0!==m.pitch,C=t.useProgram(tn(p,a,c),f),L=e.ah(k,m.zoom),I=t.style.map.terrain&&t.style.map.terrain.getTerrainData(l);let P,z,O,D,R=[0,0],F=null;if(a){if(z=i.glyphAtlasTexture,O=d.LINEAR,P=i.glyphAtlasTexture.size,c.iconsInText){R=i.imageAtlasTexture.size,F=i.imageAtlasTexture;const e=\"composite\"===k.kind||\"camera\"===k.kind;D=E||t.options.rotating||t.options.zooming||e?d.LINEAR:d.NEAREST}}else{const e=1!==n.layout.get(\"icon-size\").constantOr(0)||c.iconsNeedLinear;z=i.imageAtlasTexture,O=p||t.options.rotating||t.options.zooming||e||E?d.LINEAR:d.NEAREST,P=i.imageAtlasTexture.size}const B=Nt(i,1,t.transform.zoom),N=b?l.posMatrix:Xr,j=_t(N,v,y,t.transform,B),U=bt(N,v,y,t.transform,B),V=bt(l.posMatrix,v,y,t.transform,B),q=g.translatePosition(t.transform,i,o,s),H=A&&c.hasTextData(),G=\"none\"!==n.layout.get(\"icon-text-fit\")&&H&&c.hasIconData();if(x){const e=t.style.map.terrain?(e,r)=>t.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e)}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,!0,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=!0;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I})}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I})}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData)}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[!0,!0,!0,!0]);(function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{const 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,!1),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e<i.length;e++){const c=i[e];if(r.hasRenderableParent(c))continue;const u=r.getTile(c),h=u.getBucket(n);if(!h)continue;const f=h.programConfigurations.get(n.id),p=t.useProgram(\"heatmap\",f),{zoom:d}=t.transform;p.draw(a,o.TRIANGLES,qr.disabled,s,l,Zr.disabled,Oe(c.posMatrix,u,d,n.paint.get(\"heatmap-intensity\")),null,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,t.transform.zoom,f)}a.viewport.set([0,0,t.width,t.height])}else\"translucent\"===t.renderPass&&(t.context.setColorMode(t.colorModeForRenderPass()),function(t,e){const r=t.context,n=r.gl,i=e.heatmapFbo;if(!i)return;r.activeTexture.set(n.TEXTURE0),n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),r.activeTexture.set(n.TEXTURE1);let a=e.colorRampTexture;a||(a=e.colorRampTexture=new w(r,e.colorRamp,n.RGBA)),a.bind(n.LINEAR,n.CLAMP_TO_EDGE),t.useProgram(\"heatmapTexture\").draw(r,n.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,De(t,e,0,1),null,e.id,t.viewportBuffer,t.quadTriangleIndexBuffer,t.viewportSegments,e.paint,t.transform.zoom)}(t,n))}function an(t,e,r,n,i){if(!r||!n||!n.imageAtlas)return;const a=n.imageAtlas.patternPositions;let o=a[r.to.toString()],s=a[r.from.toString()];if(!o&&s&&(o=s),!s&&o&&(s=o),!o||!s){const t=i.getPaintProperty(e);o=a[t],s=a[t]}o&&s&&t.setConstantPatternPositions(o,s)}function on(t,e,r,n,i,a,o){const s=t.context.gl,l=\"fill-pattern\",c=r.paint.get(l),u=c&&c.constantOr(1),h=r.getCrossfadeParameters();let f,p,d,m,g;o?(p=u&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",f=s.LINES):(p=u?\"fillPattern\":\"fill\",f=s.TRIANGLES);const y=c.constantOr(null);for(const c of n){const n=e.getTile(c);if(u&&!n.patternsLoaded())continue;const v=n.getBucket(r);if(!v)continue;const x=v.programConfigurations.get(r.id),_=t.useProgram(p,x),b=t.style.map.terrain&&t.style.map.terrain.getTerrainData(c);u&&(t.context.activeTexture.set(s.TEXTURE0),n.imageAtlasTexture.bind(s.LINEAR,s.CLAMP_TO_EDGE),x.updatePaintBuffers(h)),an(x,l,y,n,r);const w=b?c:null,T=w?w.posMatrix:c.posMatrix,k=t.translatePosMatrix(T,n,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){m=v.indexBuffer2,g=v.segments2;const e=[s.drawingBufferWidth,s.drawingBufferHeight];d=\"fillOutlinePattern\"===p&&u?Ee(k,t,h,n,e):Se(k,e)}else m=v.indexBuffer,g=v.segments,d=u?Me(k,t,h,n):Ae(k);_.draw(t.context,f,i,t.stencilModeForClipping(c),a,Zr.disabled,d,b,r.id,v.layoutVertexBuffer,m,g,r.paint,t.transform.zoom,x)}}function sn(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=\"fill-extrusion-pattern\",u=r.paint.get(c),h=u.constantOr(1),f=r.getCrossfadeParameters(),p=r.paint.get(\"fill-extrusion-opacity\"),d=u.constantOr(null);for(const u of n){const n=e.getTile(u),m=n.getBucket(r);if(!m)continue;const g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(u),y=m.programConfigurations.get(r.id),v=t.useProgram(h?\"fillExtrusionPattern\":\"fillExtrusion\",y);h&&(t.context.activeTexture.set(l.TEXTURE0),n.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f)),an(y,c,d,n,r);const x=t.translatePosMatrix(u.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),_=r.paint.get(\"fill-extrusion-vertical-gradient\"),b=h?ke(x,t,_,p,u,f,n):Te(x,t,_,p);v.draw(s,s.gl.TRIANGLES,i,a,o,Zr.backCCW,b,g,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y,t.style.map.terrain&&m.centroidVertexBuffer)}}function ln(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=r.fbo;if(!c)return;const u=t.useProgram(\"hillshade\"),h=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());const f=h?e:null;u.draw(s,l.TRIANGLES,i,a,o,Zr.disabled,Re(t,r,n,f),h,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}function cn(t,e,r,n,i,a){const o=t.context,s=o.gl,l=e.dem;if(l&&l.data){const c=l.dim,u=l.stride,h=l.getPixels();if(o.activeTexture.set(s.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(!1),e.demTexture=e.demTexture||t.getTileTexture(u),e.demTexture){const t=e.demTexture;t.update(h,{premultiply:!1}),t.bind(s.NEAREST,s.CLAMP_TO_EDGE)}else e.demTexture=new w(o,h,s.RGBA,{premultiply:!1}),e.demTexture.bind(s.NEAREST,s.CLAMP_TO_EDGE);o.activeTexture.set(s.TEXTURE0);let f=e.fbo;if(!f){const t=new w(o,{width:c,height:c,data:null},s.RGBA);t.bind(s.LINEAR,s.CLAMP_TO_EDGE),f=e.fbo=o.createFramebuffer(c,c,!0,!1),f.colorAttachment.set(t.texture)}o.bindFramebuffer.set(f.framebuffer),o.viewport.set([0,0,c,c]),t.useProgram(\"hillshadePrepare\").draw(o,s.TRIANGLES,n,i,a,Zr.disabled,Fe(e.tileID,l),null,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments),e.needsHillshadePrepare=!1}}function un(t,r,n,i,o,s){const l=i.paint.get(\"raster-fade-duration\");if(!s&&l>0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,mn)}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n)}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST)}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments)}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments)}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize()}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r<i;r++)t[r+n]=new Gr({func:e.GEQUAL,mask:255},r+this.nextStencilID,255,e.KEEP,e.KEEP,e.REPLACE);return this.nextStencilID+=i,[t,r]}return[{[n]:Gr.disabled},r]}colorModeForRenderPass(){const t=this.context.gl;if(this._showOverdrawInspector){const r=1/8;return new Ur([t.CONSTANT_COLOR,t.ONE],new e.aN(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ur.unblended:Ur.alphaBlended}depthModeForSublayer(t,e,r){if(!this.opaquePassEnabledForLayer())return qr.disabled;const n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new qr(r||this.context.gl.LEQUAL,e,[n,n])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(t,r){var n;this.style=t,this.options=r,this.lineAtlas=t.lineAtlas,this.imageManager=t.imageManager,this.glyphManager=t.glyphManager,this.symbolFadeChange=t.placement.symbolFadeChange(a.now()),this.imageManager.beginFrame();const i=this.style._order,o=this.style.sourceCaches,s={},l={},c={};for(const t in o){const e=o[t];e.used&&e.prepare(this.context),s[t]=e.getVisibleCoordinates(),l[t]=s[t].slice().reverse(),c[t]=e.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let t=0;t<i.length;t++){const e=i[t];if(this.style._layers[e].is3D()){this.opaquePassCutoff=t;break}}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(const t of i){const e=this.style._layers[t];if(!e.hasOffscreenPass()||e.isHidden(this.transform.zoom))continue;const r=l[e.source];(\"custom\"===e.type||r.length)&&this.renderLayer(this,o[e.source],e,r)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?e.aN.black:e.aN.transparent,depth:1}),this.clearStencil(),(null===(n=this.style.stylesheet)||void 0===n?void 0:n.sky)&&function(t,r){const n=t.context,i=n.gl,a=((t,e,r)=>({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length))}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){const t=this.style._layers[i[this.currentLayer]],e=o[t.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(t))continue;const r=(\"symbol\"===t.type?c:l)[t.source];this._renderTileClippingMasks(t,s[t.source]),this.renderLayer(this,e,t,r)}if(this.options.showTileBoundaries){const t=function(t,e){let r=null;const n=Object.values(t._layers).flatMap((r=>r.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoom<t.getSource().maxzoom)&&(r=t)};return i.forEach((t=>o(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n<r.length;n++)_n(t,e,r[n])}(this,t,t.getVisibleCoordinates())}this.options.showPadding&&gn(this),this.context.setDefault()}maybeDrawDepthAndCoords(t){if(!this.style||!this.style.map||!this.style.map.terrain)return;const r=this.terrainFacilitator.matrix,n=this.transform.modelViewProjectionMatrix;let i=this.terrainFacilitator.dirty;i||(i=t?!e.a_(r,n):!e.a$(r,n)),i||(i=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain))}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case\"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case\"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;a<i.length;a++){const o=i[a],s=r.getTile(o),c=s.getBucket(n);if(!c)continue;const u=c.programConfigurations.get(n.id),h=t.useProgram(\"circle\",u),f=c.layoutVertexBuffer,p=c.indexBuffer,m=t.style.map.terrain&&t.style.map.terrain.getTerrainData(o),g={programConfiguration:u,program:h,layoutVertexBuffer:f,indexBuffer:p,uniformValues:Ce(t,o,s,n),terrainData:m};if(l){const t=c.segments.get();for(const r of t)d.push({segments:new e.a0([r]),sortKey:r.sortKey,state:g})}else d.push({segments:c.segments,sortKey:0,state:g})}l&&d.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r)}}(t,r,n,i);break;case\"heatmap\":nn(t,r,n,i);break;case\"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=t.context,g=m.gl;let y=!0;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r)}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<<t.transform.maxZoom-a.canonical.z):1,s=o.maxLineLength/e.X*1024*i;l=e.ad(e.aV(s),256,m.maxTextureSize)}i.gradient=e.aW({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:l,image:i.gradient||void 0,clips:o.lineClipsArray}),i.texture?i.texture.update(i.gradient):i.texture=new w(m,i.gradient,g.RGBA),i.version=n.gradientVersion,s=i.texture}m.activeTexture.set(g.TEXTURE0),s.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}_.draw(m,g.TRIANGLES,s,t.stencilModeForClipping(a),l,Zr.disabled,M,T,n.id,o.layoutVertexBuffer,o.indexBuffer,o.segments,n.paint,t.transform.zoom,v,o.layoutVertexBuffer2),y=!1}}(t,r,n,i);break;case\"fill\":!function(t,r,n,i){const a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0===o.constantOr(1))return;const s=t.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=t.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(e.aN.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(t.renderPass===c){const e=t.depthModeForSublayer(1,\"opaque\"===t.renderPass?qr.ReadWrite:qr.ReadOnly);on(t,r,n,i,e,s,!1)}if(\"translucent\"===t.renderPass&&n.paint.get(\"fill-antialias\")){const e=t.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qr.ReadOnly);on(t,r,n,i,e,s,!0)}}(t,r,n,i);break;case\"fill-extrusion\":!function(t,e,r,n){const i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){const a=new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))sn(t,e,r,n,a,Gr.disabled,Ur.disabled),sn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{const i=t.colorModeForRenderPass();sn(t,e,r,n,a,Gr.disabled,i)}}}(t,r,n,i);break;case\"hillshade\":!function(t,e,r,n){if(\"offscreen\"!==t.renderPass&&\"translucent\"!==t.renderPass)return;const i=t.context,a=t.depthModeForSublayer(0,qr.ReadOnly),o=t.colorModeForRenderPass(),[s,l]=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n];for(const n of l){const i=e.getTile(n);void 0!==i.needsHillshadePrepare&&i.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,i,r,a,Gr.disabled,o):\"translucent\"===t.renderPass&&ln(t,n,i,r,a,s[n.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}(t,r,n,i);break;case\"raster\":!function(t,e,r,n){if(\"translucent\"!==t.renderPass)return;if(0===r.paint.get(\"raster-opacity\"))return;if(!n.length)return;const i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),[c,u]=o instanceof rt?[{},n]:t.stencilConfigForOverlap(n),h=u[u.length-1].overscaledZ,f=!t.options.moving;for(const n of u){const u=t.depthModeForSublayer(n.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?qr.ReadWrite:qr.ReadOnly,a.LESS),p=e.getTile(n);p.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));const d=e.findLoadedParent(n,0),m=e.findLoadedSibling(n),g=un(p,d||m||null,e,r,t.transform,t.style.map.terrain);let y,v;const x=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),d?(d.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,d.tileID.overscaledZ-p.tileID.overscaledZ),v=[p.tileID.canonical.x*y%1,p.tileID.canonical.y*y%1]):p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),p.texture.useMipmap&&i.extTextureFilterAnisotropic&&t.transform.pitch>20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}(t,r,n,i);break;case\"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}(t,0,n,i);break;case\"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}(t,0,n)}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e]}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return!1;if(!t.from||!t.to)return!0;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){const 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)}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA)}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e}static fromInvProjectionMatrix(t,r,n){const 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((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5)}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t<e.length;t++)r[t]=e[t]?this.min[t]:this.center[t],n[t]=e[t]?this.center[t]:this.max[t];return n[2]=this.max[2],new An(r,n)}distanceX(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]}distanceY(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]}intersects(t){const r=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]];let n=!0;for(let i=0;i<t.planes.length;i++){const a=t.planes[i];let o=0;for(let t=0;t<r.length;t++)e.b2(a,r[t])>=0&&o++;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;i<t.points.length;i++){const a=t.points[i][e]-this.min[e];r=Math.min(r,a),n=Math.max(n,a)}if(n<0||r>this.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(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}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||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 e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t))}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&i<t.minzoom)return[];void 0!==t.maxzoom&&i>t.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<<y-i.zoom)-2;if(i.zoom===y||b>w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<<t),n=c[1]-.5-(o<<t);g.push({tileID:new e.S(i.zoom===y?x:i.zoom,i.wrap,i.zoom,a,o),distanceSq:v([u[0]-.5-a,u[1]-.5-o]),tileDistanceToCamera:Math.sqrt(r*r+n*n)})}else for(let l=0;l<4;l++){const c=(a<<1)+l%2,u=(o<<1)+(l>>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l])}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s})}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return(new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn])}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=!1){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t]}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-o<p&&(u=p/(s-o))}i&&(l=e.b3(e.O(i[0])*a,0,a),c=e.b3(e.O(i[1])*a,0,a),c<l&&(c+=a),c-l<f&&(h=f/(c-l)));const{x:d,y:m}=this.project.call({worldSize:a},t);let g,y;const v=Math.max(h||0,u||0);if(v){const t=new e.P(h?(c+l)/2:d,u?(s+o)/2:m);return n.center=this.unproject.call({worldSize:a},t).wrap(),n.zoom+=this.scaleZoom(v),n}if(this.latRange){const t=p/2;m-t<o&&(y=o+t),m+t>s&&(y=s-t)}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-n<l&&(g=l+n),r+n>c&&(g=c-n)}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap()}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=!1}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return[t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return[new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=!1,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=!1)};return(...t)=>(n=!0,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const 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},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t)},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i)},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t)}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=!1;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=!0,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return`#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear()}clear(){this._inertiaBuffer=[]}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t})}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift()}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a)}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t)}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t)}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t)}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter()}return this.clear(),e.e(i,{noMoveStart:!0})}}function Fn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Bn(t,r,n){const{maxSpeed:i,linearity:a,deceleration:o}=n,s=e.ad(t*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}class Nn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n,i={}){const a=o.mousePos(r.getCanvas(),n),s=r.unproject(a);super(t,e.e({point:a,lngLat:s,originalEvent:n},i)),this._defaultPrevented=!1,this.target=r}}class jn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n){const i=\"touchend\"===t?n.changedTouches:n.touches,a=o.touchPos(r.getCanvasContainer(),i),s=a.map((t=>r.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=!1}}class Un extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=!1}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance}reset(){delete this._mousedownPos}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t))}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t))}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t))}mouseout(t){this._map.fire(new Nn(t.type,this._map,t))}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t))}touchend(t){this._map.fire(new jn(t.type,this._map,t))}touchcancel(t){this._map.fire(new jn(t.type,this._map,t))}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class qn{constructor(t){this._map=t}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(t){this._map.fire(new Nn(t.type,this._map,t))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Hn{constructor(t){this._map=t}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)return;const n=this._startPos;this._lastPos=r,this._box||(this._box=o.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));const i=Math.min(n.x,r.x),a=Math.max(n.x,r.x),s=Math.min(n.y,r.y),l=Math.max(n.y,r.y);o.setTransform(this._box,`translate(${i}px,${s}px)`),this._box.style.width=a-i+\"px\",this._box.style.height=l-s+\"px\"}mouseupWindow(t,r){if(!this._active)return;if(0!==t.button)return;const n=this._startPos,i=r;if(this.reset(),o.suppressClick(),n.x!==i.x||n.y!==i.y)return this._map.fire(new e.k(\"boxzoomend\",{originalEvent:t})),{cameraAnimation:t=>t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",t)}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}class Wn{constructor(t){this.reset(),this.numTouches=t.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(t,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)))}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=!0)}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(t,e,r){this.singleTap.touchstart(t,e,r)}touchmove(t,e,r){this.singleTap.touchmove(t,e,r)}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset()}reset(t){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(t)}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=!0,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return!this._moved&&n.dist(r)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=n,this._move(r,n))}dragEnd(t){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(t)&&(this._moved&&o.suppressClick(),this.reset(t))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}const Jn={0:1,2:2};class Kn{constructor(t){this._correctEvent=t.checkCorrectEvent}startMove(t){const e=o.mouseButton(t);this._eventButton=e}endMove(t){delete this._eventButton}isValidStartEvent(t){return this._correctEvent(t)}isValidMoveEvent(t){return!function(t,e){const r=Jn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton)}isValidEndEvent(t){return o.mouseButton(t)===this._eventButton}}class Qn{constructor(){this._firstTouch=void 0}_isOneFingerTouch(t){return 1===t.targetTouches.length}_isSameTouchEvent(t){return t.targetTouches[0].identifier===this._firstTouch}startMove(t){const e=t.targetTouches[0].identifier;this._firstTouch=e}endMove(t){delete this._firstTouch}isValidStartEvent(t){return this._isOneFingerTouch(t)}isValidMoveEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}isValidEndEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}}const ti=t=>{t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault()}},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new e.P(0,0)}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t)}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(t,r,n){n.length>0&&(this._active=!0);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e)}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()<this._clickTolerance?void 0:{around:a.div(s),panDelta:l}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ii{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))}touchmove(t,e,r){if(!this._firstTwoTouches)return;t.preventDefault();const[n,i]=this._firstTwoTouches,a=ai(r,e,n),o=ai(r,e,i);if(!a||!o)return;const s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}touchend(t,e,r){if(!this._firstTwoTouches)return;const[n,i]=this._firstTwoTouches,a=ai(r,e,n),s=ai(r,e,i);a&&s||(this._active&&o.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function ai(t,e,r){for(let n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function oi(t,e){return Math.log(t/e)/Math.LN2}class si extends ii{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(t){this._startDistance=this._distance=t[0].dist(t[1])}_move(t,e){const 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}}}function li(t,e){return 180*t.angleWith(e)/Math.PI}class ci extends ii{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])}_move(t,e,r){const n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,n),pinchAround:e}}_isBelowThreshold(t){this._minDiameter=Math.min(this._minDiameter,t.mag());const e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e}}function ui(t){return Math.abs(t.y)>Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(t){this._defaultZoomRate=t}setWheelZoomRate(t){this._wheelZoomRate=t}isEnabled(){return!!this._enabled}isActive(){return!!this._active||void 0!==this._finishTimeout}isZooming(){return!!this._zooming}enable(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(t){return!!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault()}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=!1;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=!0):s=!0}else o=r,s=!0;return this._active=!0,s&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1)}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset()}reset(){this._active=!1}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset()}else this._tap.touchstart(t,e,r)}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const 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)}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else{const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`)},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(!0);this._updatingCamera=!0;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:!1},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s)}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(!0),this._updatingCamera=!1;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],h(this._map))},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:!0}],[r,\"touchmove\",{passive:!1}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:!1}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:!1}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:!0,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e))}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r)}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const 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)}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[]}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,!0);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(!0),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=!0,this._map._elevationFreeze=!0,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e]}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r)}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c)}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t)}if(n&&h){this._updatingCamera=!0;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap<t&&t<this._bearingSnap;!t||!t.essential&&a.prefersReducedMotion?(this._map.fire(new e.k(\"moveend\",{originalEvent:c})),r(this._map.getBearing())&&this._map.resetNorth()):(r(t.bearing||this._map.getBearing())&&(t.bearing=0),t.freezeElevation=!0,this._map.easeTo(t,{originalEvent:c})),this._updatingCamera=!1}}_fireEvent(t,r){this._map.fire(new e.k(t,r?{originalEvent:r}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((t=>{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges()}))}_triggerRenderFrame(){void 0===this._frameId&&(this._frameId=this._requestFrame())}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this}getPitch(){return this.transform.pitch}setPitch(t,e){return this.jumpTo({pitch:t},e),this}cameraForBounds(t,e){t=X.convert(t);const r=e&&e.bearing||0;return this._cameraForBoxAndBearing(t.getNorthWest(),t.getSouthEast(),r,e)}_cameraForBoxAndBearing(t,r,n,i){const a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=e.e({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){const t=i.padding;i.padding={top:t,bottom:t,right:t,left:t}}i.padding=e.e(a,i.padding);const o=this.transform,s=o.padding,l=new X(t,r),c=o.project(l.getNorthWest()),u=o.project(l.getNorthEast()),h=o.project(l.getSouthEast()),f=o.project(l.getSouthWest()),p=e.ba(-n),d=c.rotate(p),m=u.rotate(p),g=h.rotate(p),y=f.rotate(p),v=new e.P(Math.max(d.x,m.x,y.x,g.x),Math.max(d.y,m.y,y.y,g.y)),x=new e.P(Math.min(d.x,m.x,y.x,g.x),Math.min(d.y,m.y,y.y,g.y)),_=v.sub(x),b=(o.width-(s.left+s.right+i.padding.left+i.padding.right))/_.x,w=(o.height-(s.top+s.bottom+i.padding.top+i.padding.bottom))/_.y;if(w<0||b<0)return void e.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");const T=Math.min(o.scaleZoom(o.scale*Math.min(b,w)),i.maxZoom),k=e.P.convert(i.offset),A=(i.padding.left-i.padding.right)/2,M=(i.padding.top-i.padding.bottom)/2,S=new e.P(A,M).rotate(e.ba(n)),E=k.add(S).mult(o.scale/o.zoomScale(T));return{center:o.unproject(c.add(h).div(2).sub(E)),zoom:T,bearing:n}}fitBounds(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)}fitScreenCoordinates(t,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.P.convert(t)),this.transform.pointLocation(e.P.convert(r)),n,i),i,a)}_fitInternal(t,r,n){return t?(delete(r=e.e(t,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this}jumpTo(t,r){this.stop();const n=this._getTransformForUpdate();let i=!1,a=!1,o=!1;return\"zoom\"in t&&n.zoom!==+t.zoom&&(i=!0,n.zoom=+t.zoom),void 0!==t.center&&(n.center=e.N.convert(t.center)),\"bearing\"in t&&n.bearing!==+t.bearing&&(a=!0,n.bearing=+t.bearing),\"pitch\"in t&&n.pitch!==+t.pitch&&(o=!0,n.pitch=+t.pitch),null==t.padding||n.isPaddingEqual(t.padding)||(n.padding=t.padding),this._applyUpdatedTransform(n),this.fire(new e.k(\"movestart\",r)).fire(new e.k(\"move\",r)),i&&this.fire(new e.k(\"zoomstart\",r)).fire(new e.k(\"zoom\",r)).fire(new e.k(\"zoomend\",r)),a&&this.fire(new e.k(\"rotatestart\",r)).fire(new e.k(\"rotate\",r)).fire(new e.k(\"rotateend\",r)),o&&this.fire(new e.k(\"pitchstart\",r)).fire(new e.k(\"pitch\",r)).fire(new e.k(\"pitchend\",r)),this.fire(new e.k(\"moveend\",r))}calculateCameraOptionsFromTo(t,r,n,i=0){const a=e.Z.fromLngLat(t,r),o=e.Z.fromLngLat(n,i),s=o.x-a.x,l=o.y-a.y,c=o.z-a.z,u=Math.hypot(s,l,c);if(0===u)throw new Error(\"Can't calculate camera options with same From and To\");const h=Math.hypot(s,l),f=this.transform.scaleZoom(this.transform.cameraToCenterDistance/u/this.transform.tileSize),p=180*Math.atan2(s,-l)/Math.PI;let d=180*Math.acos(h/u)/Math.PI;return d=c<0?90-d:90+d,{center:o.toLngLat(),zoom:f,pitch:d,bearing:p}}easeTo(t,r){var n;this._stop(!1,t.easeId),(!1===(t=e.e({offset:[0,0],duration:500,easing:e.b9},t)).animate||!t.essential&&a.prefersReducedMotion)&&(t.duration=0);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.project(m),x=i.project(g).sub(v),_=i.zoomScale(y-o);let b,w;t.around&&(b=e.N.convert(t.around),w=i.locationPoint(b));const T={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||y!==o,this._rotating=this._rotating||s!==u,this._pitching=this._pitching||h!==l,this._padding=!i.isPaddingEqual(f),this._easeId=t.easeId,this._prepareEase(r,t.noMoveStart,T),this.terrain&&this._prepareElevation(g),this._ease((n=>{if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else{const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d)}this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e)}),t),this}_prepareEase(t,r,n={}){this._moving=!0,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t))}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitude<r){const n=this.calculateCameraOptionsFromTo(e.lngLat,r,t.center,t.elevation);return{pitch:n.pitch,zoom:n.zoom}}return{}}_applyUpdatedTransform(t){const e=[];if(this.terrain&&e.push((t=>this._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e)}this.transform.apply(r)}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t))}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const 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 e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t))}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2)}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}const C=M(!1);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e},P=(M(!0)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T<w?-1:1;P=Math.abs(Math.log(T/w))/b,I=()=>0,L=t=>Math.exp(e*b*t)}if(\"duration\"in t)t.duration=+t.duration;else{const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,!1),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r)}),t),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e)}return t||null===(r=this.handlers)||void 0===r||r.stop(!1),this}_ease(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)<n&&(t-=360),Math.abs(t+360-r)<n&&(t+=360),t}_normalizeCenter(t,e){if(!e.renderWorldCopies||e.lngRange)return;const r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=t}getDefaultPosition(){return\"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution)}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\")}},this.options=t}getDefaultPosition(){return\"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=!0)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=!0,t.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:r}))n[i.key]=!0,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t]}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<<o),l=i.canonical.y-(i.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<<o),l=t.canonical.y-(t.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n<r.minzoom)return null;this._sourceTileCache[t.key]||(this._sourceTileCache[t.key]=t.scaledTo(n).key);let i=this.sourceCache.getTileByID(this._sourceTileCache[t.key]);if((!i||!i.dem)&&e)for(;n>=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r<i&&n>=0&&n<i))return 0;const o=this.getTerrainData(t),s=null===(a=o.tile)||void 0===a?void 0:a.dem;if(!s)return 0;const l=function(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}([],[r/i*e.X,n/i*e.X],o.u_terrain_matrix),c=[l[0]*s.dim,l[1]*s.dim],u=Math.floor(c[0]),h=Math.floor(c[1]),f=c[0]-u,p=c[1]-h;return s.get(u,h)*(1-f)*(1-p)+s.get(u+1,h)*f*(1-p)+s.get(u,h+1)*(1-f)*p+s.get(u+1,h+1)*f*p}getElevationForLngLatZoom(t,r){const{tileID:n,mercatorX:i,mercatorY:a}=this._getOverscaledTileIDFromLngLatZoom(t,r);return this.getElevation(n,i%e.X,a%e.X,e.X)}getElevation(t,r,n,i=e.X){return this.getDEMElevation(t,r,n,i)*this.exaggeration}getTerrainData(t){if(!this._emptyDemTexture){const t=this.painter.context,r=new e.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new w(t,r,t.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new w(t,new e.R({width:1,height:1}),t.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=e.ao([])}const r=this.sourceCache.getSourceTile(t,!0);if(r&&r.dem&&(!r.demTexture||r.needsTerrainPrepare)){const t=this.painter.context;r.demTexture=this.painter.getTileTexture(r.dem.stride),r.demTexture?r.demTexture.update(r.dem.getPixels(),{premultiply:!1}):r.demTexture=new w(t,r.dem.getPixels(),t.gl.RGBA,{premultiply:!1}),r.demTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),r.needsTerrainPrepare=!1}const n=r&&r+r.tileID.key+t.key;if(n&&!this._demMatrixCache[n]){const n=this.sourceCache.sourceCache._source.maxzoom;let i=t.canonical.z-r.tileID.canonical.z;t.overscaledZ>t.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<<i),o=t.canonical.y-(t.canonical.y>>i<<i),s=e.bb(new Float64Array(16),[1/(e.X<<i),1/(e.X<<i),0]);e.J(s,s,[a*e.X,o*e.X,0]),this._demMatrixCache[t.key]={matrix:s,coord:t}}return{u_depth:2,u_terrain:3,u_terrain_dim:r&&r.dem&&r.dem.dim||1,u_terrain_matrix:n?this._demMatrixCache[t.key].matrix:this._emptyDemMatrix,u_terrain_unpack:r&&r.dem&&r.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(r&&r.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:r}}getFramebuffer(t){const e=this.painter,r=e.width/devicePixelRatio,n=e.height/devicePixelRatio;return!this._fbo||this._fbo.width===r&&this._fbo.height===n||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=e.context.createFramebuffer(r,n,!0,!1),this._fbo.depthAttachment.set(e.context.createRenderbuffer(e.context.gl.DEPTH_COMPONENT16,r,n))),this._fbo.colorAttachment.set(\"coords\"===t?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){const t=this.painter.context;if(this._coordsTexture)return this._coordsTexture;const r=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let t=0,e=0;t<this._coordsTextureSize;t++)for(let n=0;n<this._coordsTextureSize;n++,e+=4)r[e+0]=255&n,r[e+1]=255&t,r[e+2]=n>>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:!1});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(!0);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<<h.tileID.canonical.z)*f;return new e.Z((h.tileID.canonical.x*f+l)/p+h.tileID.wrap,(h.tileID.canonical.y*f+c)/p,this.getElevation(h.tileID,l,c,f))}depthAtPoint(t){const e=new Uint8Array(4),r=this.painter.context,n=r.gl;return r.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),n.readPixels(t.x,this.painter.height/devicePixelRatio-t.y-1,1,1,n.RGBA,n.UNSIGNED_BYTE,e),r.bindFramebuffer.set(null),(e[0]/16777216+e[1]/65536+e[2]/256+e[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;const t=this.painter.context,r=new e.bc,n=new e.aY,i=this.meshSize,a=e.X/i,o=i*i;for(let t=0;t<=i;t++)for(let e=0;e<=i;e++)r.emplaceBack(e*a,t*a,0);for(let t=0;t<o;t+=i+1)for(let e=0;e<i;e++)n.emplaceBack(e+t,i+e+t+1,i+e+t+2),n.emplaceBack(e+t,i+e+t+2,e+t+1);const s=r.length,l=s+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(n*a,t*e.X,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(l+t,l+t+1,l+t+3),n.emplaceBack(l+t,l+t+3,l+t+2),n.emplaceBack(s+t,s+t+3,s+t+1),n.emplaceBack(s+t,s+t+2,s+t+3);const c=r.length,u=c+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(t*e.X,n*a,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(c+t,c+t+1,c+t+3),n.emplaceBack(c+t,c+t+3,c+t+2),n.emplaceBack(u+t,u+t+3,u+t+1),n.emplaceBack(u+t,u+t+2,u+t+3);return this._mesh=new wn(t.createVertexBuffer(r,zi.members),t.createIndexBuffer(n),e.a0.simpleSegment(0,0,r.length,n.length)),this._mesh}getMeshFrameDelta(t){return 2*Math.PI*e.bd/Math.pow(2,t)/5}getMinTileElevationForLngLatZoom(t,e){var r;const{tileID:n}=this._getOverscaledTileIDFromLngLatZoom(t,e);return null!==(r=this.getMinMaxElevation(n).minElevation)&&void 0!==r?r:0}getMinMaxElevation(t){const e=this.getTerrainData(t).tile,r={minElevation:null,maxElevation:null};return e&&e.dem&&(r.minElevation=e.dem.min*this.exaggeration,r.maxElevation=e.dem.max*this.exaggeration),r}_getOverscaledTileIDFromLngLatZoom(t,r){const n=e.Z.fromLngLat(t.wrap()),i=(1<<r)*e.X,a=n.x*i,o=n.y*i,s=Math.floor(a/e.X),l=Math.floor(o/e.X);return{tileID:new e.S(r,0,r,s,l),mercatorX:a,mercatorY:o}}}class Ri{constructor(t,e,r){this._context=t,this._size=e,this._tileSize=r,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(const t of this._objects)t.texture.destroy(),t.fbo.destroy()}_createObject(t){const e=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),r=new w(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return r.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),e.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),e.colorAttachment.set(r.texture),{id:t,fbo:e,texture:r,stamp:-1,inUse:!1}}getObjectForId(t){return this._objects[t]}useObject(t){t.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((e=>t.id!==e)),this._recentlyUsed.push(t.id)}stampObject(t){t.stamp=++this._stamp}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=!1}freeAllObjects(){for(const t of this._objects)this.freeObject(t)}isFull(){return!(this._objects.length<this._size)&&!1===this._objects.some((t=>!t.inUse))}}const Fi={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor)}destruct(){this.pool.destruct()}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t])}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join()}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[])}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return!1;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return!0;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t<i.length;t++){const e=n.style._layers[i[t]],o=e.source?this._coordsDescendingInv[e.source][r.tileID.key]:[r.tileID];n.context.viewport.set([0,0,a.fbo.width,a.fbo.height]),n._renderTileClippingMasks(e,o),n.renderLayer(n,n.style.sourceCaches[e.source],e,o),e.source&&(r.rttCoords[e.source]=this._coordsDescendingInvStr[e.source][r.tileID.key])}}return bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Fi[r]}return!1}}const Ni={\"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\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use ⌘ + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ji=r,Ui={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ci,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:e.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0};const Vi=t=>{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd},qi={showCompass:!0,showZoom:!0,visualizePitch:!1};class Hi{constructor(t,r,n=!1){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:!0,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t))},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp()},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos))},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:!0}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:!0}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:!0}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:!0})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(r,\"touchcancel\",this.reset)}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag()}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag()}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend)}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)<o?t=i:n.locationPoint(a).distSqr(r)<o&&(t=a)}for(;Math.abs(t.lng-n.center.lng)>180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={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 Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`)}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type)})).catch((()=>{}))},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e}this._isDragging&&(this._pos=t.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 e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")))},this._onUp=()=>{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 e.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=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))},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||!1,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else{this._defaultMarker=!0,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const 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\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e)}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.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\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.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\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault()})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault()})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",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),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(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)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=!1){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t)}removeClassName(t){this._element.classList.remove(t)}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(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}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(!0),this}}const $i={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};let Ji=0,Ki=!1;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish()}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:!0})},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===t.code&&Ki)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=t=>{if(this._map){if(!1===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}else{const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")))}))}},this.options=e.e({},$i,t)}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=!1){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state}catch(t){Gi=!!window.navigator.geolocation}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){void 0!==this._geolocationWatchID&&(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(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=!1}_isOutOfMapMaxBounds(t){const 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())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`}trigger(){if(!this._setup)return e.w(\"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 e.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ji--,Ki=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=!0):(t=this.options.positionOptions,Ki=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i}&nbsp;${n}`}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}}const ia={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.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),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point)},this._onMouseMove=t=>{this._update(t.point)},this._onDrag=t=>{this._update(t.point)},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(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=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.y<e?[\"top\"]:n.y>this._map.transform.height-e?[\"bottom\"]:[],n.x<t/2?r.push(\"left\"):n.x>this._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\")}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\")},this._onClose=()=>{this.remove()},this.options=e.e(Object.create(ia),t)}addTo(t){return this._map&&this.remove(),this._map=t,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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus()}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return{center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return{center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return{center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}))},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}))},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=!0===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=!0===r.preserveDrawingBuffer,this._antialias=!0===r.antialias,this._trackResize=!0===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=!0===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=!0===r.crossSourceCollisions,this._collectResourceTiming=!0===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=!0===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else{if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,!1);let t=!1;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update()}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t))})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t))})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t))}))}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e)}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(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\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(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\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(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\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(t){if((t=null==t?60:t)>85)throw new Error(\"maxPitch must be less than or equal to 85\");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\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=!1;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=!0,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=!1};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=!1;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=!0:n&&(n=!1,r.call(this,new Nn(t,this,i.originalEvent)))},a=e=>{n&&(n=!1,r.call(this,new Nn(t,this,e.originalEvent)))};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features)};return{layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;t<i.length;t++){const n=i[t];if(n.layer===e&&n.listener===r){for(const t in n.delegates)this.off(t,n.delegates[t]);return i.splice(t,1),this}}})(this._delegatedListeners),this}queryRenderedFeatures(t,r){if(!this.style)return[];let n;const i=t instanceof e.P||Array.isArray(t),a=i?t:[[0,0],[this.transform.width,this.transform.height]];if(r=r||(i?{}:t)||{},a instanceof e.P||\"number\"==typeof a[0])n=[e.P.convert(a)];else{const t=e.P.convert(a[0]),r=e.P.convert(a[1]);n=[t,new e.P(r.x,t.y),r,new e.P(t.x,r.y),t]}return this.style.queryRenderedFeatures(n,r,this.transform)}querySourceFeatures(t,e){return this.style.querySourceFeatures(t,e)}setStyle(t,r){return!1!==(r=e.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&t?(this._diffStyle(t,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(t,r))}setTransformRequest(t){return this._requestManager.setTransformRequest(t),this}_getUIString(t){const e=this._locale[t];if(null==e)throw new Error(`Missing UI string '${t}'`);return e}_updateStyle(t,e){if(e.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r)})).catch((t=>{t&&this.fire(new e.j(t))}))}else\"object\"==typeof t&&this._updateDiff(t,r)}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0)}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}.  Rebuilding the style from scratch.`),this._updateStyle(t,r)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)))}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}}return!0}removeSource(t){return this.style.removeSource(t),this._update(!0)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=!1,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(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`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0})}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(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(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),!1)}removeImage(t){this.style.removeImage(t)}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(!0)}removeLayer(t){return this.style.removeLayer(t),this._update(!0)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(!0)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(!0)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(!0)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(!0)})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(!0)})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`}_setupPainter(){const t={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type)}),{once:!0});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t)}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=!0,this._crossFadingFactor=s),this.style.update(o)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=!0,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=!0,this.fire(new e.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())}get showPadding(){return!!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())}get repaint(){return!!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(t){this._vertices=t,this._update()}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const 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())},this._rotateCompassArrow=()=>{const 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},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(t=>this._map.zoomIn({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(t=>this._map.zoomOut({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(t=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:t}):this._map.resetNorth({},{originalEvent:t})})),this._compassIcon=o.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(t){return 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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 1.599e+00 seconds\n",
      "normalized average <Bn> = 0.0004788754864232121\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x383.879 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$\")\n",
    "\n",
    "plt.colorbar()\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "58ee5a69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 8.346e-01 seconds\n",
      "normalized average <Bn> = 0.000485458119543435\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 575.819x383.879 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "coilset_helical = coilset_helical.to_FourierXYZ(N=30)\n",
    "t1 = time.time()\n",
    "Bn, _ = coilset_helical.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\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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",
      "text/plain": [
       "<Figure size 1151.64x959.698 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": [
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          2110,
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          2111,
          2111,
          2112,
          2112,
          2113,
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          2114,
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          2115,
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          2119,
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          2157,
          2158,
          2158,
          2159,
          2159,
          2160,
          2160,
          2161,
          2161,
          2162,
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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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